1. Introduction

The OFDM is the key technique for 4G networks, and it can effectively transform a frequency-selective (FS) channel into multiple frequency-flat channels at different sub-carriers, allowing easy onetap channel equalization to alleviate the multi-path effect [^[1], 2]. Nonetheless, OFDM also has drawbacks, such as large side lobes in spectrum, large PAPR, higher adjacent channel interference and higher power radiation OOB. While OFDM uses the CP to mitigate the ISI problem but reduces the overall spectral efficiency [3]–[6].

OFDM main drawback [7] is its sensitivity to frequency offsets, also known as carrier frequency offset (CFO). This problem can be divided into two situations: (i) the frequency mismatch in the oscillators of the transceiver, and, (ii) the Doppler Effect as the transmitter and the receiver move relatively. The CFO is classified into two types: the integer offset frequency (IFO) and the fractional offset frequency (FFO). IFO causes the sub-carriers to shift on the receiver side, which causes a major deterioration of the bit error appear. With FFO, its presence will demolish the orthogonality among the sub-carriers [8]. Therefore, the time varying channel deteriorates the BER performance of OFDM systems. ICI mitigation schemes for high mobility OFDM systems can be classified into two categories.

The first category is the receiver ICI cancellation schemes [9]. The second category is ICI self-cancellation schemes [10]. The receiver ICI cancellation schemes require estimation the characteristics of time varying channel to mitigate the interference of each sub-carrier to adjacent sub-carriers (ICI). This category handles normalized Doppler frequency up to _d = 0.3 but suffers from less accuracy, Large computational complexity due to large number of iterations and needs extra BW due to pilots. The ICI self-cancellation scheme is based on the difference between the ICI coefficients of two consecutive sub-carriers is very small. Thus, the main idea is to modulate the input data symbol onto a group of sub-carriers with predefined coefficients such that the generated ICI signals within that group cancel each other hence the name self-cancellation. The ICI self-cancellation schemes are not spectral efficient because redundant data in the transmitter. It suffers from reduction 50% of the system throughput, and it mitigates ICI up to _d = 0.2.

Therefore, a half-time OFDM-STC is needed. The STC scheme raises the spacing of the sub-carrier twice, thus reducing the Doppler frequency by 50 percent and then improving the efficiency of the BER compared with OFDM. STC model is applied by distributing input information streams and combining them. STC has been significantly overcoming both of ICI and CFO [11, 12]. During an OFDM symbol duration expose time varying channel in high-speed mobile environments, thus being orthogonality disrupted resulting in ICI and therefore, the system efficiency is diminished [13].

Many other non-orthogonal filtering-base waveform have currently been introduced to satisfy the 5G specifications. With regard to the filtering’s granularity, these waveform candidates can be categorized into two kinds: sub band filtering and sub-carrier filtering. FBMC [14, 15] is a sub-carrier filtering waveform. FBMC, theoretically, the frequency localization C/C’s resulting from the long-length filters’s prototype will make CFO more robust; it is hard to design a prototype filters with low OOB to mitigate ISI and ICI. In this paper, the FBMC scheme [16] will be implemented and compared with the proposed system.

This paper’s key contribution is to address some of the problems in wireless communications networks that adopt 5G technology based on STC scheme. STC model compresses symbol duration of OFDM into the half. This paper would leverage the 50% symbol interval compression obtained by using the STC strategy by extending the duration of the symbol without degradation of the system’s throughput. In this paper, the STC-Shaped system will be modified for completely ICI cancellation due to high mobility with keeping of OOB power reduction, PAPR reduction, ISI reduction and CP removal [17].

The proposed modified STC-Shaped system is achieved by using symbol extension, symbol shaper in the transmitter side and combiner process in the receiver side. The symbol extension will repeat the compressed OFDM symbol data in the transmitter side. Therefore, the entire OFDM symbol is composed of N data coeffect includes data from the STC accompanied by its repeater. Next, the shaper of symbol will be applied using the suggested raised cosine function (RCF). Then, data is transmitted via linear time varying (LTV) channel. The useful information and its repeater with using a symbol shaper will ensure proper retrieval of data in receiver. The combiner is attained at the receiver side. This Paper contributes the following

• The proposed system decreases OOB power radiation for traditional OFDM system which is very near to the needs of 5G such as FBMC.
• And though, CP is removed, in multi-path environment the scheme is more rigorous against ISI.
• PAPR is also reduced in this method as opposed to traditional

OFDM and FBMC.

• The performance of the proposed scheme is investigated for BPSK modulation technique in DVB-T2 system under COST 207, typical rural fading channel environment. The performance measurements are the ICI power and bit errors rate (BER). It is demonstrated that, under normalized Doppler frequency, the proposed modified STC-Shaped scheme significantly improves the BER efficiency.
• Also, the proposed scheme decreases the ICI power compared to OFDM and FBMC. A significant power saving of the proposed scheme is aimed during the system development and implementation.

The substance of this paper is structured as follows: The FBMC transceiver is presented in section two. The OFDM system in high mobility was presented in Section three. The proposed modified STC-Shaped model has been covered in Section four. Analysis of ICI power is demonstrated in Section five. The obtained simulation results are shown in section six. The complexity of the proposed system is introduced in section seven. Finally, Section eight indicated the conclusion of the proposed system.

2. Overview of Filter Bank Multi-Carriers

In the QAM modulator, the stream from a binary source is converted to parallel data streams. IFFT algorithm is applied for conversion to time domain. The output stream of IFFT is suitable to the FIR filter Poly-phase Network (PPN) at an overlap factor K=4. This transmitter-side PPN filters are known as synthesis filters. These filters output are again converted into serial pattern for transmission. The mathematical basis for the design of the PHYDYAS project synthesis filters has been obtained in Eq.1. Fig.1 displays the FBMC transmitter block diagram [16].

where:

At the receiver side of Fig.1, y(n) denotes the received signal of Eq.2 where t(n) is the transmitted signal and C is the channel impulse response, w(n) symbolizes the AWGN added to the signal.

The signal is transmitted through the RF down conversion, where it has been divided into parallel streams. The PPN is the analytic filter in the receiver-side, and then Fast Fourier Transform converts the signal into frequency domain. And finally OQAM is converted to QAM which leads to recovery of initial bits of data. The block diagram of the overall FBMC system is shown in figure 1.

Figure 1: Block diagram of FBMC System[16].

3. Conventional OFDM Model Under Time Varying Channel

On the transmitter side, the following equation is described as a discrete OFDM symbol after IFFT [12, 13]:

The n^th received symbol of OFDM through multi-path timevarying channel after CP removal is as follows [12, 13]:

where:

The received OFDM symbol at the m^th sub-carrier is written as follows [12, 13]:

during OFDM symbol duration, that is 0 ≤ n ≤ N − 1, thus there is no ICI terms. In contrast, if H_m,m0 , 0 for m⁰ , m ICI occurs due to time variation of each complex path gain h⁽_n^l), within one OFDM symbol 0 ≤ n ≤ N − 1. In the next section, the proposed modified STC Shaped scheme will be discussed and implemented.

4. The Proposed Modified STC-Shaped System

The proposed scheme is based on STC process, symbol extension and symbol shaping at the transmitter side, while only combining process at the receiver side. The desiring steps of the proposed method are followed;

In the transmitter side

• Input data streams are entered into STC stage.
• After STC process, the number of sub carriers decreased into half.
• Symbol extension process is proposed by repeating the compressed OFDM symbol in front of the useful part.
• The symbol shaper is suggested by using modified raised cosin function.
• Finally, the transmitted data has been sent to the LTV channel.

In the receiver side

• The received data are entered to the proposed combining stage for retrieving compressed OFDM symbol, which the extended part is combined to the corresponding information part.
• Finally, the STE stage is used to recovery the original input data streams.

The block diagram of the overall proposed system is shown in figure 2. After STC process, the number of sub-carriers becomes N_c = ^N [17]. After IFFT, the n^th compressed OFDM symbol is 2 expressed by modifying Eq.4 as follows:

Figure 2: Block diagram of the proposed modified STC-Shaped System.

Thus, after STC process, the transmitted signal as shown in figure 3

Figure 3: Time domain signal of the STC scheme and OFDM [17].

The symbol extension process is achieved by repeating the compressed OFDM symbol X_m^c in front of the useful part as shown in figure 4.

Figure 4: Symbol Expansion process in the transmitter for proposed system.

Thus, the time domain after symbol extension process becomes:

The symbol shaper is achieved by using the raised cosine was proposed in [17], but with minor modification makes the raised cosine function (RCF) is symmetric around zero with keeping on the complementary concept for the negative part and positive part.

Thus, the modified symbol shaping is expressed as follows:

Figure 5: The proposed modified raised cosine function.

In this paper, the channel is assumed to be linear time varying channel (LTV) during OFDM symbol as follows:

Where:

Thus, the received signal over LTV multi-path channel is expressed as follows:

The proposed receiver for modified STC-Shaped system is achieved by only combining process. This stage is used to retrieve compressed symbol of OFDM in the receiver side. However, the extended part is combined to the corresponding information part. The combined time domain signal is derived as follows:

Therefore, the equivalent channel time variation of the proposed modified STC-Shaped scheme is turned into flat with constant gain. As a result, the overall channel time variation is completely canceled without throughput loss.

5. ICI Power Analysis

In this section, the ICI power analysis of the proposed modified STC-Shaped scheme in high mobility will be discussed. The performance of the proposed modified STC-Shaped scheme is evaluated by computing the ICI power of the system. The ICI power of proposed modified STC-Shaped scheme is computed as follows:

Where:

The equivalent channel time variation after applying the proposed modified STC-Shaped scheme is expressed as follows:

6. Simulation Results

In this paragraph, some numerical results for simulation are provided to analyze the performance of the proposed modified STCShaped model. The proposed modified STC-Shaped scheme is investigated in DVB-T2 OFDM system parameters in Table 1.

Table 1: Simulation system parameter [16, 17].

The proposed modified STC-Shaped scheme is investigated under multi-path Rayleigh fading environment. The power delay profile of COST 207 rural area (RA) environment channel model which is summarized in Table 2.

Table 2: Power Delay Profile [10, 15].

The proposed model is simulated by Matlab 2019 m-files software using intel Core i7-8550U CPU @1.99 GHz, 16.0 GB RAM, x64 Operating System for Windows 10 ultimate version. The results show the implemented model using Matlab M-file with respect to the theoretical results. The following paragraphs include demonstration ICI performance, BER, sidelobes suppression, and PAPR performance.

6.1    ICI Power Performance

Therefore, the time varying channel deteriorates the BER performance of OFDM systems. The proposed scheme will use proposed windowing technique for all symbol transmitted via channel, while OQAM-FBMC used a sub-carrier windowing waveform. Figure 6 is dedicated as illustrative graph for eight Consecutive OFDM sub-carriers in cases of without shaping and with shaping.

It is observed from figure 6 that, the symbol shaping reduces amplitude at sub-carrier index, so the ICI power will be reduced. figure 7 illustrates the ICI power of conventional OFDM, OQAM-FBMC and the proposed modified STC-Shaped schemes versus normalized Doppler frequency _d. figure 7 shows that the ICI power of the proposed modified STC-Shaped scheme is less than the OQAM-FBMC and conventional OFDM system for different normalized Doppler frequencies.

Figure 6: Consecutive OFDM subcarriers of (a) Without Shaping and (b) With Shaping.

At _d= 0.19 , the ICI power of the proposed modified STCShaped scheme is – 29.43 dB but the ICI power of OQAM-FBMC scheme is – 6.074 dB and the ICI power of conventional OFDM scheme is – 12.62 dB. Thus, the ICI power reduction using the proposed modified STC-Shaped scheme is 16.81 dB compared to OFDM and 23.36 compared to FBMC. As a result, the proposed scheme significantly reduces the ICI power compared to the OFDM and FBMC schemes. The simulated ICI power results of the proposed modified STC-Shaped scheme conform to the theoretical results.

Figure 7: The ICI power of the proposed scheme versus _d.

6.2     Combined ISI & ICI Performance

This section evaluates the performance of OFDM system in time varying channel due to high mobility. The proposed modified STCShaped system is proposed for ICI reduction caused by high mobility. It is investigated in 2k mode DVB-T2 OFDM system parameters. It is evaluated under AWGN and multi-path Rayleigh fading channel for BPSK modulation scheme at 600 km/hr traveling mobile speed which corresponds to _d= 0.19. figure 8 and figure 9 show the BER performance of BPSK modulation scheme for the proposed modified STC-Shaped scheme compared to the conventional OFDM and OQAM-FBMC systems under AWGN and Rayleigh fading in high mobility respectively.

Figure 9: The BER performance under multipath fading channel at _d= 0.19 .

Side-lobe Suppression Performances

A comparison with the proposed system is discussed with the conventional OFDM, and FBM. figure 10a, figure 10b and figure 10c respectively depict the PSD for the traditional OFDM, the proposed modified STC-Shaped system and OQAM-FBMC.

PAPR Efficiency

The disadvantage of OFDM multi-carrier systems is a higher peaks of the coherently non-constant envelopes added [19]. The OFDM signal has addition of N sub-carriers. If N is large enough, a resulting signal is near a complex Gaussian model. This means that Gaussian is distributed for both its imaginary and real parts, and that its envelope and energy satisfy Rayleigh and exponential distributions respectively. PAPR is expressed as a discrete version of X[n] [20, 21].

Figure 11 shows the calculated cumulative distribution function of proposed modified STC- Shaped system without CP. It has the performance of PAPR which is referred to as 3dB better than the traditional OFDM and 4dB better than the OQAM-FBMC.

Figure 10: PSD of (a) traditional OFDM scheme[22], (b)proposed modified STCShaped system scheme and (c) FBMC scheme [23, 24].

6.5    Power Saving

The transmitted power for OFDM symbol after shaping can be estimated as follows:

where: P_T is the transmitted average power after shaping, h(n) is the filter response and Pˆ is the power for symbol without shaping. The factor of |h(n)|² can be calculated from Eq.8 which is estimated by  . So, the transmitted after shaping is reduced by  value of the power before. Thus, the proposed scheme would be saved to around -4.3 dB of the conventional OFDM transmitted power. Power amplifier rating could therefore be reduced by the estimated factor (-4.3 dB).

Figure 11: PAPR for OFDM, FBMC and proposed modified STC-Shaped systems.

7. Computational Complexity Analysis

For this paragraph, it is possible to obtain the computational complexity of the proposed modified STC-Shaped system in terms of number of multiplications as well as the number of additions compared to traditional OFDM, and OQAM-FBMC schemes as shown in Table 3.

Table 3: Comparative analysis of both the number of multiplication as well as addition processes.

Finally, for the suggested scheme, the computational complexity is proportional to Nlog₂(N), while FBMC has been used in 5G proportional to N². The proposed modified STC-Shaped model can thus fulfill very low computational complexity 5G requirements compared to FBMC requirements.

8. Conclusion

The optimal performance of mobile 5G green communications has been introduced and satisfactory implemented. An efficient performance STC based on time symbol modification has been suggested to increase the utilization factor of the band width as well as the reduction in band capacity. The shaped-STC will be adapted to an efficient STC-Shaped scheme for completely ICI cancellation due to high mobility with keeping of OOB power reduction in addition to PAPR, ISI reduction and CP elimination. The simulation results compare the proposed scheme performance with OFDM and OQAM-FBMC.

The proposed modified STC-Shaped scheme is investigated under AWGN and multi-path Rayleigh fading channel for BPSK modulation scheme at _d=0.19. The proposed STC scheme has been achieved improvement on the BER performance compared to the conventional OFDM and OQAM-FBMC systems. It has been provided around -3 dB PAPR reductions about conventional OFDM, while for PAPR reduction -4 dB PAPR reductions compared to OQAM-FBMC. It had also offered a significant -80 dB lower than OFDM OOB radiation. The system results have been revealed a better performance throughout the computational complexity. The theoretical ICI power of the proposed STC scheme is computed. Finally this scheme has been saved the transmitted power to around -4.3 dB compared to the conventional OFDM transmitted power. The simulation results of the ICI power and BER performance were in a satisfactory agreement with the theoretical results.

The future work could cover latency, throughput, and higher order compression technique to meet the 5G requirements.

1. A. Gupta, R. K. Jha, “A Survey of 5G Network: Architecture and Emerging Technologies,” IEEE Access, 3, 1206–1232, 2015, doi:10.1109/ACCESS.2015. 2461602.
2. Y. Tao, L. Liu, S. Liu, Z. Zhang, “A survey: Several technologies of non- orthogonal transmission for 5G,” China communications, 12(10), 1–15, 2015, doi:10.1109/CC.2015.7315054.
3. K. Hussain, A. Lojo, R. Lo´pez-Valcarce, “Flexible spectral precoding for sidelobe suppression in OFDM systems,” in ICASSP 2019-2019 IEEE Inter- national Conference on Acoustics, Speech and Signal Processing (ICASSP), 4789–4793, IEEE, 2019, doi:10.1109/ICASSP.2019.8683162.
4. Y. Mizutani, K. Mizutani, T. Matsumura, H. Harada, “A Low-pass Fil- tered Time-domain Window for DFTs-OFDM to Reduce Out-of-band Emis- sion with Low Complexity,” in 2019 16th IEEE Annual Consumer Com- munications & Networking Conference (CCNC), 1–2, IEEE, 2019, doi: 10.1109/CCNC.2019.8651816.
5. S.-P. Lin, Y.-F. Chen, S.-M. Tseng, “Iterative smoothing filtering schemes by using clipping noise-assisted signals for PAPR reduction in OFDM-based carrier aggregation systems,” IET Communications, 13(6), 802–808, 2019, doi:10.1049/iet-com.2018.5421.
6. S. Lu, D. Qu, Y. He, “Sliding window tone reservation technique for the peak-to-average power ratio reduction of FBMC-OQAM signals,” IEEE Wire- less Communications Letters, 1(4), 268–271, 2012, doi:10.1109/WCL.2012. 062512.120360.
7. H. Nguyen, N. T. Le, T. L. Pham, Y. M. Jang, “A new method for mitiga- tion of mobility effect of SUN MR-OFDM in Fast Fading channel,” in 2019 International Conference on Information and Communication Technology Convergence (ICTC), 1422–1425, IEEE, 2019, doi:10.1109/ICTC46691.2019. 8939879.
8. M. Liu, J. Chen, B. Li, J. Li, “Fractional frequency offset estimation for OFDM systems in non-cooperative communication,” China Communications, 13(9), 65–71, 2016, doi:10.1109/CC.2016.7582298.
9. L. Zhang, Z. Hong, L. Thibault, R. Boudreau, Y. Wu, “A low-complexity robust OFDM receiver for fast fading channels,” IEEE transactions on broadcasting, 60(2), 347–357, 2014, doi:10.1109/TBC.2014.2321681.
10. K.-Y. Lin, H.-P. Lin, M.-C. Tseng, “An equivalent channel time variation mitiga- tion schefme for ICI reduction in high-mobility OFDM systems,” IEEE transac- tions on broadcasting, 58(3), 472–479, 2012, doi:10.1109/TBC.2012.2197450.
11. M. S. El-Bakry, H. A. El-Shenawy, A. E.-H. A. Ammar, “A symbol time compression for ICI reduction in high mobility OFDM systems,” in 2017 29th International Conference on Microelectronics (ICM), 1–4, IEEE, 2017, doi:10.1109/ICM.2017.8268816.
12. M. S. El-Bakry, H. A. El-Shenawy, A. E.-H. A. Ammar, “A time inversion and symbol time compression (TI-STC) scheme for ICI cancellation in high mobility OFDM systems,” in 2017 Japan-Africa Conference on Electron- ics, Communications and Computers (JAC-ECC), 82–85, IEEE, 2017, doi: 10.1109/JEC-ECC.2017.8305779.
13. L. Yang, G. Ren, Z. Qiu, “A novel Doppler frequency offset estimation method for DVB-T system in HST environment,” IEEE Transactions on Broadcasting, 58(1), 139–143, 2011, doi:10.1109/TBC.2011.2170609.
14. Q. Zheng, F. Wang, X. Chen, Y. Liu, D. Miao, Z. Zhao, “Comparison of 5G waveform candidates in high speed scenario,” in 2017 XXXIInd General As- sembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 1–4, IEEE, 2017, doi:10.23919/URSIGASS.2017.8105377.
15. A. Bazin, B. Jahan, M. He´lard, “Impact of the Doppler effect on the capacity of massive MIMO uplink systems: OFDM versus FBMC/OQAM,” in 2017 24th International Conference on Telecommunications (ICT), 1–6, IEEE, 2017, doi:10.1109/ICT.2017.7998233.
16. B. Ahmed, M. Zeeshan, “Effect of Carrier Frequency Offset on the Perfor- mance of FBMC and GFDM under Multipath Fading Channels,” in 2018 21st International Symposium on Wireless Personal Multimedia Communications (WPMC), 240–245, IEEE, 2018, doi:10.1109/WPMC.2018.8712933.
17. M. Y. I. Afifi, M. S. Elbakry, E.-S. S. A. Soliman, A. A. Ammar, “An efficient technique for out-of-band power reduction for the eliminated CP-STC-shaped system for 5G requirements,” International Journal of Electrical and Computer Engineering, 10(5), 5306, 2020, doi:10.11591/ijece.v10i5.pp5306-5315.
18. P. Kundu, P. Kaur, “Comparison of peak to average power reduction tech- niques in OFDM,” in 2014 International Conference on Advances in Com- puting, Communications and Informatics (ICACCI), 875–879, IEEE, 2014, doi:10.1109/ICACCI.2014.6968456.
19. Y. Rahmatallah, S. Mohan, “Peak-to-average power ratio reduction in OFDM systems: A survey and taxonomy,” IEEE communications surveys & tutorials, 15(4), 1567–1592, 2013, doi:10.1109/SURV.2013.021313.00164.
20. U. B. Mahadevaswamy, M. N. Geetha, “A comparative survey on PAPR re- duction in OFDM signal,” in 2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques (ICEEC- COT), 123–126, IEEE, 2016, doi:10.1109/ICEECCOT.2016.7955199.
21. L. Pan, J. Ye, X. Yuan, “Spectral Precoding for Out-of-Band Power Re- duction Under Condition Number Constraint in OFDM-Based Systems,” Wireless Personal Communications, 95(2), 1677–1691, 2017, doi:10.1007/ s11277-016-3874-8.
22. S. Nagul, “A review on 5G modulation schemes and their comparisons for future wireless communications,” in 2018 Conference on Signal Processing And Communication Engineering Systems (SPACES), 72–76, IEEE, 2018, doi:10.1109/SPACES.2018.8316319.
23. S. Kundrapu, S. I. Dutt, N. K. Koilada, A. C. Raavi, “Characteristic Analysis of OFDM, FBMC and UFMC Modulation Schemes for Next Generation Wireless Communication Network Systems,” in 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA), 715–721, IEEE, 2019, doi:10.1109/ICECA.2019.8821991.
24. A. Husam, Z. Kolla´r, “Complexity Comparison of Filter Bank Multicarrier Transmitter Schemes,” in 2018 11th International Symposium on Communica- tion Systems, Networks & Digital Signal Processing (CSNDSP), 1–4, IEEE, 2018, doi:10.1109/CSNDSP.2018.8471795.

Citations by Dimensions

Citations by PlumX

Google Scholar

Crossref Citations

1. Kohinur Parvin, Eshat Ahmad Shuvo, Wali Ashraf Khan, Sakibul Alam Adib, Tahmina Akter Eiti, Mohammad Shovon, Shoeb Akter Nafiz, "Computationally Efficient Explainable AI Framework for Skin Cancer Detection", Advances in Science, Technology and Engineering Systems Journal, vol. 11, no. 1, pp. 11–24, 2026. doi: 10.25046/aj110102
2. Marlene Böhmer, Thorsten Herfet, "PerfVis+: From Timestamps to Insight through Integration of Visual and Statistical Analysis", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 6, pp. 77–87, 2025. doi: 10.25046/aj100607
3. Hiroshi Ito, Hideki Ohno, Hikaru Kitano, Shuichi Matsumoto, "Private 5G MIMO for Cable TV IP Broadcasting", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 6, pp. 23–28, 2025. doi: 10.25046/aj100602
4. Vinton Morris, Kevin Kornegay, Joy Falaye, Sean Richardson, Marcial Tienteu, Loic Jephson Djomo Tchuenkou, "TIMeFoRCE: An Identity and Access Management Framework for IoT Devices in A Zero Trust Architecture", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 6, pp. 1–22, 2025. doi: 10.25046/aj100601
5. Nnamdi Chimaobi Ezenwegbu, Austin Ikechukwu Gbasouzor, Augustine Azabaze Akaho, Ogochukwu Clementina Okeke, Chebet Evaline Langat, "Economic Replacement of Plants and Equipment: A Decision-Making Framework in Engineering", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 5, pp. 20–32, 2025. doi: 10.25046/aj100503
6. khawla Alhasan, "Predictive Analytics in Marketing: Evaluating its Effectiveness in Driving Customer Engagement", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 3, pp. 45–51, 2025. doi: 10.25046/aj100306
7. Khalifa Sylla, Birahim Babou, Mama Amar, Samuel Ouya, "Impact of Integrating Chatbots into Digital Universities Platforms on the Interactions between the Learner and the Educational Content", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 1, pp. 13–19, 2025. doi: 10.25046/aj100103
8. Tanay Patni, Abhijit Pethe, "True Random Number Generator Implemented in ReRAM Crossbar Based on Static Stochasticity of ReRAMs", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 5, pp. 30–36, 2024. doi: 10.25046/aj090504
9. Wai Yie Leong, Yuan Zhi Leong, Wai San Leong, "Energy Management Policy and Strategies in ASEAN", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 4, pp. 102–109, 2024. doi: 10.25046/aj090411
10. WaiYie Leong, LeeSun Heng, YuanZhi Leong, "Malaysia’s Renewable Energy Policy and its Impact on ASEAN Countries", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 2, pp. 67–73, 2024. doi: 10.25046/aj090208
11. Marco I. Bonelli, Jiahao Liu, "Revolutionizing Robo-Advisors: Unveiling Global Financial Markets, AI-Driven Innovations, and Technological Landscapes for Enhanced Investment Decisions", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 2, pp. 33–44, 2024. doi: 10.25046/aj090205
12. Wordh Ul Hasan, Kimia Tuz Zaman, Shadi Alian, Tianyi Liang, Vikram Pandey, Jun Kong, Cui Tao, Juan Li, "Bridging Culture and Care: A Mobile App for Diabetes Self-Care Honoring Native American Cultural Practices", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 1, pp. 104–113, 2024. doi: 10.25046/aj090110
13. Alioune Cisse, Ousmane Diallo, EL Hadji Malick Ndoye, Mamadou Sy, Ousseynou Sene, Joel José Puga Coelho Rodrigues, "A Smart Farming Management System based on IoT Technologies for Sustainable Agriculture", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 1, pp. 1–8, 2024. doi: 10.25046/aj090101
14. John Tsiligaridis, "Tree-Based Ensemble Models, Algorithms and Performance Measures for Classification", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 19–25, 2023. doi: 10.25046/aj080603
15. Nizar Sakli, Chokri Baccouch, Hedia Bellali, Ahmed Zouinkhi, Mustapha Najjari, "IoT System and Deep Learning Model to Predict Cardiovascular Disease Based on ECG Signal", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 08–18, 2023. doi: 10.25046/aj080602
16. Mohamed Nayef Zareer, Rastko Selmic, "Modeling Control Agents in Social Media Networks Using Reinforcement Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 5, pp. 62–69, 2023. doi: 10.25046/aj080507
17. Sahar Fekry Abdel-Momen, Abdel Halim Abdelnaby Zekry, Ashraf Yehia Hassan, Wageeda Ibrahim Shaban, Mustafa Mohammed Shiple, "FPGA Implementation of 5G NR LDPC Codes", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 4, pp. 91–100, 2023. doi: 10.25046/aj080411
18. Abdulwahid Mohammed, Mohamed S. Elbakry, Hassan Mostafa, Abdelhady Abdelazim Ammar, "Doubling the Number of Connected Devices in Narrow-band Internet of Things while Maintaining System Performance: An STC-based Approach", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 4, pp. 01–10, 2023. doi: 10.25046/aj080401
19. Ozturk Tosun, Kenan Toker, Ozturk Tosun, Necibe Fusun Oyman Serteller, Vedat Topuz, "The Design, Optimization, and Experimental Study of Hub and Axial Flux BLDC Motor Under Operating Conditions For Light Electric Vehicles", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 272–282, 2023. doi: 10.25046/aj080330
20. Yehan Kodithuwakku, Chanuka Bandara, Ashan Sandanayake, R.A.R Wijesinghe, Velmanickam Logeeshan, "Smart Healthcare Kit for Domestic Purposes", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 170–177, 2023. doi: 10.25046/aj080319
21. Sutham Satthamsakul, Ari Kuswantori, Witsarut Sriratana, Worapong Tangsrirat, Taweepol Suesut, "Landmarking Technique for Improving YOLOv4 Fish Recognition in Various Background Conditions", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 100–107, 2023. doi: 10.25046/aj080312
22. Kangrong Tan, Shozo Tokinaga, "Markov Regime Switching Analysis for COVID-19 Outbreak Situations and their Dynamic Linkages of German Market", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 11–18, 2023. doi: 10.25046/aj080302
23. Temsamani Khallouk Yassine, Achchab Said, Laouami Lamia, Faridi Mohammed, "Hybrid Discriminant Neural Networks for Performance Job Prediction", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 2, pp. 116–122, 2023. doi: 10.25046/aj080213
24. Mohammed Al-Shanfari, "The First Application of the Multistage One-Shot Decision-Making Approach to Reevaluate a Technology Project Decision Problem", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 2, pp. 97–107, 2023. doi: 10.25046/aj080211
25. Ossama Embarak, "Dismantle Shilling Attacks in Recommendations Systems", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 684–691, 2021. doi: 10.25046/aj060174
26. Djamila Hammouche, Karim Atif, "Consideration of Ambiguity in the Analysis Phase of Data Warehouses", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 6, pp. 244–247, 2022. doi: 10.25046/aj070627
27. Gianvito Mitrano, Antonio Caforio, Tobia Calogiuri, Chiara Colucci, Luca Mainetti, Roberto Paiano, Claudio Pascarelli, "A Cloud Telemedicine Platform Based on Workflow Management System: A Review of an Italian Case Study", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 6, pp. 87–102, 2022. doi: 10.25046/aj070610
28. Deeptaanshu Kumar, Ajmal Thanikkal, Prithvi Krishnamurthy, Xinlei Chen, Pei Zhang, "Analysis of Different Supervised Machine Learning Methods for Accelerometer-Based Alcohol Consumption Detection from Physical Activity", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 4, pp. 147–154, 2022. doi: 10.25046/aj070419
29. Hassan Facoiti, Ahmed Boumezzough, Said Safi, "Computer Vision Radar for Autonomous Driving using Histogram Method", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 4, pp. 42–48, 2022. doi: 10.25046/aj070407
30. Diad Ahmad Diad, Domra Kana Janvier, Abdelhakim Boukar, Valentin Oyoa, "The use of Integrated Geophysical Methods to Assess the Petroleum Reservoir in Doba Basin, Chad", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 4, pp. 34–41, 2022. doi: 10.25046/aj070406
31. Tiny du Toit, Hennie Kruger, Lynette Drevin, Nicolaas Maree, "Deep Learning Affective Computing to Elicit Sentiment Towards Information Security Policies", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 3, pp. 152–160, 2022. doi: 10.25046/aj070317
32. Jérémy Quignon, Anthony Tornambe, Thibaut Deleruyelle, Philippe Pannier, "Antenna System Design To Increase Power Transfer Efficiency with NFC Wireless Charging Technology", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 3, pp. 123–128, 2022. doi: 10.25046/aj070314
33. Cosmas Ngozichukwu Anyanwu, Chinazom Janefrances Animoke, Bonaventure Ugo Agu, Izuchukwu Francis Okafor, Nneka Juliana Ogbuagu, Samuel Bentson, Onyekwere Ojike, "Physical and Emission Properties of Blended Bio-Coal Briquettes Derived from Agro-Wastes in Nigeria", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 3, pp. 116–122, 2022. doi: 10.25046/aj070313
34. Noureddine El Abid Amrani, Ezzrhari Fatima Ezzahra, Mohamed Youssfi, Sidi Mohamed Snineh, Omar Bouattane, "A New Technique to Accelerate the Learning Process in Agents based on Reinforcement Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 3, pp. 62–69, 2022. doi: 10.25046/aj070307
35. Lu Xiong, Spendylove Duncan-Williams, "Generalized Linear Model for Predicting the Credit Card Default Payment Risk", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 3, pp. 51–61, 2022. doi: 10.25046/aj070306
36. Hanae Naoum, Sidi Mohamed Benslimane, Mounir Boukadoum, "Encompassing Chaos in Brain-inspired Neural Network Models for Substance Identification and Breast Cancer Detection", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 3, pp. 32–43, 2022. doi: 10.25046/aj070304
37. Aicha Lamjahdi, Hafida Bouloiz, Maryam Gallab, "Heuristic Analysis of Overall Performance Measurement Perception and Management in Automotive Industry", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 3, pp. 1–11, 2022. doi: 10.25046/aj070301
38. Valentyn Tsapenko, Mykola Tereschenko, Vadim Shevchenko, Ruslan Ivanenko, "Methodology for Calculating Shock Loads on the Human Foot", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 58–64, 2021. doi: 10.25046/aj060208
39. Mark Petrov, "An Interdisciplinary Approach to Fracture of Solids from the Standpoint of Condensed Matter Physics", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 2, pp. 133–142, 2022. doi: 10.25046/aj070213
40. Kartit Zaid, Diouri Ouafaa, "Taxonomy of Security Techniques for Routing Protocols in Mobile Ad-hoc Networks", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 2, pp. 25–31, 2022. doi: 10.25046/aj070203
41. Nganyang Paul Bayendang, Mohamed Tariq Khan, Vipin Balyan, "Thermoelectric Generators (TEGs) and Thermoelectric Coolers (TECs) Modeling and Optimal Operation Points Investigation", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 1, pp. 60–78, 2022. doi: 10.25046/aj070107
42. Toshiki Watanabe, Hiroyuki Kameda, "Designing a Model of Consciousness Based on the Findings of Jungian Psychology", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 356–361, 2021. doi: 10.25046/aj060540
43. Mostafa Yacoub, Amira Rezk, Mohamed Senousy, "Enhancing Decision Trees for Data Stream Mining", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 330–334, 2021. doi: 10.25046/aj060537
44. Ana Sucena, Ana Filipa Silva, Cristina Garrido, Cátia Marques, "Reading Acquisition Software for Portuguese: Preliminary Results", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 297–302, 2021. doi: 10.25046/aj060533
45. Caglar Arslan, Selen Sipahio?lu, Emre ?afak, Mesut Gözütok, Tacettin Köprülü, "Comparative Analysis and Modern Applications of PoW, PoS, PPoS Blockchain Consensus Mechanisms and New Distributed Ledger Technologies", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 279–290, 2021. doi: 10.25046/aj060531
46. Filippos Dimitrios Mexis, Aikaterini Papapostolou, Charikleia Karakosta, Elissaios Sarmas, Diamantis Koutsandreas, Haris Doukas, "Leveraging Energy Efficiency Investments: An Innovative Web-based Benchmarking Tool", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 237–248, 2021. doi: 10.25046/aj060526
47. Osaretin Eboya, Julia Binti Juremi, "iDRP Framework: An Intelligent Malware Exploration Framework for Big Data and Internet of Things (IoT) Ecosystem", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 185–202, 2021. doi: 10.25046/aj060521
48. Jotje Rantung, Frans Palobo Sappu, Yan Tondok, "Real-time Measurement Method for Fish Surface Area and Volume Based on Stereo Vision", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 141–148, 2021. doi: 10.25046/aj060516
49. Nuobei Shi, Qin Zeng, Raymond Shu Tak Lee, "The Design and Implementation of Intelligent English Learning Chabot based on Transfer Learning Technology", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 32–42, 2021. doi: 10.25046/aj060505
50. Radwan Qasrawi, Stephanny VicunaPolo, Diala Abu Al-Halawa, Sameh Hallaq, Ziad Abdeen, "Predicting School Children Academic Performance Using Machine Learning Techniques", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 08–15, 2021. doi: 10.25046/aj060502
51. Rafael Souza Cotrim, João Manuel Leitão Pires Caldeira, Vasco Nuno da Gama de Jesus Soares, Pedro Miguel de Figueiredo Dinis Oliveira Gaspar, "Power Saving MAC Protocols in Wireless Sensor Networks: A Performance Assessment Analysis", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 4, pp. 341–347, 2021. doi: 10.25046/aj060438
52. Nahed Hosny Wahba, Wessameldin Salah Abdelaziz, Tharwat Mahmoud Alshirbeni, "Theoretical study for Laser Lines in Carbon like Zn (XXV)", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 4, pp. 334–340, 2021. doi: 10.25046/aj060437
53. Saichon Sinsomboonthong, "Efficiency Comparison in Prediction of Normalization with Data Mining Classification", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 4, pp. 130–137, 2021. doi: 10.25046/aj060415
54. Antonio Casquero Jiménez, Jorge Pérez Martínez, "Remote Patient Monitoring Systems with 5G Networks", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 4, pp. 44–51, 2021. doi: 10.25046/aj060406
55. Kwun-Ping Lai, Jackie Chun-Sing Ho, Wai Lam, "Exploiting Domain-Aware Aspect Similarity for Multi-Source Cross-Domain Sentiment Classification", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 4, pp. 01–12, 2021. doi: 10.25046/aj060401
56. Erika Quiroga, Karen Gutiérrez, "Smart Mobility: Opportunities and Challenges for Colombian Cities", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 3, pp. 332–338, 2021. doi: 10.25046/aj060338
57. Asmae Dakir, Barramou Fatima Zahra, Alami Bachir Omar, "Optical Satellite Images Services for Precision Agricultural use: A Review", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 3, pp. 326–331, 2021. doi: 10.25046/aj060337
58. Rotimi Adediran Ibitomi, Tefo Gordan Sekgweleo, Tiko Iyamu, "Decision Support System for Testing and Evaluating Software in Organizations", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 3, pp. 303–310, 2021. doi: 10.25046/aj060334
59. Amal Khalifa, "Hiding Information in DNA Sequence Data using Open Reading Frame Guided Splicing", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 3, pp. 164–171, 2021. doi: 10.25046/aj060319
60. Julies David Bryan, Tranos Zuva, "A Review on TAM and TOE Framework Progression and How These Models Integrate", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 3, pp. 137–145, 2021. doi: 10.25046/aj060316
61. Juhi Singh, Shalini Agarwal, "Plummeting Makespan by Proficient Workflow Scheduling in Cloud Environment", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 3, pp. 40–44, 2021. doi: 10.25046/aj060306
62. Marlene Ofelia Sanchez-Escobar, Julieta Noguez, Jose Martin Molina-Espinosa, Rafael Lozano-Espinosa, "Supporting the Management of Predictive Analytics Projects in a Decision-Making Center using Process Mining", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 1084–1090, 2021. doi: 10.25046/aj0602123
63. Trust Nhubu, Edison Muzenda, Belaid Mohamed, Charles Mbohwa, "Framework for Decentralizing Municipal Solid Waste Management in Harare, Zimbabwe", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 1029–1037, 2021. doi: 10.25046/aj0602117
64. Trust Nhubu, Edison Muzenda, Belaid Mohamed, Charles Mbohwa, "Assessment of the Municipal Solid Waste Transfer Stations Suitability in Harare, Zimbabwe", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 1002–1012, 2021. doi: 10.25046/aj0602115
65. Dominik Štursa, Daniel Honc, Petr Doležel, "Efficient 2D Detection and Positioning of Complex Objects for Robotic Manipulation Using Fully Convolutional Neural Network", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 915–920, 2021. doi: 10.25046/aj0602104
66. Oumaima Taki, Kaoutar Senhaji Rhazi, Youssef Mejdoub, "A Study of Stirling Engine Efficiency Combined with Solar Energy", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 837–845, 2021. doi: 10.25046/aj060297
67. Yu-Chun Huang, "Analyze Performance of Enterprise Supervision System by Game Theory-Take the case of Tatung Management Rights Competition as Example", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 689–693, 2021. doi: 10.25046/aj060279
68. Jason Valera, Sebastian Herrera, "Design Approach of an Electric Single-Seat Vehicle with ABS and TCS for Autonomous Driving Based on Q-Learning Algorithm", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 464–471, 2021. doi: 10.25046/aj060253
69. Majda Lakhal, Mohamed Benslimane, Mehdi Tmimi, Abdelali Ibriz, "Architecture of Real-Time Patient Health Monitoring Based on 5G Technologies", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 351–358, 2021. doi: 10.25046/aj060240
70. Sk. Md. Masudul Ahsan, Aminul Islam, "Visual Saliency Detection using Seam and Color Cues", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 139–153, 2021. doi: 10.25046/aj060217
71. Amine Mounaam, Ridouane Oulhiq, Ahmed Souissi, Mohamed Salouhi, Khalid Benjelloun, Ahmed Bichri, "A Model-Driven Digital Twin Framework Development for Sulfur Dioxide Conversion Units Simulation", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 122–131, 2021. doi: 10.25046/aj060215
72. Hyeongjoo Kim, Sunyong Byun, "Designing and Applying a Moral Turing Test", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 93–98, 2021. doi: 10.25046/aj060212
73. Helen Leligou, Despina Anastasopoulos, Anita Montagna, Vassilis Solachidis, Nicholas Vretos, "Combining ICT Technologies To Serve Societal Challenges", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 1319–1327, 2021. doi: 10.25046/aj0601151
74. Saliha Assoul, Anass Rabii, Ounsa Roudiès, "An Operational Responsibility and Task Monitoring Method: A Data Breach Case Study", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 1157–1163, 2021. doi: 10.25046/aj0601130
75. Dominique Bonkoungou, Toussaint Guingane, Eric Korsaga, Sosthène Tassembedo, Zacharie Koalaga, Arouna Darga, François Zougmore, "Parameters Degradation Analysis of a Silicon Solar Cell in Dark/Light Condition using Measured I-V Data", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 1151–1156, 2021. doi: 10.25046/aj0601129
76. Basavaraj Madagouda, R. Sumathi, "Artificial Neural Network Approach using Mobile Agent for Localization in Wireless Sensor Networks", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 1137–1144, 2021. doi: 10.25046/aj0601127
77. Saruntorn Mongkolchaichana, Busaba Phruksaphanrat, "Prioritization of Sustainable Supply Chain Management Practices in an Automotive Elastomer Manufacturer in Thailand", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 1079–1090, 2021. doi: 10.25046/aj0601120
78. Hajar Bouazza, Aarti Bansal, Mohsine Bouya, Azeddine Wahbi, Antonio Lazaro, Abdelkader Hadjoudja, "Modeling and Design of a Compact Metal Mountable Dual-band UHF RFID Tag Antenna with Open Bent Stub Feed for Transport and Logistics Fields", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 1065–1071, 2021. doi: 10.25046/aj0601118
79. Mohammed Hamim, Ismail El Moudden, Hicham Moutachaouik, Mustapha Hain, "Gene Selection for Cancer Classification: A New Hybrid Filter-C5.0 Approach for Breast Cancer Risk Prediction", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 871–878, 2021. doi: 10.25046/aj060196
80. Doni Purnama Alamsyah, Norfaridatul Akmaliah Othman, Rudy Aryanto, Mulyani, Yogi Udjaja, "Customer Behavior of Green Advertising: Confirmatory Factor Analysis", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 833–841, 2021. doi: 10.25046/aj060192
81. Anass Barodi, Abderrahim Bajit, Taoufiq El Harrouti, Ahmed Tamtaoui, Mohammed Benbrahim, "An Enhanced Artificial Intelligence-Based Approach Applied to Vehicular Traffic Signs Detection and Road Safety Enhancement", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 672–683, 2021. doi: 10.25046/aj060173
82. Nina Bakanova, Arsenii Bakanov, Tatiana Atanasova, "Modelling Human-Computer Interactions based on Cognitive Styles within Collective Decision-Making", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 631–635, 2021. doi: 10.25046/aj060169
83. Maroa Semakula, Freddie Inambao, "Waste To Energy Feedstock Sources for the Production of Biodiesel as Fuel Energy in Diesel Engine – A Review", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 409–446, 2021. doi: 10.25046/aj060147
84. Edy Budiman, Unmul Hairah, Masna Wati, Haviluddin, "Sensitivity Analysis of Data Normalization Techniques in Social Assistance Program Decision Making for Online Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 49–56, 2021. doi: 10.25046/aj060106
85. Nop Kongdee, Suparada Prapawong, Manissaward Jintapitak, "The Designing of Institute’s Educational Mascots for Brand Identity", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1759–1777, 2020. doi: 10.25046/aj0506210
86. Safae Bourhnane, Mohamed Riduan Abid, Khalid Zine-Dine, Najib Elkamoun, Driss Benhaddou, "High-Performance Computing: A Cost Effective and Energy Efficient Approach", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1598–1608, 2020. doi: 10.25046/aj0506191
87. Wooyoung Kim, Yi-Hsin Hsu, Zican Li, Preston Mar, Yangxiao Wang, "NemoSuite: Web-based Network Motif Analytic Suite", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1545–1553, 2020. doi: 10.25046/aj0506185
88. Sule Adeniyi Olaniyan, "Impact of Changing Microstructural Compositions of Lime Based Mortar on Flexibility: Case Study of Sustainable Lime-Cement Composites", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1488–1498, 2020. doi: 10.25046/aj0506179
89. Omar Khaled Barakat, Ahmed El-Biomey Mansour, Mahmoud Mohamed Abd Elrazik, Ashraf Aboshosha, Amir Yassin Hassan, "Simulation Based Energy Consumption Optimization for Buildings by Using Various Energy Saving Methods", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1480–1487, 2020. doi: 10.25046/aj0506178
90. El hadji Mbaye Ndiaye, Mactar Faye, Alphousseyni Ndiaye, "Comparative Study Between Three Methods for Optimizing the Power Produced from Photovoltaic Generator", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1458–1465, 2020. doi: 10.25046/aj0506175
91. Nour Najeeb Abdalkareem Qubbaj, Anas Abu Taleb, Walid Salameh, "LEACH Based Protocols: A Survey", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1258–1266, 2020. doi: 10.25046/aj0506150
92. Le Duc Hanh, Huynh Buu Tu, "Computer Vision for Industrial Robot in Planar Bin Picking Application", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1244–1249, 2020. doi: 10.25046/aj0506148
93. Ala Din Trabelsi, Hend Marouane, Faouzi Zarai, "Priority-based Scheduling Algorithm for NOMA-integrated V2X", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1225–1236, 2020. doi: 10.25046/aj0506146
94. Aicha Ousrhire, Hassane Oulidi Jarar, Abdessamad Ghafiri, "Multi-Criteria Decision Analysis Coupled with GIS and Remote Sensing Techniques for Delineating Suitable Artificial Aquifer Recharge Sites in Tafilalet Plain (Morocco)", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1109–1124, 2020. doi: 10.25046/aj0506135
95. Boughanja Manale, Tomader Mazri, "5G, Vehicle to Everything Communication: Opportunities, Constraints and Future Directions", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1089–1095, 2020. doi: 10.25046/aj0506132
96. Nelson Russo, Leonilde Reis, "Updated Analysis of Business Continuity Issues Underlying the Certification of Invoicing Software, Considering a Pandemic Scenario", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 845–852, 2020. doi: 10.25046/aj0506101
97. Jenjira Sukmanee, Ramil Kesvarakul, Nattawut Janthong, "Network Modeling with ANP to Determine the Appropriate Area for the Development of Dry Port in Thailand", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 676–683, 2020. doi: 10.25046/aj050681
98. Azani Cempaka Sari, Natashia Virnilia, Jasmine Tanti Susanto, Kent Anderson Phiedono, Thea Kevin Hartono, "Chatbot Developments in The Business World", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 627–635, 2020. doi: 10.25046/aj050676
99. Khalid Chennoufi, Mohammed Ferfra, "Fast and Efficient Maximum Power Point Tracking Controller for Photovoltaic Modules", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 606–612, 2020. doi: 10.25046/aj050674
100. Alexander Raikov, "Accelerating Decision-Making in Transport Emergency with Artificial Intelligence", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 520–530, 2020. doi: 10.25046/aj050662