Optimization of the Procedures for Checking the Functionality of the Greek Railways: Data Mining and Machine Learning Approach to Predict Passenger Train Immobilization

1. Weske M. Business Process Modelling Foundation. In: Business Process Management. Published by Springer, 2019
2. Aida-Maria P. ‘Business Intelligence Methods for Sustainable Development of the Railways’ Database Systems Journal vol. VI, Issue No. 2,2015.https://EconPapers.repec.org/RePEc:aes:dbjour:v:6:y:2015:i:23:p:48-55
3. Kyrkos, E. ‘Business intelligence and data mining’ [eBook] Athens: Hellenic Academic Libraries Link. Chapter 4. Available Online at: http://hdl.handle.net/11419/1231,2015
4. Lu Dai ‘A machine learning approach for optimization in railway planning, PhD Delft University of Technology, 2018
5. Petri, M., Pratelli, A., & Fusco, G. ‘Data Mining and Big Freight Transport Database Analysis and Forecasting Capabilities’. Transactions on Maritimes Science, 2016. https://doi.org/10.7225/toms.v05.n02.001
6. Wagenaar, J.C., Kroon, L.G., Schmidt, M. ‘Maintenance Appointments in Railway Rolling Stock Rescheduling’. Transportation Science, vol. 51 Issue 4 pp. 1138-1160., 2017. https://doi.org/10.1287/trsc.2016.0701
7. Ronanki, S. A. Singh and S. S. Williamson, ‘Comprehensive Topological Overview of Rolling Stock Architectures and Recent Trends in Electric Railway Traction Systems,’ in IEEE Transactions on Transportation Electrification, vol. 3, no. 3, pp. 724-738, 2017. https://doi.org/ 10.1109/TTE.2017.2765518
8. Edwin Bosshca, ‘Big Data in railway operation: using artificial neural networks to predict train delay propagation’, University of Twente, PhD Thesis, 2016
9. Öztürk, Güner G., Tümer E. ‘The Root Causes of a Train Accident: Lac-Mégantic Rail Disaster’ Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018).  Advances in Intelligent Systems and Computing, vol 823. Published by Springer, 2018. https://doi.org/1007/978-3-319-96074-6_21
10. Heidarysafa, K. Koesari, L. E. Barnes, Brown ‘Analysis of Railway Accidents-Narratives using Deep Learning’  IEEE International Conference on Machine Learning and Application., 2018. https://doi.org/. 10.1109/ICMLA.2018.00235
11. JudithHurwitz, Daniel Kirsch ”Machine learning” IBM Limited Edition, Published by John Wiley & Sons, Inc., 2018.
12. Devi, G.R. Karpagam, B. Vinoth Kumar, ‘A survey of machine learning techniques, Int. J. of Computational Systems Engineering Vol. 3,Issue No.4 pp. 203 – 212,2017. https://doi.org/10.1504/IJCSYSE.2017.089191
13. Ravindra Changala, D.Rajeswara Rao, T Janardhana[ Rao, P Kiran Kumar, Kareemunnisa  ‘Knowledge Discovery Process: The Next Step for Knowledge Search’ International Journal of Innovative Research in Computer and Communication Engineering Vol. 3, Issue 5, 2015. https://doi.org/10.15680/ijircce.2015.0305127
14. Subhashini Sailesh Bhaskaran ‘An Investigation into the Knowledge Discovery and Data Mining (KDDM) process to generate course taking pattern characterized by contextual factors of students in Higher Education Institution (HEI) , PhD Thesis, Brunel University, London,2017
15. Song, Yan-Yan, and Ying Lu. “Decision tree methods: applications for classification and prediction.” Shanghai archives of psychiatry vol. 27, Issue 2, 2015. https://doi.org/ 11919/j.issn.1002-0829.215044
16. Ibomoiye Domor Mienyea, Yanxia Suna, Zenghui Wang ‘Prediction performance of improved decision tree-based algorithms: a review’ 2nd International Conference on Sustainable Materials Processing and Manufacturing, Published by Elsevier B.V.,2019. https://doi.org/ 1016/j.promfg.2019.06.011
17. Batra M., Agrawal R. ‘Comparative Analysis of Decision Tree Algorithms. In: Panigrahi B., Hoda M., Sharma V., Goel S. (Eds) Nature Inspired Computing. Advances in Intelligent Systems and Computing, vol 652. Springer, Singapore,2018. https://doi.org/10.1007/978-981-10-6747-1_4
18. S B Begenova, T V Avdeenko, ‘Building of fuzzy decision trees using ID3 algorithm’: Journal of Physics: International Conference Information Technologies in Business and Industry, 2018. https://doi.org/ 10.1088/1742-6596/1015/2/022002
19. Anis Cherfi, Kaouther Nouira & Ahmed Ferchichi ‘ Very Fast C4.5 Decision Tree Algorithm’, Applied Artificial Intelligence, Vol. 32, Issue 2, 2018. https://doi.org/10.1080/08839514.2018.1447479
20. Eshwari Girish Kulkarni and Raj B Kulkarni. Article: Weka Powerful Tool in Data Mining. IJCA Proceedings on National Seminar on Recent Trends in Data RTDM volume 2 pp.10-15, 2016.
21. S Akinola, O. Oyabugbe, ‘Accuracies and Training Times of Data Mining Classification Algorithms: An Empirical Comparative Study’. Journal of Software Engineering and Applications, 8, 470-477, 2015. https://doi.org/ 4236/jsea.2015.89045
22. Felipe Bravo Márquez ‘Acquiring and Exploiting Lexical Knowledge for Twitter Sentiment Analysis’, University of Waikato, PhD Thesis, 2017
23. Škegro, Frane and Zoroja, Jovana and Šimičević, Vanja, Credit Scoring Analysis: Case Study of Using Weka (September 7, 2017). 2017 ENTRENOVA Conference Proceedings, Available at SSRN: https://ssrn.com/abstract=3282504
24. Lee, Jonguk et al. “Fault Detection and Diagnosis of Railway Point Machines by Sound Analysis.” Sensors (Basel, Switzerland) vol. 16, Issue No 4, 549. 16,2016. https://doi.org/10.3390/s16040549
25. Faisal Mohammed Nafie Ali & Abdelmoneim Ali Mohamed Hamed ‘Usage Apriori and clustering algorithms in WEKA tools to mining dataset of traffic accidents’, Journal of Information and Telecommunication, vol 2 Issue No  3, pp 231-245, 2018. https://doi.org/10.1080/24751839.2018.1448205
26. Jiajia Li, Jie He*, Ziyang Liu, Hao Zhang , Chen Zhang MATEC Web of Conferences 272, 01035 ‘Traffic accident analysis based on C4.5 algorithm in WEKA’ School of Transportation, Southeast University, Nanjing 211189, Jiangsu,China,2019.  https://doi.org/10.1051/matecconf/201927201035
27. Tsaganos G, Papachristos D, Nikitakos D, Dalaklis D, A.I. Ölçer ‘Fault Detection and Diagnosis of Two-Stroke Low-Speed Marine Engine with Machine Learning Algorithms’ Conference: 3rd International Naval Architecture and Maritime SymposiumAt: Istanbul, Turkey,2018. https://www.researchgate.net/publication/324835430
28. J. Morales, A. Reyes, N. Caceres, L. Romero, F. G. Benitez ‘ Automatic Prediction of Maintenance Intervention Types in Roads using Machine Learning and Historical Records’ Transportation Research Record Journal of  the Transportation Research Board, Vol 2672, Issue 44, 2018. https://doi.org/10.1177/0361198118790624
29. Khaksar , A. Sheikholeslami , ‘Airline delay prediction by machine learning algorithms’ International Journal of Science and Technology, Volume 26, Issue ??  5, 2019. https://doi.org/ 10.24200/SCI.2017.20020
30. Ahlgrenn Fredrik, ‘Reducing ships’ fuel consumption and emissions by learning from data’ Linnaeus University, PhD Dissertation, 2018.
31. Barmpounakis N. Emmanouil ‘Investigating the decision-making process of drivers during overtaking by Powered Two Wheelers’ National Technical University of Athens ,Department of Transportation Planning & Engineering PhD Dissertation, 2017.
32. Asha Kiranmai, S., Jaya Laxmi, A. Data mining for classification of power quality problems using WEKA and the effect of attributes on classification accuracy. Prot Control Mod Power Syst 3, 29 2018. https://doi.org/10.1186/s41601-018-0103-3
33. J Shen, O Lederman, J Cao, F Berg, S Tang, A Pentland, ”Gina: Group gender identification using privacy-sensitive audio data”, IEEE International Conference on Data Mining (ICDM), 457-466 2018. https://doi.org/ 1109/ICDM.2018.00061

Citations by Dimensions

Citations by PlumX

Google Scholar

Crossref Citations

1. Mya Soe Soe Moe, Win Mar Oo, "Hybrid Feature Selection for Anomaly Detection in IoT Network Intrusion Detection Systems", Advances in Science, Technology and Engineering Systems Journal, vol. 11, no. 2, pp. 17–29, 2026. doi: 10.25046/aj110203
2. Vikas Thammanna Gowda, Landis Humphrey, Aiden Kadoch, YinBo Chen, Olivia Roberts, "Multi Attribute Stratified Sampling: An Automated Framework for Privacy-Preserving Healthcare Data Publishing with Multiple Sensitive Attributes", Advances in Science, Technology and Engineering Systems Journal, vol. 11, no. 1, pp. 51–68, 2026. doi: 10.25046/aj110106
3. David Degbor, Haiping Xu, Pratiksha Singh, Shannon Gibbs, Donghui Yan, "StradNet: Automated Structural Adaptation for Efficient Deep Neural Network Design", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 6, pp. 29–41, 2025. doi: 10.25046/aj100603
4. Glender Brás, Samara Leal, Breno Sousa, Gabriel Paes, Cleberson Junior, João Souza, Rafael Assis, Tamires Marques, Thiago Teles Calazans Silva, "Machine Learning Methods for University Student Performance Prediction in Basic Skills based on Psychometric Profile", Advances in Science, Technology and Engineering Systems Journal, vol. 10, no. 4, pp. 1–13, 2025. doi: 10.25046/aj100401
5. 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
6. 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
7. Ahmet Emin Ünal, Halit Boyar, Burcu Kuleli Pak, Vehbi Çağrı Güngör, "Utilizing 3D models for the Prediction of Work Man-Hour in Complex Industrial Products using Machine Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 6, pp. 01–11, 2024. doi: 10.25046/aj090601
8. Yangjun Chen, Bobin Chen, "On Mining Most Popular Packages", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 4, pp. 60–72, 2024. doi: 10.25046/aj090407
9. Haruki Murakami, Takuma Miwa, Kosuke Shima, Takanobu Otsuka, "Proposal and Implementation of Seawater Temperature Prediction Model using Transfer Learning Considering Water Depth Differences", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 4, pp. 01–06, 2024. doi: 10.25046/aj090401
10. Brandon Wetzel, Haiping Xu, "Deploying Trusted and Immutable Predictive Models on a Public Blockchain Network", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 3, pp. 72–83, 2024. doi: 10.25046/aj090307
11. Anirudh Mazumder, Kapil Panda, "Leveraging Machine Learning for a Comprehensive Assessment of PFAS Nephrotoxicity", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 3, pp. 62–71, 2024. doi: 10.25046/aj090306
12. Taichi Ito, Ken’ichi Minamino, Shintaro Umeki, "Visualization of the Effect of Additional Fertilization on Paddy Rice by Time-Series Analysis of Vegetation Indices using UAV and Minimizing the Number of Monitoring Days for its Workload Reduction", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 3, pp. 29–40, 2024. doi: 10.25046/aj090303
13. Henry Toal, Michelle Wilber, Getu Hailu, Arghya Kusum Das, "Evaluation of Various Deep Learning Models for Short-Term Solar Forecasting in the Arctic using a Distributed Sensor Network", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 3, pp. 12–28, 2024. doi: 10.25046/aj090302
14. Tinofirei Museba, Koenraad Vanhoof, "An Adaptive Heterogeneous Ensemble Learning Model for Credit Card Fraud Detection", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 3, pp. 01–11, 2024. doi: 10.25046/aj090301
15. Gil Hyun Kang, Hwi Jin Kwon, In Soo Chung, Chul Su Kim, "Development and Usability Evaluation of Mobile Augmented Reality Contents for Railway Vehicle Maintenance Training: Air Compressor Case", Advances in Science, Technology and Engineering Systems Journal, vol. 9, no. 1, pp. 91–103, 2024. doi: 10.25046/aj090109
16. Toya Acharya, Annamalai Annamalai, Mohamed F Chouikha, "Optimizing the Performance of Network Anomaly Detection Using Bidirectional Long Short-Term Memory (Bi-LSTM) and Over-sampling for Imbalance Network Traffic Data", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 144–154, 2023. doi: 10.25046/aj080614
17. Renhe Chi, "Comparative Study of J48 Decision Tree and CART Algorithm for Liver Cancer Symptom Analysis Using Data from Carnegie Mellon University", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 57–64, 2023. doi: 10.25046/aj080607
18. Ng Kah Kit, Hafeez Ullah Amin, Kher Hui Ng, Jessica Price, Ahmad Rauf Subhani, "EEG Feature Extraction based on Fast Fourier Transform and Wavelet Analysis for Classification of Mental Stress Levels using Machine Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 6, pp. 46–56, 2023. doi: 10.25046/aj080606
19. Kitipoth Wasayangkool, Kanabadee Srisomboon, Chatree Mahatthanajatuphat, Wilaiporn Lee, "Accuracy Improvement-Based Wireless Sensor Estimation Technique with Machine Learning Algorithms for Volume Estimation on the Sealed Box", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 108–117, 2023. doi: 10.25046/aj080313
20. Chaiyaporn Khemapatapan, Thammanoon Thepsena, "Forecasting the Weather behind Pa Sak Jolasid Dam using Quantum Machine Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 3, pp. 54–62, 2023. doi: 10.25046/aj080307
21. Der-Jiun Pang, "Hybrid Machine Learning Model Performance in IT Project Cost and Duration Prediction", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 2, pp. 108–115, 2023. doi: 10.25046/aj080212
22. Paulo Gustavo Quinan, Issa Traoré, Isaac Woungang, Ujwal Reddy Gondhi, Chenyang Nie, "Hybrid Intrusion Detection Using the AEN Graph Model", Advances in Science, Technology and Engineering Systems Journal, vol. 8, no. 2, pp. 44–63, 2023. doi: 10.25046/aj080206
23. Ossama Embarak, "Multi-Layered Machine Learning Model For Mining Learners Academic Performance", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 850–861, 2021. doi: 10.25046/aj060194
24. Roy D Gregori Ayon, Md. Sanaullah Rabbi, Umme Habiba, Maoyejatun Hasana, "Bangla Speech Emotion Detection using Machine Learning Ensemble Methods", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 6, pp. 70–76, 2022. doi: 10.25046/aj070608
25. 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
26. Zhumakhan Nazir, Temirlan Zarymkanov, Jurn-Guy Park, "A Machine Learning Model Selection Considering Tradeoffs between Accuracy and Interpretability", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 4, pp. 72–78, 2022. doi: 10.25046/aj070410
27. Ayoub Benchabana, Mohamed-Khireddine Kholladi, Ramla Bensaci, Belal Khaldi, "A Supervised Building Detection Based on Shadow using Segmentation and Texture in High-Resolution Images", Advances in Science, Technology and Engineering Systems Journal, vol. 7, no. 3, pp. 166–173, 2022. doi: 10.25046/aj070319
28. 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
29. 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
30. Arwa Alghamdi, Graham Healy, Hoda Abdelhafez, "Machine Learning Algorithms for Real Time Blind Audio Source Separation with Natural Language Detection", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 125–140, 2021. doi: 10.25046/aj060515
31. Baida Ouafae, Louzar Oumaima, Ramdi Mariam, Lyhyaoui Abdelouahid, "Survey on Novelty Detection using Machine Learning Techniques", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 5, pp. 73–82, 2021. doi: 10.25046/aj060510
32. 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
33. Zhiyuan Chen, Howe Seng Goh, Kai Ling Sin, Kelly Lim, Nicole Ka Hei Chung, Xin Yu Liew, "Automated Agriculture Commodity Price Prediction System with Machine Learning Techniques", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 4, pp. 376–384, 2021. doi: 10.25046/aj060442
34. Banir Rimbawansyah Hasanuddin, Sani Muhammad Isa, "Business Intelligence Budget Implementation in Ministry of Finance (As Chief Operating Officer)", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 4, pp. 123–129, 2021. doi: 10.25046/aj060414
35. Hathairat Ketmaneechairat, Maleerat Maliyaem, Chalermpong Intarat, "Kamphaeng Saen Beef Cattle Identification Approach using Muzzle Print Image", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 4, pp. 110–122, 2021. doi: 10.25046/aj060413
36. Carla Blank, Matthew McBurney, Maria Morgan, Raed Seetan, "A Survey of Big Data Techniques for Extracting Information from Social Media Data", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 3, pp. 189–204, 2021. doi: 10.25046/aj060322
37. Md Mahmudul Hasan, Nafiul Hasan, Dil Afroz, Ferdaus Anam Jibon, Md. Arman Hossen, Md. Shahrier Parvage, Jakaria Sulaiman Aongkon, "Electroencephalogram Based Medical Biometrics using Machine Learning: Assessment of Different Color Stimuli", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 3, pp. 27–34, 2021. doi: 10.25046/aj060304
38. 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
39. Bakhtyar Ahmed Mohammed, Muzhir Shaban Al-Ani, "Follow-up and Diagnose COVID-19 Using Deep Learning Technique", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 971–976, 2021. doi: 10.25046/aj0602111
40. 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
41. Md Mahmudul Hasan, Nafiul Hasan, Mohammed Saud A Alsubaie, "Development of an EEG Controlled Wheelchair Using Color Stimuli: A Machine Learning Based Approach", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 754–762, 2021. doi: 10.25046/aj060287
42. Antoni Wibowo, Inten Yasmina, Antoni Wibowo, "Food Price Prediction Using Time Series Linear Ridge Regression with The Best Damping Factor", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 694–698, 2021. doi: 10.25046/aj060280
43. Javier E. Sánchez-Galán, Fatima Rangel Barranco, Jorge Serrano Reyes, Evelyn I. Quirós-McIntire, José Ulises Jiménez, José R. Fábrega, "Using Supervised Classification Methods for the Analysis of Multi-spectral Signatures of Rice Varieties in Panama", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 552–558, 2021. doi: 10.25046/aj060262
44. Phillip Blunt, Bertram Haskins, "A Model for the Application of Automatic Speech Recognition for Generating Lesson Summaries", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 526–540, 2021. doi: 10.25046/aj060260
45. Sebastianus Bara Primananda, Sani Muhamad Isa, "Forecasting Gold Price in Rupiah using Multivariate Analysis with LSTM and GRU Neural Networks", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 2, pp. 245–253, 2021. doi: 10.25046/aj060227
46. Byeongwoo Kim, Jongkyu Lee, "Fault Diagnosis and Noise Robustness Comparison of Rotating Machinery using CWT and CNN", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 1279–1285, 2021. doi: 10.25046/aj0601146
47. Md Mahmudul Hasan, Nafiul Hasan, Mohammed Saud A Alsubaie, Md Mostafizur Rahman Komol, "Diagnosis of Tobacco Addiction using Medical Signal: An EEG-based Time-Frequency Domain Analysis Using Machine Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 842–849, 2021. doi: 10.25046/aj060193
48. Reem Bayari, Ameur Bensefia, "Text Mining Techniques for Cyberbullying Detection: State of the Art", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 783–790, 2021. doi: 10.25046/aj060187
49. Inna Valieva, Iurii Voitenko, Mats Björkman, Johan Åkerberg, Mikael Ekström, "Multiple Machine Learning Algorithms Comparison for Modulation Type Classification Based on Instantaneous Values of the Time Domain Signal and Time Series Statistics Derived from Wavelet Transform", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 658–671, 2021. doi: 10.25046/aj060172
50. Carlos López-Bermeo, Mauricio González-Palacio, Lina Sepúlveda-Cano, Rubén Montoya-Ramírez, César Hidalgo-Montoya, "Comparison of Machine Learning Parametric and Non-Parametric Techniques for Determining Soil Moisture: Case Study at Las Palmas Andean Basin", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 636–650, 2021. doi: 10.25046/aj060170
51. Ndiatenda Ndou, Ritesh Ajoodha, Ashwini Jadhav, "A Case Study to Enhance Student Support Initiatives Through Forecasting Student Success in Higher-Education", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 230–241, 2021. doi: 10.25046/aj060126
52. Lonia Masangu, Ashwini Jadhav, Ritesh Ajoodha, "Predicting Student Academic Performance Using Data Mining Techniques", Advances in Science, Technology and Engineering Systems Journal, vol. 6, no. 1, pp. 153–163, 2021. doi: 10.25046/aj060117
53. Karamath Ateeq, Manas Ranjan Pradhan, Beenu Mago, "Elasticity Based Med-Cloud Recommendation System for Diabetic Prediction in Cloud Computing Environment", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1618–1633, 2020. doi: 10.25046/aj0506193
54. Sara Ftaimi, Tomader Mazri, "Handling Priority Data in Smart Transportation System by using Support Vector Machine Algorithm", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1422–1427, 2020. doi: 10.25046/aj0506172
55. Othmane Rahmaoui, Kamal Souali, Mohammed Ouzzif, "Towards a Documents Processing Tool using Traceability Information Retrieval and Content Recognition Through Machine Learning in a Big Data Context", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 1267–1277, 2020. doi: 10.25046/aj0506151
56. Puttakul Sakul-Ung, Amornvit Vatcharaphrueksadee, Pitiporn Ruchanawet, Kanin Kearpimy, Hathairat Ketmaneechairat, Maleerat Maliyaem, "Overmind: A Collaborative Decentralized Machine Learning Framework", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 280–289, 2020. doi: 10.25046/aj050634
57. Khalid Ait Hadi, Rafik Lasri, Abdellatif El Abderrahmani, "Inferring Topics within Social Networking Big Data, Towards an Alternative for Socio-Political Measurement", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 155–159, 2020. doi: 10.25046/aj050618
58. Pamela Zontone, Antonio Affanni, Riccardo Bernardini, Leonida Del Linz, Alessandro Piras, Roberto Rinaldo, "Supervised Learning Techniques for Stress Detection in Car Drivers", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 6, pp. 22–29, 2020. doi: 10.25046/aj050603
59. Wongpanya Nuankaew, Pratya Nuankaew, "Tolerance of Characteristics and Attributes in Developing Student’s Academic Achievements", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 1126–1136, 2020. doi: 10.25046/aj0505137
60. Kodai Kitagawa, Koji Matsumoto, Kensuke Iwanaga, Siti Anom Ahmad, Takayuki Nagasaki, Sota Nakano, Mitsumasa Hida, Shogo Okamatsu, Chikamune Wada, "Posture Recognition Method for Caregivers during Postural Change of a Patient on a Bed using Wearable Sensors", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 1093–1098, 2020. doi: 10.25046/aj0505133
61. Khalid A. AlAfandy, Hicham Omara, Mohamed Lazaar, Mohammed Al Achhab, "Using Classic Networks for Classifying Remote Sensing Images: Comparative Study", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 770–780, 2020. doi: 10.25046/aj050594
62. Khalid A. AlAfandy, Hicham, Mohamed Lazaar, Mohammed Al Achhab, "Investment of Classic Deep CNNs and SVM for Classifying Remote Sensing Images", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 652–659, 2020. doi: 10.25046/aj050580
63. Rajesh Kumar, Geetha S, "Malware Classification Using XGboost-Gradient Boosted Decision Tree", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 536–549, 2020. doi: 10.25046/aj050566
64. Nghia Duong-Trung, Nga Quynh Thi Tang, Xuan Son Ha, "Interpretation of Machine Learning Models for Medical Diagnosis", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 469–477, 2020. doi: 10.25046/aj050558
65. Chalinee Partanapat, Chuleerat Jaruskulchai, Chanankorn Jandaeng, "A Hybrid Mod", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 414–425, 2020. doi: 10.25046/aj050552
66. Khaldoon Fadhel Brethee, Ghalib Rzayyig Ibrahim, Rashaq Abdullah Mohammed, "Using Envelope Analysis and Compressive Sensing Method for Intelligent Fault Diagnosis of Ball Bearing", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 370–375, 2020. doi: 10.25046/aj050546
67. Ladislav Burita, Ales Novak, "ISR Data Processing in Military Operations", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 314–331, 2020. doi: 10.25046/aj050540
68. Oumaima Terrada, Soufiane Hamida, Bouchaib Cherradi, Abdelhadi Raihani, Omar Bouattane, "Supervised Machine Learning Based Medical Diagnosis Support System for Prediction of Patients with Heart Disease", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 269–277, 2020. doi: 10.25046/aj050533
69. Sathyabama Kaliyapillai, Saruladha Krishnamurthy, "Differential Evolution based Hyperparameters Tuned Deep Learning Models for Disease Diagnosis and Classification", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 253–261, 2020. doi: 10.25046/aj050531
70. Haytham Azmi, "FPGA Acceleration of Tree-based Learning Algorithms", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 237–244, 2020. doi: 10.25046/aj050529
71. Hicham Moujahid, Bouchaib Cherradi, Oussama El Gannour, Lhoussain Bahatti, Oumaima Terrada, Soufiane Hamida, "Convolutional Neural Network Based Classification of Patients with Pneumonia using X-ray Lung Images", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 5, pp. 167–175, 2020. doi: 10.25046/aj050522
72. Wongpanya Nuankaew, Kanakarn Phanniphong, Sittichai Bussaman, Direk Teeraputon, Pratya Nuankaew, "Mentoring Model in an Active Learning Culture for Undergraduate Projects", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 805–815, 2020. doi: 10.25046/aj050495
73. Young-Jin Park, Hui-Sup Cho, "A Method for Detecting Human Presence and Movement Using Impulse Radar", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 770–775, 2020. doi: 10.25046/aj050491
74. Pratya Nuankaew, "Clustering of Mindset towards Self-Regulated Learning of Undergraduate Students at the University of Phayao", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 676–685, 2020. doi: 10.25046/aj050481
75. Anouar Bachar, Noureddine El Makhfi, Omar EL Bannay, "Machine Learning for Network Intrusion Detection Based on SVM Binary Classification Model", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 638–644, 2020. doi: 10.25046/aj050476
76. Adonis Santos, Patricia Angela Abu, Carlos Oppus, Rosula Reyes, "Real-Time Traffic Sign Detection and Recognition System for Assistive Driving", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 600–611, 2020. doi: 10.25046/aj050471
77. Amar Choudhary, Deependra Pandey, Saurabh Bhardwaj, "Overview of Solar Radiation Estimation Techniques with Development of Solar Radiation Model Using Artificial Neural Network", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 589–593, 2020. doi: 10.25046/aj050469
78. Marco Bindi, Igor Aizenberg, Riccardo Belardi, Francesco Grasso, Antonio Luchetta, Stefano Manetti, Maria Cristina Piccirilli, "Neural Network-Based Fault Diagnosis of Joints in High Voltage Electrical Lines", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 488–498, 2020. doi: 10.25046/aj050458
79. Maroua Abdellaoui, Dounia Daghouj, Mohammed Fattah, Younes Balboul, Said Mazer, Moulhime El Bekkali, "Artificial Intelligence Approach for Target Classification: A State of the Art", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 445–456, 2020. doi: 10.25046/aj050453
80. Shahab Pasha, Jan Lundgren, Christian Ritz, Yuexian Zou, "Distributed Microphone Arrays, Emerging Speech and Audio Signal Processing Platforms: A Review", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 331–343, 2020. doi: 10.25046/aj050439
81. Yosaphat Catur Widiyono, Sani Muhamad Isa, "Utilization of Data Mining to Predict Non-Performing Loan", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 4, pp. 252–256, 2020. doi: 10.25046/aj050431
82. Hai Thanh Nguyen, Nhi Yen Kim Phan, Huong Hoang Luong, Trung Phuoc Le, Nghi Cong Tran, "Efficient Discretization Approaches for Machine Learning Techniques to Improve Disease Classification on Gut Microbiome Composition Data", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 547–556, 2020. doi: 10.25046/aj050368
83. Ruba Obiedat, "Risk Management: The Case of Intrusion Detection using Data Mining Techniques", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 529–535, 2020. doi: 10.25046/aj050365
84. Krina B. Gabani, Mayuri A. Mehta, Stephanie Noronha, "Racial Categorization Methods: A Survey", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 388–401, 2020. doi: 10.25046/aj050350
85. Dennis Luqman, Sani Muhamad Isa, "Machine Learning Model to Identify the Optimum Database Query Execution Platform on GPU Assisted Database", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 214–225, 2020. doi: 10.25046/aj050328
86. Md. Imdadul Hoque, Abul kalam Azad, Mohammad Abu Hurayra Tuhin, Zayed Us Salehin, "University Students Result Analysis and Prediction System by Decision Tree Algorithm", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 115–122, 2020. doi: 10.25046/aj050315
87. Gillala Rekha, Shaveta Malik, Amit Kumar Tyagi, Meghna Manoj Nair, "Intrusion Detection in Cyber Security: Role of Machine Learning and Data Mining in Cyber Security", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 3, pp. 72–81, 2020. doi: 10.25046/aj050310
88. Ahmed EL Orche, Mohamed Bahaj, "Approach to Combine an Ontology-Based on Payment System with Neural Network for Transaction Fraud Detection", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 2, pp. 551–560, 2020. doi: 10.25046/aj050269
89. Bokyoon Na, Geoffrey C Fox, "Object Classifications by Image Super-Resolution Preprocessing for Convolutional Neural Networks", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 2, pp. 476–483, 2020. doi: 10.25046/aj050261
90. Johannes Linden, Xutao Wang, Stefan Forsstrom, Tingting Zhang, "Productify News Article Classification Model with Sagemaker", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 2, pp. 13–18, 2020. doi: 10.25046/aj050202
91. Michael Wenceslaus Putong, Suharjito, "Classification Model of Contact Center Customers Emails Using Machine Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 5, no. 1, pp. 174–182, 2020. doi: 10.25046/aj050123
92. Rehan Ullah Khan, Ali Mustafa Qamar, Mohammed Hadwan, "Quranic Reciter Recognition: A Machine Learning Approach", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 6, pp. 173–176, 2019. doi: 10.25046/aj040621
93. Mehdi Guessous, Lahbib Zenkouar, "An ML-optimized dRRM Solution for IEEE 802.11 Enterprise Wlan Networks", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 6, pp. 19–31, 2019. doi: 10.25046/aj040603
94. Toshiyasu Kato, Yuki Terawaki, Yasushi Kodama, Teruhiko Unoki, Yasushi Kambayashi, "Estimating Academic results from Trainees’ Activities in Programming Exercises Using Four Types of Machine Learning", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 5, pp. 321–326, 2019. doi: 10.25046/aj040541
95. Ammar Al-Dallal, Amina Al-Moosa, "Prediction of Non-Communicable Diseases Using Class Comparison Data Mining", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 5, pp. 193–206, 2019. doi: 10.25046/aj040525
96. Fatima El Hammouchi, Lamia El Menzhi, Abdallah Saad, "DFIG Defects Diagnosis Method for Wind Energy Conversion Chain", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 5, pp. 174–185, 2019. doi: 10.25046/aj040523
97. Alvina Aulia, Yogi Udjaja, Irma Kartika Wairooy, Adithia Panji Hutama, Dinar Khansa Shabira, Sabilal Muhtadin, "Android Application to Detect Cat Disease Using an Expert System", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 5, pp. 158–162, 2019. doi: 10.25046/aj040521
98. Nindhia Hutagaol, Suharjito, "Predictive Modelling of Student Dropout Using Ensemble Classifier Method in Higher Education", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 4, pp. 206–211, 2019. doi: 10.25046/aj040425
99. Fernando Hernández, Roberto Vega, Freddy Tapia, Derlin Morocho, Walter Fuertes, "Early Detection of Alzheimer’s Using Digital Image Processing Through Iridology, An Alternative Method", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 3, pp. 126–137, 2019. doi: 10.25046/aj040317
100. Abba Suganda Girsang, Andi Setiadi Manalu, Ko-Wei Huang, "Feature Selection for Musical Genre Classification Using a Genetic Algorithm", Advances in Science, Technology and Engineering Systems Journal, vol. 4, no. 2, pp. 162–169, 2019. doi: 10.25046/aj040221