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Keyword: FFEfficient Pattern Recognition Resource Utilization Neural Network
Neural Networks derives intelligent systems and modern autonomous applications. With the complexity introduced in today’s systems, designing architectures remains open research problem in all fields. Despite many efforts to generalize, the resources required by neural architectures remain challenge. Robots design, Smart cities, IoTs …etc. become the leading industry and driving the fourth industrial revolutions. All…
Read MoreComputationally Efficient Explainable AI Framework for Skin Cancer Detection
Skin cancer stands among some of the fastest growing and fatal malignancies of the world as a result early and accurate diagnosis of skin cancer is essential in order to enhance patient survival and treatment prognosis. Conventional methods of diagnosis including dermoscopy and histopathological examinations are expensive and time consuming also subject to inter-observer error.…
Read MoreFederated Learning with Differential Privacy and Blockchain for Security and Privacy in IoMT A Theoretical Comparison and Review
The growing integration of the Internet of Medical Things (IoMT) into healthcare has amplified the need for secure and privacy-preserving artificial intelligence. Federated Learning (FL) has emerged as a pivotal paradigm for decentralized medical data processing; however, it still faces challenges concerning data confidentiality, trust management, and scalability. This review presents an extended theoretical comparison…
Read MoreStradNet: Automated Structural Adaptation for Efficient Deep Neural Network Design
Deep neural networks (DNNs) have demonstrated remarkable success across a wide range of machine learning tasks. However, determining an effective network architecture, particularly the sizes of the hidden layers, remains a significant challenge and often relies on inefficient trial-and-error experimentation. In this paper, we propose an automated architecture design approach based on structurally adaptive DNNs,…
Read MoreCIRB-Edge for Secure, Energy-Efficient, and Real-Time Edge Computing
In this work, we present CIRB-Edge, a novel integer compression method designed specifically to overcome the limitations of traditional techniques such as Huffman coding, Delta encoding, and dictionary-based algorithms. These legacy methods often fall short in meeting the stringent requirements of secure, energy-efficient, and real-time edge computing due to their high computational overhead, memory demands,…
Read MoreComplete System and Interactions of MMF Harmonics in a Squirrel Cage Induction Motor; Differential Leakage; Analytic Calculation
The importance of MMF space harmonics in squirrel-cage induction motors has been recognized in the literature since the beginning. Their details have been analyzed over the years, but only partly systematized. In this article, however, not only the origin and the entire system of that harmonics are described, but also their interaction causing the asynchronous…
Read MorePredictive Analytics in Marketing: Evaluating its Effectiveness in Driving Customer Engagement
Understanding and responding to customer feedback is critical for business success. Customer response data offers valuable insights into preferences, behaviours, and sentiment. By analysing this data, businesses can optimize strategies, enhance customer experiences, and drive growth. Many analysis have been conducted in this field, while the review covers a broad range of AI and ML…
Read MoreCharacteristics of Crystal Defects due to the Inverse Piezoelectric Effect in Aluminum Gallium Nitride / Gallium Nitride High Electron Mobility Transistors
Gallium nitride (GaN) is expected to be used as a material for power semiconductor devices. However, it is crucial to focus on the dielectric properties of GaN. In this study, we investigated the transient response of the drain current during high-frequency application after intentionally maintaining the current collapse in the AlGaN/GaN high electron mobility transistors.…
Read MoreAnalytical Study on the Effect of Rotor Slot Skewing on the Parasitic Torques of the Squirrel Cage Induction Machine
Skewing of the rotor slot of a squirrel-cage induction machine has been commonly used since the beginning. However, little guidance is given regarding the principle of the working effect of the method, but even in such rare cases, the explanation does not cover the true physical reality. Consequently no formula exists for calculation of the…
Read MoreEffectiveness of a voice analysis technique in the assessment of depression status of individuals from Ho Chi Minh City, Viet Nam: A cross-sectional study
The Mind Monitoring System (MIMOSYS) is a novel voice analysis technique for mental health assessment that has been validated in some languages; however, no research has been conducted on the Vietnamese yet. This study aimed to examine the ability of the Vitality score extracted from the MIMOSYS system to assess depression status based on the…
Read MoreProposal and Implementation of Seawater Temperature Prediction Model using Transfer Learning Considering Water Depth Differences
Aquaculture is one of the most important industries worldwide, and most marine products are produced by aquaculture. On the other hand, the aquaculture farmers are faced on the challenge of damage to marine products due to abnormal seawater temperatures. Research on seawater temperature prediction have been conducted, but many of them require a large amount…
Read MoreEfficient Deep Learning-Based Viewport Estimation for 360-Degree Video Streaming
While Virtual reality is becoming more popular, 360-degree video transmission over the Internet is challenging due to the video bandwidth. Viewport Adaptive Streaming (VAS) was proposed to reduce the network capacity demand of 360-degree video by transmitting lower quality video for the parts of the video that are not in the current viewport. Understanding how…
Read MoreVisualization 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
This research is an extension of the research (ISEEIE 2023), which dealt with Time-Series Clustering (TSC) of Vegetation Index (VI) for paddy rice. The novelty of this research is “Visualization of growth changes before and after additional fertilization,” “Analyzing the appropriate amount of additional fertilizer,” and “Optimization of monitoring period to minimize the number of…
Read MoreAnalysis of Components and Effects of Chest Compression Posture using CPR Training System
Cardiopulmonary resuscitation (hereafter CPR) is a life-saving procedure to combat our day-to-day risks of cardiac arrest. However, there are a few citizens who can accurately carry out CPR by encountering the scene of the cardiac arrest of others, and there are many unclear parts on the methods such as the correct attitude of CPR, and…
Read MoreComparing Kalman Filter and Diffuse Kalman Filter on a GPS Signal with Noise
The navigation control of an autonomous vehicle can be determined by the coordinates of a GPS (Global Positioning System) positioning system, angular velocity, and acceleration with an INS (Inertial Navigation System). However, the errors associated with these devices do not allow it to be the only measurement system used in an autonomous vehicle. The need…
Read MoreEnhancing the Network Anomaly Detection using CNN-Bidirectional LSTM Hybrid Model and Sampling Strategies for Imbalanced Network Traffic Data
The cybercriminal utilized the skills and freely available tools to breach the networks of internet-connected devices by exploiting confidentiality, integrity, and availability. Network anomaly detection is crucial for ensuring the security of information resources. Detecting abnormal network behavior poses challenges because of the extensive data, imbalanced attack class nature, and the abundance of features in…
Read MoreVerify of Left and Right Differences in Sleep Index using the Ring-type Sensor
In this study, two healthy women in their 40s wore Oura Rings on both fingers and verified left and right differences in sleep index. Bed time, sleep time, rem sleep, sleep score, and heart rate had small left and right differences in both subjects, and a high correlation of 0.8 or more was observed(subjectA:P<0.001,subjectB:P<0.01). Subject…
Read MoreOptimizing the Performance of Network Anomaly Detection Using Bidirectional Long Short-Term Memory (Bi-LSTM) and Over-sampling for Imbalance Network Traffic Data
Cybercriminal exploits integrity, confidentiality, and availability of information resources. Cyberattacks are typically invisible to the naked eye, even though they target a wide range of our digital assets, such as internet-connected smart devices, computers, and networking devices. Implementing network anomaly detection proves to be an effective method for identifying these malicious activities. The traditional anomaly…
Read MoreThe Effect of Introduction of Wind Energy System on the Energy Networks
The increase electricity production based on renewable energies sources responds to the requirements of sustainable development. In recent years, the investment in the wind energy sector has increased to satisfy green electricity generation and environment protection. Wind energy is currently the most competitive energy resource that is part of the world’s countries views on the…
Read MoreInvestigating the Impression Effects of a Teacher-Type Robot Equipped a Perplexion Estimation Method on College Students
In recent years, the adoption of ICT education has increased in educational settings. Research and development of educational support robots have garnered considerable interest as a promising approach to inspire and engage students. Conventional robots provide learning support through button operations by the learners. However, the frequent need for button operation to request support may…
Read MoreInvestigation of Swimming Behavior and Performance of the Soft Milli-Robots Embedded with Different Aspects of Magnetic Moments
Among the development of technology, a large number of medical devices have been implemented in various forms for therapy and treatment. Remote controllability, real-time response, small size, and non-toxicity of the devices are the critically requirement to be operated in the blind, unstructured and fluidic environments of biomedical regions. Untethered soft swimming milli-robots have been…
Read MorePhotoluminescence Properties of Eu(III) Complexes with Two Different Phosphine Oxide Structures and Their Potential uses in Micro-LEDs, Security, and Sensing Devices: A Review
In the field of micro-LED displays, there is strong demand for red phosphors with high photoluminescence intensity, high color purity, and small particle size. Here, we focus on Eu(III) complexes because they produce sharp photoluminescence spectra with high color purity and can be dissolved in polymer, enabling a reduction in particle size to the molecular…
Read MoreIndoor Positioning: Comparing Different Techniques and Dealing with a user Authentication use Case
Indoor positioning is a complex issue with many, heterogeneous application cases, each one presenting different requirements and environments. In such a complex ecosystem, an agile taxonomy is needed to be able to select a proper solution for a given scenario, as well as practical recommendations for the most used solutions. Besides providing these tools, we…
Read MoreA Model for Teaching Mathematics to Gifted Students Based on an Effective Combination of Various Approaches for their Preparation
Currently one of the urgent goals of mathematical education is the organization of effective work with gifted students. Based on the study of various approaches to teaching mathematically gifted students, many years of experience of teachers, students’ work, and an analysis of curricula and materials for schools with in-depth study of mathematics, an author’s model…
Read MoreAn Efficient Way of Hybridizing Edge Detectors Depending on Embedding Demand
Edge detection-based image steganography schemes usually embed data in edge pixels only. However, some schemes embed data in non-edge pixels as well. In that case, the schemes embed more bits in the edges than in the smoothed areas. In all cases, the schemes perform large changes in a tiny area of the image during small…
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