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International Transactions on Electrical Engineering and Computer Science
ISSN 2583-6471 · International Institute of Quantum Science Research · 90 articles in the index
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Journal Article
A Comprehensive Review on Electric Vehicle Charging Infrastructure and Standards
The rapid evolution of global energy systems, driven by environmental concerns and the ongoing energy crisis, has significantly accelerated the transition toward sustainable technologies, particularly in the transportation sector. Electric vehicles (EVs) have emerged as a viable alternative to…
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Journal Article
Software-Defined Networking Approaches for Mitigating IEEE 802.11 Deauthentication and Management-Frame Attacks: A Systematic Literature Review
IEEE 802.11 wireless local area networks remain exposed to deauthentication and related management-frame attacks that interrupt service and can support rogue-access-point or interception attacks. Protected Management Frames, wireless intrusion detection systems, and wireless intrusion prevention…
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Journal Article
Development of Deep Learning Medical Imaging Model for Interpreting Pneumonia Diagnosis
Abstract: Pneumonia is still one of the key public health problems, particularly in resource-poor areas like Kisii County in Kenya, where poor diagnostic equipment hinders early diagnosis. In this project, the intention was to develop and evaluate an explainable deep learning approach for the…
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Journal Article
Energy-Aware PSO-Optimized Fuzzy Logic Control for Automated Guided Vehicles on Low-Power Edge Computing Platforms
Automated Guided Vehicles (AGVs) serve as the backbone of modern smart factory logistics, yet their operational efficiency is often limited by sub optimal energy management during navigation. Conventional heuristic based Fuzzy Logic Controllers (FLCs) frequently exhibit oscillatory responses…
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Journal Article
Modelling of a Modified Buck Converter
DC/DC converters are very important system components in electronic devices and are used in consumer electronics, communications, computing, traction, robotics and so on. The studied converter is a modified step-down converter which reduces the input voltage to a lower output voltage. The…
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Journal Article
Enhancing Image Security in IoT Environments Using a Modified Vigenère Cipher Algorithm
The Internet of Things (IoT) represents a technologically optimistic future where objects will be connected to the internet and make intelligent collaborations with other objects anywhere, anytime. The described technical architecture of the IoT has an impact on the security and privacy of the…
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Journal Article
AI Powered Threat Detection Framework for Security Enhancement of MQTT based IoT Networks
The Message Queuing Telemetry Transport (MQTT) protocol is widely adopted in IoT networks due to its lightweight and scalable design, making it ideal for resource-constrained devices. However, its minimal architecture lacks built-in encryption and robust identity authentication, leaving it…
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Journal Article
Simulation and Dynamic Analysis of BLDC Motor Speed Control in Four Quadrants across Diverse Operating Conditions
This article presents a comprehensive analysis and simulation of a Brushless DC (BLDC) motor drive system, emphasizing its performance in four-quadrant operations under various operating conditions. The proposed model leverages MATLAB/Simulink and integrates closed loop proportional integral (PI)…
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Journal Article
Design and Development of a Prototype Smart Wheelchair Control System for Enhanced Accessibility and Safety
The paper will explain how the smart wheelchair control system was constructed. The wheelchair control system addresses the limitations of existing systems and makes traveling easier and safer. The smart wheelchair control system allows an individual to operate the wheelchair via smartphone…
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Journal Article
Evaluation of Wind Power Potential in Lom and Djerem: The Case of the City of Bertoua in East Cameroon Region
The main sources of energy production in Cameroon remain hydropower and thermal power plants using fuel and gas. However, in recent years, it has been experiencing an imbalance that creates a mismatch between production and consumption. It is therefore of great importance to explore new sources of…
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Journal Article
Accuracy of Machine Learning Models for Anomaly Detection in Online Proctored Examinations: A Review of the Potential of Haar Cascades for Mobile Based Proctoring
The rapid shift toward digital learning in higher education has made online examinations an everyday reality, increasing the need for reliable and trustworthy anomaly detection systems powered by machine learning (ML). While recent advances in deep learning have improved the technical capabilities…
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Journal Article
LED Driver Topologies for Solid State Lighting: A Comprehensive Review of Conventional Converters Emerging GaN Based Designs and Smart Lighting Solutions
Light emitting diode (LED) technology has become ubiquitous in residential and industrial lighting. The performance of an LED system, including its efficiency, power factor, lifespan, and cost, is critically dependent on the driver's power converter topology. This paper provides a comprehensive…
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Journal Article
Efficient Inverter Configuration for Hybrid Electric Vehicles: A Three Phase Integrated Approach
Multilevel inverters (MLIs) have become essential in power electronics due to their capability to improve power quality, minimize harmonic distortion and enhance efficiency in medium and HV applications. It achieves a smoother waveform, reducing total harmonic distortion (THD). Hybrid electric…
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Journal Article
Artificial Intelligence Based Framework for DDoS Defense in Software Defined Networks
Software Defined Networking (SDN) offers a flexible and programmable alternative to traditional network architectures by decoupling the control and data planes and introducing a centralized controller and application layer. While this architecture enables dynamic traffic management, centralized…
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Journal Article
A Real time Integrated Framework for Seismic Activity Monitoring and Probabilistic Forecasting using Machine Learning and Geospatial Analytics: The EASO System
This paper presents a robust, automated computational framework for the real time monitoring and statistical analysis of seismic activity, focusing on the seismically active region of Epirus, Greece. To address the inherent latencies of traditional monitoring, this study introduces the Epirus…
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Journal Article
Analysis of the Effect of Website Quality on Customer Satisfaction Using the Webqual 4.0 Method Case Study: Villa Merah Picture Tutoring
This research aims to analyze the quality of the Villa Merah Picture Tutoring website on customer satisfaction using the Webqual 4.0 method. Using a quantitative approach, data was collected through a questionnaire distributed to users of the tutoring website. The Likert scale measures user…
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Journal Article
An Autonomous Smart Metering Infrastructure Based on UAV Swarm: Planning and Design
This research paper proposes a novel autonomous smart metering infrastructure based on a swarm of Unmanned Aerial Vehicles (UAVs), or drones. This infrastructure aims to overcome the limitations of traditional smart city applications by leveraging the flexibility, mobility, and scalability of UAV…
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Journal Article
Enhancing the Performance of Integrated Solar Wind and Battery System with Grid using Fuzzy Based MPPT
There is worldwide interest in renewable energy, including solar and wind power, driven by the depletion of fossil fuel and global warming. An alternative source for energy presents availability, cost, and efficiency; however, their integration into hybrid systems becomes challenging due to the…
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Journal Article
Ocean Wave Energy Converter
This research paper presents a comparative analysis of power extraction from an Oscillating Water Column (OWC) and a Point Absorber using mathematical modeling. Both systems are modeled under the same wave input conditions, with the OWC utilizing airflow dynamics to drive a turbine, and the Point…
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Journal Article
Anomaly Detection in Data Streams Using Machine Learning and Deep Learning
Data stream mining for movement has emerged as an important area of machine learning because of the huge amount of changing and continuous data coming from diverse sources such as social media, business sensors, and mobile communications. The goal of this anomaly identification in the data streams…