Electronics & Telecommunication Engineering
Journals
- Recent Trends in Sensor Research & Technology 198 articles
- International Journal of Optical Innovations & Research 36 articles
- Journal of Microcontroller Engineering and Applications 185 articles
- International Journal of VLSI Circuit Design & Technology 37 articles
- Journal of Instrumentation Technology & Innovations 218 articles
- Journal of Microwave Engineering and Technologies 199 articles
- Trends in Opto-electro & Optical Communication 222 articles
- International Journal of Electronics Automation 44 articles
- Current Trends in Signal Processing 236 articles
- International Journal of Microwave Engineering and Technology 3 articles
- International Journal of Digital Communication and Analog Signals 3 articles
- International Journal of Radio Frequency Innovations 36 articles
- International Journal of Embedded Systems and Emerging Technologies 2 articles
- Journal of Microelectronics and Solid State Devices 183 articles
- International Journal of Solid State Innovations & Research 35 articles
- International Journal of Satellite Remote Sensing 37 articles
- Journal of Semiconductor Devices and Circuits 185 articles
- Journal of Telecommunication, Switching Systems and Networks 198 articles
- Recent Trends in Electronics Communication Systems 195 articles
- Journal of Electronic Design Technology 229 articles
Recently published
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Dual-Band Circularly Polarized Cylindrical Dielectric Resonator MIMO Antenna with Dual Orthogonal Feeding for 5G mm-Wave Applications
Abstract: A dual orthogonally fed cylindrical dielectric resonator antenna (CDRA) is proposed for millimeter-wave 5G applications. In the proposed design, a smaller cylindrical dielectric resonator is extracted from the primary resonator without degrading the antenna performance. The antenna is fabricated on a Rogers substrate with dimensions of 30 × 15 × 0.254 mm³ and a relative permittivity of 2.2. The primary CDRA has a radius of 3.8 mm and a height …
Published in Journal of Microwave Engineering and Technologies Read article
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Low-Noise and High-Efficiency Microwave Power Amplifiers: A Review of Advanced Circuit Techniques
Abstract: Microwave power amplifiers (PAs) are essential components of wireless transmitters, radar systems, satellite links, and microwave instrumentation. Their principal task is to deliver sufficient radio-frequency output power to a load while meeting requirements for efficiency, linearity, gain, bandwidth, stability, and spectral compliance. Modern communication waveforms, particularly OFDM and high-order modulation, exhibit high peak-to-average power ratios (PAPR), forcing conventional PAs to operate with substantial output back-off and often reducing average efficiency. …
Published in Journal of Electronic Design Technology Read article
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Microwave and Millimeter-Wave Propagation Models for 5G and 6G
Communication Systems: A Comprehensive Review
Abstract: The evolution of fifth-generation (5G) and emerging sixth-generation (6G) wireless systems is driving the use of wider bandwidths, large antenna arrays, directional transmission, higher carrier frequencies, and increasingly dynamic network topologies. These developments make accurate radio-propagation models essential for coverage prediction, link-budget design, beamforming, mobility management, interference analysis, and system-level evaluation. Conventional sub-6-GHz models cannot always represent the propagation behaviour encountered in millimeter-wave (mmWave), upper-mid-band, and sub-terahertz (sub-THz) scenarios, where …
Published in Journal of Microwave Engineering and Technologies Read article
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Flexible and Wearable RF Antennas for Healthcare and Body-Area Networks: A Comprehensive Review
Abstract: Flexible and wearable radio-frequency (RF) antennas are important enabling components for body-centric wireless systems because they provide the communication interface between physiological sensors, wearable nodes, personal gateways, and remote healthcare platforms. Unlike conventional antennas mounted on rigid circuit boards, wearable antennas must operate in close proximity to lossy, dispersive, heterogeneous biological tissues while tolerating bending, stretching, compression, perspiration, laundering, and repeated attachment. These coupled electromagnetic, mechanical, environmental, and human-factors requirements …
Published in Journal of Microwave Engineering and Technologies Read article
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EcoSense AI: An Intelligent IoT-Based Environmental Monitoring and Forecasting System
Abstract: Environmental degradation caused by air, water, and soil pollution poses a severe global threat to human health and ecosystem stability. Existing IoT- based monitoring systems classify only current pollution levels but lack predictive capability, geospatial context, and tamper-proof data integrity. This paper presents EcoSense AI—a unified low-cost intelligent environmental monitoring system built on an ESP32 microcontroller with MQ135, DHT11, turbidity, and GPS sensors. The system integrates a Random Forest classifier …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article
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TinyML-Based Real-Time Industrial Fault Detection Using Vibration Signals
Abstract: Industrial rotating machinery is commonly monitored through vibration measurements because changes in bearing condition can alter signal amplitude, impulsiveness, and spectral distribution. Cloud-centred analytics may introduce communication dependence, bandwidth demand, and response delay. Tiny Machine Learning (TinyML) offers a complementary approach by executing compact inference locally on resource-constrained edge hardware. This paper presents a reproducible, deployment-oriented workflow for vibration-based machine-state classification using statistical and spectral features with small classifiers suitable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article
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IoT-Based Smart Public Sanitation Monitoring System with Real-Time Air Quality Analysis
Abstract: Maintaining hygiene in public sanitation facilities remains a critical challenge in urban environments due to inefficient monitoring and delayed maintenance responses. This paper presents an IoT-enabled smart toilet monitoring system designed to assess and manage restroom cleanliness in real time using environmental sensing and automated decision-making. The proposed system integrates multiple gas sensors (MQ135, MQ8, MQ4) and temperature sensors with an Arduino Uno to continuously monitor air quality parameters such …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article
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Voice Controlled Chair
Abstract: This paper presents the design, development, and performance evaluation of a voice- controlled chair intended to assist elderly and physically challenged users. The primary objective is to enable hands-free mobility through voice commands such as forward, backward, left, right, and stop. A microcontroller-based control unit processes speech inputs and drives the chair using motor driver circuits. Experimental testing confirms accurate command recognition and smooth directional control under normal operating conditions. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 3, 2026 Read article
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Design and Simulation of an Optical Fiber Communication System Using MATLAB
Abstract: Optical fiber communication is widely used for high-capacity data transmission because of its large bandwidth, low attenuation, immunity to electromagnetic interference, and support for wavelength-division multiplexing. These properties make fiber a fundamental medium in access, enterprise, submarine, and backbone networks, where high data rates, low error probability, and reliable transmission over distances ranging from buildings and campuses to metropolitan and long-haul links are required. This paper presents a MATLAB-oriented design …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 3, 2026 Read article
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Real Time Ai Based Fault Detection in EV
Abstract: Electric vehicles (EVs) are rapidly increasing in usage, but motor faults can affect their performance and safety. This paper presents a real- time AI-based fault detection system using sensor data and embedded processing. The system utilizes an ESP32 microcontroller along with current, vibration, and temperature sensors to continuously monitor motor conditions. An intelligent algorithm analyzes real-time data to detect abnormalities such as overheating, overcurrent, and mechanical faults. When a fault …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 3, 2026 Read article
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Design and motion control of a differential drive wheel mechanism for a departmental information robot
Abstract: This research study aims to create the Departmental Information Robot which will assist people in finding their way through the academic space. The system operates through a differential drive locomotive system which uses two motorized wheels and a third wheel that functions as a castor wheel. The robot can move in all directions because it has forward and backward movement abilities and sideways motion and 360-degree rotation capabilities. The robot's …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 3, 2026 Read article
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Smart Home Automation Using IoT: Sensor Networks, Edge Control and AI-Assisted Energy Management
Abstract: The Internet of Things (IoT) has transformed home automation by enabling interconnected sensors, appliances, embedded controllers, gateways, and cloud services to operate as an integrated system. This paper presents a practical architecture for smart home automation using IoT, emphasizing electrical and electronic sensing, embedded control, wireless communication, edge-cloud coordination, and lightweight artificial intelligence. The proposed framework integrates temperature, motion, illumination, gas, door- status, and energy sensors with microcontrollers and gateway …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 3, 2026 Read article
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AI-Powered Cloud Storage Security: Intelligent Threat Detection, Adaptive Access Control and Resilient Data Protection
Abstract: Cloud storage has become a basic service for enterprises, educational institutions, digital platforms and electrical/electronic systems that continuously generate data. Its convenience, scalability and remote accessibility also increase exposure to credential theft, ransomware, accidental sharing, malicious insiders, misconfiguration and large-scale data leakage. Conventional security controls such as passwords, static access rules and signature-based detection remain necessary, but they often react after a known pattern has already appeared. This review presents …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 3, 2026 Read article
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Security Operations Centers (SOCs) must interpret large volumes of alerts, logs, endpoint events, identity signals, threat intelligence, and cloud activity while responding quickly to incidents. Conventional automation reduces repetitive work, but it often depends on fixed rules and separate tools that still require analysts to assemble context manually. This review presents a practical framework for AI (Artificial Intelligence) agent-based security copilots that combine large language models, machine learning, retrieval-augmented generation (RAG), security analytics, and controlled tools used to support SOC teams. The proposed design uses specialized agents for alert triage, investigation, threat intelligence, detection engineering, response planning, and reporting, coordinated by an orchestration layer. Agents can collect evidence, summarize events, map behaviors to attack techniques, suggest hypotheses, and prepare response actions, but high-impact changes remain subject to human approval. The framework also emphasizes trustworthy operation through evidence citation, least-privilege access, policy gates, audit logs, prompt-injection resistance, privacy controls, and continuous evaluation. Electrical and electronics relevance is included through monitoring of Internet of Things devices, industrial control systems, programmable logic controllers (PLC), edge gateways, sensors, firmware, and operational technology (OT) networks. Recent research and industry practice indicate that large language models and autonomous agents can improve security workflow automation, while important limitations remain around hallucination, data leakage, adversarial manipulation, excessive agency, and model drift. The paper therefore treats the security copilot as an analyst augmentation layer rather than an unsupervised replacement for professional judgment.
Abstract: Security Operations Centers (SOCs) must interpret large volumes of alerts, logs, endpoint events, identity signals, threat intelligence, and cloud activity while responding quickly to incidents. Conventional automation reduces repetitive work, but it often depends on fixed rules and separate tools that still require analysts to assemble context manually. This review presents a practical framework for AI (Artificial Intelligence) agent-based security copilots that combine large language models, machine learning, retrieval-augmented generation …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 3, 2026 Read article
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Framework for Edge AI and intelligent IoT with emphasis EEE integration, lightweight ML, communication, security, and deployment monitoring
Abstract: Edge Artificial Intelligence (Edge AI) brings machine learning inference and, in selected cases, learning close to the sensors and devices that generate data. When combined with the Internet of Things (IoT), it creates intelligent connected systems that can sense, interpret, decide, and act without depending continuously on a remote cloud. This review presents a practical framework for Edge AI and intelligent IoT with emphasis on electrical and electronics integration, lightweight …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 3, 2026 Read article
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Federated Intelligence for Privacy-Preserving Health Data Analytics
Abstract: Healthcare artificial intelligence is limited by a structural conflict: useful models benefit from diverse multi-institutional data, while clinical records cannot be freely pooled because of privacy, ownership and governance constraints. This study presents a practical federated-learning framework for privacy-preserving health data analytics and validates its basic learning behavior in a reproducible cross-silo simulation. Five non-identical institutional clients were created from the public Breast Cancer Wisconsin (Diagnostic) dataset, and a standardized …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 3, 2026 Read article
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Mathematical Modeling and Multi-Objective Optimization of RIS-Assisted 6G Wireless Communication Systems
Abstract: Reconfigurable Intelligent Surfaces (RIS) have become a potential technology for sixth generation (6G) wireless communication because they improve network coverage, spectrum efficiency, and energy efficiency while allowing programmable control of electromagnetic propagation. This study presents a comprehensive mathematical modeling and multi-objective optimization framework for RIS-assisted 6G wireless communication systems. The proposed model jointly considers the wireless channel, RIS reflection coefficients, transmit power, beamforming vectors, user association, achievable data rate, energy …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 2, 2026 Read article
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Real-Time Worker Tracking and Safety Monitoring in Underground Coal Mines Using a LoRa- Integrated Smart Wearable Jacket
Abstract: There is no doubt that underground coal mining is still one of the most dangerous jobs out of all mines. This is because there are many risks like toxic gases, extreme heat, no way to communicate effectively, etc. To make sure the miners remain safe while working in such areas, it is necessary to have a way to gather information live (monitoring) and a communication method (technology) which is both …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 2, 2026 Read article
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Nonlinear Mathematical Modelling of Next-Generation Wireless Communication Systems for Adaptive Network Optimization
Abstract: Next-generation wireless communication systems operate under highly dynamic conditions characterized by nonlinear channel behaviour, time-varying interference, heterogeneous traffic, mobility, fading, and rapidly changing resource requirements. Conventional linear network models are often inadequate for representing the coupled relationships among channel quality, transmit power, bandwidth allocation, interference, latency, and energy consumption. This study develops a nonlinear mathematical modelling framework for adaptive optimization of wireless communication networks. The proposed formulation represents the network …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 2, 2026 Read article
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AI-Assisted Design of a Compact UWB Antenna with Tunable Band-Notch Characteristics
Abstract: Ultra-wideband antennas require wide impedance bandwidth while maintaining stable radiation characteristics and suppressing interference from coexisting narrowband wireless services. Conventional optimization of UWB antenna geometries generally requires repeated full-wave electromagnetic simulations, making parameter exploration computationally expensive. This paper proposes an artificial-intelligence-assisted methodology for designing a compact UWB monopole antenna with a tunable band-notch characteristic. The proposed antenna uses a microstrip-fed planar monopole printed on an FR-4 substrate, while a tunable …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 2, 2026 Read article