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Recent Advances in Electrical & Electronic Engineering

ISSN: 2352-0973

Recent Advances in Electrical & Electronic Engineering publishes full-length/mini-reviews and research articles along with guest-edited thematic issues on electrical and electronic engineering and applications. The journal also covers research on fast emerging applications of electrical power supply, electrical systems, power transmission, electromagnetism, microelectronics, electronic components and materials, microwave technology, motor and generator control process, and technologies involved and related to electrical and electronic engineering. Articles related to the conduction of electricity through semiconducting and superconducting materials are also included. The journal is essential reading for all researchers in the field of electrical and electronic engineering science.

Special Issues With Active Call for Papers

Submission closes on: Jul 25, 2025
Recent Developments in Computer and Communication engineering methodologies: Innovations and Applications

The fields of computer science and communication technology are undergoing rapid advancements, leading to novel methodologies and applications that address contemporary challenges. This special issue aims to explore the recent developments in computer and communication engineering methodologies, focusing on innovative solutions, interdisciplinary approaches, and their practical implications in various domains of engineering and science. see more

Submission closes on: Mar 18, 2025
Parkinson's Disease Detection and Treatment using Machine Learning and Deep Learning Techniques

The proposed special issue aims to showcase the latest advancements in Parkinson's disease detection and treatment using machine learning and deep learning techniques. Parkinson's disease is a progressive neurological disorder that affects millions of people worldwide, and early detection and accurate diagnosis are crucial for effective treatment. Machine learning and deep learning algorithms have shown great promise in improving the accuracy and efficiency of Parkinson's disease diagnosis through the analysis of clinical and neuroimaging data.... see more

Submission closes on: Mar 01, 2025
Internet of Things (IoT)

The Internet of Things (IoT) has quickly turned into one of the main driving forces of the global economic development today. In 2022, the number of connected IoT devices reached 14.4 billion and some $202 billion were spent in the IoT area. The IoT scope encompasses a vast and growing range of applications, technologies, and implications across various sectors and aspects of daily life. IoT involves ubiquitous connected, uniquely identifiable things/objects/devices that possess the ability... see more

Submission closes on: Dec 31, 2024
Advances of Biometric Data Analysis to Boost Intelligent Applications

With the rapid development of artificial intelligence (AI) technology, more and more intelligent devices and applications are appearing in our daily lives, such as smart home, smart agriculture, health diagnosis, educational support, and environmental monitoring. Interaction with these devices or applications has become a pressing issue that can greatly improve the quality of experience (QoE) for users. Biometric data can be captured by sensors in smart devices or applications, which can enhance human-computer interaction (HCI)... see more

Submission closes on: Dec 31, 2024
Optimization Techniques in Renewable Energy Systems

Optimization Techniques in Renewable Energy Systems thematic issue covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance. This self-contained thematic issue will begin with an introduction to optimization, then will be covering a wide range of... see more

Submission closes on: Dec 30, 2024
Computational Intelligence theory and practices

Computational intelligence represents the extraordinary capacity of the human intellect to assert and understand in an environment of uncertainty and imprecision. Computational intelligence is new-age multidisciplinary branch of artificial intelligence which can reduce the human work. The main goal of computational intelligence is to develop intelligent systems to solve real-world problems that are too hard to model mathematically. see more

Submission closes on: Nov 23, 2024
Advances in Robotics and Intelligent Mechatronics for Smart Manufacturing

This special issue delves deep into the transformative landscape of modern manufacturing technology. This comprehensive guide navigates through the intricate realm of robotics and intelligent sensor technology, showcasing cutting-edge developments that are reshaping industries worldwide. The special issue explores a wide array of topics, ranging from robotic automation and sensor integration to sophisticated data analytics and the burgeoning field of human-robot collaboration. Readers will gain invaluable insights into the latest trends and advancements that are... see more

Submission closes on: Nov 18, 2024
Advancements in Brain Tumor Detection and Treatment using Machine Learning, Deep Learning, and Blockchain Technology

Brain tumors are among the most challenging diseases to diagnose and treat, requiring specialized expertise and advanced technology for accurate detection and effective treatment. In recent years, machine learning and deep learning algorithms have shown promise in improving the accuracy and efficiency of brain tumor detection through medical imaging analysis. Additionally, the integration of blockchain technology has the potential to enhance data security and integrity in managing patient information and treatment protocols. This proposal proposes... see more

Submission closes on: Nov 12, 2024
An Analysis of Health Data Using Graph Labeling with Tribonacci, Fibonacci, and Triangular Numbers

Graph labeling is a technique used in various fields to model and analyze complex systems. In this study, we propose an approach to analyze health data using graph labeling with Tribonacci, Fibonacci, and Triangular numbers. These sequences are well-known in mathematics for their intriguing properties and connections to natural phenomena. By incorporating these number sequences into graph labeling, we aim to uncover hidden patterns and relationships in health data that may be otherwise difficult to... see more