COMPUTERS & ELECTRICAL ENGINEERING

Scope & Guideline

Exploring the Frontiers of Computer Science and Electrical Engineering.

Introduction

Welcome to the COMPUTERS & ELECTRICAL ENGINEERING information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of COMPUTERS & ELECTRICAL ENGINEERING, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0045-7906
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1973 to 1984, from 1986 to 2024
AbbreviationCOMPUT ELECTR ENG / Comput. Electr. Eng.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND

Aims and Scopes

The journal 'COMPUTERS & ELECTRICAL ENGINEERING' aims to disseminate high-quality research across various fields within computer science and electrical engineering. It focuses on both theoretical advancements and practical applications, showcasing innovative methodologies and interdisciplinary approaches.
  1. Artificial Intelligence and Machine Learning:
    The journal extensively publishes research on AI and ML applications, particularly in areas like image processing, natural language processing, and anomaly detection in various domains.
  2. Energy Systems and Renewable Energy:
    Research on optimization techniques, control strategies, and performance analysis of renewable energy systems, including photovoltaic systems, wind energy, and microgrid technologies is a key focus area.
  3. Cybersecurity and Network Security:
    Papers addressing intrusion detection systems, security protocols for IoT, and risk management frameworks in cyber-physical systems are prevalent, highlighting the journal's commitment to cybersecurity.
  4. Robotics and Automation:
    The journal includes studies on robotic systems, UAVs, and intelligent automation, emphasizing control strategies, path planning, and real-time applications.
  5. Smart Grid and Power Systems:
    Research related to smart grid technologies, including demand response, energy management systems, and power quality improvement techniques, is a significant aspect of the journal.
  6. Data Analysis and Big Data:
    The journal features studies on big data analytics, data mining techniques, and their applications in various fields, particularly in smart environments and healthcare.
  7. Internet of Things (IoT) Applications:
    The journal explores IoT applications in smart cities, agriculture, and healthcare, focusing on data management, security, and system integration.
  8. Computer Vision and Image Processing:
    Research on advanced image processing techniques, including object detection, image classification, and enhancement methods using deep learning approaches.
The journal has seen a rise in interest in several emerging fields, reflecting current technological advancements and societal needs. These trending topics highlight the innovative directions researchers are pursuing.
  1. Explainable AI and Trustworthy AI:
    There is an increasing focus on developing AI systems that are interpretable and trustworthy, addressing concerns about transparency and accountability in AI applications.
  2. Blockchain Technology and Applications:
    Research exploring the applications of blockchain in various sectors, including energy, healthcare, and IoT, has surged, demonstrating its potential for secure data management and decentralized solutions.
  3. Edge Computing and Fog Computing:
    Emerging studies on edge and fog computing address the need for processing data closer to the source, enhancing efficiency and reducing latency for IoT applications.
  4. Smart Health and Medical Technologies:
    The integration of AI and IoT in healthcare applications, including remote monitoring and disease prediction, is gaining traction, driven by the need for innovative healthcare solutions.
  5. Sustainable Energy Management:
    Research on energy-efficient systems, demand-side management, and the integration of renewable energy sources into existing infrastructures is increasingly relevant, reflecting global sustainability goals.
  6. Cyber-Physical Systems and IoT Security:
    With the proliferation of IoT devices, there is a growing emphasis on securing cyber-physical systems and developing methodologies to protect against emerging threats.
  7. Deep Learning and Neural Networks:
    The application of deep learning techniques in various fields, including image processing, natural language processing, and sensor data analysis, is a rapidly expanding area of research.
  8. Augmented and Virtual Reality Applications:
    Research exploring the applications of AR and VR in education, training, and healthcare is on the rise, reflecting the growing interest in immersive technologies.

Declining or Waning

While the journal covers a broad range of topics, certain areas have seen a decline in publication frequency or interest. These waning themes indicate a shift in research focus and potential areas that may require revitalization.
  1. Classical Control Systems:
    Traditional control systems are being overshadowed by advanced control techniques such as adaptive and intelligent control, leading to fewer publications in classical approaches.
  2. Basic Circuit Design:
    Research focusing on fundamental circuit design and analysis has seen a decline as the field shifts towards more complex, integrated systems and applications.
  3. Hardware Implementation Studies:
    There is a noticeable decrease in publications specifically dedicated to hardware implementation techniques, as the focus has shifted more towards software-centric solutions and simulations.
  4. Theoretical Computer Science:
    While foundational theories are important, there has been a decline in papers dedicated solely to theoretical aspects, with more emphasis on applied research and real-world applications.
  5. Low-Level Programming and Assembly Language:
    As high-level programming languages and frameworks gain popularity, there is a declining interest in research focusing on low-level programming and its applications.

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