Journal of Electronic & Information Systems publishes original research papers that offers professional review and publication to freely disseminate research findings in areas of IT applications, Artificial Intelligence (AI), Circuits and Systems , information and control, Data Management and Processing, and Human–Computer Interaction etc. The Journal focuses on innovations of research methods at all stages and is committed to providing theoretical and practical experience for all those who are involved in these fields.

Journal of Electronic & Information Systems aims to discover innovative methods, theories and studies in its field by publishing original articles, case studies and comprehensive reviews.

The scope of the papers in this journal includes, but is not limited to:

  • Mobile applications for development
  • Diverse Communications options including optical, acoustic and radio
  • AI, Machine learningand Human–Computer Interaction
  • Systems Engineering (applied to data, information and intelligence challenges)
  • Analogue Integrated Circuits, Digital Integrated Circuits, Digital System Design
  • Distributed Circuits and Systems, Distributed Sensor Networks and Systems
  • VLSI Systems and Applications
  • Circuits and Systems for Communication and Computing
  • Complex Network Systems
  • Nondestructive Testing
  • Control System Analysis and Design
  • Information System Theory and Applications
  • Data Management and Interoperability, Data Processing
  • Spectral Analysis, Filtering, Pattern Recognition
  • Analogue and Digital Signal Processing
  • Image Processing, Optical and Ultrasonic Imaging

Vol. 6 , Iss. 1 (April 2024)

  • Article

    Sliding Mode-Based Distributed Trajectory Tracking Control of Four-body Train Systems

    Yueheng Ding, Xinggang Yan

    Article ID: 6077    DOI:
    476  (Abstract) 112  (Download)


    This paper considers the speed tracking of a four-body train system modelled mathematically based on Newton’s second law, which is described by a large-scale interconnected system with four subsystems. Uncertainties are included in the systems to represent the potential impacts on system performance caused by mechanical wear and external environmental changes. An adaptive sliding mode... More

  • Article

    Attribute-specific Cyberbullying Detection Using Artificial Intelligence

    Adeyinka Orelaja, Chidubem Ejiofor, Samuel Sarpong, Success Imakuh, Christian Bassey, Iheanyichukwu Opara, Josiah Nii Armah Tettey, Omolola Akinola

    Article ID: 6206    DOI:
    401  (Abstract) 146  (Download)


    Cyberbullying, a pervasive issue in the digital age, poses threats to individuals’ well-being across various attributes such as religion, age, ethnicity, and gender. This research employs artificial intelligence to detect cyberbullying instances in Twitter data, utilizing both traditional and deep learning models. The study repurposes the Sentiment140 dataset, originally intended for sentiment analysis, for the nuanced task of cyberbullying detection. Ethical considerations guide the dataset transformation process, ensuring responsible AI... More

  • Article

    Evaluating Maximum Diameters of Tumor Sub-regions for Survival Prediction in Glioblastoma Patients via Machine Learning, Considering Resection Status

    Reza Babaei, Armin Bonakdar, Nastaran Shakourifar, Madjid Soltani, Kaamran Raahemifar

    Article ID: 6174    DOI:
    175  (Abstract) 99  (Download)


    In recent decades, there have been significant advancements in medical diagnosis and treatment techniques. However, there is still much progress to be made in effectively managing a wide range of diseases, particularly cancer. Timely diagnosis of cancer remains a critical step towards successful treatment, as it significantly impacts patients’ chances of survival. Among... More

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