Journal of Electronic & Information Systems publishes original research papers that offer 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:
, Raihan Jamil, Md Injamul Haque, Niazi Mahrab, Sartaz Islam, Mohammad Abdullah Al Nayeem Khan, Nowreen Ahsan, Md Abdur Rakib 
347 (Abstract)
144 (Download)Abstract: Software Defect Prediction (SDP) is an issue of paramount importance for improvement of software quality but data isolation and privacy concerns across organizations affects efficacy of SDP. By making use of a Federated Learning (FL) framework in combination with Differential Privacy (DP) for collective learning without exchanging any raw data, we provide a unique solution to this problem. The study makes use of advanced deep learning... More
, Bhawna Singla 229 (Abstract)
108 (Download)Abstract: Cardiovascular diseases (CVDs) are among the leading causes of mortality worldwide. Early detection and risk stratification are critical for preventive care. Traditional machine learning (ML) models can predict heart disease risk but often lack interpretability and fail to integrate with real-time clinical data. Recent advances in fine-tuned large language models (Custom GPT) offer natural language explanations but are limited by insufficient... More
190 (Abstract)
86 (Download)Abstract: Wireless sensor networks (WSNs) play a vital role in modern applications such as environmental monitoring, industrial automation, and smart infrastructure, where reliable data transmission, robustness, and energy efficiency are essential. However, their distributed architecture and constrained computational resources make them highly vulnerable to a wide range of security threats, including Blackhole, Grayhole, Flooding, and Scheduling attacks.... More
, Jim Longstaff 145 (Abstract)
101 (Download)Abstract: Much of the commercial and research writings on healthcare Real-Time Location Systems (RTLS) have concentrated on the considerable benefits of this technology for locating assets, patients and staff, with many applications developed, particularly for asset tracking. Less has been written about who is authorised to query and analyse healthcare RTLS data, including historical location data. We categorise use cases for the interactions which have... More
, Fernando Koch 80 (Abstract)
55 (Download)Abstract: Determining whether scan-observable network configurations capture meaningful characteristics of security exposure across large-scale Internet of Things (IoT) populations remains an open problem in measurement research. This study analyzes Internet-exposed IoT endpoints associated with the TR-069 protocol across a global population exceeding 37 million hosts, using a structured sample of 7,634 hosts derived from approximately 10,000 hosts... More
