About the Journal

EXABYTE (EXploring Applied Research in Benchmarking, AnalYtics, and Emerging TEchnologies) is a peer-reviewed scholarly journal dedicated to publishing high-quality original research articles, review papers, and innovative technological developments in the fields of computing, information systems, data analytics, artificial intelligence, computer networks, and emerging digital technologies. The journal serves as an interdisciplinary platform for researchers, academics, practitioners, and industry professionals to disseminate novel findings, methodologies, and applications that contribute to the advancement of knowledge and technology.

EXABYTE welcomes contributions that address theoretical foundations, computational methods, analytical approaches, and practical implementations across a broad spectrum of information and communication technology disciplines. The journal emphasizes applied research that demonstrates scientific rigor, technological innovation, and real-world impact in addressing contemporary challenges and opportunities in the digital era.

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

  • Artificial Intelligence and Machine Learning
  • Data Science, Data Analytics, and Big Data
  • Information Systems and Decision Support Systems
  • Computer Networks and Network Security
  • Cybersecurity and Digital Forensics
  • Software Engineering and System Development
  • Intelligent Systems and Computational Intelligence
  • Internet of Things (IoT) and Smart Technologies
  • Cloud Computing and Distributed Systems
  • Human–Computer Interaction
  • Business Intelligence and Knowledge Management
  • Information Technology Applications
  • Computational Methods and Applied Analytics
  • Emerging Digital Technologies

Through a rigorous peer-review process and adherence to high ethical and scientific standards, EXABYTE aims to foster the dissemination of impactful research, encourage interdisciplinary collaboration, and support the continuous advancement of computing and information technologies in both academic and industrial contexts.