Journal of Information Technology, AI & Data Science

Journal of Information Technology, AI & Data Science

Journal of Information Technology, AI & Data Science (JIAD) is a multidisciplinary peer-reviewed, open access online journal that publishes high quality original Research articles, Reviews, short communications, Case Reports, Editorials and opinion, etc. from the following subjects.

Computer Science

Mathematical, physical, statistical and computational aspects of computer vision image formation, processing, analysis, and interpretation

Information Technology

Information, knowledge engineering and intelligent systems

Data Science

  • Data science theory, methodologies and techniques
  • Data engineering aspects of computer science
  • Data management
  • Database processing
  • Data management methodologies
  • Database design and modeling
  • Distributed database control
  • Query, design, and implementation languages
  • Data communications
  • Data-driven optimization

Artificial Intelligence

  • Real-World Issues such as Computational Demands
  • New development and implementation of knowledge-based intelligence models, methods, systems, and software tools, with its applications in business, government, education, engineering and healthcare.
  • Cognitive interaction and brain computer interface
  • Computational Intelligence systems
  • Intelligent decision support systems, prediction systems and warning systems
  • Knowledge based computer vision techniques
  • Pattern Analysis and Machine Intelligence

Machine Learning

Machine learning theory, methodology and algorithms

Cloud Computing

Neural Networks and Learning Systems

  • Distributed and Wireless Sensor Networks
  • Multi-Sensor and Distributed Sensor System Design
  • Network Security
  • Information Security

Robotics

  • Big data
  • Big data analytics, big data visualization, big data curation and management, big data semantics, big data infrastructure, big data standards, big data performance analyses, intelligence from big data, scientific discovery from big data security, privacy and ethical issues specific to big data.

Prompt Engineering

Chat GPT

JIAD is supported by an international editorial board consisting of a distinguished team and aims at rapid publication of high quality results while maintaining rigorous peer-review process.

You are welcome to submit your work to submissions@researchopenworld.com

Open Access Policy: This journal is an open access journal which provides immediate, worldwide, boundary free access to the full content of every distributed article without charging readers or their institutions for access. Readers are given authorization to read, circulate, copy, print, download, search, or link to the full texts of all articles in JIAD

Editorial Board

Currently we are forming the editorial board

Published Articles

Mind Genomics and Today’s Realpolitik: The Conflict About Teaching Young Students Ideas that Could Be Propaganda

Howard Moskowitz, Stephen Rappaport, Arthur Kover and Taylor Mulvey

Research Article – Inf Technol Artif Intell Data Sci

DOI: 10.31038/JIAD.2024121

External Databases & Indexes

Content Not Available

Submit Manuscript

Please submit your manuscript to submissions@researchopenworld.com