Focus and Scope
Journal Focus
Integrated Journal of Artificial Intelligence & Data Science (IJAIDS) is a peer-reviewed scientific journal dedicated to the advancement of research, innovation, and practical applications in Artificial Intelligence (AI), Data Science, and related computing technologies. The journal provides an academic platform for researchers, academics, and practitioners to disseminate original research findings, exchange scientific knowledge, and develop intelligent, data-driven solutions to address challenges across diverse sectors and disciplines.
IJAIDS welcomes theoretical, methodological, experimental, and applied contributions that demonstrate scientific originality, methodological rigor, and meaningful contributions to the development of intelligent systems and data-driven technologies.
Journal Scope
The scope of IJAIDS covers, but is not limited to, the following research areas:
- Machine Learning and Deep Learning
- Neural Networks and Reinforcement Learning
- Explainable Artificial Intelligence (XAI)
- Intelligent Systems and AI-based Optimization
- AI Ethics and Responsible Artificial Intelligence
- Data Mining and Knowledge Discovery
- Big Data Analytics and Data Engineering
- Pattern Recognition and Predictive Analytics
- Statistical Learning and Data Visualization
- Decision Support Systems and Business Intelligence
- Image Processing and Image Analysis
- Object Detection and Image Classification
- Facial Recognition and Biometrics
- Medical Imaging and Visual Computing
- Augmented Reality (AR) and Virtual Reality (VR)
- Natural Language Processing (NLP)
- Sentiment Analysis and Text Mining
- Machine Translation and Information Retrieval
- Speech Recognition and Speech Processing
- Chatbots and Conversational AI
- Internet of Things (IoT) and Industrial IoT (IIoT)
- Edge Computing and Edge AI
- Smart Cities and Smart Environments
- IoT Applications and Security
- Sensor Networks and Intelligent Monitoring Systems
- AI-based Cyber Threat Detection
- Information Security and Cryptography
- Secure Data Transmission and Privacy Protection
- Blockchain and Distributed Ledger Technologies
- Decentralized Systems and Trust Management
- Robotics and Autonomous Systems
- Intelligent Control and Industrial Automation
- Human-Robot Interaction (HRI)
- Swarm Intelligence and Multi-Agent Systems
- Computer Science Theory and Applications
- Computer Networks and Network Architecture
- Wireless Communications and Mobile Computing
- Network Intelligence and Performance Optimization
- Distributed Systems and Internet Technologies
- Cloud Computing and AI as a Service (AIaaS)
- High-Performance and Distributed Computing
- Quantum Computing and Emerging Computational Technologies
- Federated Learning and Privacy-Preserving AI
- Scalable and Cloud-Based Intelligent Systems
- AI Ethics, Regulation, and Governance
- Algorithmic Bias, Fairness, and Transparency
- Responsible and Trustworthy AI
- AI for Social Good and Humanitarian Applications
- AI Applications in Healthcare, Education, Industry, and Public Services
Types of Articles
IJAIDS publishes the following types of scholarly contributions:
Original research articles must present novel scientific contributions, a clearly defined research problem, rigorous methodology, valid experimental or analytical results, and a critical discussion in relation to relevant existing literature. The manuscript should demonstrate the scientific and practical significance of the proposed approach or findings.
Review articles should provide a comprehensive and critical examination of relevant literature, current research trends, emerging developments, and major challenges in the fields covered by IJAIDS. Reviews are expected to offer a clear analytical perspective, identify research gaps, and provide valuable insights and directions for future research.
Editorial and Peer Review Standards
All manuscripts submitted to IJAIDS must demonstrate relevance to the journal's focus and scope, originality, academic quality, and appropriate research methodology. Manuscripts are subject to an initial editorial assessment and, when considered suitable, undergo a double-blind peer-review process, in which the identities of authors and reviewers are concealed from one another throughout the review process.
The journal prioritizes manuscripts that provide meaningful scientific contributions, demonstrate methodological transparency, and offer relevant implications for research, technology development, and practical applications.
Through its broad interdisciplinary scope and commitment to rigorous scholarly standards, IJAIDS aims to contribute to the advancement of artificial intelligence, data science, and responsible intelligent technologies with meaningful impact on science, society, and industry.