About the Journal

International Journal of Artificial Intelligence (ISCSITR-IJAI) is a peer-reviewed, scholarly journal that focuses on the publication of cutting-edge research in the field of artificial intelligence (AI). As a prominent platform for AI researchers, academics, and professionals, ISCSITR-IJAI aims to advance the understanding and application of AI technologies across a broad range of disciplines. The journal is known for its interdisciplinary approach, welcoming contributions that bridge the gap between theory and practice, as well as those that introduce novel methodologies or applications of AI in various domains.

Scope and Focus

The journal covers a wide range of topics related to artificial intelligence, including but not limited to:

  • Machine Learning and Deep Learning: Advancements in neural networks, reinforcement learning, supervised and unsupervised learning algorithms, and the development of intelligent systems.
  • Natural Language Processing (NLP): Research on language models, text generation, and applications in linguistics, machine translation, and conversational AI.
  • Computer Vision and Image Processing: Innovations in visual recognition, object detection, and multimodal fusion using AI.
  • Robotics and Autonomous Systems: AI applications in robotics, autonomous navigation, decision-making in real-time environments, and human-AI collaboration.
  • Ethical and Societal Impacts of AI: Discussions on the ethical challenges posed by AI technologies, including fairness, bias mitigation, transparency, and privacy concerns.
  • AI in Healthcare and Medicine: Research focused on the integration of AI in clinical decision support, medical diagnostics, personalized treatments, and healthcare systems.
  • AI in Data Science and Big Data: Contributions exploring AI-driven analytics, data mining, and predictive models applied to large datasets.

Submission and Review Process

ISCSITR-IJAI is committed to ensuring a rigorous peer-review process, with all submissions evaluated by a global network of experts in the field. The journal employs a double-blind review system, ensuring that both authors and reviewers remain anonymous throughout the process to maintain fairness and impartiality.

Audience and Impact

The journal targets a diverse readership, including AI researchers, data scientists, software engineers, industry practitioners, and policymakers who are interested in the latest developments in artificial intelligence. Its global reach and interdisciplinary focus have made it a key resource for professionals looking to stay at the forefront of AI research.

Special Issues and Conferences

In addition to regular issues, ISCSITR-IJAI often publishes special issues focused on emerging trends or breakthroughs in artificial intelligence. These special issues are typically curated by guest editors who are leading figures in their respective fields. The journal is also associated with conferences and symposiums on AI, providing a platform for researchers to present their findings and engage with the AI community.

Open Access and Indexing

ISCSITR-IJAI is committed to making research accessible to a global audience. The journal follows an open access model, ensuring that published articles are freely available to the public. This approach promotes the dissemination of knowledge and encourages collaboration across the AI research community. The journal is indexed in major academic databases, ensuring wide visibility and impact for published work.

By fostering the publication of high-quality research and engaging with the latest developments in AI, ISCSITR-IJAI plays a pivotal role in shaping the future of artificial intelligence research and its applications across various industries and disciplines.