About the Journal
The International Journal of Scientific Research in Artificial Intelligence and Machine Learning (IJSRAIML) is a peer-reviewed, open-access journal dedicated to advancing research in artificial intelligence (AI) and machine learning (ML). Published by the International Society for Computer Science and Information Technology Research (ISCSITR), the journal serves as a global platform for scholars, practitioners, and industry professionals to share innovative research and technological advancements in AI and ML.
Scope and Focus
IJSRAIML publishes original research articles, review papers, case studies, and technical reports in the fields of artificial intelligence and machine learning. The journal covers a broad range of topics, including but not limited to:
- Deep Learning and Neural Networks
- Natural Language Processing (NLP)
- Computer Vision and Image Processing
- Reinforcement Learning and Robotics
- AI in Healthcare, Finance, and Security
- Ethical AI and Responsible Machine Learning
- Big Data Analytics and AI-driven Decision Making
Submission and Review Process
Authors are invited to submit their manuscripts through the journal's online submission system. Each submission undergoes a rigorous double-blind peer review process to ensure the highest quality and integrity of published research. The editorial team evaluates submissions based on originality, relevance, clarity, and technical depth. Accepted papers are published online, making them readily available to the global research community.
For manuscript submissions and inquiries, contact:
❖ Email: editor@iscsitr.com / iscsitr@gmail.com
❖ Website: ISCSITR Journal Portal
Audience and Impact
The journal is intended for a wide range of audiences, including:
- Academic researchers and university faculty
- Data scientists and AI/ML engineers
- Industry professionals and innovators
- Policymakers and technology strategists
- Students and early-career researchers in AI and ML
IJSRAIML aims to bridge the gap between theoretical advancements and real-world AI applications, fostering interdisciplinary research and collaboration.
Open Access and Indexing
IJSRAIML is an open-access journal, ensuring free and unrestricted access to published research. By adopting an open-access model, the journal supports the widespread dissemination of knowledge, allowing researchers and practitioners worldwide to access, cite, and apply the latest AI and ML innovations.
The journal is actively working towards indexing in leading academic databases, ensuring maximum visibility and impact for its published research.
For further details, visit ISCSITR - IJSRAIML.
