About the Journal

ISCSITR - International Journal of Scientific Research in Artificial Intelligence and Machine Learning (ISCSITR-IJSRAIML) is a peer-reviewed, open-access journal committed to advancing research and innovation in the fields of artificial intelligence (AI) and machine learning (ML). It provides a platform for researchers, academicians, and industry professionals to publish and share original research, case studies, and technical reports on various aspects of AI and ML.

Artificial intelligence and machine learning are rapidly transforming industries and redefining the way we solve complex problems. ISCSITR-IJSRAIML aims to support this transformation by encouraging research that explores new algorithms, architectures, models, and applications in AI and ML. The journal seeks to bridge the gap between theoretical advancements and real-world applications, promoting interdisciplinary research and fostering collaboration among researchers.

The journal covers a wide range of topics, including but not limited to deep learning, natural language processing (NLP), computer vision, reinforcement learning, generative models, and AI-based decision-making systems. It also explores the ethical, social, and practical implications of AI and ML technologies.

ISCSITR-IJSRAIML follows a rigorous double-blind peer-review process to ensure that all published work meets the highest standards of research quality and integrity. Our editorial board consists of experienced researchers and industry professionals who provide valuable insights and guidance throughout the review process.

By encouraging the exchange of ideas and promoting high-quality research, ISCSITR-IJSRAIML aims to contribute to the advancement of artificial intelligence and machine learning, driving innovation and improving technological solutions worldwide.

???? For more information or to submit your manuscript, contact us at: iscsitr@gmail.com