International Journal of Artificial Intelligence and Deep Learning (IJAIDL)

The aim of the International Journal of Artificial Intelligence and Deep Learning (IJAIDL) published by IAEME Publication is to serve as a premier platform for the dissemination of high-quality research and advancements in the fields of artificial intelligence and deep learning. Through rigorous peer-review processes, the journal seeks to publish innovative studies that contribute to the understanding, development, and application of AI and deep learning methodologies across various domains. By fostering collaboration and knowledge exchange among researchers worldwide, IJAIDL aims to facilitate the continual advancement and impact of artificial intelligence and deep learning technologies on a global scale. Scope IJAIDL encompasses a wide range of research, methodologies, and applications within the fields of artificial intelligence and deep learning. It welcomes original contributions that advance the theoretical foundations, algorithms, techniques, and practical implementations of AI and deep learning technologies. The journal encourages interdisciplinary approaches and novel perspectives to address challenges and explore opportunities in areas such as data analysis, machine learning, neural networks, cognitive computing, robotics, natural language processing, computer vision, and beyond. By providing a platform for scholarly exchange and collaboration, IJAIDL aims to foster innovation, promote excellence, and contribute to the ongoing advancement of artificial intelligence and deep learning research on a global scale.

International Journal of Artificial Intelligence and Deep Learning (IJAIDL) is :-

• International, Peer-Reviewed, Open Access, Refereed, Neural Networks, Speech Recognition, Predictive Analytics, Bioinformatics, Autonomous Vehicles, Quantum Computing Applications in AI, Semantic Web, Virtual Assistants, Cybersecurity, Human-Computer Interaction, Image Recognition , Online , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2311-3214, Established: 2024, Impact Factor: 2.00
• Provides Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE