American Journal of Analytics and Artificial Intelligence (AJAAI)

The American Journal of Analytics and Artificial Intelligence (AJAAI) is a prestigious, peer-reviewed, open-access academic journal committed to advancing the frontiers of knowledge in analytics, artificial intelligence (AI), and computational intelligence. With the growing reliance on data-driven systems, intelligent algorithms, and automation, AJAAI serves as a pivotal platform for scholars, researchers, data scientists, and AI practitioners to present novel research, critical reviews, and innovative methodologies that contribute to solving complex problems across various domains. AJAAI aims to bridge the gap between academic research and real-world applications by fostering interdisciplinary collaboration and publishing content that is both theoretically rigorous and practically impactful. The journal welcomes research that explores new paradigms, frameworks, technologies, and models in AI and analytics—from foundational mathematical theories and algorithmic developments to real-time systems and large-scale industry applications. Our journal provides readers with high-quality, original research that pushes boundaries in machine learning, deep learning, computer vision, natural language processing, predictive analytics, robotics, ethical AI, and more. The rapid pace of innovation in the AI domain requires dynamic knowledge exchange, and AJAAI is designed to be the vehicle through which groundbreaking ideas are made accessible to the global scientific community. By promoting open-access publishing, AJAAI ensures that impactful research is freely available to researchers, institutions, policymakers, and industry professionals worldwide, thus accelerating innovation and enhancing technological advancement in the era of artificial intelligence.

American Journal of Analytics and Artificial Intelligence (AJAAI) is :-

• International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Machine Learning, Big Data Analytics, Deep Learning, Natural Language Processing (NLP), Computer Vision, Real-Time Data Systems, AI in Healthcare, Reinforcement Learning & Robotics , Online , Bi-Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 3067-283X, Established: 2023,
• Provides Crossref DOI

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