Global Journal of Artificial Intelligence and Machine Learning (GJAIML)

The aim of the Global Journal of Artificial Intelligence and Machine Learning (GJAIML) by IAEME Publication is to provide a prominent international platform for researchers worldwide, facilitating the exchange of cutting-edge research and innovative solutions in the fields of artificial intelligence (AI) and machine learning (ML). GJAIML aims to contribute scholarly insights to the ongoing discourse on the societal impact of AI, serving as a forum for research dedicated to social good. The journal is designed to meet the diverse needs of AI researchers in both academic and industrial research, acknowledging the critical role of AI, machine learning, and data science in advancing various industries such as healthcare, finance, transportation, and manufacturing. Scope The scope of GJAIML encompasses theoretical and empirical research, including the presentation of novel algorithms, methodologies, models, and frameworks addressing challenging problems in AI, ML, and data science. The journal covers a broad range of issues, from foundational tools and languages of AI to their philosophical implications. GJAIML prioritizes original research that introduces new methods, techniques, or applications in AI, ML, and data science. Additionally, it encourages interdisciplinary research, fostering collaborations with fields such as mathematics, electrical and electronics engineering, biomedical engineering, mechanical engineering, AI ethics, and psychology. The journal operates a double-blind peer-review process to ensure the impartiality and objectivity of the review process. Accepted categories of contributions include research articles, reviews, debates, short communications, and book reviews. With a commitment to the rapid dissemination of significant research results, GJAIML strives to connect and engage with the global AI community.

Global Journal of Artificial Intelligence and Machine Learning (GJAIML) is :-

• International, Peer-Reviewed, Open Access, Refereed, Deep Learning, Neural Networks, Natural Language Processing, Reinforcement Learning and Decision-Making, Big Data Analytics, Cloud Computing, Internet of Things (IoT), AI Applications in Healthcare, AI Applications in Finance, AI Applications in Marketing, Bayesian Inference, Statistical Modeling, Predictive Modeling , Online , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 1479-1521, Established: 2024, Impact Factor: 2.00
• Does Not Provide Crossref DOI

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