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Journal Photo for International Journal of Artificial Intelligence & Applications
Peer reviewed only Open Access

International Journal of Artificial Intelligence & Applications (IJAIAP)

Publisher : IAEME Publication
Cognitive Modeling of Intelligence Brain-inspired Intelligence Brain-machine Interface
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e-ISSN 4867-9994
Issue Frequency Monthly
Impact Factor 11.27
Est. Year 2020
Mobile 9884798314
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor@iaeme.com

Journal Descriptions

The International Journal of Artificial Intelligence & Applications (IJAIAP) is a distinguished peer-reviewed journal committed to disseminating original research contributions that advance the theory, methodologies, and practical applications of artificial intelligence (AI). The primary objective of IJAIA is to promote the development and utilization of artificial intelligence by fostering collaboration among scientists and experts in the field. The journal is dedicated to publishing research articles and comprehensive reviews covering a wide spectrum of scientific and application domains within AI. Artificial intelligence is a transformative discipline within science and technology, dedicated to creating intelligent systems that can simulate human capabilities, encompassing learning, perception, decision-making, behavior, and interaction. The widespread applications of AI technology span various sectors of society, including data analysis, big data analytics, security surveillance, management, education, healthcare, robotics, autonomous vehicles, and many more. IJAIAP recognizes the need to maintain the beneficial impact of AI on society and thus serves as a platform for research across multiple domains, ranging from economics and legal considerations to the technical aspects of AI. By encouraging interdisciplinary collaboration and knowledge exchange, the journal aims to push the boundaries of AI research and its practical applications.

International Journal of Artificial Intelligence & Applications (IJAIAP) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Cognitive Modeling of Intelligence, Brain-inspired Intelligence, Brain-machine Interface, Neural Networks, Pattern Recognition, Image and Video Analysis, Intelligent Robotics, Quantum Computing, Information Retrieval, Bioinformatics, Parallel Processing , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 4867-9994, Established: 2020, Impact Factor: 11.27
  • Does Not Provide Crossref DOI

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

Indexing

Publications of IJAIAP

AUTOMATING FRONT-END DEVELOPMENT WITH AI: FROM CODE GENERATION TO INTELLIGENT DEBUGGING
Nithish Nadukuda June, 2023
Manual coding and debugging have traditionally been part of front-end development, an integral part of web application development. However new developments in artificial intelligence (AI) h...
GENERATIVE AI AND LLM OPTIMIZING TECHNIQUES FOR DEVELOPING COST EFFECTIVE ENTERPRISE APPLICATIONS
Amreth Chandrasehar August, 2023
Generative AI usage has increased exponentially since start of the year and has created tremendous opportunities from startups to large enterprises. As more and more LLMs are released for re...
A STUDY OF PRACTICE AND APPLICATION IN DIGITAL PUBLIC ART IN THE CONTEXT OF METAVERSE
XIAOSHUO DENG April, 2023
Public art as a participatory art has become an important way of cultural shaping and urban marketing in cities, and the public is gradually becoming participants and shapers in urban public...
AI IN SUPPLY CHAIN AND LOGISTICS MANAGEMENT: INNOVATIONS, CHALLENGES, AND COLLABORATIVE OPPORTUNITIES
Rudrendu Kumar August, 2020
The purpose of this paper is to explore the role and impact of Artificial Intelligence (AI) in Supply Chain Management (SCM), delving into its historical context, transformative leadership, ...
WHAT SHOULD I WEAR – MACHINE LEARNING AND IMAGE PROCESSING APPROACH
Lakshmi Namratha
This project addresses the common challenge of choosing appropriate attire for various occasions by leveraging machine learning and image processing techniques. The aim is to develop occasio...