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

International Journal of Artificial Intelligence & Machine Learning (IJAIML)

Publisher : IAEME Publication
Machine Learning Tools Mechatronics Natural Language Processing
e-ISSN 9339-1263
Issue Frequency Monthly
Est. Year 2022
Mobile 9884798314
Language English
APC YES
Impact Factor Assignee Google Scholar
Email editor@iaeme.com

Journal Descriptions

The International Journal of Artificial Intelligence & Machine Learning (IJAIML) is an international peer reviewed open access journal. It publishes top-level work from all areas of artificial intelligence and machine learning. It aims to provide an international forum for researchers, professionals, and industrial practitioners on all topics related to artificial intelligence and machine learning area. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications. The Journal intends to serve as a forum for scholars from around the globe engaged in cutting-edge research on current issues in artificial intelligence and machine learning. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence & applications.

International Journal of Artificial Intelligence & Machine Learning (IJAIML) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Machine Learning Tools, Mechatronics, Natural Language Processing, ARTIFICIAL INTELLIGENCE, Programming Languages, Robotics, Data Mining, Fuzzy Logic, Parallel Processing , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 9339-1263, Established: 2022,
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of IJAIML

Vidhya D June, 2025
Accurate and early diagnosis of brain tumors is essential for effective treatment planning and improving patient outcomes. This study presents a robust and efficient deep learning-based ense...
Uma Maheswara September, 2022
As businesses continue to digitize, managing documents efficiently has become more important than ever. This paper looks at how Intelligent Document Recognition (IDR), powered by AI and auto...
Amit Singh May, 2025
Convolutional Neural Networks (CNNs) have revolutionized computer vision by enabling automatic hierarchical feature learning from raw pixel data, leading to state-of-the-art performance in i...
Tirumala Ashish May, 2025
The rapid adoption of hybrid cloud environments has introduced new security challenges, necessitating advanced solutions for threat detection, incident response, and risk mitigation. Traditi...
Prabal Dhar May, 2025
Conventional policing struggles to stay ahead of escalating crime rates and criminals using increasingly advanced techniques. To improve crime detection and response, I propose a methodology...
Khurto Hajji April, 2025
Federated machine learning (FML) has revolutionized privacy-preserving healthcare by enabling collaborative model development without centralized access to sensitive patient data. Despite it...
Pritam Roy January, 2024
Artificial Intelligence (AI) is rapidly reshaping the fabric of society, influencing everything from healthcare and finance to entertainment and education. Its ability to process vast amount...
Mohan Kunkulagunta April, 2024
Companies are not fully using Artificial Intelligence (AI) or Machine Learning (ML), which is the most well-known form of AI. This is especially true in marketing, where it can be used for m...
Sreenivasulu Purini April, 2024
This paper explores the increasingly crucial roles of observability and artificial intelligence (AI) in the effective management of contemporary Information Technology (IT) environments. Wit...
Phani Sekhar May, 2024
In an era where hybrid cloud systems are increasingly becoming the backbone of enterprise IT infrastructures, the complexity and sophistication of cyber threats have escalated, posing signif...