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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
Claim Your Journal Get PRC Visit Website
e-ISSN 9339-1263
Issue Frequency Monthly
Est. Year 2022
Mobile 9884798314
Country India
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

INTERPRETABLE ARTIFICIAL INTELLIGENCE WITH EXPLAINABILITY AND ROBUSTNESS IN MEDICAL IMAGE CLASSIFICATION USING TOPOLOGICAL AND FRACTAL FEATURES
mylib index April, 2025
Deep learning models, particularly Convolutional Neural Networks (CNNs), have achieved remarkable accuracy in medical image analysis tasks like pneumonia detection from chest X-rays. However...
REAL-TIME ANOMALY DETECTION IN DISTRIBUTED SYSTEMS USING FEDERATED LEARNING TECHNIQUES
Research Scholar September, 2022
Anomaly detection in distributed systems is crucial for ensuring system reliability, fault tolerance, and security. Traditional centralized learning models often suffer from data privacy con...
AI-DRIVEN EXPLAINABLE MACHINE LEARNING FOR ADVERSE DRUG REACTION PREDICTION USING GRAPH-BASED PHARMACOVIGILANCE SIGNALS
Research Scholar April, 2025
Predicting adverse drug reactions (ADRs) with explainable AI using Graph Neural Networks (GNNs) is what this study offers. The model does a superior prediction performance by integrating het...
BEST PRACTICES FOR ETHICAL AND RESPONSIBLE AI DEVOPS
Research Scholar April, 2025
This research examines the integration of ethical considerations into AI DevOps practices. As AI systems proliferate in critical domains, traditional DevOps approaches require evolution to a...
FROM COMPLEXITY TO CLARITY: ONE-STEP PREFERENCE OPTIMIZATION FOR HIGH-PERFORMANCE LLMS
Research Scholar April, 2025
Large Language Models (LLMs) have transformed natural language processing, achieving state-of-the-art results in text generation, reasoning, and problem-solving. Despite these advances, alig...
NAVIGATING THE PRIVACY-PERSONALIZATION PARADOX: A COMPARATIVE ANALYSIS OF DATA-DRIVEN RECOMMENDATIONS IN FINANCE, E-COMMERCE, AND HEALTHCARE
Nivedita Kumari March, 2025
This literature review explores the complex interplay between personalization and privacy in the context of data-driven recommendations across three key sectors: finance, e-commerce, and hea...
AI AND MACHINE LEARNING IN SIEM: ENHANCING THREAT DETECTION AND RESPONSE WITH PREDICTIVE ANALYTICS
ShivaDutt Jangampeta May, 2022
In the modern digital world, many businesses are targets of cybercrime activities. Fortunately, organizations can stay ahead of cybercriminals and secure their sensitive, valuable data/netwo...
UTILIZING GENERATIVE AI FOR REAL-TIME DATA GOVERNANCE AND PRIVACY SOLUTIONS
Ankush Reddy March, 2022
The moral, ethical, and legal protections of artificial intelligence (AI) have come under scrutiny due to recent developments in the field. A more ethical approach to managing AI technology ...
REAL TIME SIGN LANGUAGE TRANSLATOR FOR VIDEO CONFERENCING PLATFORMS
Mullick Touhid April, 2023
Sign Language is the method of communication of deaf and dumb people all over the world. There are about 70 Million sign language users around the world. But only a few percent of people who...
MACHINE LEARNING IN SOFTWARE ENGINEERING: PRACTICAL APPLICATIONS AND IMPACT ON THE MODERN SOFTWARE INDUSTRY
Vamsi Krishna June, 2023
As a fundamental component of artificial intelligence, Machine Learning (ML) has become deeply embedded within the software industry, transforming conventional methodologies and giving birth...