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International Journal of Artificial Intelligence & Machine Learning (IJAIML)

Publisher :

IAEME Publication

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Machine Learning Tools
  • Mechatronics
  • Natural Language Processing

    • +6

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 in - 2022, Impact Factor

Not Provide Crossref DOI

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

Indexing

Scopus Profile
Google Scholar

Publications of IJAIML

  • dott image mylib index
  • dott image April, 2025

INTERPRETABLE ARTIFICIAL INTELLIGENCE WITH EXPLAINABILITY AND ROBUSTNESS IN MEDICAL IMAGE CLASSIFICATION USING TOPOLOGICAL AND FRACTAL FEATURES

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...

  • dott image Research Scholar
  • dott image September, 2022

REAL-TIME ANOMALY DETECTION IN DISTRIBUTED SYSTEMS USING FEDERATED LEARNING TECHNIQUES

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...

  • dott image Research Scholar
  • dott image April, 2025

AI-DRIVEN EXPLAINABLE MACHINE LEARNING FOR ADVERSE DRUG REACTION PREDICTION USING GRAPH-BASED PHARMACOVIGILANCE SIGNALS

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...

  • dott image Research Scholar
  • dott image April, 2025

BEST PRACTICES FOR ETHICAL AND RESPONSIBLE AI DEVOPS

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...

  • dott image Research Scholar
  • dott image April, 2025

FROM COMPLEXITY TO CLARITY: ONE-STEP PREFERENCE OPTIMIZATION FOR HIGH-PERFORMANCE LLMS

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...

  • dott image March, 2025

NAVIGATING THE PRIVACY-PERSONALIZATION PARADOX: A COMPARATIVE ANALYSIS OF DATA-DRIVEN RECOMMENDATIONS IN FINANCE, E-COMMERCE, AND HEALTHCARE

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...

  • dott image May, 2022

AI AND MACHINE LEARNING IN SIEM: ENHANCING THREAT DETECTION AND RESPONSE WITH PREDICTIVE ANALYTICS

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...

  • dott image March, 2022

UTILIZING GENERATIVE AI FOR REAL-TIME DATA GOVERNANCE AND PRIVACY SOLUTIONS

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 ...

  • dott image April, 2023

REAL TIME SIGN LANGUAGE TRANSLATOR FOR VIDEO CONFERENCING PLATFORMS

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...

  • dott image June, 2023

MACHINE LEARNING IN SOFTWARE ENGINEERING: PRACTICAL APPLICATIONS AND IMPACT ON THE MODERN SOFTWARE INDUSTRY

As a fundamental component of artificial intelligence, Machine Learning (ML) has become deeply embedded within the software industry, transforming conventional methodologies and giving birth...

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