Journal of Machine Learning Innovations and Artificial Intelligence Horizons

The Journal of Machine Learning Innovations and Artificial Intelligence Horizons (JMLIAIH) is a distinguished, peer-reviewed journal published quarterly by Notation Publishing. This academic journal serves as a global platform for advancing knowledge and fostering innovation in the fields of machine learning and artificial intelligence. Each issue features high-quality, rigorously reviewed articles that contribute to both theoretical advancements and practical applications in these transformative domains.

Editor in Chief: Dr Sai Srinivas Vellela
Frequency: Bimonthly
Publisher: NOTATION TRENDPLUS PUBLISHING PVT. LTD.
Starting Year: 2026
Language: English
Publication Format: Online
Email editor@jmliaih.notationpublishing.com

Current Issue

Vol. 1 No. 1 (2026): June

Published: 2026-06-27

Articles

Comparative Analysis of Machine Learning and Deep Learning Models for Cardiovascular Disease Prediction: An Artificial Neural Network Approach

Venu Gopal Mutyala, Boyapati Bhagya Lakshmi (Author)

1-14
- PDF
Enhancing Clinical Decision Support Systems with Explainable Machine Learning: An Interpretable Framework for Predictive

Yamini Sahu, Ranjeeta Kothari, Pooja Markam (Author)

15-35
- PDF
Hybrid CNN-LSTM Deep Learning Framework for Robust Real-Time Human Activity Recognition in Wearable Healthcare Monitoring Systems

Dr. Dakeshwar Kumar Verma, Gokul Ram Nishad (Author)

36-57
- PDF
Optimizing Crop Disease Detection: A Comparative Analysis of Transfer Learning Architectures for Precision Agriculture

Girija Shankar Sao, Rakesh Kumar Chanap, Devesh Kumar (Author)

58-74
- PDF
Comparative Analysis of Transformer Architectures for Abstractive Text Summarization: Achieving Superior Performance with PEGASUS

Dr. Ghamendra Kumar Sahu (Author)

75-88
- PDF
AI-Assisted Multiclass Brain Tumor Classification from MRI Scans Using EfficientNetB0

Rajoo (Author)

89-109
- PDF
Transformer-Based Deep Learning Framework for Multiclass Social Media Sentiment Analysis: A Comparative Study of BERT, RoBERTa, DistilBERT, and XLNet Architectures

Dr. Thalakola , Syamsundara Rao (Author)

110-133
- PDF
Hierarchical Differentiable Clustering for Block-Sparse Cross-Attention in Multi-Modal Satellite Data Fusion

Manpreet Kaur Bhatia (Author)

134-154
- PDF
An Ensemble Voting Classifier Framework for High-Accuracy Intrusion Detection in Dynamic Network Environments

Amitava Biswas (Author)

155-173
- PDF
A Systematic Literature Review of Deep Learning Models for Medical Image Analysis

Govinda Sahu (Author)

174-229
- PDF
Deep Reinforcement Learning for Autonomous Systems and Robotics: A Systematic Literature Review

Surinder Kumar (Author)

230-301
- PDF

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Journal of Machine Learning Innovations and Artificial Intelligence Horizons

Current Issue

Articles

Comparative Analysis of Machine Learning and Deep Learning Models for Cardiovascular Disease Prediction: An Artificial Neural Network Approach

Enhancing Clinical Decision Support Systems with Explainable Machine Learning: An Interpretable Framework for Predictive

Hybrid CNN-LSTM Deep Learning Framework for Robust Real-Time Human Activity Recognition in Wearable Healthcare Monitoring Systems

Optimizing Crop Disease Detection: A Comparative Analysis of Transfer Learning Architectures for Precision Agriculture

Comparative Analysis of Transformer Architectures for Abstractive Text Summarization: Achieving Superior Performance with PEGASUS

AI-Assisted Multiclass Brain Tumor Classification from MRI Scans Using EfficientNetB0

Transformer-Based Deep Learning Framework for Multiclass Social Media Sentiment Analysis: A Comparative Study of BERT, RoBERTa, DistilBERT, and XLNet Architectures

Hierarchical Differentiable Clustering for Block-Sparse Cross-Attention in Multi-Modal Satellite Data Fusion

An Ensemble Voting Classifier Framework for High-Accuracy Intrusion Detection in Dynamic Network Environments

A Systematic Literature Review of Deep Learning Models for Medical Image Analysis

Deep Reinforcement Learning for Autonomous Systems and Robotics: A Systematic Literature Review

SA

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