Vol. 1 No. 3 (2026): July-December-Issue

Building upon the success of the previous issues, the third issue of the Interdisciplinary Journal of AI, Machine Learning & Data Science (IJAIMLDS) continues to showcase high-quality, peer-reviewed research in Artificial Intelligence, Machine Learning, Data Science, and interdisciplinary computing.

Published: 2026-07-01

Peer-reviewed Articles

An AI-Driven Digital Twin Framework for Personalized Drug Response Prediction and Virtual Treatment Simulation

Er.Chetanya Jain, Dr. Sumit Jain (Author)

e001

PDF

A Comprehensive Review of Artificial Intelligence Techniques for Black Pepper and Spice Identification Using Computer Vision and Deep Learning

Deep Kamle, Dr. Satyendra Sharma, Dr. Hemang Shrivastava (Author)

e002

PDF

Comparative Analysis of Transfer Learning-Based Deep Learning Models for Skin Cancer Classification Using the HAM10000 Dataset

Harshal Hingarh (Author)

e003

PDF

Machine Learning and Deep Learning-Based Intrusion Detection Systems: A Comprehensive Review of Datasets, Algorithms, Challenges, Explainability, and Future Research Directions

Sudhanshu Dhote, Dr. Deepak Agrawal (Author)

e004

PDF

Multi-Agent Systems for Anomaly Detection and Quality Control in Industrial Environments: A Comprehensive Review

Vedansh Vedansh (Author)

e005

PDF

ARIA: ADAPTIVE RADAR INTELLIGENCE ARCHITECTURE

Mr. Vaibhav Tayde, Dr. Hare Ram Sah (Author)

e006

PDF

A Comprehensive Review of Machine Learning and Deep Learning Approaches for Crop Yield Prediction

Pavan Sahu, Prof. O.P. Karada (Author)

e007

PDF

Machine Learning-Based Crop Yield Forecasting Using Environmental and Agricultural Parameters

Pavan Sahu, Prof. O.P. Karada (Author)

e008

PDF

STLC-Net: Skin Transfer Learning Classification Framework for Multi-Class Skin Cancer Detection and Clinical Decision Support

Gaurav Bhabhar (Author)

e009

PDF

A Review of Machine Learning and Deep Learning Techniques for Automated Tomato Leaf Disease Detection

Sahil Sher (Author)

e010

PDF

A Deep Learning-Based Framework for Tomato Leaf Disease Classification Using Image Preprocessing and Convolutional Neural Networks

Sahil Sher (Author)

e011

PDF