editor@bjddjournal.org +91 8600071634, +91 98903 82132
Open-Access, Transparent Peer-Reviewed, Refereed

BODHIVRUKSHA JOURNAL OF DIVERSE DISCIPLINE

ISSN: 3139-1486 (Online) | ISSN: 3139-9819 (Print) Impact Factor : 6.21 ESTD Year : 2025
Bi-monthly Multilingual Academic Research Multidisciplinary

*** Important Announcement: Call for Papers! Submissions are now open for the upcoming issue. Please visit the "Submit Paper" section to learn more. ***
Back to Special Issues & Conferences
Special Issue on Emerging Frontiers in Artificial Intelligence and Multidisciplinary Intelligent Systems banner

Special Issue on Emerging Frontiers in Artificial Intelligence and Multidisciplinary Intelligent Systems

The Special Issue titled “Emerging Frontiers in Artificial Intelligence and Multidisciplinary Intelligent Systems” aims to provide a multidisciplinary academic platform for researchers, academicians, scientists, and technology professionals to explore recent advancements, emerging challenges, and innovative applications of Artificial Intelligence (AI) and intelligent computing technologies across diverse fields. This Special Issue brings together research contributions focusing on Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, Machine Learning, Artificial Intelligence of Things (AIoT), autonomous systems, and advanced data-driven technologies. It highlights the growing role of intelligent systems in transforming research methodologies, decision-making processes, automation, and digital innovation. The scope extends to interdisciplinary applications of AI in healthcare, education, cybersecurity, defence technologies, business intelligence, smart infrastructure, and assistive technologies. Particular emphasis is placed on privacy-preserving AI, explainable and trustworthy intelligent systems, autonomous decision-making, early disease detection, personalized learning, and AI-enabled monitoring and management solutions. By integrating theoretical perspectives, technological frameworks, critical reviews, and application-oriented research, this Special Issue seeks to encourage scholarly collaboration, promote responsible AI development, and advance innovative solutions to contemporary scientific, technological, and societal challenges. Published in the BODHIVRUKSHA JOURNAL OF DIVERSE DISCIPLINE (BJDD), this Special Issue aims to contribute to academic knowledge, interdisciplinary research, and the development of intelligent technologies that support sustainable innovation and societal progress.

Published: 20 October 2026 Mode: - Total Articles: 43 ISSN: 3139-1486

Editorial / Conference Details

GUEST EDITORS

Dr. Sanket Lodha

Dr. Sanket Lodha

LEAD GUEST EDITOR & CHIEF EDITOR, BJDD PRINT EDITION

Postdoctoral Research Fellow,

Lincoln University, Malaysia, D. Y. Patil Institute of Master of Computer Applications and Management, Akurdi, Pune, Maharashtra, India

Dr. Vishal Gangadhar Puranik

Dr. Vishal Gangadhar Puranik

GUEST EDITOR

Department of Artificial Intelligence & Data Science

Ajeenkya DY Patil School of Engineering, Pune

Dr. Bhagyashree Manish Dhakulkar

Dr. Bhagyashree Manish Dhakulkar

GUEST EDITOR

Artificial Intelligence and Data Science Engineering

Ajeenkya DY Patil School of Engineering

Articles in this Issue

43 articles
25
Research Article Open Access

AI-BASED EARLY DETECTION OF HEART DISEASE: A REVIEW

Cardiovascular diseases have become one of the major sources of morbidity in the world, therefore early detection of the people at risk would allow medical professionals more time to act. One of the approaches to the problem through ML is the use of the information that...

View Article Download PDF Certificate
26
Research Article Open Access

AI-Powered Cybersecurity: A Review of Intelligent Threat Detection, Automated Blocking, and Incident Reporting

Cyber attacks are increasing with many being very targeted and difficult to detect using signature based approaches. Signature based approaches are useful for detecting known threats but have weaknesses when trying to detect unknown threats like zero day attacks, mutate...

View Article Download PDF Certificate
27
Research Article Open Access

AI-Driven Smart Agriculture: An Intelligent Farming System Using AI, IoT, ESP32, Edge AI, and Smart Solar Irrigation

Agriculture is the mainstay of the Indian economy, However, water insecurity, climate variability and degradation of soils are the challenges faced by farmers. Increasing energy prices and crop diseases. Existing studies show that Artificial Intelligence (AI), the Inter...

View Article Download PDF Certificate
28
Research Article Open Access

AI-Powered Zero Trust Smart Shopping Mall Security System: A Review and Proposed Framework

Modern Shopping Malls consist of many Payment Terminals, CCTV Cameras, IoT Devices, Cloud Services and Public Wi-Fi. While this provides convenience for the user it introduces many potential entry points making traditional security methods inefficient. By applying real...

View Article Download PDF Certificate
29
Research Article Open Access

Multimodal AI-Based Crop Health Monitoring Using Image, Weather and Soil Data for Precision Agriculture: A Review and Proposed Framework

Detecting disease symptoms in the field before they reach advanced stages gives farmers more options in how they respond. Classification of leaf images by deep learning models has already been shown to be possible. However, leaf images alone are not enough, because a le...

View Article Download PDF Certificate
30
Research Article Open Access

Customer Analytics using Data Science: A Review of Segmentation, Churn Prediction, Recommendation and Explainable AI Techniques

The information age is dominated by massive data collection. Data on what customers buy, use and write are some examples. Manually processing and analyzing this volume of data is infeasible. Therefore, Data Science techniques are utilized to extract the value and patter...

View Article Download PDF Certificate
31
Research Article Open Access

Fake Wi-Fi (Evil Twin) Detection Using Machine Learning: A Review and a Random Forest-Based Detection Framework

Public Wi-Fi hotspots, although convenient, compromise the privacy and security of the users since attackers can launch Evil Twin attacks by deploying rogue access points that mimic the legitimate ones and lure devices to connect to them. Checking a single parameter suc...

View Article Download PDF Certificate
32
Research Article Open Access

Explainable AI-Based Phishing and Quishing Detection Through Multilayer QR and URL Analysis: A Survey

QR codes offer convenience by turning activities such as payments, sign-ins, ticket entries and menu browsing into one-step actions, however, their final destination may never reveal unless one scans them. It is quishing here that takes place by means of redirecting wit...

View Article Download PDF Certificate
33
Research Article Open Access

Sustainable and Green Robotics: Energy- Aware Software Architecture for Ambient- Powered Autonomous Robotic System

Most mobile and remote field robots, as well as sensor nodes, continue to operate on conventional batteries. Batteries offer flexibility, but they must eventually be replaced, which creates an e-waste problem. One approach discussed in my seminar readings is to remove b...

View Article Download PDF Certificate
34
Research Article Open Access

Context-Aware Multimodal Generative AI Framework for Insulin Stacking Risk Assessment and Clinical Decision Support

There is an increased risk of hypoglycemia with insulin stacking, which involves taking a new insulin dose while the previous dose is still working. The works reviewed focus on dose titration or automated delivery of medication, or conversational counseling in recent st...

View Article Download PDF Certificate
35
Research Article Open Access

Real Estate Price Prediction Using Machine Learning Techniques: A Review and a Proposed Explainable Framework

Valuation of real estate can be difficult as the values can veer greatly between regions with many variables to consider. What this article introduces is the summary of several studies that have been done between 2016 and 2026 where Machine Learning (ML) strategies have...

View Article Download PDF Certificate
36
Research Article Open Access

ARTIFICIAL INTELLIGENCE FOR DETECTING SIGNS OF STUDENT BURNOUT AND PSYCHOLOGICAL DISTRESS : Machine Learning, Wearables, and Smartphone-Based Studies: A Review Paper

Student stress and burnout are major educational problems for college students, who often work under heavy demands such as examinations, large workloads, and tight deadlines. As a result, students’ well-being is seriously threatened. Usually, the problem is spotted only...

View Article Download PDF Certificate