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
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. Vishal Gangadhar Puranik
GUEST EDITOR
Department of Artificial Intelligence & Data Science
Ajeenkya DY Patil School of Engineering, Pune
Dr. Bhagyashree Manish Dhakulkar
GUEST EDITOR
Artificial Intelligence and Data Science Engineering
Ajeenkya DY Patil School of Engineering
Articles in this Issue
43 articles13
Research Article
Open Access
Explainable Graph Neural Network Framework for Multi-Objective Discovery of Next-Generation Battery Materials Using Limited Experimental Data
Exploring the vast chemical design space to find better electrode and electrolyte materials is a roadblock to electric mobility and grid scale storage as no laboratory can keep up. While graph neural networks (GNNs) are a promising method for estimating material propert...
Battery materials
Explainable AI
Graph Neural Networks
Limited Data Learning
Materials Informatics
Multi-Objective Optimisation
Voltage Prediction.
14
Research Article
Open Access
FEDERATED LEARNING WITH GENERATIVE AI FOR PRIVACY-PRESERVING MEDICAL DATA ANALYSIS : A Comparative Review of Recent Approaches and Open Gaps
Hospitals possess the necessary data for training accurate diagnostic models, but privacy regulations prevent this from happening. Combining the approach of federated learning (FL) with generative models allows for expanding and balancing the training data without the n...
federated learning
generative models
differential privacy
synthetic data
medical imaging
diffusion models
15
Research Article
Open Access
ENTERPRISE DECISION INTELLIGENCE WITH RETRIEVAL-AUGMENTED GENERATION: A CONTEXT-AWARE FRAMEWORK FOR GROUNDED BUSINESS INSIGHTS
Organizations store decision-relevant information across financial reports, sales records, customer feedback, policy documents and market research, yet decision-makers often cannot retrieve the right facts quickly, and general-purpose AI chatbots answer from pre-trained...
Retrieval-Augmented Generation
large language models
business decision support
dense retrieval
enterprise knowledge management
hallucination mitigation
vector search
16
Research Article
Open Access
AI-BASED TRAFFIC CONTROLLING SYSTEM : A Literature Review of Computer Vision, Reinforcement Learning, and IoT Approaches
Traffic jams become a frequent issue in rapidly growing cities; however, the time-fixed lights do not adjust properly to changing car traffic. In this paper, different approaches using the following elements: artificial intelligence, computer vision, reinforcement learn...
Artificial intelligence
traffic light control
computer vision
reinforcement learning
deep reinforcement learning
Internet of Things
YOLO.
17
Research Article
Open Access
AI-Powered Research Decision Support System for Scientific Literature Analysis and Research Gap Discovery
The number of papers is such that it’s impossible to read them all. Everybody who carries out a literature review is aware of this. For each study you have to determine its aim, the methods it employed, the data and metrics it used, the limitations or omissions it had,...
Artificial Intelligence
Intelligent Document Analysis
Large Language Models
Natural Language Processing
Research Decision Support
Research Gap Detection
Scientific Literature Analysis
18
Research Article
Open Access
AIoT Air Quality Monitoring Network – Predicts pollution levels using IoT environmental sensors
The current urban pollution levels and the less extensive coverage of the air quality indexes by government stations have resulted in the establishment of networks for the monitoring of air contaminants at a low cost, as described in this paper. The paper discusses the...
AIoT
Air Pollution Index
environmental sensors
ESP32
MQ135
DHT22
particulate matter
pollution forecasting
time series forecasting
edge monitoring
19
Research Article
Open Access
AI-Powered Personalized Smart Travel Assistant with Dynamic Decision Intelligence
The traditional navigation systems focus primarily on finding the shortest route, ignoring many things such as weather, traffic, accidents, parking and preferences of travelers. The recent work uses for the purpose of personalized trip planning various state-of-the-art...
Artificial intelligence
Dynamic decision intelligence
Intelligent route planning
Machine learning
Personalized travel assistant
Predictive analytics
Recommendation system
Real-time data integration
Smart transportation
20
Research Article
Open Access
Adaptive Digital Consciousness: An Evolutionary Framework for Human Identity Preservation Using Large Language Models
Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) have greatly changed the interaction between man and machines through natural-language reasoning, content generation, personalization, and interaction via agents. However, traditional LLM applic...
adaptive artificial intelligence
digital identity
preservation of human identity
large language models
generation of artificial intelligence
Digital DNA technology
long-term memory and retrieval-augmented generation technology
autonomous agents and digital legacy
21
Research Article
Open Access
Lightweight Multi-Agent Verification Framework for Trustworthy RAG to Reduce LLM Hallucinations
Although Large Language Models (LLMs) are mostly effective, they sometimes produce outputs that are not necessarily accurate, and Retrieval-Augmented Generation (RAG) offers a solution to the problem by getting the model to read some materials before producing the answe...
Retrieval-Augmented Generation
Hallucination
Multi-Agent Systems
Evidence Verification
Trustworthy AI
Large Language Models
22
Research Article
Open Access
AI-BASED UNDERGROUND CABLE FAULT DETECTION - Fault Classification and Location Using Machine Learning, Arduino and Online Alerts
As soon as there occurs any fault in a buried power cable, it becomes impossible to determine the fault's position, and a significant amount of time gets wasted while trying to find out where it is located. This paper suggests an economical and compact method of solving...
Underground cables
fault categorization
fault localization
machine learning
random forest
Arduino
predictive maintenance
23
Research Article
Open Access
BLOCKCHAIN-POWERED AGRICULTURAL CARBON CREDIT MARKETPLACE: A Verifier-Attested Architecture for Smallholder Credit Generation, Buffering, and Trading
Agriculture has the potential to deliver substantial amounts of verified carbon removals, but smallholders rarely participate: costs of certification are fixed per project, evidence of soil carbon is challenging to elicit and verify, and tokenized-credit markets to date...
Agricultural carbon credits
blockchain
digital MRV
smart contracts
smallholder farmers
tokenization
24
Research Article
Open Access
An Explainable AI Framework for Detecting Fraudulent Internship and Job Offers
Online portals have become commonplace for internships and job opportunities. With the increasing number of fraudulent internship and job offers, students find it difficult to differentiate between legitimate opportunities. Students face various risks such as fake recru...
Artificial intelligence
cyber security
explainable AI
fraud detection
internship fraud
job fraud
LIME
machine learning
natural language processing
SHAP.