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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

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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
01
Research Article Open Access

AI-BASED DETECTION AND CLASSIFICATION OF PROTECTIVE COATING DEFECTS IN DEFENCE PLATFORMS : A Standards-Aligned Survey and Proposed Framework

Protective coatings are the first line of defence against corrosion on naval, aerospace and land defence platforms, yet their condition is still judged largely by human visual inspection, which is subjective, difficult to audit and hard to scale across a fleet. Recent d...

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02
Research Article Open Access

PRIVACY-PRESERVING MULTIMODAL AI FOR REAL-TIME PERSONALIZED LEARNING OF STUDENTS WITH DISABILITIES

Classrooms that rely on a single, general-purpose AI tool to support students with disabilities tend to cover very little of what those students actually need, because such tools are built for one input or output channel and cannot adjust a lesson in response to how a s...

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03
Research Article Open Access

AIoT-Based Smart Public Toilet Management System: An ESP32 Prototype with Cloud Logging, a Multi-Location Dashboard and a Staged Hygiene-Analytics Plan

Most public toilets are cleaned on a timetable. Nobody counts how many people actually used them, nobody notices the water tank running low until it is empty, and the air inside can turn hot and damp for hours without anyone knowing. We built a small prototype to see ho...

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04
Research Article Open Access

Generative AI for Early Detection of Depression Using Multimodal Data: A Review

Depression is a major mental-health condition that affects emotion, behaviour, communication and daily functioning, and its early identification remains a significant challenge for both clinicians and researchers. Conventional assessment relies mainly on clinical interv...

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05
Research Article Open Access

AI-Based Snoring Detection and Early Sleep Apnea Prediction Using Deep Learning: Review

Obstructive sleep apnea (OSA) is largely underdiagnosed due to the reference test, overnight polysomnography (PSG) requiring a sleep laboratory and trained staff. Because loud, habitual snoring is among the first outward signs of OSA, a number of recent studies ask whet...

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06
Research Article Open Access

Retrieval-Augmented Generation for Enhancing Large Language Models with External Knowledge: A Critical Theoretical Review

During their training, Large Language Models (LLMs) learn their knowledge in the form of parameters. As a result, LLMs can be prone to hallucination (generation of misinformation) and have outdated information. They are also limited in terms of what they can understand...

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07
Research Article Open Access

GENERATIVE AI FOR AUTOMATED SOFTWARE PROJECT PLANNING

Software project planning involves defining the scope, requirements, stakeholders’ roles, task dependencies, duration of each task and potential risks. For the most part, these activities are carried out manually and highly depend on the experience of project managers....

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08
Research Article Open Access

ADAPTIVE HYBRID FRAMEWORK FOR FACIAL PRIVACY PROTECTION AGAINST UNAUTHORIZED FACE RECOGNITION

Facial recognition technology has become an important component of modern computer vision systems and is widely used for authentication, surveillance, access control, social media applications, and identity verification. However, the increasing use of automated facial r...

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09
Research Article Open Access

Deep Learning-Based Fruit and Vegetable Quality Grading Using Computer Vision: Recent Advances, Challenges, and Future Directions:Review

The grading of fruits and vegetables is mostly dependent on subjective visual inspection techniques that require labor. Computers and advanced machine learning systems can help to invent non-destructive tools for quality evaluation of fruits and vegetables based on colo...

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10
Research Article Open Access

Space Debris Detection Using Deep Learning and Computer Vision: Survey and Proposed Detection Pipeline

Dead spacecraft and burnt-out rocket bodies and the pieces of spacecraft and rocket that fragments from old spacecraft collisions make are getting more and more crowded in orbit around the planet. The smallest and faintest of these objects is hard to detect with surveys...

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11
Research Article Open Access

A REVIEW OF ANTI-SPOOFING AND SPEAKER VERIFICATION TECHNIQUES FOR PRIVACY-FIRST, ON-DEVICE DETECTION OF AI-CLONED VOICE SCAMS AND FAMILY VOICE VERIFICATION

Cloned voices are now cheap to make and easy to misuse in phone scams that imitate a relative or a colleague. This review paper examines what the research literature offers for defending ordinary users against such calls and uses it to propose Voice-Clone Guardian, a mo...

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12
Research Article Open Access

An Explainable Risk-Aware Framework for Governing and Monitoring Shadow AI in Enterprise Environments

Generative AI assistants are now being used for work purposes, often beyond the view of enterprise IT, security, and compliance functions, creating a shadowy14 area where data usage is difficult to track and responsibility hard to establish. By analyzing six different p...

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