Advances in Intelligent Computing and Communication Technology

VTRWC-Net: An Intelligent Pharmaceutical and Biomedical Residual Waste Management Framework - Integrating Vision Transformer with Recommendation System

Peter Thanislas, Anandhavalli Muniasamy and Gauthaman Karunakaran

Innovations, Interdisciplinary Challenges and Future Directions in Harnessing AI for Criminal Justice System

Himanshu Pandey, Kiran Pandey, Bireshwar Dass Mazumdar and Rudransh Choubey

Satellite-Based Anomaly Detection for Agricultural Monitoring Using Autoencoder

Parnav Harinathan, Abhay Kolhe, Avani Bhuva and Rishit Desai

Support Vector Machine-Based Land Cover Classification Using Fused Hyperspectral and LiDAR Data

Mukesh Kumar Verma, Raghav Mehra, Saurabh Singhal and Manohar Yadav

Anomaly Detection in Cloud Storage: A Systematic Survey of Models, Datasets, and Metrics for DDoS Precursor and Insider Threat Identification

Callistus Tochukwu Ikwuazom, Francisca Nonyelum, gwueleka,Mohammed Baba Hammawa, Rajesh Prasad and Ngozi Ukamaka Okonkwo

Smart Computational Framework for Hand Gesture Recognition Using MediaPipe in Therapeutic and Training Applications

Rajesh Kumar, Roop Lal and Bhupinder Singh

Adaptive edge offloading framework for efficient congestion management in mMTC systems

Janani R and N.C.A. Boovarahan

Harmonizing Human and Machine: A Verification Loop for Enterprise Safety Systems

Prashanth Chevva

Value-Weighted Graph Embeddings: A Hybrid Framework for High-Precision Ethereum Phishing Detection

Paritosh Dwivedi and Santhi.K

Attention-Enhanced ResNet for Fire, Smoke, and Normal Image Multi-Class Classification

Arnav Gupta

An Explainable Voting Ensemble Framework for Robust Diabetes Prediction Using SHAP and LIME-Based Interpretability

Sayan Pal and Rahul Karmakar

Designing Scalable and Resilient Software Architectures for Juice Production in the Age of Industry 4.0

Nigam Bhatt

Artificial Intelligence Trends for Automatically Identifying Hate Speech on Social Media Networks

Neha Tyagi, Gopal Krishna Sharma and Narendra Kumar Sharma

Machine Learning-Based Prediction of Typhoid Incidence Using Clinical and Environmental Characteristics

Lakshita Jakhar, Pratiksha Singh and Urvashi

Explainable AI in Diabetic Retinopathy Diagnosis: CNN-Based Detection with Gradient-Weighted Class Activation Mapping

Yogita Pati, Namash Kate, Aadarsh Pathre, Varun Inamdar1 and Karthik Kurup

A Novel Framework for LGB Model-Based Approach for Malware Detection By Analyzing the Ember Dataset

Saloni S. Chauhan, Disha Ganatra and ipal D Ranpara

Multi–Omics Integration in Leukemia Detection Using Multimodal Deep Learning Architectures

P. Preethika and K. Ananthajothi

Unsupervised Deep Learning for Granular Strategic Insight: The Autoencoder Approach

Meet Amin and Maharshi Shukla

Yolov8 Detection of Deviant Behavior in the Crowded Campus

T. Sunitha,Doli Gopi Krishna Jangili, M. Senthil and Nidamanuri Srinu

AI-Powered Regression Approaches for Early Prediction of Blood Glucose and Blood Pressure

Dheerendra Pratap Singh

Explainable Prognostic Modelling for Glioma Using Interpretable Machine Learning Techniques

Nidhi Joyel Gaddala, VenkataSeshaiah Banka, Varshini Valivet1i and Suresh Dara

Automating Precision Agriculture with Deep Learning and Image Analysis

Muthaiah U, Ayyappan K, Balamurugan P, Manigandan B and B. Beaula Pinky

Hybrid Feature Selection Using Nature-Inspired Algorithms for Accurate Lower Back Pain Diagnosis

Suraj Pal Singh, Rakesh Kumar Arora, Gurmeet Kaur Saini and Sheikh Afaan Farooq 

Comparative Study of Chatbots for College Campus Applications: Evaluating Knowledge Base Quality and Platform Performance

Maya Kurulekar, Dhanali Khandagale, Ananya Bhat and Parth Bairagade

Multi-Class Anomaly Detection in Network Traffic Using Supervised Learning

Saumya Agrahari, Ayush Tiwari and Priyanka

Machine Learning-Driven Personalization in E-commerce: Enhancing Recommendation Systems for Optimal User Engagement

Meet Amin and Maharshi Shukla

Predictive Analysis of Cardiovascular Disease — A Future Direction

Doyelshree Bhui, Shilpi Basak, Harsh, Vikramaditya and Harsh Vardhan

Comparative Analysis And Implementation Of Malware Detection In Android Using Machine Learning

Satya Narayan Yadav,Upendra Kumar and Deepali Avasthi

Student Grade Prediction Using Moth-Flame Optimization and Machine Learning

Rishi Kumar, Pritaj Yadav and Alok Katiyar

Exploring Instance Segmentation and Defect Detection Across Varied Textured Surfaces: A Comprehensive Study

Deepti Raj G and Prabadevi B

Gan-Driven Data Augmentation For Enhanced Diabetic Retinopathy Classification Using Deep Learning Frameworks

Naveen Kumar Gupta and Prashant Shukla

Use of AIoT Approaches in Precision Agriculture

Subhradip Chakravarti, Bireshwar Dass Mazumdar and Prashant K. Gupta

Minimising Outage Probability in MIMO-UWOC Systems using Alternating Metaheuristic Power Allocation

Shambhavi Tiwari and Kanchan Sharma

Intelligent Stroke Risk Assessment System

Vanshika Goel, Vaibhav Pandey, Tejas Singh, Utkarsh Yadav and Preeti Garg

Evaluating the Influence of Intelligent Personalization on Consumer Buying Patterns in Digital Commerce

Aditi Sharma, Vartika Puri and Parmeet Kaur

A Stacked Learning Approach to Intrusion Detection for Robust Network Protection

Anshuman Rai, Unnati kesarwani and Priyanka

A Scalable RPA-Enabled Incremental Learning Framework for Course-Specific Student Performance Prediction

M Durga Prasad and Balusu Nandini

Transformer-Multi Model-Guided Generative Adversarial Network For Face Occlusion Removal  

Sutraye Maruthi Rao and Abdul Khayum

Comparative Study of Diffusion Models and GANs for Synthetic Retinal Image Generation

Gaurav Kumar Dashondhi, Prateek Gupta, Vishnu M R, Ritesh Kashyap, Shakti Sharma and Girjesh Dasaundhi

Role of Healthcare 5.0 in Society 5.0

Rishov Saha, Himadri Biswas and Jyoti Sekhar Banerje

Adaptive edge offloading framework for efficient congestion management in mMTC systems

Janani R and N.C.A. Boovarahan

Impact of online credible review and customer purchase intention: A case study of Cambodia

Phichhang Ou, Mouyheng Yeng, Tithdanin Chav, Chheang Oeng, and Lekhana Pich

Improved Spam Identification using a Hybrid Neural-Fuzzy-Wrapper Architecture with Statistical Superiority and Programmatic Noise Alleviation

Amitava Sarder and Ranjan Kumar Mondal

UniBlend: A Hybrid Machine Learning Ensemble for Accurate and Robust Breast Cancer Diagnosis

Khemraj Dhunput, Shireen Panchoo and Saraswati Dhunput

GreenEdge: Leveraging Edge-Enabled Big Data Pipelines and Cloud Orchestration for Real-Time Environmental MonitoringDeep Learning: Sustainable Model Design through

Vijayanand Selvaraj

Biography

Sanjeev Kumar received his Master’s degree in Software Engineering from MNNIT Allahabad in 2015 and earned his Ph.D. from the same institute in 2020. With nearly 12 years of professional experience, he is currently serving as an Associate Professor in the Department of Computer Science at United University, Prayagraj. 

Prashant Shukla is an Associate Professor and Head of the Department in the Department of Computer Science and Engineering at United University, Prayagraj, India. He received his M.Tech. and Ph.D. degrees from the prestigious Indian Institute of Information Technology (IIIT) Allahabad. Dr. Shukla has been extensively involved in teaching, research, and departmental leadership for several years. His research interests span across Deep Learning, Machine Learning, Natural Language Processing, Artificial Intelligence, and emerging computational technologies. 

Jyoti Sekhar Banerjee is currently serving as the Associate Professor & Head of the Department in the Computer Science and Engineering (AI & ML) Department at the Bengal Institute of Technology, Kolkata, India. He is also the Professor-in-Charge, R & D and Consultancy Cell & Nodal Officer of the IPR Cell of BIT. Since 2024, he also works as a Remote Researcher in the Internet of THings & AppliCAtions Lab (ITHACA) at the Department of Electrical and Computer Engineering, University of Western Macedonia, Greece. Dr. Banerjee is also working as the Adjunct Research Faculty under the Lincoln Global Postdoctoral Researcher (LGPR) Programme at Lincoln University College, Malaysia. 

Siddhartha Bhattacharyya [FIET(UK), FIEI, FIETE, LFOSI, FSCRS, SMIEEE, SMACM, SMAAIA, SMIETI, LMCSI, LMISTE] is currently serving as a Senior Researcher in the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic. He also serves as the Scientific Advisor of Algebra University College, Zagreb, Croatia. 

Panagiotis Sarigiannidis is the Director of the ITHACA lab, co-founder of the 1st spin-off of the University of Western Macedonia: MetaMind Innovations P.C., and Full Professor in the Department of Electrical and Computer Engineering in the University of Western Macedonia, Kozani, Greece. He received the B.Sc. and Ph.D. degrees in computer science from the Aristotle University of Thessaloniki, Thessaloniki, Greece, in 2001 and 2007, respectively. 

Jan Platoš is a professor at the Department of Computer Science and the Dean of the Faculty of Electrical Engineering and Computer Science, VSB-TUO, Czech Republic. He has co-authored more than 240 scientific articles published in proceedings and journals. His primary fields of interest are machine learning, artificial intelligence, industrial data processing, text processing, data compression, bioinspired algorithms, information retrieval, data mining, data structures, and data prediction.