Overview

This five-volume set, CCIS 2819–2823, constitutes the refereed proceedings of the 4th International Conference on Advancements in Smart Computing and Information Security, ASCIS 2025, held in Rajkot, Gujarat, India, during September 11–13, 2025. The 112 full papers and 25 short papers included in these volumes were carefully reviewed and selected from 579 submissions. They are organized into the following topical sections: Part I, II, III: Artificial Intelligence & Machine Learning Part IV: Cyber Security Part V: Smart Computing

Full Product Details

Author:   Sridaran Rajagopal ,  Priti Sajja ,  Rohit Thanki ,  Ajay Kumar
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032178398

ISBN 10:   3032178398
Pages:   492
Publication Date:   13 February 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

Artificial Intelligence & Machine Learning.- Voice Veritas: Fake Voice Detection Using Deep Learning.- An In-Depth Analysis of Emerging Technologies in Contemporary Healthcare- A Review.- Hybrid Knowledge Base Architecture for Real-Time Conversational AI.- Multimodal Transformer-Based Classification of Breast Cancer Laterality.- Deep Dive into Machine Learning for Early Breast Cancer Classification.- A Hybrid AI Framework for Personalized Foundational Learning Using Decision Trees and Fuzzy Logic.- Real-Time Knowledge Access Using Large Language Models and Web Technologies.- Enhancing Bird Flu Outbreak Predictions Using Data Mining Techniques.- Meta-Heuristic Ensemble Feature Selection (MEFS) and Stacking Deep Ensemble Classifier (SDEC) Model for Weather Prediction and Renewable Energy Demand Forecasting.- HySCAF: An Explainable and Efficient Feature Selection Strategy for Gestational Diabetes Prediction.- Improving Question Generation with Retrieval-Augmented Generation and Semantic Search Using Cosine Similarity Validation.- Diabetes Risk Prediction In Pregnant Women Using Deep Belief Network.- Brain Tumor Detection from MRI: Comparative Study of NIfTI, JPEG and PNG File Formats.- Assessing the Financial Sustainability of AI-Powered Infrastructure and Cybersecurity Protocols in India’s Smart Cities.- A Two-Stage Hybrid Preprocessing Framework for Improving Machine Learning-Based Gestational Diabetes Prediction.- Geo-Intelligent Automation of Farmer Queries: A Hybrid Machine Learning Approach to Enhance Kisan Call Centre Efficiency.- Decentralized Pan Card Forgery and Tampering Detection Using FLWR, CNN, OCR and GRAD-CAM.- Deep Learning Approach for Gestational Diabetes Mellitus Classification Using LSTM Neural Network Model.- Data-Driven Predictive Maintenance: Evaluating ML and DL Models with Enhanced OEE Metrics.- Early Prediction of Novice Students Performance in an Introductory Programming Course Using Hyperparameter Tuned Model.- DeepSegNet: A Deep Learning-Based Framework for Semantic Segmentation of Satellite Imagery.- Leveraging Market Basket Analysis and Clustering for Personalized Retail Recommendations: A Case Study of a Local Supermarket.- A Systematic Review of Sentiment Analysis for Applications Utilizing.- Nonlinear Structure Detection in Cloud Workload Series: A Comparative Study of Testing Methods.- Enhancing BB84 Quantum Key Distribution: Analyzing the Impact of Noisy Channels and Future Advancements.- AI-Based Early Learning Assistant Using Speech Recognition and Concept Mapping.- Optimizing Query Performance in Relational Databases: A Comparative Study of Index Merge Strategies and Caching Techniques.- Multi-Class Land Cover Classification in Satellite Images Using U-Net and Attention Mechanisms.- Augmenting Performance Precision of Brain Signals through Corporeal Modes to Identify Bradykinesia through Multilevel SVM and Entropy Computation.- Magnetic Resonance images detection of Alzheimer's Disease.- Android Malware Detection (AMD) Using Stacked Deep Learning Ensemble Classifier Fusion (SDLECF) With Nature-Inspired Based Ensemble Feature Selection (NIEFS).

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