Artificial Intelligence Based Smart and Secured Applications : 4th International Conference, ASCIS 2025, Gujarat, India, September 11-13, 2025, Revised Selected Papers, Part III.DE (Communications in Computer and Information Science)

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Artificial Intelligence Based Smart and Secured Applications : 4th International Conference, ASCIS 2025, Gujarat, India, September 11-13, 2025, Revised Selected Papers, Part III.DE (Communications in Computer and Information Science)

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Full Description

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

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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