Rajagopal / Sajja / Thanki Artificial Intelligence Based Smart and Secured Applications

4th International Conference, ASCIS 2025, Gujarat, India, September 11–13, 2025, Revised Selected Papers, Part I
Erscheinungsjahr 2026
ISBN: 978-3-032-17834-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 416 Seiten

Reihe: Artificial Intelligence (R0)

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

Zielgruppe

Research

Autoren/Hrsg.

Rajagopal, Sridaran

Sajja, Priti

Thanki, Rohit

Kumar, Ajay

Inhaltsverzeichnis

Artificial Intelligence & Machine Learning.- AI-Driven Predictive Analytics in Metallurgical Marketing: Enhancing Demand Forecasting and Supply Chain Efficiency.- Classification of Cross-Domain Sentiments in Big Data Using Renewed Genetic Algorithm.- Rejuvenated Particle Swarm Optimization-Based Classifier For Big Sentiment Data Classification.- A Feature-Enriched Extractive Text Summarization Framework for Hindi Language Documents.- Municipal Solid Waste Prediction Using SARIMA and Exponential Smoothing.- Mitigating Data Bias and Errors through Machine Unlearning for Accurate Human Skin Disease Prediction.- Pediatric Response and Interaction Medical Engine – The Basic insights.- Multimodal Machine and Deep Learning Approaches for Lung Cancer Prediction: A Survey and the HeteroFusion-LungNet Model Using CT and Clinical Data.- CNN-Based Feature Learning with Gradient Boosting for Secure Code Analysis.- PermDroid: A Privacy-Preserving framework for Android malware detection using Federated Learning.- Medical Cloud-Based Data Management System.- A Survey of Data Fusion and Integration Techniques for Cotton Quality Prediction in the Context of Gujarat.- An Intelligent Intrusion Detection and Mitigation Model using Self-Supervised Auto Encoders and Ensemble Learning.- Empowering Early Cardiac Risk Detection Using Advanced Machine Learning Models.- IoT and Machine Learning-Based Sugarcane Leaf Disease Classification.- A Multimodal Deep Learning Framework for Intelligent Animal Intrusion Monitoring in Farmlands.- Real-Time Detection of Wildlife Intrusion in Agricultural Fields Using Edge-Optimized Deep Learning Models.- Early Prediction of Central Precocious Puberty Using Ann+Vgg16 Model.- Improving Accurate Prediction in Cardiovascular Disease and Optimizing using Novel Nesterov Accelerated Gradient in Comparison with Gradient Boosting Classification.- Leveraging Machine Learning Algorithms for Precise Heart Disease Prediction.- A Real-Time AI-Driven Prenatal Nutrition Framework Integrating Multi-Modal Data For Personalized Maternal Care.- AI-Powered Learning: Assessing ChatGPT’s Influence on Student Engagement and Autonomy.- Towards Smarter OCR for Real-Time Text Recognition.- Sanskrit to English Translation : A Review.- Mapping AI Governance Models in Finance: A Cross-Country Comparative Study.- Deepfake Face Detection Using CNN and Transformer Architectures for Enhanced Digital Security.- Novel Transfer Learning Framework for Lung Cancer Detection based on Integer Wavelet Transform (IWT) Sub-Band Decomposition and a customized Fused ResNet50 Architecture ((IWT-Fused ResNet50).- Efficient and Ethical Data Collection from E-Commerce Platforms via Web Scraping: A Case Study on Amazon Product Reviews.- LieToMe: A Multi-Agent System for Detecting Hallucinations in Large Language Models.