Del i serien Communications in Computer and Information Science

Advanced Network Technologies and Intelligent Computing

5th International Conference, ANTIC 2025, Gwalior, India, December 21–23, 2025, Proceedings, Part III

Häftad, Engelska, 2026

AvAnshul Verma,Pradeepika Verma,Kiran Kumar Pattanaik,Rajkumar Buyya,Dipankar Dasgupta,Mahendra Kumar Shukla

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This three-volume set CCIS 2920-2922 constitutes the refereed proceedings of the 5th International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2025, held in Gwalior, India, during December 21–23, 2025.The 97 full papers and 7 short papers included in these volumes were carefully reviewed and selected from 585 submissions. They are organized in topical sections as follows: Advance Network Technologies; and Intelligent Computing.

Produktinformation

Utgivningsdatum2026-06-23
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor285
FörlagSpringer Nature Switzerland AG
ISBN9783032271198

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.- A hybrid ensemble majority voting approach for Lungs abnormality detection in Chest X-ray images using the Artificial Intelligence Techniques..- Landslide Susceptibility and Risk Assessment in Kodagu, India, using Machine Learning..- Fault Resilience in Memristor Crossbar: Sensitivity-Driven Mapping for Neural Accelerators..- Automated Coral Health Monitoring Using Deep Learning for Early Bleaching Detection and Quantitative Risk Analysis..- Smart Legal Judgment Prediction System using Multi-Attention and Graph-Augmented Reasoning..- GraphEEGFormer (GEFNet): A Graph-Transformer Network with Cross-Attention for Auditory Attention and Envelope Decoding..- LLM-Driven Symptom Analysis for Acupoint Recommendation with Visual and Evidence-Based Reporting..- Motion Segmentation with UNet and Multi-Scale Feature Encoding..- Pills and Perspectives: Decoding Stance on Drug Use with the Rxtance dataset..- Beating the Clock: Volatility-Guided Deep Learning for Intraday Index Trading..- Cold Chain Analysis under Urban Traffic Dynamics: A Machine Learning Approach for Temperature Excursion Prediction: Applying Ml techniques to analyse traffic dynamics in cold chain..- Feature-Fused CNN-LSTM Captioning with GPT-2 Encodings..- Gait Cycle Aligned Frame Graph for Real-Time Athlete Pose Correction Using Hyperrectangle Embeddings..- Capabilities of Segment anything model for Road Segmentation: Zero-Shot Evaluation..- Ensemble Clustering and Optimized SVM for Enhanced Diabetes Risk Stratification..- Lay Summarization for Enhancing Legal Accessibility..- Spatio-Temporal Approach to Deepfake Detection Using Periocular Physiological Cues..- GNN-Enhanced RAG: Structured Retrieval via Neural Graph Traversal for Knowledge-Augmented Generation..- A Deep Learning Approach for Image Denoising Using Noise Estimation and Attention Mechanisms..- A Hybrid ELA–CNN Model for High-Precision Image Forgery Detection..- Comparative Evaluation of Different Gravity Centrality Measures for Finding Central Nodes in Social Networks..- Real-Time Earthquake Detection: A Study of CNN and SNN Approaches..- Semantic Transformation of IFC-Based BIM Data through Panel-Based Integration between SemanIFC and SemanDICT Components..- Impact of Contextual Features on Energy Consumption:An Exploratory and Predictive Analytics Approach..- Implementing Risk-Proportionate AI Giverance in Banking: A Longitudinal Case Study of ISO 42001 and RBI-FREE-AI integration for Credit Risk Management..- Integrated Use of SemanIFC, SemanDICT and SemanVIEW Components for Semantic BIM Workflows..- Reinforcement Learning-Driven Multi-Resolution Architecture for Low-Resource Code-Switched Speech Recognition..- A Novel High Performance DCT Architecture for Efficient Image Compression..- TinyCNN-Based Lightweight Framework for Automated Wheat Leaf Disease Detection.