Advanced Network Technologies and Intelligent Computing
Description
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.
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Content
.- 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.