Advances on Signal Processing and Computer Vision
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Home > Computing and Information Technology > Computer science > Artificial intelligence > Computer vision > Advances on Signal Processing and Computer Vision: Second International Conference, SIPCOV 2025, Silchar, India, August 8–9, 2025, Proceedings(2848 Communications in Computer and Information Science)
Advances on Signal Processing and Computer Vision: Second International Conference, SIPCOV 2025, Silchar, India, August 8–9, 2025, Proceedings(2848 Communications in Computer and Information Science)

Advances on Signal Processing and Computer Vision: Second International Conference, SIPCOV 2025, Silchar, India, August 8–9, 2025, Proceedings(2848 Communications in Computer and Information Science)


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About the Book

This book constitutes the proceedings of the Second International Conference on Signal Processing and Computer Vision, SIPCOV 2025, held in Silchar, India, during August 8–9, 2025.   The 36 full papers were included in this were carefully reviewed and selected from 146 submissions. They focus on Signal Processing, Computer Vision, and Biomedical Image Processing.

Table of Contents:
.- Part I: Signal Processing and Artificial Intelligence for Biomedical Imaging and Health Informatics. .- Capturing Chronic Condition Variance: A Spectrogramto-Latent-Space Differentiation via Autoencoders. .- Attention-Weighted Spectral Token Classification for Non-Invasive Detection of Fetal Breathing Movements Using Transformer-Based Acoustic Signal Modeling. .- WeeCare: A Benchmark Database for the Analysis of Fetal Stress Condition from Cardiotocography Signals. .- Unveiling Cognitive Dissonance in Pain Perception Through Cluster-Based Subject Modeling. .- GAN-Based Transfer Learning Model for Brain Tissue Classification in Progressive Multiple Sclerosis Using Electron Microscopy Images. .- HMST-Lite: A Lightweight Multi-Scale Transformer for Early Breast Cancer Stage Classification. .- MelanoXAI: Explainable AI for Melanoma Detection in Dermatoscopic Images. .- Explainable Deep Supervised Attention U-Net for Fetal Abdominal Structure Segmentation. .- Lifestyle-Based Machine Learning Models for the Early Detection of Heart Disease. .- Differentiation of Basal and Activated Autophagy using CNN Algorithm. .- Automated Sperm Morphology and Quality Scoring using Explainable EfficentNet-B0 Driven Framework. .- Hybrid Bi-directional GRU-Attention U-Net with MLP Classifier for Accurate Pneumonia Segmentation and Classification. .- Lung infectious diseases diagnosis with Convolutional Neural Network using Chest X-ray images. .- Evaluation of Deep Learning Model using optimal rotationally transformed data for the detection of age-related macular degeneration. .- Internet Addiction Recognition from EEG Signals Using Laplacian Energy Features. .- Robust microaneurysm Detection in Retinal Fundus Images Using an Optimized ResNet50-UNet Model. .- Designing a system to detect psychological stability status using AI-Driven Analysis. .- Design and Implementation of Cardiac Arrest Detection. .- Investigations and Analysis of Textile Electrocardiogram Electrodes for Wearable Health Monitoring System.   .- Part II: Computer Vision and Deep Learning for Visual Perception, Image Understanding, and Scene Analysis. .- CNN based structural damage detection by reducing sensors through SHAP method Know. .- A Robust Machine Vision Model to Detect Wildfire Utilizing Advanced AI-Based Deep Learning. .- Multiple Face Detection, Recognition, and Tracking for Enhanced Security and Surveillance Applications. .- Automated Attendance Tracking System Using Facial Recognition Web Application. .- MiGRoW: A Multi-Perspective Feature Weighting Scheme Using Gini, Entropy, and Mutual Information. .- An Underwater Image Enhancement Usin Integro-Differential Equation Based Model.   .- Part III: Signal Processing and Intelligent Systems for Human Computer Interaction. .- Movement Analysis in Performing Arts from Human Body Pose Estimation. .- DeepFood: Enhancing Recipe Selection through AI-Based Ingredient Recognition. .- CrookFoot: An Android-Based Deep Learning Application for Real-Time Foot Deformity Detection and Arch Index Estimation. .- Pneumatically Actuated Lower Limb Exoskeleton: A Design and Control Approach. .- Quantum-Based Encryption Model for Satellite Video Images: A Comparative Analysis. .- Bridging Communication Gaps: An Integrated GUI for ISL Gesture-to-Voice and Voice-to-Sign Translation. .- Designing a system to detect psychological stability status using AI-Driven Analysis. .- DL-AAT: An Automatic Annotation Tool for Efficient Data Labeling in Vision-Based Systems. .- Speaker Recognition using Kannada Language Emotional Speech Text Dependent Corpus. .- Resource-Conscious Predictive Load Balancing (RCPLB) for Single Board Computers (SBC) using Support Vector Machines (SVM). .- Real-Time Sign Language Recognition Using an Attention-Driven Ensemble of Deep Models.


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Product Details
  • ISBN-13: 9783032158086
  • Publisher: Springer Nature Switzerland AG
  • Publisher Imprint: Springer Nature Switzerland AG
  • Height: 235 mm
  • No of Pages: 485
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: 2848 Communications in Computer and Information Science
  • Width: 155 mm
  • ISBN-10: 3032158087
  • Publisher Date: 04 Feb 2026
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Returnable: N
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  • Returnable: N
  • Returnable: N
  • Sub Title: Second International Conference, SIPCOV 2025, Silchar, India, August 8–9, 2025, Proceedings


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Advances on Signal Processing and Computer Vision: Second International Conference, SIPCOV 2025, Silchar, India, August 8–9, 2025, Proceedings(2848 Communications in Computer and Information Science)
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Advances on Signal Processing and Computer Vision: Second International Conference, SIPCOV 2025, Silchar, India, August 8–9, 2025, Proceedings(2848 Communications in Computer and Information Science)
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