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Advances on Signal Processing and Computer Vision -

Advances on Signal Processing and Computer Vision

Second International Conference, SIPCOV 2025, Silchar, India, August 8–9, 2025, Proceedings
Buch | Softcover
X, 485 Seiten
2026
Springer International Publishing (Verlag)
978-3-032-15808-6 (ISBN)
CHF 104,80 inkl. MwSt
  • Noch nicht erschienen - erscheint am 04.02.2026
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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.

.- 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

Erscheint lt. Verlag 4.2.2026
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo X, 485 p.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • Biomedical Signal Processing • classification • computer vision • data annotation • Deep learning • EEG Analysis • Explainable AI • Health Informatics • Human-Computer interaction • Human–Computer Interaction • Image Segmentation • Intelligent Systems • machine learning • Medical Image Analysis • Neural networks • pattern recognition • Predictive Modeling • speech and speaker recognition • Transformer Models • Wearable Sensing
ISBN-10 3-032-15808-7 / 3032158087
ISBN-13 978-3-032-15808-6 / 9783032158086
Zustand Neuware
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