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 wl,
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