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Produktbild: Advances on Signal Processing and Computer Vision
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Advances on Signal Processing and Computer Vision Second International Conference, SIPCOV 2025, Silchar, India, August 8–9, 2025, Proceedings

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.02.2026

Abbildungen

XVIII, 476 p. 238 illus., 215 illus. in color.

Herausgeber

Ram Kumar Karsh + weitere

Verlag

Springer

Seitenzahl

476

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

744 g

Sprache

Englisch

ISBN

978-3-032-15808-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.02.2026

Abbildungen

XVIII, 476 p. 238 illus., 215 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

476

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

744 g

Sprache

Englisch

ISBN

978-3-032-15808-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advances on Signal Processing and Computer Vision
  • .- 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.
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    .- 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.
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