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Herausgeber: 
  • BADRI NARAYAN SUBUDHI
  • Ranjeet Kumar Rout
  • Brajendra Singh Sengar
  • Computer Vision, Pattern Recognition, Image Processing, and Graphics: 10th National Conference, NCVPRIPG 2025, Jammu, India, July 16–18, 2025, Revised 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2026  
    Genre:  EDV / Informatik 
     
    AI in agriculture / angewandte informatik / Artificial Intelligence / Bildverarbeitung / biomedical / Classification / Computer and Information Systems Applications / Computer Communication Networks
    ISBN:  9783032085078 
    EAN-Code: 
    9783032085078 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  478 
    Illustration:  XXII, 478 p. 216 illus., 195 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    .- Facial Action Unit Analysis for Indian Classical Dance Forms: A Micro-Emotion Sequencing Framework Approach. .- Semi-Supervised Approach for Disease Severity. .- A Vision-Guided Autonomous Weeding Robot using Image-Based Weed Classification for Sustainable Agriculture. .- Towards Realistic Synthetic Palmprint Data: A Smartphone Video Dataset with Diverse Variations. .- HybridMorph: Towards usage of synthetic with real data for medical MR images registration. .- Glaucoma Detection in Retinal Images via Attention-Based Hybrid Deep Model with Fibonacci-Inspired Ring Features. .- A comparative analysis of deep learning models for crop price forecasting. .- Whirling Triangle-Based Geometric and Texture Feature Extraction with Attention-Driven Hybrid Models for Multiclass Osteoporosis Classification from Knee X-rays. .- Leveraging DeepLabV3+ with Explainable AI for Brain Tumor Segmentation in 2D MRI. .- Impact of Age and Gender on the Accuracy of Computational Model-Based Heart Disease Prediction. .- SAPxAI: Deep Features with Explainable Artificial Intelligence Techniques for Prediction of Saffron Adulteration. .- A Secure Collaborative Approach for Autism Spectrum Disorder Detection Using Decentralized Deep Learning. .- Precision Soil Monitoring via UAV-Captured RGB Imaging and Spectral Band Regression Using Deep Learning. .- Emotion Recognition with EEG Signals using Transformer-based Trainable Adjacency Matrix and Graph Convolutional Network. .- A Review on AI-Based Cognitive Systems for Digital Wellbeing. .- AI-Driven Dermatology: Enhancing Melanoma Detection with XAI and Deep Learning. .- Explainable Skin cancer Detection via Hybrid CNN and Adaptive Post-Hoc Explanations. .- Vegetation region localization for plant in field having specular reflection. .- Quantifying Plant Structural Complexity Using an Image-Based Structural Complexity Index (SCI). .- Enhancing UPI Transactions Fraud Detection with Machine Learning and Biometric Authentication. .- Detect Before Decay: Early Diagnosis of Dental Caries via Intraoral Scans. .- An Explainable Deep Learning Framework for Banana Leaf Disease Detection and Analysis. .- Explainability-Driven Multimodal Glioma Segmentation Using a Hybrid CNN-Transformer Architecture and IoU-Based Attribution Analysis. .- Graph-Based Classification of Lung Cancer Histopathology Using SimCLR Feature Extraction and Graph Attention Networks. .- Deep Liveness: Face Liveness Detection Using a Lightweight U-Net-Based Deep Architecture. .- Enhancing Latent Fingerprint Quality Assessment Using a Deep Learning Pipeline. .- A Proximal Approach to Image Deconvolution under Mixed Poisson-Gaussian Noise. .- Adversarial Representation Learning for Presentation Attack Detection on Face Recognition Systems. .- A Classifier for Spinal Tumors using Novel Data Augmentation. .- Brain Tumor Extraction using Adaptive Non convex and Superpixel Motion Detection. .- SRSegFormer: Joint Super-Resolution and Segmentation Framework for Fine-Scale Root Phenotyping. .- Robust Spatial Enhancement of ASL-MRI based on 3DFSRCNN Framework. .- Sign Language Translation Using Multi-Modal Transformer Network. .- Sensei: Assistive Real-Time Perception for Visually Impaired Users with Depth-Aware Object and Face Recognition. .- Stacked Ensemble Learning for Global Crop Yield Prediction: A Comparative Study of Machine Learning Techniques. .- Protein Methylation Site Prediction based on spatial feature of Amino Acids using SMOTE and Stratified Cross-Validation.

      



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