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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:  9783032085108 
    EAN-Code: 
    9783032085108 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  482 
    Illustration:  XXII, 482 p. 217 illus., 198 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    .- A Lightweight System for Attention-based Night-time Traffic Accident Detection. .- Blind Spot Aware and Speed-Sensitive Emergency Vehicle Detection Using YOLO and Faster R-CNN Synergy. .- Explainable Parallel CNN Model with Dense-Squeeze and Excitation Blocks for Corn Leaf Disease Classification. .- Attention-Based Multi-patch Hierarchical Network with Non-local Information for Smartphone Image Denoising. .- Extractive Text Summarization using BERT with Weighted Pooling. .- Weighted TimeSformer Multi-Region CNN Network for Personalized and Context-aware Activity Localization in Ambient Assisted Living. .- Prediction of Direction-of-Arrival and Distance for Binaural Sound Sources Using a CRNN-Based Model. .- Automated Georeferencing of Topographic Maps via OCR and In-Context Multimodal LLM Reasoning. .- PinTags: A Visual Fiducial Marker System for Logistics. .- Deep Learning Approach based Object Detection in Underwater SONAR Images. .- PRISM: Progressive Regional Integration with Synergetic Multi-Attention Transformer for Single Image Super-Resolution. .- UnTherISR: Unsupervised Approach for Thermal Image Super-Resolution. .- MAMBA-TBPS: An Efficient Attribute-Relation-Sensitive Framework for Text-Based Person Search. .- Boosting MobileNet Performance on Embedded Systems Using SE Modules. .- ContextualVQA: An Efficient Ambient Assisted Monitoring framework Using Visual Question Answering. .- A Human Vision Neuroscience-Driven Deep Neural Framework for Change Detection in Underwater Scenes. .- Class-Agnostic Triple Attention Model Towards Optimization and Variable Rate Compression in Wildlife Camera Trap Images. .- Device-generalized representations for acoustic scene classification. .- Fake News Detection Using Cellular Automata And Deep Learning. .- Demystifying Transformer: A Case Study on Graph-Based Interpretability and Attention Layer Dynamics. .- A Quality-Guided Framework for Low-Light Underwater Image Enhancement Using Degradation Classification and Benchmark Evaluation. .- Dual-modal Fusion Deep Learning Network for Traffic Targets Detection of Autonomous Vehicles. .- Hybrid Deep Learning and Explainable AI Approach Towards Trustworthy EV Stock Predictions. .- WaterIDViT: Open Water Body Extraction in High-resolution Remote Sensing Images Using Vision Transformers. .- Vision-Based Underwater Docking Station Detection for Autonomous Underwater Vehicles. .- Real-Time Combat Training Analytics: Skeleton-based Temporal Action Localization in Unstructured Video. .- High-Precision Traffic Accident Detection Using YOLOv11 Model and Image Processing with Deep Learning Techniques. .- Late-Fusion-Based Hybrid Deep Learning Architectures for Malware Detection. .- AUSREGSE: Advanced Underwater Segmentation with ResNet50 with enhancement-guided Squeeze and Excitation Blocks. .- Improvisation of Yolov4 Algorithm for Multiple Object Tracking Using Kalman Filtering Hungarian Method. .- Saliency Guided Tile-Based Image Segmentation. .- Deep Image Prior-Based Segmentation: A Study and proposal of Deeper U-Net. .- Quantum Convolutional Neural Networks with Residual Learning: Advancing Quantum Model Architectures. .- Enhancing LSTM-based Piano Music Generation with Self-Attention on the Lakh MIDI Dataset.

      



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