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Herausgeber: 
  • R. Balasubramanian
  • Santosh Kumar Vipparthi
  • Subrahmanyam Murala
  • Deep Gupta
  • Jagadeesh Kakarla
  • Computer Vision and Image Processing: 9th International Conference, CVIP 2024, Chennai, India, December 19–21, 2024, Revised Selected Papers, Part IV 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juli 2025  
    Genre:  EDV / Informatik 
     
    Artificial Intelligence / Computer Application in Social and Behavioral Sciences / Computer Imaging, Vision, Pattern Recognition and Graphics / Computer Vision / Computers and Education / Computersicherheit / Data and Information Security / Deep Learning
    ISBN:  9783031936968 
    EAN-Code: 
    9783031936968 
    Verlag:  Springer International Publishing 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  470 
    Illustration:  XXIV, 470 p. 203 illus., 156 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:
    .- Analysis of Chromatic Response of EEG Signals Induced for Primary Color Visualization. .- ReConfNET: Confidence-Driven Hierarchical Indoor Scene Reconstruction. .- On Tree Mango Fruit Yield Estimation using Graph Cuts and Depth First Search. .- Leveraging GANs for Chest X-ray Image Synthesis. .- Early Violence Recognition using Knowledge Distillation. .- MiXceptionLeaf: A Novel Model for Cassava Leaf Disease Classification Using XceptionNet and ConvMixer Layer. .- Optimizing Image Captioning using BLIP Framework with Advanced Processing of DWT LL Band-Compressed Images. .- Robust Denoising in Fringe Projection Profilometry: A Poissonian-Gaussian Approachwith Lightweight Neural Networks. .- A retinex driven fractional-order regularization model for despeckling and enhancing of Synthetic Aperture Radar images. .- Customized Self-Configuring U-Net Framework for Anatomical Lesion Segmentation in Post-Stroke Brain MRI. .- Plant Leaf Diseases classification using Knowledge Distillation Methodologies. .- TDIUC-AVQA: A Visual Question Answering Dataset in Low-Resource Assamese Language. .- Joint compression of multi-model systems for edge devices. .- VLRASN-112: A Visual Lip Reading Dataset for Assamese Compound Numeric Sequence Recognition. .- Multimodal Deep Learning Framework for Skin Lesion Classification. .- Enhancing Diagnostic Precision: AI-Based Differentiation of Brain Tumors and Multiple Sclerosis. .- CubeMin: Fingerprint Indexing Scheme using Pairwise Minutia Feature in Cubic Space. .- Unconstrained Low-Resolution Face Recognition using Attention Network and Resolution Aware Images. .- An Instance-Aware Attention Vision Transformer for Glaucoma Detection using Retinal Fundus Image Analysis. .- Improved Image data augmentation using Dynamic Mode Decomposition. .- Assessment of the Impact of D-Adaptation on Convolutional Image Classification. .- An Efficient Hybrid Feature Selection Approach for Offline Handwritten Mathematical Symbol Recognition. .- Single Image Super-Resolution: Use of Transformer with Multiple Attention modules. .- MSPlantNet: Plant Disease Classification using Few Shot Learning. .- PATROL’S PAL: Anomaly Face Recognition from Low-Quality CCTV Footage. .- Skeleton-Based Action Recognition - Dual Stream Learning of Discriminative Representations. .- Leveraging Biogeography-based Optimization for Band Selection in Hyperspectral Brain Imaging: a CNN-based Classification Framework. .- RWAEFA: Random Walk-based Artificial Electric Field Optimization Algorithm - An Application towards Feature Selection for Cytology Image Classification. .- Super-resolution Enhanced Tree Classification in Satellite Images Using Convolutional Neural Networks. .- Prediction of Short-Term Traffic Flow Using a Hybrid Architecture. .- Enhanced Semantic-Driven Anomaly Detection: A Multi-Class Strategy for Video Data. .- Activity Recognition in Smart Homes with Knowledge Graph and Attention-Guided Learning.

      



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