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  • Proceedings of International Symposium on Innovations in Computer Vision and Applications: ISICVA 2025, Volume 1

    Proceedings of International Symposium on Innovations in Computer Vision and Applications by Londhe, Narendra D.; Kar, Chinmoy; Fong, Simon James;

    ISICVA 2025, Volume 1

    Series: Lecture Notes in Networks and Systems;

      • GET 12% OFF

      • Publisher's listprice EUR 235.39
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        91 943 Ft (87 565 Ft + 5% VAT)
      • Discount 12% (cc. 11 033 Ft off)
      • Discounted price 80 910 Ft (77 057 Ft + 5% VAT)

    80 910 Ft

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    Long description:

    This book presents best-selected papers presented at International Symposium on Innovations in Computer Vision and Applications (ISICVA 2025), organized by Department of Computer Science & Engineering, Techno International New Town, Kolkata, West Bengal, India, from 28–29 November 2025. The book targets the current research works in the areas of computer vision, image processing, pattern recognition, advanced computing, artificial intelligence, and related application areas.

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    Table of Contents:

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    Cardiac Disease Detection from Electrocardiogram Signals Using Transformers: A Multimodal Deep Learning Approach.- PathFormer: An Attention-Focused Hierarchical CNN for Histopathological Lung and Colon Cancer Classification with XAI.- Assessment and Visualization of Representation of User Acceptance and Integration Success for a Complex Enterprise System within Hotel Reservation Ticket Management.- Evaluating the Predictive Power of Behavioral Features in Type 1 Diabetes Using Deep Learning Models.- Analyzing Public Opinion on Policies Using NLP.- Enhanced Endoscopic Techniques for Gastrointestinal Tumor Resection Using Augmented Reality and AI.- DyslexiaLens: An AI-Powered System for Accessible Text Adaptation.

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