Description

Book Synopsis

1.Liver Tumor Segmentation using CBAM-U-NET.- 2. Comparative Analysis of Regression and Classification Approaches for Landmark Localization in Cephalometric Analysis.- 3. On the Planning, Search, and Memorization Capabilities of Large Language Models.- 4. An Efficient Parallel Ensemble Deep Classifier for the Prediction of Diabetic Disease.- 5. CNN Based Pest Detection and Recommender System for Plantain Trees.- 6. A Deep Dive into Smart Contracts and their Emerging Applications.- 7. VLSI implementation of secured S-Box design for light-weight block ciphers in low area applications.- 8. Semantic-Aware Image Filtering for Classification of Hyperspectral Images.- 9. Privacy-Preserving Speech Recognition System - A Conceptual Model.- 10.- A Novel Analysis and Classification of Pressure Ulcer Prediction for Coma Patients in ICU Using Deep Learning Techniques.- 11.- An Effective CNN based Indian Sign Language Recognition System using Federated Learning.- 12.- An Augmented Reality Mobile Application for Phobia Treatment.- 13.- Predator an Innovative Routing Protocol for Efficient Node Exploration and Faulty Link Detection in Wireless Sensor Network Environments.- 14.- Energy and Trust Aware Cluster-based Routing in WSN via Self-Improved Beluga Whale Optimization.- 15. Detection of Osteoporosis and Osteoarthritis using Deep Learning Algorithms.- 16. Detection of Multiple Ocular Diseases Using Machine Learning.- 17.- A Review on Lung Cancer Diagnosis and Prediction Techniques.- 18.- Short Review on Brain Activity Recognition via EEG signal.- 19. An Iterative Block Image Compressive Sensing Method for Hybrid TV Image De-Noising.- 20.- Design and Evaluation of Modified Distance Based Energy Efficient Extended Stable Election Protocol: EE-ESEP.

Proceedings of International Conference on Intelligent Vision and Computing ICIVC 2023

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A Hardback by Apu Kumar Saha

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    View other formats and editions of Proceedings of International Conference on Intelligent Vision and Computing ICIVC 2023 by Apu Kumar Saha

    Publisher: Springer
    Publication Date: 12/30/2024
    ISBN13: 9783031713903, 978-3031713903
    ISBN10: 3031713907

    Description

    Book Synopsis

    1.Liver Tumor Segmentation using CBAM-U-NET.- 2. Comparative Analysis of Regression and Classification Approaches for Landmark Localization in Cephalometric Analysis.- 3. On the Planning, Search, and Memorization Capabilities of Large Language Models.- 4. An Efficient Parallel Ensemble Deep Classifier for the Prediction of Diabetic Disease.- 5. CNN Based Pest Detection and Recommender System for Plantain Trees.- 6. A Deep Dive into Smart Contracts and their Emerging Applications.- 7. VLSI implementation of secured S-Box design for light-weight block ciphers in low area applications.- 8. Semantic-Aware Image Filtering for Classification of Hyperspectral Images.- 9. Privacy-Preserving Speech Recognition System - A Conceptual Model.- 10.- A Novel Analysis and Classification of Pressure Ulcer Prediction for Coma Patients in ICU Using Deep Learning Techniques.- 11.- An Effective CNN based Indian Sign Language Recognition System using Federated Learning.- 12.- An Augmented Reality Mobile Application for Phobia Treatment.- 13.- Predator an Innovative Routing Protocol for Efficient Node Exploration and Faulty Link Detection in Wireless Sensor Network Environments.- 14.- Energy and Trust Aware Cluster-based Routing in WSN via Self-Improved Beluga Whale Optimization.- 15. Detection of Osteoporosis and Osteoarthritis using Deep Learning Algorithms.- 16. Detection of Multiple Ocular Diseases Using Machine Learning.- 17.- A Review on Lung Cancer Diagnosis and Prediction Techniques.- 18.- Short Review on Brain Activity Recognition via EEG signal.- 19. An Iterative Block Image Compressive Sensing Method for Hybrid TV Image De-Noising.- 20.- Design and Evaluation of Modified Distance Based Energy Efficient Extended Stable Election Protocol: EE-ESEP.

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