Titlebook: Soft Computing: Theories and Applications; Proceedings of SoCTA Rajesh Kumar,Ajit Kumar Verma,Tanu Wadehra Conference proceedings 2024 The

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,ViT-ALZ: Vision Transformer with?Deep?Neural Network for?Alzheimer’s Disease Detection,trics: accuracy, sensitivity, specificity, precision, .1-score, and Kappa values are 97.65%, 97.85%, 97.92%, 96.86%, 97.65%, and 95.19%, respectively, on the Kaggle AD dataset. This research underscores the value of deep learning and MRI images in effectively classifying AD, highlighting their potential for early diagnosis and care.

Indent

Conference proceedings 2024lthcare, to supply chain management, image processing, and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2023), held at Indian Institute of Information Technology (IIIT) Una, Himachal Pradesh, India, during

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Conference proceedings 2024Soft Computing: Theories and Applications (SoCTA 2023), held at Indian Institute of Information Technology (IIIT) Una, Himachal Pradesh, India, during 21–23 December 2023. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field..

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NAUT

,Exploration of Coarse-Graining and Threshold Selection of Lempel–Ziv Complexity on Vibroarthrographram (EEG), Electromyogram (EMG), etc. But LZC is not yet used for analyzing Vibroarthrography (VAG) signals. We study the performance of LZC as compared to other non-stationary measures used in literature like fractal dimension and approximate entropy and observed that LZC offers superior performanc

捕鯨魚(yú)叉

Image Super Resolution Using Extensive Residual Network (ERN) for Orange Fruit Disease Detection,crop health and productivity. Fast and accurate results aid farmers in controlling diseases and ensuring healthy crops. This paper proposes the extensive residual network (ERN) model for generating high-resolution images and identifying diseases from low-resolution orange fruit images. The ERN model

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