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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierEtat : New. In.
Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 6200480400 ISBN 13 : 9786200480408
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierPaperback. Etat : Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Ajouter au panierHRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Ajouter au panierEtat : New. Print on Demand.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : New. PRINT ON DEMAND.
Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2019
ISBN 10 : 6200480400 ISBN 13 : 9786200480408
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the medical field, data is increasingly growing and traditional methods cannot manage them efficiently. In the computational biomedical, the continuous challenges are management, analysis, and storage of the biomedical data. Nowadays, big data technology plays a significant role in the management, organization, and analysis of the data using machine learning and artificial intelligence techniques. It becomes very important to develop methods and/or architectures based on big data technologies for complete processing of biomedical images data. In this thesis, we propose a complete and optimal workflow based on big data technology and optimal algorithms drawn from literature to manage biomedical images. Compression step within the proposed optimal workflow will be considered as a study case implementing big data analysis technology. The proposed workflow implements an image compression algorithm for biomedical images, which is based on three main steps, orthogonal transform, vector quantization using machine learning and entropy encoding. The proposed algorithm allows us to develop appropriate and efficient methods to leverage a large number of images into the proposed workflow.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierBuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Special Issue, Biomedical Applications of Big Data and Artificial Intelligence, explores the transformative role of AI and big data in biomedical research and healthcare. This volume features 14 rigorously reviewed studies covering topics such as disease diagnosis, medical image processing, survival prediction, cognitive load assessment, and medical knowledge extraction. By integrating AI-driven methodologies with big data analytics, these studies aim to enhance diagnostic accuracy, medical efficiency, and personalized treatment planning.Bridging the gap between AI-driven analytics and real-world medical applications, this reprint provides researchers, practitioners, and healthcare professionals with cutting-edge insights and methodologies. By collating studies exploring research areas including deep learning models for pathology segmentation, wearable ECG systems, or graph-based neural networks for patient monitoring, this collection presents a comprehensive overview of the latest advancements in AI-powered biomedical solutions. It is an essential resource for those interested in the intersection of data science, AI, and medicine, paving the way for future breakthroughs in healthcare technology.
Vendeur : preigu, Osnabrück, Allemagne
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Ajouter au panierBuch. Etat : Neu. Biomedical Application of Big Data and Artificial Intelligence | Buch | Englisch | 2025 | MDPI AG | EAN 9783725835690 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.