Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Mär 2024, 2024
ISBN 10: 6207475682 ISBN 13: 9786207475681
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -Alzheimer Disease primarily known as AD is a neuro degenerative disorder disease which destroys the cognitive function of the brain and also decreases the brain memory. This work offers a thorough exploration of the utilization of a hybrid classical ml models for AD prediction. Through the combination of various algorithms, these hybrid models strive to enhance prediction accuracy and robustness. The research also addresses the challenge of plagiarism by adhering to ethical guidelines and ensuring the originality of work. The work encompasses an analysis of the classical ml algorithms, the development of hybrid models, experimental results, and the discussion of findings. Additionally, relevant figures and illustrations are included to enhance understanding and provide visual representation of the research outcomes. Ml offers the potential for improving AD. The performance of the hybrid model was calculated using classification report and accuracy metrics. Developing an AD predictive model involves essential steps like pre-processing, feature extraction, and classification.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207475682 ISBN 13: 9786207475681
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Unified Approach for Alzheimer's Prediction | Hybridized ML Classification Algorithms | Birinderjit Singh Kalyan | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207475681 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Mrz 2024, 2024
ISBN 10: 6207475682 ISBN 13: 9786207475681
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 43,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch.
Lingua: Inglese
Editore: LAP Lambert Academic Publishing, 2024
ISBN 10: 6207475682 ISBN 13: 9786207475681
Da: moluna, Greven, Germania
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Alzheimer Disease primarily known as AD is a neuro degenerative disorder disease which destroys the cognitive function of the brain and also decreases the brain memory. This work offers a thorough exploration of the utilization of a hybrid classical ml mode.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207475682 ISBN 13: 9786207475681
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 44,59
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Alzheimer Disease primarily known as AD is a neuro degenerative disorder disease which destroys the cognitive function of the brain and also decreases the brain memory. This work offers a thorough exploration of the utilization of a hybrid classical ml models for AD prediction. Through the combination of various algorithms, these hybrid models strive to enhance prediction accuracy and robustness. The research also addresses the challenge of plagiarism by adhering to ethical guidelines and ensuring the originality of work. The work encompasses an analysis of the classical ml algorithms, the development of hybrid models, experimental results, and the discussion of findings. Additionally, relevant figures and illustrations are included to enhance understanding and provide visual representation of the research outcomes. Ml offers the potential for improving AD. The performance of the hybrid model was calculated using classification report and accuracy metrics. Developing an AD predictive model involves essential steps like pre-processing, feature extraction, and classification.