ISBN: 9786208421304 - diagnostic techniques for (eus) utilizing ai and machine learning: dteam (10 resultados)

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Diagnostic Techniques for (EUS) Utilizing AI and Machine Learning | DTEAM | Podeti Koteshwar Rao | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208421304 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Epizootic Ulcerative Syndrome (EUS) is a critical disease that afflicts freshwater fish, marked by ulcerative lesions and elevated death rates, hence hurting aquaculture companies worldwide. Timely and precise identification is crucial to halt the dissemination of EUS and mitigate financial damages. Conventional techniques, including eye inspection and histopathological analysis, tend to be laborious, expensive, and may exhibit insufficient sensitivity. Artificial intelligence (AI) methodologies, particularly machine learning and deep learning models, provide effective solutions for swift and precise EUS identification through the analysis of pictures, environmental data, and outbreak-associated patterns. This research investigates the utilization of AI methodologies for the detection of EUS in freshwater fish, emphasizing techniques, model precision, and practical ramifications. Our research indicates that AI enhances EUS detection rates, facilitating more efficient disease control in aquaculture.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Epizootic Ulcerative Syndrome (EUS) is a critical disease that afflicts freshwater fish, marked by ulcerative lesions and elevated death rates, hence hurting aquaculture companies worldwide. Timely and precise identification is crucial to halt the dissemination of EUS and mitigate financial damages. Conventional techniques, including eye inspection and histopathological analysis, tend to be laborious, expensive, and may exhibit insufficient sensitivity. Artificial intelligence (AI) methodologies, particularly machine learning and deep learning models, provide effective solutions for swift and precise EUS identification through the analysis of pictures, environmental data, and outbreak-associated patterns. This research investigates the utilization of AI methodologies for the detection of EUS in freshwater fish, emphasizing techniques, model precision, and practical ramifications. Our research indicates that AI enhances EUS detection rates, facilitating more efficient disease control in aquaculture.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.…