Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 30.12
Convert currencyQuantity: Over 20 available
Add to basketCondition: New. In.
Condition: New.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
US$ 32.83
Convert currencyQuantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller: Majestic Books, Hounslow, United Kingdom
US$ 42.10
Convert currencyQuantity: 4 available
Add to basketCondition: New. Print on Demand.
Seller: Biblios, Frankfurt am main, HESSE, Germany
US$ 46.05
Convert currencyQuantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND.
Published by ARY Publisher Mär 2023, 2023
ISBN 10: 580782606X ISBN 13: 9785807826060
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
US$ 36.04
Convert currencyQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Ear biometrics is an emerging area of research that aims to develop accurate and reliable systems for identifying individuals based on the unique features of their ears. Soft computing techniques, such as machine learning, artificial intelligence, fuzzy logic, and neural networks, are increasingly being used in ear biometrics to extract and analyze ear features, patterns, and shapes. The use of soft computing techniques has led to the development of more accurate and robust ear recognition systems, with applications in security, authentication, and identification. The use of deep learning algorithms, coupled with large datasets of ear images, has shown promising results in improving the accuracy of ear biometrics, as well as reducing the impact of noise and other variations. Applications of soft computing in ear biometrics have important implications for privacy, as ear recognition systems can potentially be used for mass surveillance. Therefore, the development of accurate and reliable ear biometrics systems must be balanced with ethical considerations and legal regulations. Overall, the use of soft computing techniques in ear biometrics is an important area of research with significant potential for improving security and identification in various domains. 158 pp. Englisch.
Seller: AHA-BUCH GmbH, Einbeck, Germany
US$ 43.39
Convert currencyQuantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Ear biometrics is an emerging area of research that aims to develop accurate and reliable systems for identifying individuals based on the unique features of their ears. Soft computing techniques, such as machine learning, artificial intelligence, fuzzy logic, and neural networks, are increasingly being used in ear biometrics to extract and analyze ear features, patterns, and shapes. The use of soft computing techniques has led to the development of more accurate and robust ear recognition systems, with applications in security, authentication, and identification. The use of deep learning algorithms, coupled with large datasets of ear images, has shown promising results in improving the accuracy of ear biometrics, as well as reducing the impact of noise and other variations. Applications of soft computing in ear biometrics have important implications for privacy, as ear recognition systems can potentially be used for mass surveillance. Therefore, the development of accurate and reliable ear biometrics systems must be balanced with ethical considerations and legal regulations. Overall, the use of soft computing techniques in ear biometrics is an important area of research with significant potential for improving security and identification in various domains.