Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9785807826060
Quantity: Over 20 available
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 Inventory # L0-9785807826060
Quantity: Over 20 available
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. 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 Inventory # L0-9785807826060
Quantity: Over 20 available
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In. Seller Inventory # ria9785807826060_new
Quantity: Over 20 available
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. Seller Inventory # 26397255256
Quantity: 4 available
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand. Seller Inventory # 400170375
Quantity: 4 available
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND. Seller Inventory # 18397255250
Quantity: 4 available
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. 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 Inventory # 9785807826060
Quantity: 2 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. 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. Seller Inventory # 9785807826060
Quantity: 1 available