Published by World Scientific Pub Co Inc, 1993
ISBN 10: 9810210566 ISBN 13: 9789810210564
Language: English
Seller: suffolkbooks, Center moriches, NY, U.S.A.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by World Scientific Pub Co Inc, 1993
Seller: mountain, GEORGETOWN, CO, U.S.A.
hardcover. Condition: Good. Ex-Library hardcover book no dust jacket, usual library marks, has some light reader wear;
Seller: Red's Corner LLC, Tucker, GA, U.S.A.
Condition: LikeNew. All orders ship by next business day! This is a used hardcover book. Book has wear due to handling. Book has no markings on pages. For USED books, we cannot guarantee supplemental materials such as CDs, DVDs, access codes and other materials. We are a small company and very thankful for your business!
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Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
Condition: New.
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Condition: New.
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Seller: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, United Kingdom
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Seller: Open Books, Chicago, IL, U.S.A.
hardcover. Condition: New. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.
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Published by Information Science Reference, 2008
ISBN 10: 1599047055 ISBN 13: 9781599047058
Language: English
Seller: Basi6 International, Irving, TX, U.S.A.
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Seller: Majestic Books, Hounslow, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
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Published by LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207483995 ISBN 13: 9786207483990
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Advanced Techniques in Plant Health Detection: Leveraging Artificial Intelligence and Machine Learning explores cutting-edge methods for monitoring and diagnosing plant health using AI and ML technologies. The text delves into how these techniques enhance early detection of diseases, pests, and stressors in crops, enabling proactive measures for crop protection and yield optimization. By harnessing AI and ML algorithms, agricultural stakeholders can improve efficiency, accuracy, and sustainability in plant health management, thereby contributing to global food security and agricultural resilience.
Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Seller: Lucky's Textbooks, Dallas, TX, U.S.A.
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Published by CRC Press 2020-11-06, 2020
ISBN 10: 0367456370 ISBN 13: 9780367456375
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
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Published by Springer Nature Switzerland, Springer Nature Switzerland, 2025
ISBN 10: 3031538560 ISBN 13: 9783031538568
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book explores how modern technologies, including artificial intelligence and neural networks, are being used to enhance cybersecurity. In today's world, the development of the Internet is nothing short of transformative, affecting every aspect of our lives. Ensuring the safety of its users is a paramount concern, and it requires a diverse set of disciplines to address. Researchers from various fields, including IT, mathematics, psychology, and medicine, are collectively working to tackle this interdisciplinary challenge. The significance of this issue has been magnified by the COVID-19 pandemic, which forced many aspects of our lives into the digital realm, from online payments to remote work and education. This shift brought new security challenges, with data privacy and system integrity taking center stage. It delves into the intricacies of Big Data by having to analyze an immense volume of network traffic data that can only be effectively analyzed with specialized tools. Real-time threat detection is critical, and the book sheds light on cutting-edge approaches to achieving this goal. The content of the book covers a broad spectrum of topics related to IT system security, from user and system profiling to preventing data leaks and defending against phishing attacks. Additionally, innovative concepts such as 'glial networks' are introduced, offering new ways to interpret knowledge stored in convolutional networks. These solutions are not limited to security alone; they have applications across various domains. The book highlights the advantages of these cutting-edge approaches over existing methods, demonstrating their relevance to large corporations, public institutions, schools, small businesses, and households. In a world where security threats are constantly evolving, this book is a valuable resource for understanding the dynamic landscape of network security and the role of artificial intelligence in safeguarding our digital ecosystems.
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Seller: Books Puddle, New York, NY, U.S.A.
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Seller: Mispah books, Redhill, SURRE, United Kingdom
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Published by Our Knowledge Publishing, 2024
ISBN 10: 6207521099 ISBN 13: 9786207521098
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Voice signal processing is crucial for understanding speaker identity and detecting certain neurological diseases such as Alzheimer's disease, depression and Parkinson's disease. This book highlights innovative methods based on speech signal processing to distinguish people with Parkinson's disease from healthy individuals. Accurate diagnosis is essential in the medical field, as it represents a crucial step towards recovery. To achieve this accuracy, the book is based on understanding the properties of the speech signal, extracting its features and analyzing them from multiple voice samples. A vector of features is then tested by a supervised classifier, selecting the most significant features to improve the Parkinson's disease diagnostic system. The results show that this method is effective in improving the quality of diagnosis in Parkinson's patients.Keywords: Parkinson's disease, voice signal processing, voice processing, wraparound methods, Machine learning.