artificial intelligence techniques advanced (106 risultati)

IX, 382 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

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hardcover. Condizione: Very Good. Fast Shipping - Safe and Secure 7 days a week!

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hardcover. Condizione: Good. Ex-Library hardcover book no dust jacket, usual library marks, has some light reader wear;

hardcover. Condizione: 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.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents research in artificial techniques using intelligence for energy transition, outlining several applications including production systems, energy production, energy distribution, energy management, renewable energy production, cyber security, industry 4.0 and internet of things etc. The book goes beyond standard application by placing a specific focus on the use of AI techniques to address the challenges related to the different applications and topics of energy transition. The contributions are classified according to the market and actor interactions (service providers, manufacturers, customers, integrators, utilities etc.), to the SG architecture model (physical layer, infrastructure layer, and business layer), to the digital twin of SG (business model, operational model, fault/transient model, and asset model), and to the application domain (demand side management, load monitoring, micro grids, energy consulting (residents, utilities), energy saving, dynamic pricing revenue management and smart meters, etc.).

Condizione: New.

Taschenbuch. Condizione: 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.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book features a collection of high-quality research papers presented at the International Conference on Advanced Computing Technology (ICACT 2020), held at the SRM Institute of Science and Technology, Chennai, India, on 23-24 January 2020. It covers the areas of computational intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in networking, IoT and bioinformatics.

Taschenbuch. Condizione: 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.

Buch. Condizione: 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.

Hardcover. Condizione: New.

Hardcover. Condizione: Brand New. 366 pages. 9.25x6.10x9.49 inches. In Stock.

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Paperback. Condizione: Like New. Like New. book.

Taschenbuch. Condizione: 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.