Sustainable iot data analytics (26 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Unlock the secrets to revolutionizing your industrial operations with cutting-edge smart sensors and IoT systems. Transform your data collection and monitoring capabilities into powerful tools for efficiency and innovation. This comprehensive guide is your key to mastering advanced sensor networks and driving unprecedented growth in your industry. Begin your journey towards smarter, data-driven decision-making by exploring the vital components of smart sensor systems. Witness your ability to enhance productivity magnify, as your understanding of IoT ecosystems evolves. Discover the essential strategies and real-world applications that will propel your insights beyond traditional limitations. In today's fast-paced technological landscape, the need for streamlined industrial monitoring is greater than ever. Equip yourself with the knowledge and confidence to implement IoT and sensor networks with precision and effectiveness. Value lies in clear instruction and practical guidance, enabling seamless integration of smart technologies within existing frameworks. Experience the transformation of your operational efficiency through actionable insights gained from this expertly crafted resource. Additional benefits include enlightened perspectives on energy efficiency and security protocols, essential for safeguarding your networks against potential challenges. Furthermore, you'll uncover the expansive opportunities presented by the integration of AI and machine learning within sensor ecosystems.» Implement state-of-the-art sensor systems effortlessly» Maximize real-time data for actionable insights» Master energy efficiency with innovative solutions» Defend your networks with vetted security protocols» Build robust IoT ecosystems with strategic guidance» Eliminate operational inefficiencies through targeted strategies>With over 25 years of experience in the ICT field, the author brings unparalleled expertise and a track record of industry leadership. Seize this opportunity to enhance your professional journey and secure your place at the forefront of smart sensor technology with 'Industrial Sensor Systems.'.…

Zustand: New. Print on Demand.

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. Print on Demand.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: NEW.

Hardcover. Zustand: Brand New. 350 pages. 9.25x6.10x9.49 inches. In Stock.

Zustand: New. This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the comple.

Hardcover. Zustand: new. Hardcover. This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, braincomputer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery. This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Zustand: Neu. Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications | V. Ajantha Devi | Taschenbuch | Contributions to Environmental Sciences & Innovative Business Technology | vii | Englisch | 2025 | Springer | EAN 9789819753673 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery. …

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.…

Zustand: New. 2024th edition NO-PA16APR2015-KAP.

Hardcover. Zustand: Brand New. 350 pages. 9.25x6.10x9.49 inches. In Stock.

Zustand: new. Questo è un articolo print on demand.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

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

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery. 184 pp. Englisch.…

Buch. Zustand: Neu. Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications | V. Ajantha Devi | Buch | Contributions to Environmental Sciences & Innovative Business Technology | vii | Englisch | 2024 | Springer | EAN 9789819753642 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. …

Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain¿computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 184 pp. Englisch.…

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 184 pp. Englisch.…

Zustand: New. Print on Demand.

Zustand: New. PRINT ON DEMAND.