Beakers bay (31 resultados)
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 32,00
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Condición: New.
Editorial: Beakers Bay, 2026
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 28,02
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Editorial: Beakers Bay, 2026
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 28,02
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Editorial: Beakers Bay, 2026
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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EUR 33,75
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Paperback. Condición: Brand New. 158 pages. 6.00x0.34x9.00 inches. In Stock.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 31,47
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Paperback. Condición: new. Paperback. Wireless sensor networks (WSNs) have become an essential enabling technology for modern monitoring and data collection across environmental observation, industrial automation, smart agriculture, healthcare, infrastructure monitoring, and Internet of Things (IoT) applications. Because sensor…nodes typically operate with limited processing capability, constrained memory, and finite battery power, energy-efficient communication and data aggregation remain fundamental challenges in extending network lifetime while maintaining reliable performance.SO-SNAP for Energy-Efficient Data Aggregation in Wireless Sensor Networks presents a focused exploration of energy-aware data aggregation strategies within wireless sensor networks, emphasizing the role of the SO-SNAP approach in improving communication efficiency and reducing unnecessary energy consumption. The book examines the principles of data collection, aggregation techniques, routing considerations, and network organization that influence the overall performance and longevity of distributed sensor systems.Beginning with the fundamentals of wireless sensor network architecture, the discussion introduces the characteristics of sensor nodes, wireless communication, topology design, clustering concepts, and energy consumption models. It then explores how efficient aggregation mechanisms help minimize redundant transmissions, optimize bandwidth utilization, reduce communication overhead, and improve overall network scalability.The book also considers the practical challenges associated with resource-constrained wireless sensor networks, including limited battery capacity, communication reliability, node deployment, scalability, and network lifetime. It discusses the importance of selecting appropriate aggregation methods that balance energy efficiency with data accuracy and communication performance while supporting distributed sensing environments.Readers are introduced to the broader context of energy-aware networking, where routing strategies, cluster organization, aggregation scheduling, and network management collectively contribute to efficient operation. The SO-SNAP methodology is presented within this context as a representative approach to improving data aggregation efficiency while addressing the operational constraints commonly encountered in wireless sensor networks.Throughout the text, technical concepts are explained using clear engineering terminology appropriate for students, researchers, and professionals working in wireless communication, embedded systems, sensor technologies, computer networks, and Internet of Things applications. The material provides readers with a structured understanding of how energy-efficient aggregation techniques contribute to sustainable network operation and improved resource utilization. SO-SNAP for Energy-Efficient Data Aggregation in Wireless Sensor Networks introduces the principles of energy-efficient communication and data aggregation in wireless sensor networks. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editorial: Beakers Bay, 2026
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 42,96
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Paperback. Condición: new. Paperback. The Internet of Things (IoT) has transformed the way individuals, businesses, and industries interact with technology by connecting everyday devices through intelligent digital networks. From smart homes and wearable devices to healthcare systems, manufacturing, transportation, agriculture,…and smart cities, IoT services continue to reshape modern life. However, the successful adoption of IoT technologies depends not only on technological innovation but also on users' willingness to embrace and continuously use these services. Among the many factors influencing technology acceptance, effort expectancy-the degree to which users perceive a technology as easy to learn and use-plays a critical role in shaping behavioral intentions toward IoT services. Research based on the Unified Theory of Acceptance and Use of Technology (UTAUT) consistently identifies effort expectancy as one of the major determinants of technology adoption, although its influence may vary across contexts.Effort Expectancy and Behavioral Intentions Toward IoT Services provides a comprehensive exploration of the relationship between perceived ease of use and users' intentions to adopt Internet of Things technologies. The book introduces readers to the theoretical foundations of technology acceptance models, including the Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM), and related behavioral frameworks that explain how users evaluate emerging technologies. It examines how effort expectancy interacts with performance expectancy, social influence, facilitating conditions, trust, perceived risk, privacy concerns, and user experience to influence the acceptance of IoT services across different environments.The book discusses IoT applications in consumer electronics, smart homes, healthcare, education, industrial automation, retail, logistics, transportation, agriculture, and smart city infrastructures. It explores how intuitive system design, user-friendly interfaces, accessibility, digital literacy, and service quality contribute to improved user satisfaction and long-term adoption. Readers gain insight into the practical challenges organizations face when deploying IoT solutions and the strategies that can enhance user confidence, trust, and engagement. Effort Expectancy and Behavioral Intentions Toward IoT Services examines how perceived ease of use influences the adoption of Internet of Things technologies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editorial: Beakers Bay Aug 2026, 2026
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 32,20
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Hybrid AI Frameworks for Intelligent Video Surveillance Systems explores the integration of artificial intelligence, machine learning, deep learning, and computer vision for the development of intelligent video surveillance systems.… The book examines how modern AI techniques can transform conventional video monitoring into automated systems capable of analyzing visual information, recognizing patterns, and supporting real-time decision-making.The book introduces fundamental concepts in intelligent video analytics, image and video processing, computer vision, machine learning, and deep learning. It discusses hybrid AI frameworks that combine multiple computational approaches to improve the analysis of surveillance footage, including object detection, activity recognition, visual classification, and event analysis.Particular attention is given to the development of intelligent surveillance pipelines, including video data acquisition, preprocessing, feature extraction, model training, classification, detection, and performance evaluation. The book also considers practical challenges associated with real-world surveillance environments, including large-scale video data, varying lighting conditions, complex scenes, system reliability, and real-time processing requirements.By connecting hybrid artificial intelligence techniques with intelligent video surveillance, this book provides a useful reference for students, researchers, data scientists, computer vision professionals, security technology specialists, and practitioners working in artificial intelligence and video analytics. It is particularly relevant to readers interested in developing automated and intelligent systems for visual monitoring, event detection, and security-oriented applications. 150 pp. Englisch.
Editorial: Beakers Bay Aug 2026, 2026
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 32,10
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 132 pp. Englisch.
Editorial: Beakers Bay Aug 2026, 2026
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 32,30
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 150 pp. Englisch.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 33,10
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Taschenbuch. Condición: Neu. Aerodynamic and Stability Analysis of Unmanned Aerial Vehicle Swarms | Rajesh | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798240827143 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 33,40
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Taschenbuch. Condición: Neu. SO-SNAP for Energy-Efficient Data Aggregation in Wireless Sensor Networks | Cian John | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798349529962 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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EUR 37,20
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Taschenbuch. Condición: Neu. Experimental Fatigue Life Estimation of OWC Using Accelerated Life Testing | Vinod Mehra | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798240827136 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Editorial: Beakers Bay Aug 2026, 2026
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 36,70
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 184 pp. Englisch.
Editorial: Beakers Bay
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 30,00
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Advanced Hybrid Frameworks for Aspect-Level Sentiment Analytics explores advanced computational approaches for analyzing opinions, emotions, and sentiments associated with specific aspects of products, services, topics, and entities. The… book focuses on aspect-level sentiment analysis, where individual components of a text are identified and their corresponding sentiment orientations are determined.The book introduces key concepts in natural language processing, sentiment analysis, machine learning, and deep learning, with particular emphasis on hybrid frameworks that combine multiple computational techniques to improve sentiment classification and analytical performance. It discusses approaches for text preprocessing, aspect extraction, feature representation, sentiment classification, model development, and performance evaluation.Particular attention is given to the integration of machine learning and deep learning methods for extracting meaningful information from complex textual data. The book examines challenges such as contextual language, linguistic variation, ambiguous expressions, and the identification of sentiment toward specific aspects within a sentence or document.By bringing together aspect-level sentiment analytics and hybrid intelligent frameworks, this book provides a useful reference for students, researchers, data scientists, artificial intelligence professionals, and practitioners working in natural language processing, text mining, opinion mining, and data analytics. It is especially relevant to readers interested in developing intelligent systems for extracting fine-grained insights from large volumes of textual information.
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 54,10
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Taschenbuch. Condición: Neu. Effort Expectancy and Behavioral Intentions Toward IoT Services | Jokinen Riyan | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798256208424 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Editorial: Beakers Bay
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 32,30
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Editorial: Beakers Bay
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 35,00
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Hybrid AI Frameworks for Intelligent Video Surveillance Systems explores the integration of artificial intelligence, machine learning, deep learning, and computer vision for the development of intelligent video surveillance systems. The…book examines how modern AI techniques can transform conventional video monitoring into automated systems capable of analyzing visual information, recognizing patterns, and supporting real-time decision-making.The book introduces fundamental concepts in intelligent video analytics, image and video processing, computer vision, machine learning, and deep learning. It discusses hybrid AI frameworks that combine multiple computational approaches to improve the analysis of surveillance footage, including object detection, activity recognition, visual classification, and event analysis.Particular attention is given to the development of intelligent surveillance pipelines, including video data acquisition, preprocessing, feature extraction, model training, classification, detection, and performance evaluation. The book also considers practical challenges associated with real-world surveillance environments, including large-scale video data, varying lighting conditions, complex scenes, system reliability, and real-time processing requirements.By connecting hybrid artificial intelligence techniques with intelligent video surveillance, this book provides a useful reference for students, researchers, data scientists, computer vision professionals, security technology specialists, and practitioners working in artificial intelligence and video analytics. It is particularly relevant to readers interested in developing automated and intelligent systems for visual monitoring, event detection, and security-oriented applications.
Editorial: Beakers Bay
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 35,00
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Editorial: Beakers Bay, 2026
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 32,48
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Paperback. Condición: new. Paperback. Wireless sensor networks (WSNs) have become an essential enabling technology for modern monitoring and data collection across environmental observation, industrial automation, smart agriculture, healthcare, infrastructure monitoring, and Internet of Things (IoT) applications. Because sensor…nodes typically operate with limited processing capability, constrained memory, and finite battery power, energy-efficient communication and data aggregation remain fundamental challenges in extending network lifetime while maintaining reliable performance.SO-SNAP for Energy-Efficient Data Aggregation in Wireless Sensor Networks presents a focused exploration of energy-aware data aggregation strategies within wireless sensor networks, emphasizing the role of the SO-SNAP approach in improving communication efficiency and reducing unnecessary energy consumption. The book examines the principles of data collection, aggregation techniques, routing considerations, and network organization that influence the overall performance and longevity of distributed sensor systems.Beginning with the fundamentals of wireless sensor network architecture, the discussion introduces the characteristics of sensor nodes, wireless communication, topology design, clustering concepts, and energy consumption models. It then explores how efficient aggregation mechanisms help minimize redundant transmissions, optimize bandwidth utilization, reduce communication overhead, and improve overall network scalability.The book also considers the practical challenges associated with resource-constrained wireless sensor networks, including limited battery capacity, communication reliability, node deployment, scalability, and network lifetime. It discusses the importance of selecting appropriate aggregation methods that balance energy efficiency with data accuracy and communication performance while supporting distributed sensing environments.Readers are introduced to the broader context of energy-aware networking, where routing strategies, cluster organization, aggregation scheduling, and network management collectively contribute to efficient operation. The SO-SNAP methodology is presented within this context as a representative approach to improving data aggregation efficiency while addressing the operational constraints commonly encountered in wireless sensor networks.Throughout the text, technical concepts are explained using clear engineering terminology appropriate for students, researchers, and professionals working in wireless communication, embedded systems, sensor technologies, computer networks, and Internet of Things applications. The material provides readers with a structured understanding of how energy-efficient aggregation techniques contribute to sustainable network operation and improved resource utilization. SO-SNAP for Energy-Efficient Data Aggregation in Wireless Sensor Networks introduces the principles of energy-efficient communication and data aggregation in wireless sensor networks. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editorial: Beakers Bay, 2026
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 44,81
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Paperback. Condición: new. Paperback. Wireless sensor networks (WSNs) have become an essential enabling technology for modern monitoring and data collection across environmental observation, industrial automation, smart agriculture, healthcare, infrastructure monitoring, and Internet of Things (IoT) applications. Because sensor…nodes typically operate with limited processing capability, constrained memory, and finite battery power, energy-efficient communication and data aggregation remain fundamental challenges in extending network lifetime while maintaining reliable performance.SO-SNAP for Energy-Efficient Data Aggregation in Wireless Sensor Networks presents a focused exploration of energy-aware data aggregation strategies within wireless sensor networks, emphasizing the role of the SO-SNAP approach in improving communication efficiency and reducing unnecessary energy consumption. The book examines the principles of data collection, aggregation techniques, routing considerations, and network organization that influence the overall performance and longevity of distributed sensor systems.Beginning with the fundamentals of wireless sensor network architecture, the discussion introduces the characteristics of sensor nodes, wireless communication, topology design, clustering concepts, and energy consumption models. It then explores how efficient aggregation mechanisms help minimize redundant transmissions, optimize bandwidth utilization, reduce communication overhead, and improve overall network scalability.The book also considers the practical challenges associated with resource-constrained wireless sensor networks, including limited battery capacity, communication reliability, node deployment, scalability, and network lifetime. It discusses the importance of selecting appropriate aggregation methods that balance energy efficiency with data accuracy and communication performance while supporting distributed sensing environments.Readers are introduced to the broader context of energy-aware networking, where routing strategies, cluster organization, aggregation scheduling, and network management collectively contribute to efficient operation. The SO-SNAP methodology is presented within this context as a representative approach to improving data aggregation efficiency while addressing the operational constraints commonly encountered in wireless sensor networks.Throughout the text, technical concepts are explained using clear engineering terminology appropriate for students, researchers, and professionals working in wireless communication, embedded systems, sensor technologies, computer networks, and Internet of Things applications. The material provides readers with a structured understanding of how energy-efficient aggregation techniques contribute to sustainable network operation and improved resource utilization. SO-SNAP for Energy-Efficient Data Aggregation in Wireless Sensor Networks introduces the principles of energy-efficient communication and data aggregation in wireless sensor networks. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editorial: Beakers Bay, 2026
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 51,13
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Paperback. Condición: new. Paperback. The Internet of Things (IoT) has transformed the way individuals, businesses, and industries interact with technology by connecting everyday devices through intelligent digital networks. From smart homes and wearable devices to healthcare systems, manufacturing, transportation, agriculture,…and smart cities, IoT services continue to reshape modern life. However, the successful adoption of IoT technologies depends not only on technological innovation but also on users' willingness to embrace and continuously use these services. Among the many factors influencing technology acceptance, effort expectancy-the degree to which users perceive a technology as easy to learn and use-plays a critical role in shaping behavioral intentions toward IoT services. Research based on the Unified Theory of Acceptance and Use of Technology (UTAUT) consistently identifies effort expectancy as one of the major determinants of technology adoption, although its influence may vary across contexts.Effort Expectancy and Behavioral Intentions Toward IoT Services provides a comprehensive exploration of the relationship between perceived ease of use and users' intentions to adopt Internet of Things technologies. The book introduces readers to the theoretical foundations of technology acceptance models, including the Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM), and related behavioral frameworks that explain how users evaluate emerging technologies. It examines how effort expectancy interacts with performance expectancy, social influence, facilitating conditions, trust, perceived risk, privacy concerns, and user experience to influence the acceptance of IoT services across different environments.The book discusses IoT applications in consumer electronics, smart homes, healthcare, education, industrial automation, retail, logistics, transportation, agriculture, and smart city infrastructures. It explores how intuitive system design, user-friendly interfaces, accessibility, digital literacy, and service quality contribute to improved user satisfaction and long-term adoption. Readers gain insight into the practical challenges organizations face when deploying IoT solutions and the strategies that can enhance user confidence, trust, and engagement. Effort Expectancy and Behavioral Intentions Toward IoT Services examines how perceived ease of use influences the adoption of Internet of Things technologies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editorial: Beakers Bay, 2026
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 70,69
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Paperback. Condición: new. Paperback. The Internet of Things (IoT) has transformed the way individuals, businesses, and industries interact with technology by connecting everyday devices through intelligent digital networks. From smart homes and wearable devices to healthcare systems, manufacturing, transportation, agriculture,…and smart cities, IoT services continue to reshape modern life. However, the successful adoption of IoT technologies depends not only on technological innovation but also on users' willingness to embrace and continuously use these services. Among the many factors influencing technology acceptance, effort expectancy-the degree to which users perceive a technology as easy to learn and use-plays a critical role in shaping behavioral intentions toward IoT services. Research based on the Unified Theory of Acceptance and Use of Technology (UTAUT) consistently identifies effort expectancy as one of the major determinants of technology adoption, although its influence may vary across contexts.Effort Expectancy and Behavioral Intentions Toward IoT Services provides a comprehensive exploration of the relationship between perceived ease of use and users' intentions to adopt Internet of Things technologies. The book introduces readers to the theoretical foundations of technology acceptance models, including the Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM), and related behavioral frameworks that explain how users evaluate emerging technologies. It examines how effort expectancy interacts with performance expectancy, social influence, facilitating conditions, trust, perceived risk, privacy concerns, and user experience to influence the acceptance of IoT services across different environments.The book discusses IoT applications in consumer electronics, smart homes, healthcare, education, industrial automation, retail, logistics, transportation, agriculture, and smart city infrastructures. It explores how intuitive system design, user-friendly interfaces, accessibility, digital literacy, and service quality contribute to improved user satisfaction and long-term adoption. Readers gain insight into the practical challenges organizations face when deploying IoT solutions and the strategies that can enhance user confidence, trust, and engagement. Effort Expectancy and Behavioral Intentions Toward IoT Services examines how perceived ease of use influences the adoption of Internet of Things technologies. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editorial: Beakers Bay, 2026
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 32,10
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Taschenbuch. Condición: Neu. Mechanical Properties and Characterization of Heat- Treated Alloys | Choti Bee | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798240816604 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Editorial: Beakers Bay, 2026
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EUR 32,20
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Taschenbuch. Condición: Neu. Advanced Hybrid Frameworks for Aspect-Level Sentiment Analytics | Keneddy Frown | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798240887987 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Editorial: Beakers Bay, 2026
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EUR 33,10
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Taschenbuch. Condición: Neu. Signet-CNN | A Deep Learning Model for Intelligent Data Classification: A Deep Learning Model for Intelligent Data Classification | Karol | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798869057273 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri…[dot]de | Anbieter: preigu Print on Demand.
Editorial: Beakers Bay, 2026
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EUR 33,20
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Taschenbuch. Condición: Neu. Hybrid AI Frameworks for Intelligent Video Surveillance Systems | Yahya | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798240888021 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Editorial: Beakers Bay, 2026
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EUR 33,30
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Taschenbuch. Condición: Neu. Modeling Noise in Recommender Systems | Tom Ford | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798256295981 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Editorial: Beakers Bay, 2026
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EUR 33,40
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Taschenbuch. Condición: Neu. Advanced Fault Location in Power Transmission Lines | Lokesh Yadav | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9781088162385 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Editorial: Beakers Bay, 2026
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 37,20
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Taschenbuch. Condición: Neu. Women's Health and Disease Risk A Comprehensive Study of Reproductive and Non Communicable Diseases | Kevin Kin | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798869057402 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu… Print on Demand.
Editorial: Beakers Bay, 2026
- Tapa blanda
- Impresión bajo demanda
Librería: preigu, Osnabrück, Alemaniapreigu
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 37,55
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Taschenbuch. Condición: Neu. Computational Intelligence for Alzheimer's Detection | Trevor Philips | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798256273439 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
