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BL
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| Record Number
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860248
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| Title & Author
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Artificial intelligence in IoT /\ editor, Fadi Al-Tijiman.
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| Publication Statement
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Cham, Switzerland :: Springer,, [2019]
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| Series Statement
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Transactions on computational science and computational intelligence,
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| Page. NO
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1 online resource
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| ISBN
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3030041107
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: 3030041115
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: 9783030041106
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: 9783030041113
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3030041093
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9783030041090
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| Bibliographies/Indexes
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Includes bibliographical references.
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| Contents
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Intro; Preface; Contents; About the Editor; A Systematic Review of the Convergence of Augmented Reality, Intelligent Virtual Agents, and the Internet of Things; 1 Introduction; 2 Methodology; 3 Review Topics; 4 Meta-Review of Publications; 5 The Convergence of AR and IVA; 5.1 Meta-Review; 5.2 Impactful Papers and Trends; 6 The Convergence of IVA and IoT; 6.1 Meta-Review; 6.2 Impactful Papers and Trends; 7 The Convergence of AR and IoT; 7.1 Meta-Review; 7.2 Impactful Papers and Trends; 8 The Nexus of IVA, IoT, and AR; 9 Conclusion; References
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4 Application of EANN for Hydrological Modeling5 The Internet of Things (IoT) in Hydro-Environmental Studies; References; Smart Tourism Destination in Smart Cities Paradigm: A Model for Antalya; 1 Introduction; 2 Smartness, Smart City, and Smart Tourism Destination; 3 Smart Tourism Destination Instruments and Platforms; 3.1 Computational Intelligence; 3.2 Machine Learning; 3.3 Cognitive Networks and Multi-agent Systems; 3.4 Context-Aware Computing; 4 The STD Framework; 4.1 Antalya as an STD; 4.2 An STD Model for Antalya; 5 Concluding Remarks; References
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4.1.2 Big Data Storage4.2 Programming Model; 4.3 Benchmark; 4.4 Big Data Analytics; 4.4.1 Timeliness of Analysis; 4.4.2 Analysis at Different Levels; 4.4.3 Analysis with Different Complexity; 4.5 Tools for Big Data Mining and Analysis; 4.5.1 R; 4.5.2 Excel; 4.5.3 RapidMiner; 4.5.4 KNMINE; 4.5.5 Weka; 4.6 Applications of Big Data; 4.6.1 Business Applications; 4.6.2 Social Applications; 4.6.3 Scientific Applications; 4.6.4 Application of Intelligent IoT-Based Big Data; 5 Conclusion and Research Directions; References
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A Hybrid Approach for Image Segmentation in the IoT Era1 Introduction; 2 Related Work; 3 Clustering Methods; 3.1 Weighted Binary Partition Tree; 3.2 Spectral Clustering; 4 Proposed Methodology; 5 Results and Discussion; 6 Chapter Summary; References; Big Data Analytics for Intelligent Internet of Things; 1 Introduction; 2 Definition of Big Data; 3 Challenges with Big Data; 3.1 Data Representation; 3.2 Redundancy; 3.3 Privacy and Security; 3.4 Energy Efficiency; 3.5 Challenges with Big IoT Data; 4 Taxonomy of Big Data Analytics; 4.1 Acquisition and Storage; 4.1.1 Big Data Acquisition
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Improving the Physical Layer Security of IoT-5G Systems1 Introduction; 2 Preliminaries and System Model; 3 Review of OFDM-Subcarrier Index Selection (OFDM-SIS); 4 Proposed OFDM-Subcarrier Index Selection with Artificially Interfering Signals (OFDM-SIS-AIS); 5 Performance Analysis; 5.1 Error Probability Associated with Bob and Eve; 5.2 Secrecy Outage Probability; 6 Simulation Results; 7 Conclusion; References; Emotional ANN (EANN): A New Generation of Neural Networks for Hydrological Modeling in IoT; 1 Introduction; 2 Emotion in ANNs; 3 Difference Between EANN and Simple ANN
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| Abstract
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This book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion. The aim of this book is hence to focus on both the algorithmic and practical parts of the artificial intelligence approaches in IoT applications that are enabled and supported by wireless sensor networks and cellular networks. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent wireless/wired enabling technologies. Includes the most up-to-date research and applications related to IoT artificial intelligence (AI); Provides new and innovative operational ideas regarding the IoT artificial intelligence that help advance the telecommunications industry; Presents AI challenges facing the IoT scientists and provides potential ways to solve them in critical daily life issues.
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| Subject
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Artificial intelligence.
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Internet of things.
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| Subject
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Artificial intelligence.
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| Subject
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COMPUTERS-- General.
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| Subject
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Internet of things.
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| Dewey Classification
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006.3
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| LC Classification
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Q335
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| Added Entry
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Al-Turjman, Fadi
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