Pethuru Raj, Anupama C. Raman, Harihara Subramanian
Cognitive Internet of Things (eBook, ePUB)
Enabling Technologies, Platforms, and Use Cases
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Pethuru Raj, Anupama C. Raman, Harihara Subramanian
Cognitive Internet of Things (eBook, ePUB)
Enabling Technologies, Platforms, and Use Cases
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This book clarifies for readers concepts of cognitive Internet of Things (IoT) along with the use cases and other supporting technologies like artificial intelligence and machine learning that are key enablers of the cognitive IoT ecosystem. Different platforms like IBM Watson and product specific use cases like Amazon Alexa are covered in detail.
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This book clarifies for readers concepts of cognitive Internet of Things (IoT) along with the use cases and other supporting technologies like artificial intelligence and machine learning that are key enablers of the cognitive IoT ecosystem. Different platforms like IBM Watson and product specific use cases like Amazon Alexa are covered in detail.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 326
- Erscheinungstermin: 29. März 2022
- Englisch
- ISBN-13: 9781000547269
- Artikelnr.: 63503443
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 326
- Erscheinungstermin: 29. März 2022
- Englisch
- ISBN-13: 9781000547269
- Artikelnr.: 63503443
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Dr. Pethuru Raj has been working as the chief architect and vice-president in the Site Reliability Engineering (SRE) division of Reliance Jio Infocomm Ltd. (RJIL), Bangalore. He was previously at IBM Global Cloud center of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). He has a PhD degree at Anna University, Chennai and is affiliated with the UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore. He has published more than 30 research papers in peer-reviewed journals. He has authored and edited 16 books thus far and contributed 35 book chapters for various technology books. His core focus is on emerging technologies such as IoT, Blockchain, Digital Twin, Containerized Clouds, Artificial Intelligence (machine and deep learning algorithms, & Computer Vision), IT Reliability, Microservices Architecture, and fog/edge computing. Anupama Raman is currently working at Global Head-Software Academy in Continental Automotive group. She is a certified Storage Area Networking expert and is also a certified Data Center Architect. She is also certified in Cloud infrastructure and Services Management. Apart from these technical certifications, in the field of writing, she is a certified Information Mapping professional and in the field of project management, she is a certified Scrum master. She holds an M. Tech degree in Computer Science and Engineering and is currently pursuing MBA in IT Management. She has presented and published over 20 research papers in various national and international conferences and she has also written numerous book chapters with various national and international publishers. She has authored 6 books on various topics like titled Intelligent Cities - Enabling Technologies and Platforms, Big Data Analytics, Software Defined Cloud Infrastructure , Edge and Fog Computing, Architectural Design patterns, and Internet of Things. She is regular columnist of Forbes and has authored several articles for Forbes India. Harihara Subramanian is a postgraduate and computer science engineer who is practicing software development and design for the past several years, and a software architect by profession he is currently working with SABRE India as a Senior Principal Software Architect. Hari has co-authored multiple software enterprise architecture books on design patterns.
1. Describing the Cognitive IoT Paradigm 2. Demystifying the Cognitive
Computing Paradigm 3. The Cognitive IoT: The Platforms, Technologies and
Their Use cases 4. Delineating the Key Capabilities of Cognitive Cloud
Environments 5. Machine Learning (ML) Algorithms for Enabling the Cognitive
Internet of Things (CIoT) 6. Unsupervised and Semi-supervised Machine
Learning Algorithms for Cognitive IoT Systems 7. Deep Learning Algorithms
for Cognitive IoT Solutions 8. Computer Vision (CV) Technologies and Tools
for Vision-based Cognitive IoT Systems 9. Natural Language Processing (NLP)
Methods for Cognitive IoT Systems 10. Design of a Secure Infrastructure for
Cognitive IoT Platforms and Applications 11. Revolutionizing Manufacturing
Using Cognitive IoT Technologies 12. Edge AI - The Consumer, Social, and
Industry Use Cases
Computing Paradigm 3. The Cognitive IoT: The Platforms, Technologies and
Their Use cases 4. Delineating the Key Capabilities of Cognitive Cloud
Environments 5. Machine Learning (ML) Algorithms for Enabling the Cognitive
Internet of Things (CIoT) 6. Unsupervised and Semi-supervised Machine
Learning Algorithms for Cognitive IoT Systems 7. Deep Learning Algorithms
for Cognitive IoT Solutions 8. Computer Vision (CV) Technologies and Tools
for Vision-based Cognitive IoT Systems 9. Natural Language Processing (NLP)
Methods for Cognitive IoT Systems 10. Design of a Secure Infrastructure for
Cognitive IoT Platforms and Applications 11. Revolutionizing Manufacturing
Using Cognitive IoT Technologies 12. Edge AI - The Consumer, Social, and
Industry Use Cases
1. Describing the Cognitive IoT Paradigm 2. Demystifying the Cognitive
Computing Paradigm 3. The Cognitive IoT: The Platforms, Technologies and
Their Use cases 4. Delineating the Key Capabilities of Cognitive Cloud
Environments 5. Machine Learning (ML) Algorithms for Enabling the Cognitive
Internet of Things (CIoT) 6. Unsupervised and Semi-supervised Machine
Learning Algorithms for Cognitive IoT Systems 7. Deep Learning Algorithms
for Cognitive IoT Solutions 8. Computer Vision (CV) Technologies and Tools
for Vision-based Cognitive IoT Systems 9. Natural Language Processing (NLP)
Methods for Cognitive IoT Systems 10. Design of a Secure Infrastructure for
Cognitive IoT Platforms and Applications 11. Revolutionizing Manufacturing
Using Cognitive IoT Technologies 12. Edge AI - The Consumer, Social, and
Industry Use Cases
Computing Paradigm 3. The Cognitive IoT: The Platforms, Technologies and
Their Use cases 4. Delineating the Key Capabilities of Cognitive Cloud
Environments 5. Machine Learning (ML) Algorithms for Enabling the Cognitive
Internet of Things (CIoT) 6. Unsupervised and Semi-supervised Machine
Learning Algorithms for Cognitive IoT Systems 7. Deep Learning Algorithms
for Cognitive IoT Solutions 8. Computer Vision (CV) Technologies and Tools
for Vision-based Cognitive IoT Systems 9. Natural Language Processing (NLP)
Methods for Cognitive IoT Systems 10. Design of a Secure Infrastructure for
Cognitive IoT Platforms and Applications 11. Revolutionizing Manufacturing
Using Cognitive IoT Technologies 12. Edge AI - The Consumer, Social, and
Industry Use Cases