Challenges and opportunities for the convergence of IoT, big data, and cloud computing:
"This book focuses on the applications, issues, and challenges in the convergence of the internet of things, big data, and cloud computing"--
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2020.
|
| Schlagworte: | |
| Online-Zugang: | DE-863 |
| Zusammenfassung: | "This book focuses on the applications, issues, and challenges in the convergence of the internet of things, big data, and cloud computing"-- |
| Beschreibung: | 25 PDFs (381 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 1799831132 9781799831136 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 245 | 0 | 0 | |a Challenges and opportunities for the convergence of IoT, big data, and cloud computing |c Velayutham Sathiyamoorthi, editor. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2020. | |
| 300 | |a 25 PDFs (381 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. The age of autonomous internet of things devices: opportunities and challenges of IoT -- Chapter 2. Challenges for convergence of cloud and IoT in applications and edge computing -- Chapter 3. Emerging trends and techniques in cloud-based data analytics -- Chapter 4. An IoT-based energy meter for energy level monitoring, predicting, and optimization -- Chapter 5. Artificial intelligence based on biological neurons: constructing neural circuits for IoT -- Chapter 6. Best practices: adopting security into the cloud-based internet of things -- Chapter 7. Big data IoT analytics for smart cities with cloud computing technique -- Chapter 8. Big data issues: gathering, governance, GDPR, security, and privacy -- Chapter 9. Big data analytics and its applications in IoT -- Chapter 10. Big data analytics in cloud platform -- Chapter 11. Convergence of AI, ML, and DL for enabling smart intelligence: artificial intelligence, machine learning, deep learning, internet of things -- Chapter 12. Impact of deep learning techniques in IoT -- Chapter 13. IoT device onboarding, monitoring, and management: approaches, challenges, and future -- Chapter 14. Machine and deep learning techniques in IoT and cloud -- Chapter 15. Perspectives of machine learning and deep learning in internet of things and cloud: artificial intelligence-based internet of things system -- Chapter 16. Real-time problems to be solved by the combination of IoT, big data, and cloud technologies -- Chapter 17. Survelliance of type i and II diabetic subjects on physical characteristics: IoT and big data perspective in healthcareNCR, India. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book focuses on the applications, issues, and challenges in the convergence of the internet of things, big data, and cloud computing"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | 0 | |a Description based on title screen (IGI Global, viewed 01/05/2021). | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Cloud computing. | |
| 650 | 0 | |a Convergence (Telecommunication) | |
| 650 | 0 | |a Internet of things. | |
| 650 | 7 | |a Big data. |2 fast | |
| 650 | 7 | |a Cloud computing. |2 fast | |
| 650 | 7 | |a Convergence (Telecommunication) |2 fast | |
| 650 | 7 | |a Internet of things. |2 fast | |
| 653 | |a Big Data Governance. | ||
| 653 | |a Cloud-Based Analytics. | ||
| 653 | |a Data Storage. | ||
| 653 | |a Deep Learning. | ||
| 653 | |a Edge Computing. | ||
| 653 | |a Information Security. | ||
| 653 | |a Intelligent Algorithms. | ||
| 653 | |a Machine Learning. | ||
| 653 | |a Problem Solving Techniques. | ||
| 653 | |a Real-Time Challenges. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Sathiyamoorthi, V. |d 1983- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2019048561 | |
| 776 | 0 | 8 | |i Print version: |z 1799831116 |z 9781799831112 |w (DLC) 2019048561 |
| 966 | 4 | 0 | |l DE-863 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3111-2 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00240164 |
|---|---|
| _version_ | 1825936818819825664 |
| adam_text | |
| any_adam_object | |
| author2 | Sathiyamoorthi, V. 1983- |
| author2_role | edt |
| author2_variant | v s vs |
| author_facet | Sathiyamoorthi, V. 1983- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TK5105 |
| callnumber-raw | TK5105.8857 .C43 2020e |
| callnumber-search | TK5105.8857 .C43 2020e |
| callnumber-sort | TK 45105.8857 C43 42020E |
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| collection | ZDB-98-IGB |
| contents | Chapter 1. The age of autonomous internet of things devices: opportunities and challenges of IoT -- Chapter 2. Challenges for convergence of cloud and IoT in applications and edge computing -- Chapter 3. Emerging trends and techniques in cloud-based data analytics -- Chapter 4. An IoT-based energy meter for energy level monitoring, predicting, and optimization -- Chapter 5. Artificial intelligence based on biological neurons: constructing neural circuits for IoT -- Chapter 6. Best practices: adopting security into the cloud-based internet of things -- Chapter 7. Big data IoT analytics for smart cities with cloud computing technique -- Chapter 8. Big data issues: gathering, governance, GDPR, security, and privacy -- Chapter 9. Big data analytics and its applications in IoT -- Chapter 10. Big data analytics in cloud platform -- Chapter 11. Convergence of AI, ML, and DL for enabling smart intelligence: artificial intelligence, machine learning, deep learning, internet of things -- Chapter 12. Impact of deep learning techniques in IoT -- Chapter 13. IoT device onboarding, monitoring, and management: approaches, challenges, and future -- Chapter 14. Machine and deep learning techniques in IoT and cloud -- Chapter 15. Perspectives of machine learning and deep learning in internet of things and cloud: artificial intelligence-based internet of things system -- Chapter 16. Real-time problems to be solved by the combination of IoT, big data, and cloud technologies -- Chapter 17. Survelliance of type i and II diabetic subjects on physical characteristics: IoT and big data perspective in healthcareNCR, India. |
| ctrlnum | (CaBNVSL)slc00001002 (OCoLC)1228860461 |
| dewey-full | 004 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004 |
| dewey-search | 004 |
| dewey-sort | 14 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00240164 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-07T12:04:07Z |
| institution | BVB |
| isbn | 1799831132 9781799831136 |
| language | English |
| oclc_num | 1228860461 |
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| spelling | Challenges and opportunities for the convergence of IoT, big data, and cloud computing Velayutham Sathiyamoorthi, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2020. 25 PDFs (381 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. The age of autonomous internet of things devices: opportunities and challenges of IoT -- Chapter 2. Challenges for convergence of cloud and IoT in applications and edge computing -- Chapter 3. Emerging trends and techniques in cloud-based data analytics -- Chapter 4. An IoT-based energy meter for energy level monitoring, predicting, and optimization -- Chapter 5. Artificial intelligence based on biological neurons: constructing neural circuits for IoT -- Chapter 6. Best practices: adopting security into the cloud-based internet of things -- Chapter 7. Big data IoT analytics for smart cities with cloud computing technique -- Chapter 8. Big data issues: gathering, governance, GDPR, security, and privacy -- Chapter 9. Big data analytics and its applications in IoT -- Chapter 10. Big data analytics in cloud platform -- Chapter 11. Convergence of AI, ML, and DL for enabling smart intelligence: artificial intelligence, machine learning, deep learning, internet of things -- Chapter 12. Impact of deep learning techniques in IoT -- Chapter 13. IoT device onboarding, monitoring, and management: approaches, challenges, and future -- Chapter 14. Machine and deep learning techniques in IoT and cloud -- Chapter 15. Perspectives of machine learning and deep learning in internet of things and cloud: artificial intelligence-based internet of things system -- Chapter 16. Real-time problems to be solved by the combination of IoT, big data, and cloud technologies -- Chapter 17. Survelliance of type i and II diabetic subjects on physical characteristics: IoT and big data perspective in healthcareNCR, India. Restricted to subscribers or individual electronic text purchasers. "This book focuses on the applications, issues, and challenges in the convergence of the internet of things, big data, and cloud computing"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 01/05/2021). Big data. Cloud computing. Convergence (Telecommunication) Internet of things. Big data. fast Cloud computing. fast Convergence (Telecommunication) fast Internet of things. fast Big Data Governance. Cloud-Based Analytics. Data Storage. Deep Learning. Edge Computing. Information Security. Intelligent Algorithms. Machine Learning. Problem Solving Techniques. Real-Time Challenges. Electronic books. Sathiyamoorthi, V. 1983- editor. IGI Global, publisher. (Original) (DLC)2019048561 Print version: 1799831116 9781799831112 (DLC) 2019048561 |
| spellingShingle | Challenges and opportunities for the convergence of IoT, big data, and cloud computing Chapter 1. The age of autonomous internet of things devices: opportunities and challenges of IoT -- Chapter 2. Challenges for convergence of cloud and IoT in applications and edge computing -- Chapter 3. Emerging trends and techniques in cloud-based data analytics -- Chapter 4. An IoT-based energy meter for energy level monitoring, predicting, and optimization -- Chapter 5. Artificial intelligence based on biological neurons: constructing neural circuits for IoT -- Chapter 6. Best practices: adopting security into the cloud-based internet of things -- Chapter 7. Big data IoT analytics for smart cities with cloud computing technique -- Chapter 8. Big data issues: gathering, governance, GDPR, security, and privacy -- Chapter 9. Big data analytics and its applications in IoT -- Chapter 10. Big data analytics in cloud platform -- Chapter 11. Convergence of AI, ML, and DL for enabling smart intelligence: artificial intelligence, machine learning, deep learning, internet of things -- Chapter 12. Impact of deep learning techniques in IoT -- Chapter 13. IoT device onboarding, monitoring, and management: approaches, challenges, and future -- Chapter 14. Machine and deep learning techniques in IoT and cloud -- Chapter 15. Perspectives of machine learning and deep learning in internet of things and cloud: artificial intelligence-based internet of things system -- Chapter 16. Real-time problems to be solved by the combination of IoT, big data, and cloud technologies -- Chapter 17. Survelliance of type i and II diabetic subjects on physical characteristics: IoT and big data perspective in healthcareNCR, India. Big data. Cloud computing. Convergence (Telecommunication) Internet of things. Big data. fast Cloud computing. fast Convergence (Telecommunication) fast Internet of things. fast |
| title | Challenges and opportunities for the convergence of IoT, big data, and cloud computing |
| title_auth | Challenges and opportunities for the convergence of IoT, big data, and cloud computing |
| title_exact_search | Challenges and opportunities for the convergence of IoT, big data, and cloud computing |
| title_full | Challenges and opportunities for the convergence of IoT, big data, and cloud computing Velayutham Sathiyamoorthi, editor. |
| title_fullStr | Challenges and opportunities for the convergence of IoT, big data, and cloud computing Velayutham Sathiyamoorthi, editor. |
| title_full_unstemmed | Challenges and opportunities for the convergence of IoT, big data, and cloud computing Velayutham Sathiyamoorthi, editor. |
| title_short | Challenges and opportunities for the convergence of IoT, big data, and cloud computing |
| title_sort | challenges and opportunities for the convergence of iot big data and cloud computing |
| topic | Big data. Cloud computing. Convergence (Telecommunication) Internet of things. Big data. fast Cloud computing. fast Convergence (Telecommunication) fast Internet of things. fast |
| topic_facet | Big data. Cloud computing. Convergence (Telecommunication) Internet of things. Electronic books. |
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