Empowering sustainable industrial 4.0 systems with machine intelligence:
"This book addresses a wide range of topics related to industry 4.0 issues, its challenges and employment of smart and intelligent solutions to contain the errors and their impacts affecting stakeholders of such systems including, health industry, pharmaceutical industry, education industry, de...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2022.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book addresses a wide range of topics related to industry 4.0 issues, its challenges and employment of smart and intelligent solutions to contain the errors and their impacts affecting stakeholders of such systems including, health industry, pharmaceutical industry, education industry, defense systems, manufacturing industry, logistic support systems, supply chain management, social media industry, and disaster management systems etc" |
| Beschreibung: | 21 PDFs (315 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799892038 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 020 | |a 9781799892038 |q PDF | ||
| 020 | |z 9781799892014 |q hardcover | ||
| 024 | 7 | |a 10.4018/978-1-7998-9201-4 |2 doi | |
| 035 | |a (CaBNVSL)slc00002484 | ||
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| 245 | 0 | 0 | |a Empowering sustainable industrial 4.0 systems with machine intelligence |c Muneer Ahmad, and Noor Zaman Jhanjhi, editor. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2022. | |
| 300 | |a 21 PDFs (315 pages) | ||
| 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. Time-series analysis and prediction of water quality through multisource data -- Chapter 2. Temporal analysis and prediction of ambient air quality using remote sensing, deep learning, and geospatial technologies -- Chapter 3. Automated multi-sensor board for IoT and ML-enabled livestock monitoring -- Chapter 4. How artificial intelligence can enhance predictive maintenance in smart factories -- Chapter 5. A review of artificial intelligence models in prognosticating abdominal aorta aneurysms -- Chapter 6. Enhanced water quality monitoring and estimation using a multi-modal approach -- Chapter 7. Machine intelligence in customer relationship management in small and large companies -- Chapter 8. Machine intelligence as a foundation of self-driving automotive (SDA) systems -- Chapter 9. Machine learning-based wearable devices for smart healthcare application with risk factor monitoring -- Chapter 10. Predicting the early stage of diabetes and finding the association of the symptoms -- Chapter 11. Role of machine learning in handling the COVID-19 pandemic -- Chapter 12. A rural healthcare mobile app: urdu voice-enabled mobile app for disease diagnosis. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book addresses a wide range of topics related to industry 4.0 issues, its challenges and employment of smart and intelligent solutions to contain the errors and their impacts affecting stakeholders of such systems including, health industry, pharmaceutical industry, education industry, defense systems, manufacturing industry, logistic support systems, supply chain management, social media industry, and disaster management systems etc" | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 04/09/2022). | ||
| 650 | 0 | |a Artificial intelligence |x Industrial applications. | |
| 650 | 0 | |a Management information systems. | |
| 650 | 0 | |a Sociotechnical systems. | |
| 700 | 1 | |a Ahmad, Muneer, |e editor. | |
| 700 | 1 | |a Jhanjhi, Noor Zaman, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 1799892018 |z 9781799892014 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-9201-4 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00276464 |
|---|---|
| _version_ | 1816797085893132288 |
| adam_text | |
| any_adam_object | |
| author2 | Ahmad, Muneer Jhanjhi, Noor Zaman |
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| author_facet | Ahmad, Muneer Jhanjhi, Noor Zaman |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
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| callnumber-raw | TA347.A78 E47 2022eb |
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| callnumber-subject | TA - General and Civil Engineering |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Time-series analysis and prediction of water quality through multisource data -- Chapter 2. Temporal analysis and prediction of ambient air quality using remote sensing, deep learning, and geospatial technologies -- Chapter 3. Automated multi-sensor board for IoT and ML-enabled livestock monitoring -- Chapter 4. How artificial intelligence can enhance predictive maintenance in smart factories -- Chapter 5. A review of artificial intelligence models in prognosticating abdominal aorta aneurysms -- Chapter 6. Enhanced water quality monitoring and estimation using a multi-modal approach -- Chapter 7. Machine intelligence in customer relationship management in small and large companies -- Chapter 8. Machine intelligence as a foundation of self-driving automotive (SDA) systems -- Chapter 9. Machine learning-based wearable devices for smart healthcare application with risk factor monitoring -- Chapter 10. Predicting the early stage of diabetes and finding the association of the symptoms -- Chapter 11. Role of machine learning in handling the COVID-19 pandemic -- Chapter 12. A rural healthcare mobile app: urdu voice-enabled mobile app for disease diagnosis. |
| ctrlnum | (CaBNVSL)slc00002484 (OCoLC)1310045677 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00276464 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:58Z |
| institution | BVB |
| isbn | 9781799892038 |
| language | English |
| oclc_num | 1310045677 |
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| physical | 21 PDFs (315 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Empowering sustainable industrial 4.0 systems with machine intelligence Muneer Ahmad, and Noor Zaman Jhanjhi, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2022. 21 PDFs (315 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Time-series analysis and prediction of water quality through multisource data -- Chapter 2. Temporal analysis and prediction of ambient air quality using remote sensing, deep learning, and geospatial technologies -- Chapter 3. Automated multi-sensor board for IoT and ML-enabled livestock monitoring -- Chapter 4. How artificial intelligence can enhance predictive maintenance in smart factories -- Chapter 5. A review of artificial intelligence models in prognosticating abdominal aorta aneurysms -- Chapter 6. Enhanced water quality monitoring and estimation using a multi-modal approach -- Chapter 7. Machine intelligence in customer relationship management in small and large companies -- Chapter 8. Machine intelligence as a foundation of self-driving automotive (SDA) systems -- Chapter 9. Machine learning-based wearable devices for smart healthcare application with risk factor monitoring -- Chapter 10. Predicting the early stage of diabetes and finding the association of the symptoms -- Chapter 11. Role of machine learning in handling the COVID-19 pandemic -- Chapter 12. A rural healthcare mobile app: urdu voice-enabled mobile app for disease diagnosis. Restricted to subscribers or individual electronic text purchasers. "This book addresses a wide range of topics related to industry 4.0 issues, its challenges and employment of smart and intelligent solutions to contain the errors and their impacts affecting stakeholders of such systems including, health industry, pharmaceutical industry, education industry, defense systems, manufacturing industry, logistic support systems, supply chain management, social media industry, and disaster management systems etc" Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 04/09/2022). Artificial intelligence Industrial applications. Management information systems. Sociotechnical systems. Ahmad, Muneer, editor. Jhanjhi, Noor Zaman, editor. IGI Global, publisher. Print version: 1799892018 9781799892014 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-9201-4 Volltext |
| spellingShingle | Empowering sustainable industrial 4.0 systems with machine intelligence Chapter 1. Time-series analysis and prediction of water quality through multisource data -- Chapter 2. Temporal analysis and prediction of ambient air quality using remote sensing, deep learning, and geospatial technologies -- Chapter 3. Automated multi-sensor board for IoT and ML-enabled livestock monitoring -- Chapter 4. How artificial intelligence can enhance predictive maintenance in smart factories -- Chapter 5. A review of artificial intelligence models in prognosticating abdominal aorta aneurysms -- Chapter 6. Enhanced water quality monitoring and estimation using a multi-modal approach -- Chapter 7. Machine intelligence in customer relationship management in small and large companies -- Chapter 8. Machine intelligence as a foundation of self-driving automotive (SDA) systems -- Chapter 9. Machine learning-based wearable devices for smart healthcare application with risk factor monitoring -- Chapter 10. Predicting the early stage of diabetes and finding the association of the symptoms -- Chapter 11. Role of machine learning in handling the COVID-19 pandemic -- Chapter 12. A rural healthcare mobile app: urdu voice-enabled mobile app for disease diagnosis. Artificial intelligence Industrial applications. Management information systems. Sociotechnical systems. |
| title | Empowering sustainable industrial 4.0 systems with machine intelligence |
| title_auth | Empowering sustainable industrial 4.0 systems with machine intelligence |
| title_exact_search | Empowering sustainable industrial 4.0 systems with machine intelligence |
| title_full | Empowering sustainable industrial 4.0 systems with machine intelligence Muneer Ahmad, and Noor Zaman Jhanjhi, editor. |
| title_fullStr | Empowering sustainable industrial 4.0 systems with machine intelligence Muneer Ahmad, and Noor Zaman Jhanjhi, editor. |
| title_full_unstemmed | Empowering sustainable industrial 4.0 systems with machine intelligence Muneer Ahmad, and Noor Zaman Jhanjhi, editor. |
| title_short | Empowering sustainable industrial 4.0 systems with machine intelligence |
| title_sort | empowering sustainable industrial 4 0 systems with machine intelligence |
| topic | Artificial intelligence Industrial applications. Management information systems. Sociotechnical systems. |
| topic_facet | Artificial intelligence Industrial applications. Management information systems. Sociotechnical systems. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-9201-4 |
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