Handbook of research on smart technology models for business and industry:
"This book discusses relevant abstract frameworks and the latest experimental research findings in theory, mathematical models, software applications, and prototypes in the area of smart technologies"--
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: | Volltext |
| Zusammenfassung: | "This book discusses relevant abstract frameworks and the latest experimental research findings in theory, mathematical models, software applications, and prototypes in the area of smart technologies"-- |
| Beschreibung: | 29 PDFs (491 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799836469 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 245 | 0 | 0 | |a Handbook of research on smart technology models for business and industry |c J. Joshua Thomas, Ugo Fiore, Gilberto Perez Lechuga, Valeriy Kharchenko and Pandian Vasant. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2020] | |
| 300 | |a 29 PDFs (491 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. Decentralized cryptocurrency security and financial implications: the bitcoin paradigm -- Chapter 2. Technique of plant electrical stimulation by weak electric currents -- Chapter 3. IoT limitations and concerns relative to 5g architecture -- Chapter 4. Calculation of receipt of renewable energy resources and operation modes of power plants -- Chapter 5. Cooperative caching in wireless mesh networks -- Chapter 6. Smart computerized essay scoring using deep neural networks for universities and institutions -- Chapter 7. Application of machine learning algorithms in stock market prediction: a comparative analysis -- Chapter 8. Wind energy perspectives in Myanmar -- Chapter 9. Improved distributed energy systems based on the end-user consumption profile: a review on how consumers can drive the energy transition -- Chapter 10. Selection of an information source and methodology for calculating solar resources of the Kyrgyz Republic -- Chapter 11. Smart tourist destination management using demand forecasting techniques: using big data for destination demand forecasting as part of a destination management system -- Chapter 12. Development of DNN model for predicting surge pressure gradient during tripping operations -- Chapter 13. A cloud computing-based model for wildlife conservation and health care improvement in endangered wild life animals -- Chapter 14. Modelling and forecasting portfolio inflows: a comparative study of support vector regression, artificial neural networks, and structural VAR models -- Chapter 15. Meta-heuristic approaches for the optimization of hydropower energy: a review -- Chapter 16. Wireless technology of electric power transmission using non-metal conductive media -- Chapter 17. Development of Box Behnken design to predict the optimum operating condition of rectangular sheet membrane to increase permeate flux -- Chapter 18. Computational intelligence in the reversible data-hiding processes using radon transform -- Chapter 19. Genetic algorithm and particle swarm optimization techniques in supply chain design problems: a Survey. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book discusses relevant abstract frameworks and the latest experimental research findings in theory, mathematical models, software applications, and prototypes in the area of smart technologies"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 07/25/2020). | ||
| 650 | 0 | |a Artificial intelligence |x Industrial applications. | |
| 650 | 0 | |a Automation. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Business |x Data processing. | |
| 650 | 7 | |a Artificial intelligence |x Industrial applications. |2 fast | |
| 650 | 7 | |a Automation. |2 fast | |
| 650 | 7 | |a Big data. |2 fast | |
| 650 | 7 | |a Business |x Data processing. |2 fast | |
| 700 | 1 | |a Fiore, Ugo, |e editor. | |
| 700 | 1 | |a Kharchenko, Valeriy |d 1938- |e editor. | |
| 700 | 1 | |a Lechuga, Gilberto Perez, |e editor. | |
| 700 | 1 | |a Thomas, J. Joshua |d 1973- |e editor. | |
| 700 | 1 | |a Vasant, Pandian, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2019057487 | |
| 776 | 0 | 8 | |i Print version: |z 1799836452 |z 9781799836452 |w (DLC) 2019057487 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3645-2 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00243743 |
|---|---|
| _version_ | 1804751461234507776 |
| adam_text | |
| any_adam_object | |
| author2 | Fiore, Ugo Kharchenko, Valeriy 1938- Lechuga, Gilberto Perez Thomas, J. Joshua 1973- Vasant, Pandian |
| author2_role | edt edt edt edt edt |
| author2_variant | u f uf v k vk g p l gp gpl j j t jj jjt p v pv |
| author_facet | Fiore, Ugo Kharchenko, Valeriy 1938- Lechuga, Gilberto Perez Thomas, J. Joshua 1973- Vasant, Pandian |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | T59 |
| callnumber-raw | T59.5 .H36 2020e |
| callnumber-search | T59.5 .H36 2020e |
| callnumber-sort | T 259.5 H36 42020E |
| callnumber-subject | T - General Technology |
| collection | ZDB-98-IGB |
| contents | Chapter 1. Decentralized cryptocurrency security and financial implications: the bitcoin paradigm -- Chapter 2. Technique of plant electrical stimulation by weak electric currents -- Chapter 3. IoT limitations and concerns relative to 5g architecture -- Chapter 4. Calculation of receipt of renewable energy resources and operation modes of power plants -- Chapter 5. Cooperative caching in wireless mesh networks -- Chapter 6. Smart computerized essay scoring using deep neural networks for universities and institutions -- Chapter 7. Application of machine learning algorithms in stock market prediction: a comparative analysis -- Chapter 8. Wind energy perspectives in Myanmar -- Chapter 9. Improved distributed energy systems based on the end-user consumption profile: a review on how consumers can drive the energy transition -- Chapter 10. Selection of an information source and methodology for calculating solar resources of the Kyrgyz Republic -- Chapter 11. Smart tourist destination management using demand forecasting techniques: using big data for destination demand forecasting as part of a destination management system -- Chapter 12. Development of DNN model for predicting surge pressure gradient during tripping operations -- Chapter 13. A cloud computing-based model for wildlife conservation and health care improvement in endangered wild life animals -- Chapter 14. Modelling and forecasting portfolio inflows: a comparative study of support vector regression, artificial neural networks, and structural VAR models -- Chapter 15. Meta-heuristic approaches for the optimization of hydropower energy: a review -- Chapter 16. Wireless technology of electric power transmission using non-metal conductive media -- Chapter 17. Development of Box Behnken design to predict the optimum operating condition of rectangular sheet membrane to increase permeate flux -- Chapter 18. Computational intelligence in the reversible data-hiding processes using radon transform -- Chapter 19. Genetic algorithm and particle swarm optimization techniques in supply chain design problems: a Survey. |
| ctrlnum | (CaBNVSL)slc00000657 (OCoLC)1140373302 |
| dewey-full | 658/.05 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658/.05 |
| dewey-search | 658/.05 |
| dewey-sort | 3658 15 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00243743 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-16T15:51:55Z |
| institution | BVB |
| isbn | 9781799836469 |
| language | English |
| oclc_num | 1140373302 |
| open_access_boolean | |
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| owner_facet | DE-863 DE-BY-FWS |
| physical | 29 PDFs (491 pages) Also available in print. |
| psigel | ZDB-98-IGB |
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| publishDateSearch | 2020 |
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| publisher | IGI Global, |
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| spelling | Handbook of research on smart technology models for business and industry J. Joshua Thomas, Ugo Fiore, Gilberto Perez Lechuga, Valeriy Kharchenko and Pandian Vasant. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2020] 29 PDFs (491 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Decentralized cryptocurrency security and financial implications: the bitcoin paradigm -- Chapter 2. Technique of plant electrical stimulation by weak electric currents -- Chapter 3. IoT limitations and concerns relative to 5g architecture -- Chapter 4. Calculation of receipt of renewable energy resources and operation modes of power plants -- Chapter 5. Cooperative caching in wireless mesh networks -- Chapter 6. Smart computerized essay scoring using deep neural networks for universities and institutions -- Chapter 7. Application of machine learning algorithms in stock market prediction: a comparative analysis -- Chapter 8. Wind energy perspectives in Myanmar -- Chapter 9. Improved distributed energy systems based on the end-user consumption profile: a review on how consumers can drive the energy transition -- Chapter 10. Selection of an information source and methodology for calculating solar resources of the Kyrgyz Republic -- Chapter 11. Smart tourist destination management using demand forecasting techniques: using big data for destination demand forecasting as part of a destination management system -- Chapter 12. Development of DNN model for predicting surge pressure gradient during tripping operations -- Chapter 13. A cloud computing-based model for wildlife conservation and health care improvement in endangered wild life animals -- Chapter 14. Modelling and forecasting portfolio inflows: a comparative study of support vector regression, artificial neural networks, and structural VAR models -- Chapter 15. Meta-heuristic approaches for the optimization of hydropower energy: a review -- Chapter 16. Wireless technology of electric power transmission using non-metal conductive media -- Chapter 17. Development of Box Behnken design to predict the optimum operating condition of rectangular sheet membrane to increase permeate flux -- Chapter 18. Computational intelligence in the reversible data-hiding processes using radon transform -- Chapter 19. Genetic algorithm and particle swarm optimization techniques in supply chain design problems: a Survey. Restricted to subscribers or individual electronic text purchasers. "This book discusses relevant abstract frameworks and the latest experimental research findings in theory, mathematical models, software applications, and prototypes in the area of smart technologies"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 07/25/2020). Artificial intelligence Industrial applications. Automation. Big data. Business Data processing. Artificial intelligence Industrial applications. fast Automation. fast Big data. fast Business Data processing. fast Fiore, Ugo, editor. Kharchenko, Valeriy 1938- editor. Lechuga, Gilberto Perez, editor. Thomas, J. Joshua 1973- editor. Vasant, Pandian, editor. IGI Global, publisher. (Original) (DLC)2019057487 Print version: 1799836452 9781799836452 (DLC) 2019057487 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3645-2 Volltext |
| spellingShingle | Handbook of research on smart technology models for business and industry Chapter 1. Decentralized cryptocurrency security and financial implications: the bitcoin paradigm -- Chapter 2. Technique of plant electrical stimulation by weak electric currents -- Chapter 3. IoT limitations and concerns relative to 5g architecture -- Chapter 4. Calculation of receipt of renewable energy resources and operation modes of power plants -- Chapter 5. Cooperative caching in wireless mesh networks -- Chapter 6. Smart computerized essay scoring using deep neural networks for universities and institutions -- Chapter 7. Application of machine learning algorithms in stock market prediction: a comparative analysis -- Chapter 8. Wind energy perspectives in Myanmar -- Chapter 9. Improved distributed energy systems based on the end-user consumption profile: a review on how consumers can drive the energy transition -- Chapter 10. Selection of an information source and methodology for calculating solar resources of the Kyrgyz Republic -- Chapter 11. Smart tourist destination management using demand forecasting techniques: using big data for destination demand forecasting as part of a destination management system -- Chapter 12. Development of DNN model for predicting surge pressure gradient during tripping operations -- Chapter 13. A cloud computing-based model for wildlife conservation and health care improvement in endangered wild life animals -- Chapter 14. Modelling and forecasting portfolio inflows: a comparative study of support vector regression, artificial neural networks, and structural VAR models -- Chapter 15. Meta-heuristic approaches for the optimization of hydropower energy: a review -- Chapter 16. Wireless technology of electric power transmission using non-metal conductive media -- Chapter 17. Development of Box Behnken design to predict the optimum operating condition of rectangular sheet membrane to increase permeate flux -- Chapter 18. Computational intelligence in the reversible data-hiding processes using radon transform -- Chapter 19. Genetic algorithm and particle swarm optimization techniques in supply chain design problems: a Survey. Artificial intelligence Industrial applications. Automation. Big data. Business Data processing. Artificial intelligence Industrial applications. fast Automation. fast Big data. fast Business Data processing. fast |
| title | Handbook of research on smart technology models for business and industry |
| title_auth | Handbook of research on smart technology models for business and industry |
| title_exact_search | Handbook of research on smart technology models for business and industry |
| title_full | Handbook of research on smart technology models for business and industry J. Joshua Thomas, Ugo Fiore, Gilberto Perez Lechuga, Valeriy Kharchenko and Pandian Vasant. |
| title_fullStr | Handbook of research on smart technology models for business and industry J. Joshua Thomas, Ugo Fiore, Gilberto Perez Lechuga, Valeriy Kharchenko and Pandian Vasant. |
| title_full_unstemmed | Handbook of research on smart technology models for business and industry J. Joshua Thomas, Ugo Fiore, Gilberto Perez Lechuga, Valeriy Kharchenko and Pandian Vasant. |
| title_short | Handbook of research on smart technology models for business and industry |
| title_sort | handbook of research on smart technology models for business and industry |
| topic | Artificial intelligence Industrial applications. Automation. Big data. Business Data processing. Artificial intelligence Industrial applications. fast Automation. fast Big data. fast Business Data processing. fast |
| topic_facet | Artificial intelligence Industrial applications. Automation. Big data. Business Data processing. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3645-2 |
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