Handbook of research on data-driven mathematical modeling in smart cities:
"This book will cover topics on many new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modelling, machine learning based mathematical modelling, models for detecting anomalies in big sensor data, data security and blockchain for big data...
Saved in:
| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[2023]
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "This book will cover topics on many new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modelling, machine learning based mathematical modelling, models for detecting anomalies in big sensor data, data security and blockchain for big data, mathematical models for epidemic data analysis, ICT platforms for analyzing data in smart cities, privacy and ethics in data analysis, mathematical models in urban environment management and much more"-- |
| Physical Description: | 30 PDFs (468 Seiten) : illustrations (some color) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781668464106 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 245 | 0 | 0 | |a Handbook of research on data-driven mathematical modeling in smart cities |c Sabyasachi Pramanik and K Martin Sagayam. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c [2023] | |
| 300 | |a 30 PDFs (468 Seiten) : |b illustrations (some color) | ||
| 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. Applications, modern trends, and challenges of multiscale modeling in smart cities -- Chapter 2. A real-time smart sewage cleaning UAV assistance system using IoT -- Chapter 3. Applications of graphs in smart cities -- Chapter 4. A systematic approach of a flying ad-hoc network for smart cities -- Chapter 5. Fuzzynet-based modelling smart traffic system in smart cities using deep learning models -- Chapter 6. Application of IoT-based infrastructure in the automation of smart cities -- Chapter 7. Blockchain in supply chain management prevailing in smart cities: prospects and approaches -- Chapter 8. Broadcast system with optimality for vehicle-to-vehicle communications in smart cities -- Chapter 9. Applications of data security and blockchain in smart city identity management -- Chapter 10. Data-driven mathematical modeling for AI-based security applications -- Chapter 11. E-commerce business modeling in smart cities -- Chapter 12. Information frameworks and business patterns in smart cities -- Chapter 13. Integrating deep learning in an IoT model to build smart applications for sustainable cities -- Chapter 14. IoT and machine learning in smart city healthcare systems -- Chapter 15. Location-based analysis of supply chain management systems in smart cities -- Chapter 16. Optimization-based data science for an IoT service applicable in smart cities -- Chapter 17. Role of supply chain automation models in smart cities -- Chapter 18. Smart city approaches using machine learning and the IoT -- Chapter 19. Smart city healthcare system for survival forecast of cardiac attack situation using machine learning techniques -- Chapter 20. Survey on DL methods for flood prediction in smart cities -- Chapter 21. The industrial internet of things: advanced analytic framework. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book will cover topics on many new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modelling, machine learning based mathematical modelling, models for detecting anomalies in big sensor data, data security and blockchain for big data, mathematical models for epidemic data analysis, ICT platforms for analyzing data in smart cities, privacy and ethics in data analysis, mathematical models in urban environment management and much more"-- |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 03/11/2023). | ||
| 650 | 0 | |a Smart cities |x Mathematical models. | |
| 653 | |a 3D Design. | ||
| 653 | |a Deep Learning. | ||
| 653 | |a Flying Ad-hoc Networks. | ||
| 653 | |a Industrial Internet of Things. | ||
| 653 | |a IoT Models. | ||
| 653 | |a Multi-Agent Systems Spatiotemporal Modeling. | ||
| 653 | |a Multiscale Modeling. | ||
| 653 | |a Optimization-Based Data Science. | ||
| 653 | |a Smart Applications. | ||
| 653 | |a Smart City Automation. | ||
| 653 | |a Smart Traffic Systems. | ||
| 700 | 1 | |a Pramanik, Sabyasachi |d 1978- |e editor. | |
| 700 | 1 | |a Sagayam, K. Martin |d 1987- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| contents | Chapter 1. Applications, modern trends, and challenges of multiscale modeling in smart cities -- Chapter 2. A real-time smart sewage cleaning UAV assistance system using IoT -- Chapter 3. Applications of graphs in smart cities -- Chapter 4. A systematic approach of a flying ad-hoc network for smart cities -- Chapter 5. Fuzzynet-based modelling smart traffic system in smart cities using deep learning models -- Chapter 6. Application of IoT-based infrastructure in the automation of smart cities -- Chapter 7. Blockchain in supply chain management prevailing in smart cities: prospects and approaches -- Chapter 8. Broadcast system with optimality for vehicle-to-vehicle communications in smart cities -- Chapter 9. Applications of data security and blockchain in smart city identity management -- Chapter 10. Data-driven mathematical modeling for AI-based security applications -- Chapter 11. E-commerce business modeling in smart cities -- Chapter 12. Information frameworks and business patterns in smart cities -- Chapter 13. Integrating deep learning in an IoT model to build smart applications for sustainable cities -- Chapter 14. IoT and machine learning in smart city healthcare systems -- Chapter 15. Location-based analysis of supply chain management systems in smart cities -- Chapter 16. Optimization-based data science for an IoT service applicable in smart cities -- Chapter 17. Role of supply chain automation models in smart cities -- Chapter 18. Smart city approaches using machine learning and the IoT -- Chapter 19. Smart city healthcare system for survival forecast of cardiac attack situation using machine learning techniques -- Chapter 20. Survey on DL methods for flood prediction in smart cities -- Chapter 21. The industrial internet of things: advanced analytic framework. |
| ctrlnum | (CaBNVSL)slc00004119 (OCoLC)1348335111 |
| dewey-full | 307.7601/5118 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 307 - Communities |
| dewey-raw | 307.7601/5118 |
| dewey-search | 307.7601/5118 |
| dewey-sort | 3307.7601 45118 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00301565 |
| illustrated | Illustrated |
| indexdate | 2025-03-18T14:30:36Z |
| institution | BVB |
| isbn | 9781668464106 |
| language | English |
| oclc_num | 1348335111 |
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| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 30 PDFs (468 Seiten) : illustrations (some color) Also available in print. |
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| publishDate | 2023 |
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| publisher | IGI Global |
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| spelling | Handbook of research on data-driven mathematical modeling in smart cities Sabyasachi Pramanik and K Martin Sagayam. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global [2023] 30 PDFs (468 Seiten) : illustrations (some color) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Applications, modern trends, and challenges of multiscale modeling in smart cities -- Chapter 2. A real-time smart sewage cleaning UAV assistance system using IoT -- Chapter 3. Applications of graphs in smart cities -- Chapter 4. A systematic approach of a flying ad-hoc network for smart cities -- Chapter 5. Fuzzynet-based modelling smart traffic system in smart cities using deep learning models -- Chapter 6. Application of IoT-based infrastructure in the automation of smart cities -- Chapter 7. Blockchain in supply chain management prevailing in smart cities: prospects and approaches -- Chapter 8. Broadcast system with optimality for vehicle-to-vehicle communications in smart cities -- Chapter 9. Applications of data security and blockchain in smart city identity management -- Chapter 10. Data-driven mathematical modeling for AI-based security applications -- Chapter 11. E-commerce business modeling in smart cities -- Chapter 12. Information frameworks and business patterns in smart cities -- Chapter 13. Integrating deep learning in an IoT model to build smart applications for sustainable cities -- Chapter 14. IoT and machine learning in smart city healthcare systems -- Chapter 15. Location-based analysis of supply chain management systems in smart cities -- Chapter 16. Optimization-based data science for an IoT service applicable in smart cities -- Chapter 17. Role of supply chain automation models in smart cities -- Chapter 18. Smart city approaches using machine learning and the IoT -- Chapter 19. Smart city healthcare system for survival forecast of cardiac attack situation using machine learning techniques -- Chapter 20. Survey on DL methods for flood prediction in smart cities -- Chapter 21. The industrial internet of things: advanced analytic framework. Restricted to subscribers or individual electronic text purchasers. "This book will cover topics on many new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modelling, machine learning based mathematical modelling, models for detecting anomalies in big sensor data, data security and blockchain for big data, mathematical models for epidemic data analysis, ICT platforms for analyzing data in smart cities, privacy and ethics in data analysis, mathematical models in urban environment management and much more"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 03/11/2023). Smart cities Mathematical models. 3D Design. Deep Learning. Flying Ad-hoc Networks. Industrial Internet of Things. IoT Models. Multi-Agent Systems Spatiotemporal Modeling. Multiscale Modeling. Optimization-Based Data Science. Smart Applications. Smart City Automation. Smart Traffic Systems. Pramanik, Sabyasachi 1978- editor. Sagayam, K. Martin 1987- editor. IGI Global, publisher. (Original) (DLC)2022039797 Print version: 166846408X 9781668464083 (DLC) 2022039797 |
| spellingShingle | Handbook of research on data-driven mathematical modeling in smart cities Chapter 1. Applications, modern trends, and challenges of multiscale modeling in smart cities -- Chapter 2. A real-time smart sewage cleaning UAV assistance system using IoT -- Chapter 3. Applications of graphs in smart cities -- Chapter 4. A systematic approach of a flying ad-hoc network for smart cities -- Chapter 5. Fuzzynet-based modelling smart traffic system in smart cities using deep learning models -- Chapter 6. Application of IoT-based infrastructure in the automation of smart cities -- Chapter 7. Blockchain in supply chain management prevailing in smart cities: prospects and approaches -- Chapter 8. Broadcast system with optimality for vehicle-to-vehicle communications in smart cities -- Chapter 9. Applications of data security and blockchain in smart city identity management -- Chapter 10. Data-driven mathematical modeling for AI-based security applications -- Chapter 11. E-commerce business modeling in smart cities -- Chapter 12. Information frameworks and business patterns in smart cities -- Chapter 13. Integrating deep learning in an IoT model to build smart applications for sustainable cities -- Chapter 14. IoT and machine learning in smart city healthcare systems -- Chapter 15. Location-based analysis of supply chain management systems in smart cities -- Chapter 16. Optimization-based data science for an IoT service applicable in smart cities -- Chapter 17. Role of supply chain automation models in smart cities -- Chapter 18. Smart city approaches using machine learning and the IoT -- Chapter 19. Smart city healthcare system for survival forecast of cardiac attack situation using machine learning techniques -- Chapter 20. Survey on DL methods for flood prediction in smart cities -- Chapter 21. The industrial internet of things: advanced analytic framework. Smart cities Mathematical models. |
| title | Handbook of research on data-driven mathematical modeling in smart cities |
| title_auth | Handbook of research on data-driven mathematical modeling in smart cities |
| title_exact_search | Handbook of research on data-driven mathematical modeling in smart cities |
| title_full | Handbook of research on data-driven mathematical modeling in smart cities Sabyasachi Pramanik and K Martin Sagayam. |
| title_fullStr | Handbook of research on data-driven mathematical modeling in smart cities Sabyasachi Pramanik and K Martin Sagayam. |
| title_full_unstemmed | Handbook of research on data-driven mathematical modeling in smart cities Sabyasachi Pramanik and K Martin Sagayam. |
| title_short | Handbook of research on data-driven mathematical modeling in smart cities |
| title_sort | handbook of research on data driven mathematical modeling in smart cities |
| topic | Smart cities Mathematical models. |
| topic_facet | Smart cities Mathematical models. |
| work_keys_str_mv | AT pramaniksabyasachi handbookofresearchondatadrivenmathematicalmodelinginsmartcities AT sagayamkmartin handbookofresearchondatadrivenmathematicalmodelinginsmartcities AT igiglobal handbookofresearchondatadrivenmathematicalmodelinginsmartcities |