Scalable modeling and efficient management of IoT applications:
"Experts continue to struggle with developing methods to effectively navigate the intricate landscape of the Internet of Things (IoT). As the IoT landscape continues to expand and influence various industries, from healthcare to smart cities and beyond, scholars often find themselves facing an...
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| Other Authors: | , , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2025.
|
| Series: | Advances in IT standards and standardization research series (AISSR).
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "Experts continue to struggle with developing methods to effectively navigate the intricate landscape of the Internet of Things (IoT). As the IoT landscape continues to expand and influence various industries, from healthcare to smart cities and beyond, scholars often find themselves facing an absence of comprehensive guidance in navigating this evolving technological landscape. The challenges are multifaceted and include the need for intelligent modeling techniques, the intricacies of managing IoT applications, and the relentless pace of technological advancements. This issue of staying well-informed and equipped to address these challenges demands an insightful solution. To tackle these challenges, Scalable Modeling and Efficient Management of IoT Applications emerges as a valuable resource, offering a multitude of effective solutions to address these concerns. This is a book that was meticulously crafted to empower scholars with the knowledge and tools they need. By tackling the scarcity of guidance on intelligent modeling techniques, the book equips readers with a profound understanding of the fundamental concepts, algorithms, and methodologies crucial for designing and managing intelligent IoT systems."-- |
| Physical Description: | 20 PDFs (318 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9798369316870 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 0 | |a Scalable modeling and efficient management of IoT applications |c Dharmendra Rajput, Gotam Lalotra, Vinod Kumar, Pushpendra Kumar, Harshita Patel., editors. |
| 246 | 3 | |a Scalable modeling and efficient management of internet of things applications | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2025. | |
| 300 | |a 20 PDFs (318 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a Advances in IT standards and standardization research series (AISSR) | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Preface -- Acknowledgment -- Chapter 1. Predictive and Prescriptive Analytics for IoT: Unlocking Insights -- Chapter 2. IoT in Healthcare and Telemedicine: Revolutionizing Patient Care and Medical Practices -- Chapter 3. Revolutionizing Healthcare: IoT Powered Telemedicine Advancements -- Chapter 4. Automatic Irrigation System Using IoT -- Chapter 5. Study and Analysis of IoT-Based Telemedicine and Remote Patient Monitoring -- Chapter 6. Comparative Analysis of Detection of Diseases in Apple Tree Leaves Using ResNet and CNN -- Chapter 7. Research Review on Task Scheduling Algorithm for Green Cloud Computing -- Chapter 8. Unleashing IoT Data Insights: Data Mining and Machine Learning Techniques for Scalable Modeling and Efficient Management of IoT -- Compilation of References -- Related References -- About the Contributors -- Index. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Experts continue to struggle with developing methods to effectively navigate the intricate landscape of the Internet of Things (IoT). As the IoT landscape continues to expand and influence various industries, from healthcare to smart cities and beyond, scholars often find themselves facing an absence of comprehensive guidance in navigating this evolving technological landscape. The challenges are multifaceted and include the need for intelligent modeling techniques, the intricacies of managing IoT applications, and the relentless pace of technological advancements. This issue of staying well-informed and equipped to address these challenges demands an insightful solution. To tackle these challenges, Scalable Modeling and Efficient Management of IoT Applications emerges as a valuable resource, offering a multitude of effective solutions to address these concerns. This is a book that was meticulously crafted to empower scholars with the knowledge and tools they need. By tackling the scarcity of guidance on intelligent modeling techniques, the book equips readers with a profound understanding of the fundamental concepts, algorithms, and methodologies crucial for designing and managing intelligent IoT systems."-- |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 10/18/2024). | ||
| 650 | 0 | |a Internet of things |x Industrial applications. | |
| 653 | |a Academia. | ||
| 653 | |a Complex Challenges. | ||
| 653 | |a Comprehensive Solutions. | ||
| 653 | |a Implementation. | ||
| 653 | |a Intelligent Models. | ||
| 653 | |a Internet of Things. | ||
| 653 | |a Management Strategies. | ||
| 653 | |a Modeling Techniques. | ||
| 653 | |a Real-world Applications. | ||
| 653 | |a Research Trends. | ||
| 653 | |a Scalability. | ||
| 653 | |a Technological Landscape. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Kumar, Pushpendra |d 1989- |e editor. | |
| 700 | 1 | |a Kumar, Vinod |d 1986- |e editor. | |
| 700 | 1 | |a Lalotra, Gotam |d 1983- |e editor. | |
| 700 | 1 | |a Patel, Harshita,Dd1985- |e editor. | |
| 700 | 1 | |a Rajput, Dharmendra Singh |d 1985- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369316863 |
| 830 | 0 | |a Advances in IT standards and standardization research series (AISSR). | |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-862 | ||
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|---|---|
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| adam_text | |
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| author2 | Kumar, Pushpendra 1989- Kumar, Vinod 1986- Lalotra, Gotam 1983- Patel, Harshita,Dd1985- Rajput, Dharmendra Singh 1985- |
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| author_facet | Kumar, Pushpendra 1989- Kumar, Vinod 1986- Lalotra, Gotam 1983- Patel, Harshita,Dd1985- Rajput, Dharmendra Singh 1985- |
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| contents | Preface -- Acknowledgment -- Chapter 1. Predictive and Prescriptive Analytics for IoT: Unlocking Insights -- Chapter 2. IoT in Healthcare and Telemedicine: Revolutionizing Patient Care and Medical Practices -- Chapter 3. Revolutionizing Healthcare: IoT Powered Telemedicine Advancements -- Chapter 4. Automatic Irrigation System Using IoT -- Chapter 5. Study and Analysis of IoT-Based Telemedicine and Remote Patient Monitoring -- Chapter 6. Comparative Analysis of Detection of Diseases in Apple Tree Leaves Using ResNet and CNN -- Chapter 7. Research Review on Task Scheduling Algorithm for Green Cloud Computing -- Chapter 8. Unleashing IoT Data Insights: Data Mining and Machine Learning Techniques for Scalable Modeling and Efficient Management of IoT -- Compilation of References -- Related References -- About the Contributors -- Index. |
| ctrlnum | (CaBNVSL)slc00006886 (OCoLC)1463449911 |
| dewey-full | 004.67/8 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.67/8 |
| dewey-search | 004.67/8 |
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| 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-00329612 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:37Z |
| institution | BVB |
| isbn | 9798369316870 |
| language | English |
| oclc_num | 1463449911 |
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| physical | 20 PDFs (318 Seiten) Also available in print. |
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| publishDate | 2025 |
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| series | Advances in IT standards and standardization research series (AISSR). |
| series2 | Advances in IT standards and standardization research series (AISSR) |
| spelling | Scalable modeling and efficient management of IoT applications Dharmendra Rajput, Gotam Lalotra, Vinod Kumar, Pushpendra Kumar, Harshita Patel., editors. Scalable modeling and efficient management of internet of things applications Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2025. 20 PDFs (318 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Advances in IT standards and standardization research series (AISSR) Includes bibliographical references and index. Preface -- Acknowledgment -- Chapter 1. Predictive and Prescriptive Analytics for IoT: Unlocking Insights -- Chapter 2. IoT in Healthcare and Telemedicine: Revolutionizing Patient Care and Medical Practices -- Chapter 3. Revolutionizing Healthcare: IoT Powered Telemedicine Advancements -- Chapter 4. Automatic Irrigation System Using IoT -- Chapter 5. Study and Analysis of IoT-Based Telemedicine and Remote Patient Monitoring -- Chapter 6. Comparative Analysis of Detection of Diseases in Apple Tree Leaves Using ResNet and CNN -- Chapter 7. Research Review on Task Scheduling Algorithm for Green Cloud Computing -- Chapter 8. Unleashing IoT Data Insights: Data Mining and Machine Learning Techniques for Scalable Modeling and Efficient Management of IoT -- Compilation of References -- Related References -- About the Contributors -- Index. Restricted to subscribers or individual electronic text purchasers. "Experts continue to struggle with developing methods to effectively navigate the intricate landscape of the Internet of Things (IoT). As the IoT landscape continues to expand and influence various industries, from healthcare to smart cities and beyond, scholars often find themselves facing an absence of comprehensive guidance in navigating this evolving technological landscape. The challenges are multifaceted and include the need for intelligent modeling techniques, the intricacies of managing IoT applications, and the relentless pace of technological advancements. This issue of staying well-informed and equipped to address these challenges demands an insightful solution. To tackle these challenges, Scalable Modeling and Efficient Management of IoT Applications emerges as a valuable resource, offering a multitude of effective solutions to address these concerns. This is a book that was meticulously crafted to empower scholars with the knowledge and tools they need. By tackling the scarcity of guidance on intelligent modeling techniques, the book equips readers with a profound understanding of the fundamental concepts, algorithms, and methodologies crucial for designing and managing intelligent IoT systems."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 10/18/2024). Internet of things Industrial applications. Academia. Complex Challenges. Comprehensive Solutions. Implementation. Intelligent Models. Internet of Things. Management Strategies. Modeling Techniques. Real-world Applications. Research Trends. Scalability. Technological Landscape. Electronic books. Kumar, Pushpendra 1989- editor. Kumar, Vinod 1986- editor. Lalotra, Gotam 1983- editor. Patel, Harshita,Dd1985- editor. Rajput, Dharmendra Singh 1985- editor. IGI Global, publisher. Print version: 9798369316863 Advances in IT standards and standardization research series (AISSR). |
| spellingShingle | Scalable modeling and efficient management of IoT applications Advances in IT standards and standardization research series (AISSR). Preface -- Acknowledgment -- Chapter 1. Predictive and Prescriptive Analytics for IoT: Unlocking Insights -- Chapter 2. IoT in Healthcare and Telemedicine: Revolutionizing Patient Care and Medical Practices -- Chapter 3. Revolutionizing Healthcare: IoT Powered Telemedicine Advancements -- Chapter 4. Automatic Irrigation System Using IoT -- Chapter 5. Study and Analysis of IoT-Based Telemedicine and Remote Patient Monitoring -- Chapter 6. Comparative Analysis of Detection of Diseases in Apple Tree Leaves Using ResNet and CNN -- Chapter 7. Research Review on Task Scheduling Algorithm for Green Cloud Computing -- Chapter 8. Unleashing IoT Data Insights: Data Mining and Machine Learning Techniques for Scalable Modeling and Efficient Management of IoT -- Compilation of References -- Related References -- About the Contributors -- Index. Internet of things Industrial applications. |
| title | Scalable modeling and efficient management of IoT applications |
| title_alt | Scalable modeling and efficient management of internet of things applications |
| title_auth | Scalable modeling and efficient management of IoT applications |
| title_exact_search | Scalable modeling and efficient management of IoT applications |
| title_full | Scalable modeling and efficient management of IoT applications Dharmendra Rajput, Gotam Lalotra, Vinod Kumar, Pushpendra Kumar, Harshita Patel., editors. |
| title_fullStr | Scalable modeling and efficient management of IoT applications Dharmendra Rajput, Gotam Lalotra, Vinod Kumar, Pushpendra Kumar, Harshita Patel., editors. |
| title_full_unstemmed | Scalable modeling and efficient management of IoT applications Dharmendra Rajput, Gotam Lalotra, Vinod Kumar, Pushpendra Kumar, Harshita Patel., editors. |
| title_short | Scalable modeling and efficient management of IoT applications |
| title_sort | scalable modeling and efficient management of iot applications |
| topic | Internet of things Industrial applications. |
| topic_facet | Internet of things Industrial applications. Electronic books. |
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