Cloud Computing Technologies for Smart Agriculture and Healthcare
Herausgeber: Shrawankar, Urmila; Arora, Sandhya; Malik, Latesh
Cloud Computing Technologies for Smart Agriculture and Healthcare
Herausgeber: Shrawankar, Urmila; Arora, Sandhya; Malik, Latesh
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The book aims to cover the cloud management and framework. It discusses how cloud computing framework can be integrated with fog computing, edge computing, deep learning and IOT. This book is primarily aimed at graduates and researchers to understand the echo system of cloud technology for agriculture and healthcare.
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The book aims to cover the cloud management and framework. It discusses how cloud computing framework can be integrated with fog computing, edge computing, deep learning and IOT. This book is primarily aimed at graduates and researchers to understand the echo system of cloud technology for agriculture and healthcare.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 320
- Erscheinungstermin: 7. Oktober 2024
- Englisch
- Abmessung: 254mm x 178mm x 18mm
- Gewicht: 585g
- ISBN-13: 9781032156071
- ISBN-10: 1032156074
- Artikelnr.: 71604739
- Verlag: Taylor & Francis Ltd (Sales)
- Seitenzahl: 320
- Erscheinungstermin: 7. Oktober 2024
- Englisch
- Abmessung: 254mm x 178mm x 18mm
- Gewicht: 585g
- ISBN-13: 9781032156071
- ISBN-10: 1032156074
- Artikelnr.: 71604739
Urmila Shrawankar received PhD degree in Computer Sci & Engg from SGB Amravati University and M.Tech. degree in Computer Sci & Engg from RTM Nagpur university. Her Area of interest includes High performance Computing, Advanced Operating Systems, Distributed and Parallel computing, Cloud Computing, Real Time Computing, Algorithms, Assistive Technology etc. She is author of two books, three books editor, nine book chapters and around 200 research papers in International Journals and Conferences of high repute. She has published 16 patents. Her biography was selected and published in the Marquis Who's Who in the World. She received International travel grant award from DST, Govt. of India, awarded UGC Minor Project Grant and RGSTC : Rajiv Gandhi Science and Technology Commission, Government of Maharashtra, India, Science and Technology Research Grant Scheme for 2 projects. She is serving many journals as editorial board member and as member, international advisory board. Moreover, she is serving as reviewer for many refereed Journals and reputed Conferences. She participated in many International conferences worldwide as a core organizing committee member, Technical program committee member, Special session chair and Session Chair. She has delivered 50+ expert lectures on various topics for different universities. Dr Urmila is member of IEEE, ACM, CSI, ISTE, IE, IAENG, etc. Under her guidance 15 industry based projects, 51 UG (BE) Project Groups, 72 (PG) MTech Project Scholars and one ME by Research Scholar completed their projects and 03 PhD Research Scholars are working. At present, Dr. Urmila is a Professor, Department of Computer Science and Engineering, G H Raisoni College of Engineering, affiliated to RTM Nagpur University Nagpur (MS), India. Dr. Latesh Malik is working as Associate Professor & Head,Department of Computer Science & Engg, Government College of Engineering, Nagpur. She has completed Ph.D. (Computer Science & Engineering) from Visvesyaraya National Institute of Technology in 2010, M.Tech. (Computer Science & Engineering) from Banasthali Vidyapith, Rajasthan, India and B.E. (Computer Engineering) from University of Rajasthan, India . She is gold medalist in B.E. and M.Tech. She has teaching experience of 20+ years. She is life member of ISTE, CSI, ACM and has more than 160 papers published in International Journal & Conferences. She is recipient of 2 RPS and 1 MODROBs by AICTE. She guided 30+ PG projects and 8 students completed Ph.D under her. She is author of three books " Practical guide to distributed systems in MPI" and "Python for Data Analysis" on Amazon Kindle Direct Publishing and "R programming for beginners" by University Press India. Dr. Sandhya Arora is working as Professor, Department of Computer Enginering, MKSSS's Cummins College of Engineering for Women, Pune. She has completed Ph.D. (Computer Science & Engineering) from Jadavpur University, Kolkata in 2012, M.Tech. (Computer Science & Engineering) from Banasthali Vidyapith, Rajasthan, India and B.E. (Computer Engineering) from University of Rajasthan, India. She has rich teaching experience of 22+ years. She is life member of ISTE, CSI, ACM and has published papers in thoroughly acclaimed International Journal & Conferences. She is guiding PG and PhD students. She has received prestigious awards in the field of Computer Science. She authored two books "Practical guide to distributed systems in MPI" and "Python for Data Analysis" on Amazon Kindle Direct Publishing.
Section I: Cloud Management
Chapter 1. Virtualization Technology for Cloud-Based Services. Chapter 2.
Hybrid Cloud Architecture for Better Cloud Interoperability. Chapter 3.
Autoscaling Techniques for Web Applications in the Cloud. Chapter 4.
Community Cloud Service Model for People with Special Needs
Section II: Cloud for Agriculture
Chapter 5. Sensor Applications in Agriculture - A Review. Chapter 6. Crop
Biophysical Parameters Estimation using SAR Imagery for Precision
Agriculture Applications. Chapter 7. Importance of Cloud Computing
Technique in Agriculture Field Using Different Methodologies. Chapter 8.
Optimal Clustering Scheme for Cloud Operations Management Over Mobile Ad
Hoc Network of Crop Systems. Chapter 9. A Novel Hybrid Method for Cloud
Security Using Efficient IDS for Agricultural Weather Forecasting Systems
Section III: Cloud for Healthcare
Chapter 10. Cloud Model for Real-Time Healthcare Services. Chapter 11.
Cloud Computing-Based Smart Healthcare System. Chapter 12. Rehearsal of
Cloud and IoT Devices in Health Care System. Chapter 13. Cloud-Based
Diagnostic and Management Framework for Remote Health Monitoring. Chapter
14. Efficient Accessibility in Cloud Databases of Health Networks with
Natural Neighbor Approach for RNN-DBSCAN. Chapter 15. Blood Oxygen Level
And Pulse Rate Monitoring Using IoT and Cloud-Based Data Storage. Chapter
16. Parkinson Disease Prediction Model and Deployment on AWS Cloud.
Chapter 17. Federated Learning for Brain Tumor Segmentation on the Cloud.
Chapter 18. Smart System for COVID-19 Susceptibility Test and Prediction of
Risk along with Validation of Guidelines Conformity using Cloud. Chapter
19. Designing of Policy Data Prediction Framework in Cloud for Trending
COVID-19 Issues over Social Media
Chapter 1. Virtualization Technology for Cloud-Based Services. Chapter 2.
Hybrid Cloud Architecture for Better Cloud Interoperability. Chapter 3.
Autoscaling Techniques for Web Applications in the Cloud. Chapter 4.
Community Cloud Service Model for People with Special Needs
Section II: Cloud for Agriculture
Chapter 5. Sensor Applications in Agriculture - A Review. Chapter 6. Crop
Biophysical Parameters Estimation using SAR Imagery for Precision
Agriculture Applications. Chapter 7. Importance of Cloud Computing
Technique in Agriculture Field Using Different Methodologies. Chapter 8.
Optimal Clustering Scheme for Cloud Operations Management Over Mobile Ad
Hoc Network of Crop Systems. Chapter 9. A Novel Hybrid Method for Cloud
Security Using Efficient IDS for Agricultural Weather Forecasting Systems
Section III: Cloud for Healthcare
Chapter 10. Cloud Model for Real-Time Healthcare Services. Chapter 11.
Cloud Computing-Based Smart Healthcare System. Chapter 12. Rehearsal of
Cloud and IoT Devices in Health Care System. Chapter 13. Cloud-Based
Diagnostic and Management Framework for Remote Health Monitoring. Chapter
14. Efficient Accessibility in Cloud Databases of Health Networks with
Natural Neighbor Approach for RNN-DBSCAN. Chapter 15. Blood Oxygen Level
And Pulse Rate Monitoring Using IoT and Cloud-Based Data Storage. Chapter
16. Parkinson Disease Prediction Model and Deployment on AWS Cloud.
Chapter 17. Federated Learning for Brain Tumor Segmentation on the Cloud.
Chapter 18. Smart System for COVID-19 Susceptibility Test and Prediction of
Risk along with Validation of Guidelines Conformity using Cloud. Chapter
19. Designing of Policy Data Prediction Framework in Cloud for Trending
COVID-19 Issues over Social Media
Section I: Cloud Management
Chapter 1. Virtualization Technology for Cloud-Based Services. Chapter 2.
Hybrid Cloud Architecture for Better Cloud Interoperability. Chapter 3.
Autoscaling Techniques for Web Applications in the Cloud. Chapter 4.
Community Cloud Service Model for People with Special Needs
Section II: Cloud for Agriculture
Chapter 5. Sensor Applications in Agriculture - A Review. Chapter 6. Crop
Biophysical Parameters Estimation using SAR Imagery for Precision
Agriculture Applications. Chapter 7. Importance of Cloud Computing
Technique in Agriculture Field Using Different Methodologies. Chapter 8.
Optimal Clustering Scheme for Cloud Operations Management Over Mobile Ad
Hoc Network of Crop Systems. Chapter 9. A Novel Hybrid Method for Cloud
Security Using Efficient IDS for Agricultural Weather Forecasting Systems
Section III: Cloud for Healthcare
Chapter 10. Cloud Model for Real-Time Healthcare Services. Chapter 11.
Cloud Computing-Based Smart Healthcare System. Chapter 12. Rehearsal of
Cloud and IoT Devices in Health Care System. Chapter 13. Cloud-Based
Diagnostic and Management Framework for Remote Health Monitoring. Chapter
14. Efficient Accessibility in Cloud Databases of Health Networks with
Natural Neighbor Approach for RNN-DBSCAN. Chapter 15. Blood Oxygen Level
And Pulse Rate Monitoring Using IoT and Cloud-Based Data Storage. Chapter
16. Parkinson Disease Prediction Model and Deployment on AWS Cloud.
Chapter 17. Federated Learning for Brain Tumor Segmentation on the Cloud.
Chapter 18. Smart System for COVID-19 Susceptibility Test and Prediction of
Risk along with Validation of Guidelines Conformity using Cloud. Chapter
19. Designing of Policy Data Prediction Framework in Cloud for Trending
COVID-19 Issues over Social Media
Chapter 1. Virtualization Technology for Cloud-Based Services. Chapter 2.
Hybrid Cloud Architecture for Better Cloud Interoperability. Chapter 3.
Autoscaling Techniques for Web Applications in the Cloud. Chapter 4.
Community Cloud Service Model for People with Special Needs
Section II: Cloud for Agriculture
Chapter 5. Sensor Applications in Agriculture - A Review. Chapter 6. Crop
Biophysical Parameters Estimation using SAR Imagery for Precision
Agriculture Applications. Chapter 7. Importance of Cloud Computing
Technique in Agriculture Field Using Different Methodologies. Chapter 8.
Optimal Clustering Scheme for Cloud Operations Management Over Mobile Ad
Hoc Network of Crop Systems. Chapter 9. A Novel Hybrid Method for Cloud
Security Using Efficient IDS for Agricultural Weather Forecasting Systems
Section III: Cloud for Healthcare
Chapter 10. Cloud Model for Real-Time Healthcare Services. Chapter 11.
Cloud Computing-Based Smart Healthcare System. Chapter 12. Rehearsal of
Cloud and IoT Devices in Health Care System. Chapter 13. Cloud-Based
Diagnostic and Management Framework for Remote Health Monitoring. Chapter
14. Efficient Accessibility in Cloud Databases of Health Networks with
Natural Neighbor Approach for RNN-DBSCAN. Chapter 15. Blood Oxygen Level
And Pulse Rate Monitoring Using IoT and Cloud-Based Data Storage. Chapter
16. Parkinson Disease Prediction Model and Deployment on AWS Cloud.
Chapter 17. Federated Learning for Brain Tumor Segmentation on the Cloud.
Chapter 18. Smart System for COVID-19 Susceptibility Test and Prediction of
Risk along with Validation of Guidelines Conformity using Cloud. Chapter
19. Designing of Policy Data Prediction Framework in Cloud for Trending
COVID-19 Issues over Social Media