Applied learning algorithms for intelligent IoT. (2021)
- Record Type:
- Book
- Title:
- Applied learning algorithms for intelligent IoT. (2021)
- Main Title:
- Applied learning algorithms for intelligent IoT
- Further Information:
- Note: Edited by Pethuru Raj Chelliah, Usha Sakthivel, Susila Nagarajan.
- Editors:
- Chelliah, Pethuru Raj, 1968-
Sakthivel, Usha
Nagarajan, Susila - Contents:
- 1. Convolutional Neural Network in Computer Vision ; Aishwarya D and R.I.Minu 2. Trends and Transition in the Machine Learning (ML) Space; Sruthi Anand, N Susila, and S Usha 3. Deep Learning: Algorithms, Platforms, Applications, and Research Trends in IoT; R. Ranjana, T. Sheela, B. Narendra Kumar Rao, and T. Subha 4. The Next-Generation IoT Use Cases across Industry Verticals using Machine and Deep Learning Algorithms; Kalaiarasan T R, Sruthi Anand, V Anandkuma, and Ratheeshkumar A.M. 5. A Panoramic View of Cyber Attack Detection and Prevention Using Machine Learning and Deep Learning Approaches; Esther Daniel, N. Susila, and S. Durga 6. Regression Algorithms in Machine Learning; S. Usha, Neha Singhal, Pethuru Raj, and Ashwini R Malipatil 7. Machine Learning Based Industrial Internet of Things (IIoT) and Its Applications; M. Sureshkumar, Rachel S, and Kaviselvan M V 8. Employee Turnover Prediction Using Single Voting Model; R. Valarmathi, M. Umadevi, and T. Sheela 9. A Novel Implementation of Sentiment Analysis towards Data Science; Vijayalakshmi Saravanan, Ishpreet Singh, Emanuel Szarek, Jereon Hak, and Anju S Pillai 10. Conspectus of K-Means Clustering Algorithm; S.Usha, Jyothi A P, N Susila, and T. Sheela 11. Systematic Approach to Deal with Internal Fragmentation and Enhancing Memory Space during COVID-19; Aparna Mohan, Maheswari R, and Thomas Abraham J. V. 12. IoT Automated Spy Drone to Detect and Alert Illegal Drug Plants for Law Enforcement; Gotluru Arun Kumar,1. Convolutional Neural Network in Computer Vision ; Aishwarya D and R.I.Minu 2. Trends and Transition in the Machine Learning (ML) Space; Sruthi Anand, N Susila, and S Usha 3. Deep Learning: Algorithms, Platforms, Applications, and Research Trends in IoT; R. Ranjana, T. Sheela, B. Narendra Kumar Rao, and T. Subha 4. The Next-Generation IoT Use Cases across Industry Verticals using Machine and Deep Learning Algorithms; Kalaiarasan T R, Sruthi Anand, V Anandkuma, and Ratheeshkumar A.M. 5. A Panoramic View of Cyber Attack Detection and Prevention Using Machine Learning and Deep Learning Approaches; Esther Daniel, N. Susila, and S. Durga 6. Regression Algorithms in Machine Learning; S. Usha, Neha Singhal, Pethuru Raj, and Ashwini R Malipatil 7. Machine Learning Based Industrial Internet of Things (IIoT) and Its Applications; M. Sureshkumar, Rachel S, and Kaviselvan M V 8. Employee Turnover Prediction Using Single Voting Model; R. Valarmathi, M. Umadevi, and T. Sheela 9. A Novel Implementation of Sentiment Analysis towards Data Science; Vijayalakshmi Saravanan, Ishpreet Singh, Emanuel Szarek, Jereon Hak, and Anju S Pillai 10. Conspectus of K-Means Clustering Algorithm; S.Usha, Jyothi A P, N Susila, and T. Sheela 11. Systematic Approach to Deal with Internal Fragmentation and Enhancing Memory Space during COVID-19; Aparna Mohan, Maheswari R, and Thomas Abraham J. V. 12. IoT Automated Spy Drone to Detect and Alert Illegal Drug Plants for Law Enforcement; Gotluru Arun Kumar, PuluguYamini, and Maheswari R 13. Expounding K-Means-inspired Network Partitioning Algorithm for SDN Controller Placement ; Pushpa J. and Pethuru Raj 14. An Intelligent Deep Learning Based Wireless Underground Sensor System for IoT Based Agricultural Application; Priscilla Rajadurai and G. Jaspher W. Kathrine 15. Predicting Effectiveness of Solar Pond Heat Exchanger with LTES Containing CUO Nanoparticle Using Machine Learning; K Karunamurthy, G Suganya, M Ananthi, and T Subha … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Auerbach
- Publication Date:
- 2021
- Extent:
- 1 online resource, illustrations (black and white)
- Subjects:
- 006.31
Machine learning
Algorithms
Internet of things - Languages:
- English
- ISBNs:
- 9781000461367
9781000461350
9781003119838 - Related ISBNs:
- 9780367635947
- Notes:
- Note: Description based on CIP data; resource not viewed.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.644042
- Ingest File:
- 06_038.xml