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Emerging Trends in Data Driven Computing and Communications : Proceedings of DDCIoT 2021 / edited by Rajeev Mathur, C. P. Gupta, Vaibhav Katewa, Dharm Singh Jat, Neha Yadav.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Studies in autonomic, data-driven and industrial computing 2730-6445
- Studies in Autonomic, Data-driven and Industrial Computing, 2730-6445
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Internet of things.
- Artificial intelligence.
- Wireless communication systems.
- Mobile communication systems.
- Quantitative research.
- Computational Intelligence.
- Internet of Things.
- Artificial Intelligence.
- Wireless and Mobile Communication.
- Data Analysis and Big Data.
- Local Subjects:
- Computational Intelligence.
- Internet of Things.
- Artificial Intelligence.
- Wireless and Mobile Communication.
- Data Analysis and Big Data.
- Physical Description:
- 1 online resource (XII, 354 pages) : 174 illustrations, 142 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- This book includes best selected, high-quality research papers presented at International Conference on Data Driven Computing and IoT (DDCIoT 2021) organized jointly by Geetanjali Institute of Technical Studies (GITS), Udaipur, and Rajasthan Technical University, Kota, India, during March 20-21, 2021. This book presents influential ideas and systems in the field of data driven computing, information technology, and intelligent systems.
- Contents:
- Hybrid Deep Learning Model for Real-time Detection of Denial of Service Attacks in Software Defined Networks
- CP-ABE Scheme with Decryption Keys of Constant Size using ECC with Expressive Threshold Access Structure
- Facial Expressions Recognization Based on DRLBP and CNN Classification
- Post Stroke Readmission Prediction Model Using Machine Learning Algorithms
- Handwriting Recognition Using Deep Learning
- A Theoretical Approach to Reinforcement Learning Algorithm and Nash Equilibrium to Maximize the Score in Imperfect Information Game
- A Review Paper on Sign Language Recognition using Machine Learning Techniques
- Deep Learning Methods for the Prediction of Chronic Diseases: A systematic review
- Cyber Infrastructure for Advanced Research with High Performance Edge Computing
- A Literature Review on Machine Learning Techniques and Strategies Applied to Stock Market Price Prediction.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-16-3915-9
- 9789811639159
- Access Restriction:
- Restricted for use by site license.
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