Emerging trends in data driven computing and communications : proceedings of DDCIoT 2021

Emerging trends in data driven computing and communications : proceedings of DDCIoT 2021 / Rajeev Mathur, C.P. Gupta, Vaibhav Katewa, Dharm Singh Jat, Neha Yadav, editors.

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 2021, 2021...

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Bibliographic Details
Corporate Author: DDCIoT (Conference) Kota, India)
Other Authors: Mathur, Rajeev, Gupta, C. P. (Chandra Prakash), Dr, Katewa, Vaibhav, Jat, Dharm Singh, Yadav, Neha
Format: eBook
Language:English
Published: Singapore : Springer, 2021.
Series:Studies in autonomic, data-driven and industrial computing.
Subjects:
Internet of things > Congresses.
Machine learning > Congresses.
Internet of things
Machine learning
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of 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.

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