Implementing Machine Learning Techniques to Enhance Real-Time Data Analysis Services-Reference-Cited by-同舟云学术

Implementing Machine Learning Techniques to Enhance Real-Time Data Analysis Services

Published:2023-12-29 Issue: Volume:4 Page:1-7
ISSN:
Container-title:2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON)
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Author:

J Jaisudha¹,Dhabliya Dharmesh²,B E Narasimhayya³,Singh Akhilendra Pratap⁴,Sinha Sanjay Kumar⁵,Vashisht Nitish⁶

Affiliation:

1. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Electronics and Communication Engineering,Chennai,127

2. Vishwakarma Institute of Information Technology,Department of Information Technology,Pune,Maharashtra,India

3. JAIN (Deemed-to-be University),Computer Science and Engineering, Faculty of Engineering and Technology,Bangalore,Karnataka,India

4. Maharishi School of Engineering and Technology, Maharishi University of Information Technology,Uttar Pradesh,India

5. Vivekananda Global University,Department of Computer Science & Engineering,Jaipur,India

6. Chitkara University Institute of Engineering and technology, Chitkara University,Centre of Interdisciplinary Research in Business and Technology,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10441789/10441802/10442318.pdf?arnumber=10442318

Reference17 articles.

1. Enhance-Net: An Approach to Boost the Performance of Deep Learning Model Based on Real-Time Medical Images

2. Cloud-Based Fault Prediction for Real-Time Monitoring of Sensor Data in Hospital Environment Using Machine Learning

3. Data Fusion-Based Machine Learning Architecture for Intrusion Detection

4. An enhanced deep learning based framework for web attacks detection, mitigation and attacker profiling

5. Thermo-electro-environmental analysis of a photovoltaic solar panel using machine learning and real-time data for smart and sustainable energy generation