Analysis of Machine Learning Solutions for Edge Computing: A Systematic Literature Review
- Wilson Perez
Publication date
June 2021
DOIAbstract
Analysis of Machine Learning Solutions for Edge Computing: A Systematic Literature Revie
Analysis of Machine Learning Solutions for Edge Computing: A Systematic Literature Revie
Deploying machine learning applications on edge devices can bring clear benefits such as improved re...
Computer science and engineering have evolved rapidly over the last decade offering innovative Machi...
Recent years have seen widespread application of machine learning (ML) to a diverse range of industr...
Analysis of Machine Learning Solutions for Edge Computing: A Systematic Literature Revie
Publisher Copyright: © 2022, The Author(s).The maturity of machine learning (ML) development and the...
Last twenty years have seen the explosive growth of information technology, and we have stepped into...
With the development and expansion of the Internet of Things, computing at the edge is becoming incr...
Edge detection is a fundamental aspect of image processing and computer vision. It is used to detect...
With the use of edge technology, cloud resources (particularly computing, storage, and network) will...
Recent advancement in Deep Learning for Image Classification and Perception tasks have contributed t...
This article presents the results of research with the main goal of identifying possible application...
Resource management in computing is a very challenging problem that involves making sequential decis...
One of the widely used research area in todays world is artificial intelligence and one of the scope...
Recent developments in Artificial Intelligence (AI) research enable new strategies for running Machi...
The edge computing paradigm has recently started to gain a lot of momentum. The field of Artificial ...
Deploying machine learning applications on edge devices can bring clear benefits such as improved re...
Computer science and engineering have evolved rapidly over the last decade offering innovative Machi...
Recent years have seen widespread application of machine learning (ML) to a diverse range of industr...
Analysis of Machine Learning Solutions for Edge Computing: A Systematic Literature Revie
Publisher Copyright: © 2022, The Author(s).The maturity of machine learning (ML) development and the...
Last twenty years have seen the explosive growth of information technology, and we have stepped into...
With the development and expansion of the Internet of Things, computing at the edge is becoming incr...
Edge detection is a fundamental aspect of image processing and computer vision. It is used to detect...
With the use of edge technology, cloud resources (particularly computing, storage, and network) will...
Recent advancement in Deep Learning for Image Classification and Perception tasks have contributed t...
This article presents the results of research with the main goal of identifying possible application...
Resource management in computing is a very challenging problem that involves making sequential decis...
One of the widely used research area in todays world is artificial intelligence and one of the scope...
Recent developments in Artificial Intelligence (AI) research enable new strategies for running Machi...
The edge computing paradigm has recently started to gain a lot of momentum. The field of Artificial ...
Deploying machine learning applications on edge devices can bring clear benefits such as improved re...
Computer science and engineering have evolved rapidly over the last decade offering innovative Machi...
Recent years have seen widespread application of machine learning (ML) to a diverse range of industr...
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