International audienceThe twenty-five papers in this special cluster issue focus on machine learning applications in electromagnetics. The terms “machine learning” and “artificial intelligence” were coined in the mid-1950s, but their mathematical foundations were rooted many decades earlier. While the term “artificial intelligence” (AI for short) has a broader context encompassing many different domains from neuroscience to algorithm development in computer science, the term “machine learning” (ML for short) focuses on the practical aspect of AI, i.e., applying mathematics to solve unique problems and to teach them to machines. ML methods can focus on creating suitable algorithms to solve novel problems or to automate existing solutions mai...
Today, mankind has an easier life due to the advancement of science. Machine learning is an example ...
We are delighted to introduce this special section of the IEEE TRANSACTIONS ON COGNITIVE COMMUNICATI...
The papers in this special issue focus on collaborative machine learning for next generation intelli...
International audienceThe twenty-five papers in this special cluster issue focus on machine learning...
Computational Intelligence (CI) is the theory, design, application and development of biologically a...
As an integral part of the electromagnetic system, antennas are becoming more advanced and versatile...
This guest editorial summarizes the Special Section on Machine Learning in Optics
Recent years have seen widespread application of machine learning (ML) to a diverse range of industr...
TO BORROW from the inaugural editorial of this Journal,that signal processing is always at the heart...
The use of computational algorithms, implemented on a computer, to extract information from data has...
The Second Call for Papers of the Series on Machine Learning in Communications and Networks has cont...
Abstract: Machine learning, which builds on ideas in computer science, statistics, and optimization...
It is our great pleasure to present this special issue on Extreme learning machine (ELM) and applica...
Machine learning and data driven approaches have recently received much attention as a key enabler f...
The third call for papers of the Series on Machine Learning in Communications and Networks has conti...
Today, mankind has an easier life due to the advancement of science. Machine learning is an example ...
We are delighted to introduce this special section of the IEEE TRANSACTIONS ON COGNITIVE COMMUNICATI...
The papers in this special issue focus on collaborative machine learning for next generation intelli...
International audienceThe twenty-five papers in this special cluster issue focus on machine learning...
Computational Intelligence (CI) is the theory, design, application and development of biologically a...
As an integral part of the electromagnetic system, antennas are becoming more advanced and versatile...
This guest editorial summarizes the Special Section on Machine Learning in Optics
Recent years have seen widespread application of machine learning (ML) to a diverse range of industr...
TO BORROW from the inaugural editorial of this Journal,that signal processing is always at the heart...
The use of computational algorithms, implemented on a computer, to extract information from data has...
The Second Call for Papers of the Series on Machine Learning in Communications and Networks has cont...
Abstract: Machine learning, which builds on ideas in computer science, statistics, and optimization...
It is our great pleasure to present this special issue on Extreme learning machine (ELM) and applica...
Machine learning and data driven approaches have recently received much attention as a key enabler f...
The third call for papers of the Series on Machine Learning in Communications and Networks has conti...
Today, mankind has an easier life due to the advancement of science. Machine learning is an example ...
We are delighted to introduce this special section of the IEEE TRANSACTIONS ON COGNITIVE COMMUNICATI...
The papers in this special issue focus on collaborative machine learning for next generation intelli...