Special Issue on Machine Learning and
Applications
Machine learning algorithms build a mathematical model based on sample
data, known as "training data", in order to make predictions or
decisions without being explicitly programmed to do so. Machine learning
algorithms are used in a wide variety of applications, such as email filtering
and computer vision, where it is difficult or infeasible to develop
conventional algorithms to perform the needed tasks.
In this special issue, we intend to invite front-line
researchers and authors to submit original research and review articles on Machine Learning and Applications. Potential topics include, but are not limited
to:
-
Machine learning algorithms
-
Support vector machines algorithm
-
Genetic algorithms and evolutionary computation
-
ANN in machine learning
-
Reinforcement learning
-
Unsupervised learning
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Pattern analysis and machine intelligence
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Knowledge-based systems
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Intelligent systems and technology
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Image recognition
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Computer vision
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Sentiment analysis
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Natural language processing
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Machine translation
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AI and robotics
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Deep learning for industry
-
Transportation
and commuting
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Medical services
-
Machine
learning and IoT
Authors should read over the journal’s For Authors carefully before submission. Prospective
authors should submit an electronic copy of their complete manuscript through
the journal’s Paper Submission System.
Please kindly notice that the “Special Issue”
under your manuscript title is supposed to be specified and the research field
“Special Issue – Machine Learning and
Applications” should be chosen during your submission.
According to the
following timetable:
Submission Deadline
|
July 22nd 2022
|
Publication Date
|
September 2022
|
For
publishing inquiries, please feel free to contact the Editorial Assistant at submission.entrance1@scirp.org
JSEA
Editorial Office
jsea@scirp.org