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ICGST Journal of Artificial Intelligence and Machine Learning

ISSN(p):1687-4846 | ISSN(e):1687-4854
Details
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Indexed Journal

ICGST Journal of Artificial Intelligence and Machine Learning

E-ISSN 1687-4854
P-ISSN 1687-4846
Publisher Name ICGST LLC, Delaware, USA
Email editor@icgst.com
Language English
Starting Year 2004
Discipline Scientific Research
Frequency Monthly
Website http://www.icgst.com/journals/journal.aspx?subid=40
Country United States
Accessing Method Open Access
Articles Format PDF
License Type Normal
Description ICGST-AIML provides an interdisciplinary forum in which researchers and AI professionals can share their knowledge, experience and report new advances on AI techniques. It is a medium for promoting general and special purpose tools, which are very essential for the evolution of conventional and new subjects of artificial intelligence and machine learning. AIML aims also to manage the industrial and academic cooperation in leading high-standard projects.
Impact Factor
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1.533 (2014-2015)
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1.731 (2015-2016)
...
1.784 (2016-2017)
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1.831 (2017-2018)
...
2.144 (2018-2019)
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1.533 (2014-2015)
...
1.731 (2015-2016)
...
1.784 (2016-2017)
...
1.831 (2017-2018)
...
2.144 (2018-2019)

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