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pro vyhledávání: '"Mustapha, Norwati"'
Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and artificial intelligence (AI), outperforming traditional ML methods, especially in handling unstructured and large datasets. Its impact spans across various domains, incl
Externí odkaz:
http://arxiv.org/abs/2305.17473
Autor:
Shiri, Farhad MortezaPour, Perumal, Thinagaran, Mustapha, Norwati, Mohamed, Raihani, Ahmadon, Mohd Anuaruddin Bin, Yamaguchi, Shingo
Human activity recognition (HAR) is a rapidly growing field that utilizes smart devices, sensors, and algorithms to automatically classify and identify the actions of individuals within a given environment. These systems have a wide range of applicat
Externí odkaz:
http://arxiv.org/abs/2304.12304
Akademický článek
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Publikováno v:
Indonesian Journal of Electrical Engineering & Computer Science; Oct2024, Vol. 36 Issue 1, p188-196, 9p
Publikováno v:
Bulletin of Electrical Engineering & Informatics; Oct2024, Vol. 13 Issue 5, p3686-3694, 9p
Akademický článek
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Publikováno v:
In Expert Systems With Applications 15 May 2020 146
Autor:
Khalilian, Madjid, Mustapha, Norwati
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many applications are interesting for researchers. We can identify two main gro
Externí odkaz:
http://arxiv.org/abs/1006.5261
Publikováno v:
International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 3, pp. 230-237, December 2009, USA
Certainly, nowadays knowledge discovery or extracting knowledge from large amount of data is a desirable task in competitive businesses. Data mining is a main step in knowledge discovery process. Meanwhile frequent patterns play central role in data
Externí odkaz:
http://arxiv.org/abs/1001.2275
Publikováno v:
International Journal of Computer Science and Information Security, IJCSIS, Vol. 5, No. 1, pp. 168-174, September 2009, USA
TIntelligent multi agent systems have great potentials to use in different purposes and research areas. One of the important issues to apply intelligent multi agent systems in real world and virtual environment is to develop a framework that support
Externí odkaz:
http://arxiv.org/abs/0910.2029