Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Tareq Z. Ahram"'
Publikováno v:
The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology. 19:133-144
Researchers and software users benefit from the rapid growth of artificial intelligence (AI) to an unprecedented extent in various domains where automated intelligent action is required. However, as they continue to engage with AI, they also begin to
Autor:
Jozef Zurada, Waldemar Karwowski, Awad M. Aljuaid, Mohammad Reza Davahli, Tareq Z. Ahram, Krzysztof Fiok, Maciej Wilamowski, Edgar Gutierrez-Franco
Publikováno v:
IEEE Access, Vol 9, Pp 105439-105450 (2021)
The performance of text classification methods has improved greatly over the last decade for text instances of less than 512 tokens. This limit has been adopted by most state-of-the-research transformer models due to the high computational cost of an
Autor:
Edgar Gutierrez, Waldemar Karwowski, Mohammad Reza Davahli, Maciej Wilamowski, Krzysztof Fiok, Tareq Z. Ahram
Publikováno v:
Applied Sciences, Vol 11, Iss 8554, p 8554 (2021)
Applied Sciences
Volume 11
Issue 18
Applied Sciences
Volume 11
Issue 18
The quality of text classification has greatly improved with the introduction of deep learning, and more recently, models using attention mechanism. However, to address the problem of classifying text instances that are longer than the length limit a
Autor:
Edgar Gutierrez, David Kern, Tadeusz Marek, Waldemar Karwowski, Tareq Z. Ahram, Atsuo Murata, Nabin Sapkota
Publikováno v:
Applied Ergonomics. 79:169-177
The primary objective of this study was to examine the complexity of human temporal variability of topside roving watch task in naval operations concerning the reported times of ship status and to explore the potential presence of chaotic behavior an
Drawing on contributions from various manufacturing fields, this book offers a comprehensive perspective by combining theoretical concepts with practical applications. It emphasizes future developments, the integration of technologies, and the crucia
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030553067
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cb898887ca1cec557c1276321746773
https://doi.org/10.1007/978-3-030-55307-4
https://doi.org/10.1007/978-3-030-55307-4
Publikováno v:
Human Interaction, Emerging Technologies and Future Applications III ISBN: 9783030553067
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91797a34cb2e3f3649992ac60a87c4ce
https://doi.org/10.1007/978-3-030-55307-4_96
https://doi.org/10.1007/978-3-030-55307-4_96
Publikováno v:
Symmetry
Volume 12
Issue 6
Symmetry, Vol 12, Iss 1054, p 1054 (2020)
Volume 12
Issue 6
Symmetry, Vol 12, Iss 1054, p 1054 (2020)
Social media users, including organizations, often struggle to acquire the maximum number of responses from other users, but predicting the responses that a post will receive before publication is highly desirable. Previous studies have analyzed why
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030395117
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7acf0ff26c481f36896d010353ec8b29
https://doi.org/10.1007/978-3-030-39512-4_197
https://doi.org/10.1007/978-3-030-39512-4_197