Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Hassanat, Ahmad B."'
Autor:
Hassanat, Ahmad B.1 (AUTHOR) hasanat@mutah.edu.jo, Alqaralleh, Mohammad Khaled1 (AUTHOR) halaseh@mutah.edu.jo, Tarawneh, Ahmad S.1 (AUTHOR) hasanat@mutah.edu.jo, Almohammadi, Khalid2 (AUTHOR) kalmohammadi@ut.edu.sa, Alamri, Maha3 (AUTHOR) m.alamri@bu.edu.sa, Alzahrani, Abdulkareem4 (AUTHOR) ao.alzahrani@bu.edu.sa, Altarawneh, Ghada A.5 (AUTHOR) ghadaa@mutah.edu.jo, Alhalaseh, Rania1 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Nov2024, Vol. 12 Issue 22, p3623. 20p.
For the last two decades, oversampling has been employed to overcome the challenge of learning from imbalanced datasets. Many approaches to solving this challenge have been offered in the literature. Oversampling, on the other hand, is a concern. Tha
Externí odkaz:
http://arxiv.org/abs/2202.03579
Autor:
Hassanat, Ahmad B., Altarawneh, Ghada A., Tarawneh, Ahmad S., Carfi, David, Almuhaimeed, Abdullah
Publikováno v:
Mathematics, 10, 2022, 884
The classic win-win has a key flaw in that it cannot offer the parties the right amounts of winning because each party believes they are winners. In reality, one party may win more than the other. This strategy is not limited to a single product or n
Externí odkaz:
http://arxiv.org/abs/2112.07045
Autor:
Al-khlifeh, Enas Mohammad1 Al-khlifeh.en@bau.edu.jo, Hassanat, Ahmad B.2
Publikováno v:
Journal of Applied Pharmaceutical Science. Jun2024, Vol. 14 Issue 6, p174-183. 10p.
Autor:
Hassanat, Ahmad B., Albustanji, Abeer, Tarawneh, Ahmad S., Alrashidi, Malek, Alharbi, Hani, Alanazi, Mohammed, Alghamdi, Mansoor, Alkhazi, Ibrahim S, Prasath, V. B. Surya
Biometric recognition based on the full face is an extensive research area. However, using only partially visible faces, such as in the case of veiled-persons, is a challenging task. Deep convolutional neural network (CNN) is used in this work to ext
Externí odkaz:
http://arxiv.org/abs/2111.01930
Autor:
Tarawneh, Ahmad S., Hassanat, Ahmad B. A., Celik, Ceyhun, Chetverikov, Dmitry, Rahman, M. Sohel, Verma, Chaman
Facial image retrieval is a challenging task since faces have many similar features (areas), which makes it difficult for the retrieval systems to distinguish faces of different people. With the advent of deep learning, deep networks are often applie
Externí odkaz:
http://arxiv.org/abs/1812.05490
Publikováno v:
Intelligent Data Analysis, vol. 24, no. 1, 2020
Research on content-based image retrieval (CBIR) has been under development for decades, and numerous methods have been competing to extract the most discriminative features for improved representation of the image content. Recently, deep learning me
Externí odkaz:
http://arxiv.org/abs/1811.09681
Autor:
Hassanat, Ahmad B.
Finding the diameter of a dataset in multidimensional Euclidean space is a well-established problem, with well-known algorithms. However, most of the algorithms found in the literature do not scale well with large values of data dimension, so the tim
Externí odkaz:
http://arxiv.org/abs/1808.03566
Genetic algorithm (GA) is an efficient tool for solving optimization problems by evolving solutions, as it mimics the Darwinian theory of natural evolution. The mutation operator is one of the key success factors in GA, as it is considered the explor
Externí odkaz:
http://arxiv.org/abs/1801.07233
Publikováno v:
International Journal of Computer Applications in Technology 55, no. 3 (2017): 202-212
This paper investigates the use of more than one crossover operator to enhance the performance of genetic algorithms. Novel crossover operators are proposed such as the Collision crossover, which is based on the physical rules of elastic collision, i
Externí odkaz:
http://arxiv.org/abs/1801.02335