Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Essam Said Hanandeh"'
Autor:
Ali Raza, Mohammad Rustom Al Nasar, Essam Said Hanandeh, Raed Abu Zitar, Ahmad Yacoub Nasereddin, Laith Abualigah
Publikováno v:
Technologies, Vol 11, Iss 2, p 55 (2023)
Kinematic motion detection aims to determine a person’s actions based on activity data. Human kinematic motion detection has many valuable applications in health care, such as health monitoring, preventing obesity, virtual reality, daily life monit
Externí odkaz:
https://doaj.org/article/0077ce78f2d84233b332a953448a521c
Autor:
Laith Abualigah, Mahmoud Habash, Essam Said Hanandeh, Ahmad MohdAziz Hussein, Mohammad Al Shinwan, Raed Abu Zitar, Heming Jia
Publikováno v:
Journal of Bionic Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78b14bbf91ddc72cccba68cf70074686
https://doi.org/10.1007/s42235-023-00332-2
https://doi.org/10.1007/s42235-023-00332-2
Publikováno v:
Electronics; Volume 12; Issue 2; Pages: 437
With the noteworthy expansion of textual data sources in recent years, easy, quick, and precise text processing has become a challenge for key qualifiers. Automatic text summarization is the process of squeezing text documents into shorter summaries
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57c687f4acd195c923dfa659c1a576a8
Publikováno v:
Data Science and Emerging Technologies ISBN: 9789819907403
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6764e2eb0cf682253165c285158e5ae2
https://doi.org/10.1007/978-981-99-0741-0_1
https://doi.org/10.1007/978-981-99-0741-0_1
Autor:
Ali Khazalah, Boppana Prasanthi, Dheniesh Thomas, Nishathinee Vello, Suhanya Jayaprakasam, Putra Sumari, Laith Abualigah, Absalom E. Ezugwu, Essam Said Hanandeh, Nima Khodadadi
Publikováno v:
Classification Applications with Deep Learning and Machine Learning Technologies ISBN: 9783031175756
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5b623ce153ad3250daf5680df9731a2
https://doi.org/10.1007/978-3-031-17576-3_5
https://doi.org/10.1007/978-3-031-17576-3_5
Autor:
Bisan Alsalibi, Laith Abualigah, Mohammad Al Shinwan, Mofleh Al-Diabat, Essam Said Hanandeh, Mohammad Shehab, Khaldoon Dhou
Publikováno v:
Recent Advances in Hybrid Metaheuristics for Data Clustering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8282fcba843ba4386053e1e1bce9a6dd
https://doi.org/10.1002/9781119551621.ch2
https://doi.org/10.1002/9781119551621.ch2
An Improved B-hill Climbing Optimization Technique for Solving the Text Documents Clustering Problem
Autor:
Shishir Kumar Shandilya, Ahamad Tajudin Khader, Essam Said Hanandeh, Laith Abualigah, Mohammed Otair
Publikováno v:
Current Medical Imaging Formerly Current Medical Imaging Reviews. 16:296-306
Background: Considering the increasing volume of text document information on Internet pages, dealing with such a tremendous amount of knowledge becomes totally complex due to its large size. Text clustering is a common optimization problem used to m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed4ec3920a602edd59657ea17e745ee5
https://doi.org/10.2174/1573405614666180903112541
https://doi.org/10.2174/1573405614666180903112541
Publikováno v:
Engineering Applications of Artificial Intelligence. 73:111-125
Krill herd (KH) algorithm is a novel swarm-based optimization algorithm that imitates krill herding behavior during the searching for foods. It has been successfully used in solving many complex optimization problems. The potency of this algorithm is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11f00d1e99927a11fc0caf6e45a4924e
https://doi.org/10.1016/j.engappai.2018.05.003
https://doi.org/10.1016/j.engappai.2018.05.003
Publikováno v:
Applied Intelligence. 48:4047-4071
In this paper, a novel text clustering method, improved krill herd algorithm with a hybrid function, called MMKHA, is proposed as an efficient clustering way to obtain promising and precise results in this domain. Krill herd is a new swarm-based opti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca5b8f17b797236e4ed866563a847c0d
https://doi.org/10.1007/s10489-018-1190-6
https://doi.org/10.1007/s10489-018-1190-6
Publikováno v:
Intelligent Decision Technologies. 12:3-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb4316a8c1ba755ffbe01b4d11cc4f5e
https://doi.org/10.3233/idt-170318
https://doi.org/10.3233/idt-170318