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    Wyświetlanie 1-8 z 8
    Tytuł:
    Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries.
    Autorzy:
    Mengash HA; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
    Alruwais N; Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, P.O. Box 22459, Riyadh 11495, Saudi Arabia.
    Kouki F; Department of Financial and Banking Sciences, Applied College at Muhail Aseer, King Khalid University, Abha 61413, Saudi Arabia.
    Singla C; Department of Computer Science, University of the People, Pasadena, CA 91101, USA.
    Abd Elhameed ES; Department of Computer Science, College of Post-Graduated Studies, Sudan University of Science and Technology, Khartoum 11111, Sudan.
    Mahmud A; Research Center, Future University in Egypt, New Cairo 11835, Egypt.
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    Źródło:
    Biomimetics (Basel, Switzerland) [Biomimetics (Basel)] 2023 Dec 19; Vol. 9 (1). Date of Electronic Publication: 2023 Dec 19.
    Typ publikacji:
    Journal Article
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Remote Sensing Imagery Data Analysis Using Marine Predators Algorithm with Deep Learning for Food Crop Classification.
    Autorzy:
    Almasoud AS; Department of Information Systems, College of Computer and Information Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia.
    Mengash HA; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia.
    Saeed MK; Department of Computer Science, Applied College, Muhayil, King Khalid University, Abha 61421, Saudi Arabia.
    Alotaibi FA; Department of Information Science, College of Humanities and Social Sciences, King Saud University, Riyadh 11437, Saudi Arabia.
    Othman KM; Department of Electrical Engineering, College of Engineering and Islamic Architecture, Umm Al-Qura University, Makkah 21955, Saudi Arabia.
    Mahmud A; Research Center, Future University in Egypt, New Cairo 11835, Egypt.
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    Źródło:
    Biomimetics (Basel, Switzerland) [Biomimetics (Basel)] 2023 Nov 10; Vol. 8 (7). Date of Electronic Publication: 2023 Nov 10.
    Typ publikacji:
    Journal Article
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Automated Arrhythmia Classification Using Farmland Fertility Algorithm with Hybrid Deep Learning Model on Internet of Things Environment.
    Autorzy:
    Almasoud AS; Department of Information Systems, College of Computer and Information Sciences, Prince Sultan University, Riyadh 12435, Saudi Arabia.
    Mengash HA; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 11671, Saudi Arabia.
    Eltahir MM; Department of Information Systems, College of Science & Art at Mahayil, King Khalid University, Riyadh 12372, Saudi Arabia.
    Almalki NS; Department of Special Education, College of Education, King Saud University, Riyadh 12372, Saudi Arabia.
    Alnfiai MM; Department of Information Technology, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia.
    Salama AS; Department of Electrical Engineering, Faculty of Engineering & Technology, Future University in Egypt, New Cairo 11845, Egypt.
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    Źródło:
    Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Oct 06; Vol. 23 (19). Date of Electronic Publication: 2023 Oct 06.
    Typ publikacji:
    Journal Article
    MeSH Terms:
    Deep Learning*
    Internet of Things*
    Humans ; Farms ; Arrhythmias, Cardiac/diagnosis ; Algorithms ; Electrocardiography/methods
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Leveraging Marine Predators Algorithm with Deep Learning for Lung and Colon Cancer Diagnosis.
    Autorzy:
    Mengash HA; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
    Alamgeer M; Department of Information Systems, College of Science & Art at Mahayil, King Khalid University, P.O. Box 960, Muhayil 63311, Saudi Arabia.
    Maashi M; Department of Software Engineering, College of Computer and Information Science, King Saud University, P.O. Box 103786, Riyadh 11543, Saudi Arabia.
    Othman M; Department of Computer Science, Faculty of Computers and Information Technology, Future University in Egypt, New Cairo 11835, Egypt.
    Hamza MA; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj 16242, Saudi Arabia.
    Ibrahim SS; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj 16242, Saudi Arabia.
    Zamani AS; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj 16242, Saudi Arabia.
    Yaseen I; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam Bin Abdulaziz University, P.O. Box 173, Al-Kharj 16242, Saudi Arabia.
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    Źródło:
    Cancers [Cancers (Basel)] 2023 Mar 03; Vol. 15 (5). Date of Electronic Publication: 2023 Mar 03.
    Typ publikacji:
    Journal Article
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Improved Bald Eagle Search Optimization with Synergic Deep Learning-Based Classification on Breast Cancer Imaging.
    Autorzy:
    Hamza MA; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj 16242, Saudi Arabia.
    Mengash HA; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
    Nour MK; Department of Computer Sciences, College of Computing and Information System, Umm Al-Qura University, Makkah 24211, Saudi Arabia.
    Alasmari N; Department of Information Systems, College of Science & Art at Mahayil, King Khalid University, Muhayil 63311, Saudi Arabia.
    Aziz ASA; Department of Digital Media, Faculty of Computers and Information Technology, Future University in Egypt, New Cairo 11835, Egypt.
    Mohammed GP; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj 16242, Saudi Arabia.
    Zamani AS; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj 16242, Saudi Arabia.
    Abdelmageed AA; Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj 16242, Saudi Arabia.
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    Źródło:
    Cancers [Cancers (Basel)] 2022 Dec 14; Vol. 14 (24). Date of Electronic Publication: 2022 Dec 14.
    Typ publikacji:
    Journal Article
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Hybrid Rider Optimization with Deep Learning Driven Biomedical Liver Cancer Detection and Classification.
    Autorzy:
    Al Duhayyim M; Department of Computer Science, College of Sciences and Humanities-Aflaj, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
    Mengash HA; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
    Marzouk R; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
    Nour MK; Department of Computer Sciences, College of Computing and Information System, Umm Al-Qura University, Mecca, Saudi Arabia.
    Mahgoub H; Department of Computer Science, College of Science & Art at Mahayel, King Khalid University, Abha, Saudi Arabia.; Department of Computer Science, Faculty of Computers and Information, Menoufia University, Shibin Al Kawm, Egypt.
    Althukair F; Department of Electrical Engineering and Computer Sciences, College of Engineering, University of CA, Berkeley, USA.
    Mohamed A; Research Center, Future University in Egypt, New Cairo 11845, Egypt.
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    Źródło:
    Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Jun 30; Vol. 2022, pp. 6162445. Date of Electronic Publication: 2022 Jun 30 (Print Publication: 2022).
    Typ publikacji:
    Journal Article; Retracted Publication
    MeSH Terms:
    Deep Learning*
    Liver Neoplasms*/diagnosis
    Algorithms ; Diagnosis, Computer-Assisted/methods ; Humans ; Neural Networks, Computer
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
    Tytuł:
    Automated Keratoconus Detection by 3D Corneal Images Reconstruction.
    Autorzy:
    Mahmoud HAH; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 11351, Saudi Arabia.
    Mengash HA; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh 11351, Saudi Arabia.
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    Źródło:
    Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Mar 26; Vol. 21 (7). Date of Electronic Publication: 2021 Mar 26.
    Typ publikacji:
    Journal Article
    MeSH Terms:
    Keratoconus*/diagnostic imaging
    Cornea/diagnostic imaging ; Corneal Topography ; Humans ; Machine Learning
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
    Tytuł:
    Machine Translation Utilizing the Frequent-Item Set Concept.
    Autorzy:
    Mahmoud HAH; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh P.O. Box 11671, Saudi Arabia.
    Mengash HA; Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh P.O. Box 11671, Saudi Arabia.
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    Źródło:
    Sensors (Basel, Switzerland) [Sensors (Basel)] 2021 Feb 21; Vol. 21 (4). Date of Electronic Publication: 2021 Feb 21.
    Typ publikacji:
    Journal Article
    Czasopismo naukowe
    Pełny tekst  Link otwiera się w nowym oknieSzczegóły
      Wyświetlanie 1-8 z 8

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