Zobrazeno 1 - 10
of 33 676
pro vyhledávání: '"A. Hassanien"'
This dataset includes 6823 thermal images captured using a UNI-T UTi165A camera for face detection, recognition, and emotion analysis. It consists of 2485 facial recognition images depicting emotions (happy, sad, angry, natural, surprised), 2054 imag
Externí odkaz:
http://arxiv.org/abs/2407.09494
Publikováno v:
Biologics: Targets & Therapy, Vol Volume 18, Pp 327-337 (2024)
Wafaa H Hussein,1 Hala Ramadan,2 Safa Labib,2 Gehan A Hegazy,3,4 Olfat G Shaker,5 Sherif M Yusuf,6 Mohammed A Hassanien,7 Maysa M Haroon1 1Rheumatology Department, Faculty of Medicine, Cairo University, Cairo, Egypt; 2Internal Medicine Department, Fa
Externí odkaz:
https://doaj.org/article/17fc7515cdc043d8b180de8d5c5472cd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Different oncologists make their own decisions about the detection and classification of the type of ovarian cancer from histopathological whole slide images. However, it is necessary to have an automated system that is more accurate and sta
Externí odkaz:
https://doaj.org/article/e326fe3c573a4e04a7356405af27a7fb
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-23 (2024)
Abstract Background Drug combination treatments have proven to be a realistic technique for treating challenging diseases such as cancer by enhancing efficacy and mitigating side effects. To achieve the therapeutic goals of these combinations, it is
Externí odkaz:
https://doaj.org/article/41dfd813f2c840e29c76ef42d4ebb4cf
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2024, Iss 1, Pp 1-17 (2024)
Abstract In the realm of green communications, the focus is on achieving high spectrum efficiency and low energy consumption. This paper addresses the crucial goal of reducing energy usage in green cognitive radio networks (CRNs) during communication
Externí odkaz:
https://doaj.org/article/50758b5342f04a14bae04dcc28dcaafb
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-15 (2024)
Abstract This paper proposes a novel multi-view ensemble predictor model that is designed to address the challenge of determining synergistic drug combinations by predicting both the synergy score value values and synergy class label of drug combinat
Externí odkaz:
https://doaj.org/article/1bbcf832d20c496faaf15d83eaed21ac
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Advancements in digital dentistry helped in custom-milling screw-channels in implant-supported restorations; however, the fit of these restorations is still unclear especially for contemporary computer aided designing/computer aid
Externí odkaz:
https://doaj.org/article/366ef65e5f844a3aaf092de3955f65f9
Autor:
Monem, Samar1,2 (AUTHOR) samarmahmoud@science.bsu.edu.eg, Hassanien, Aboul Ella2,3 (AUTHOR), Abdel-Hamid, Alaa H.1 (AUTHOR) hamid_alh@science.bsu.edu.eg
Publikováno v:
BMC Bioinformatics. 10/10/2024, Vol. 25 Issue 1, p1-23. 23p.
Autor:
Monem, Samar1 (AUTHOR) samarmahmoud@science.bsu.edu.eg, Hassanien, Aboul Ella2 (AUTHOR), Abdel-Hamid, Alaa H.1 (AUTHOR)
Publikováno v:
Journal of Cheminformatics. 9/27/2024, Vol. 16 Issue 1, p1-15. 15p.
Publikováno v:
Egyptian Poultry Science Journal. Sep2024, Vol. 44 Issue 3, p267-276. 10p.