Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Tarek Abd El-Hafeez"'
Utilizing machine learning to analyze trunk movement patterns in women with postpartum low back pain
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract This paper presents an analysis of trunk movement in women with postnatal low back pain using machine learning techniques. The study aims to identify the most important features related to low back pain and to develop accurate models for pre
Externí odkaz:
https://doaj.org/article/2b576850f05f48e780cf3ce5679ba6a4
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-27 (2024)
Abstract Hepatocellular carcinoma (HCC) is a highly prevalent form of liver cancer that necessitates accurate prediction models for early diagnosis and effective treatment. Machine learning algorithms have demonstrated promising results in various me
Externí odkaz:
https://doaj.org/article/75bc64ab2fef4109837ec8ebfce23d1c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract This study investigates the application of cavitation in non-invasive abdominal fat reduction and body contouring, a topic of considerable interest in the medical and aesthetic fields. We explore the potential of cavitation to alter abdomina
Externí odkaz:
https://doaj.org/article/bf0102fbd79b4ecd8562aa436caa5e41
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract The purpose of this study is to investigate the role of core muscles in female sexual dysfunction (FSD) and develop comprehensive rehabilitation programs to address this issue. We aim to answer the following research questions: what are the
Externí odkaz:
https://doaj.org/article/de9a9e90c93641a5b38699249f942756
Autor:
Tarek Abd El-Hafeez, Mahmoud Y. Shams, Yaseen A. M. M. Elshaier, Heba Mamdouh Farghaly, Aboul Ella Hassanien
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Combination therapy is a fundamental strategy in cancer chemotherapy. It involves administering two or more anti-cancer agents to increase efficacy and overcome multidrug resistance compared to monotherapy. However, drug combinations can exh
Externí odkaz:
https://doaj.org/article/17d9ff45276d4f2ebea19c5452c955b0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract This paper investigated the use of language models and deep learning techniques for automating disease prediction from symptoms. Specifically, we explored the use of two Medical Concept Normalization—Bidirectional Encoder Representations f
Externí odkaz:
https://doaj.org/article/70d66c7e97874a93a08c4e617ca3c6b9
Autor:
Wael M. Elmessery, Danil V. Maklakov, Tamer M. El-Messery, Denis A. Baranenko, Joaquín Gutiérrez, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Salah Elsayed, Sadeq K. Alhag, Farahat S. Moghanm, Maksim A. Mulyukin, Yuliya Yu. Petrova, Abdallah E. Elwakeel
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionPrecise semantic segmentation of microbial alterations is paramount for their evaluation and treatment. This study focuses on harnessing the SegFormer segmentation model for precise semantic segmentation of strawberry diseases, aiming to
Externí odkaz:
https://doaj.org/article/b8c95182480e43b7b5abc216fec81948
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-21 (2023)
Abstract Urinary incontinence (UI) is defined as any uncontrolled urine leakage. Pelvic floor muscles (PFM) appear to be a crucial aspect of trunk and lumbo-pelvic stability, and UI is one indication of pelvic floor dysfunction. The evaluation of pel
Externí odkaz:
https://doaj.org/article/0f8afff1db36487b9770d8aa8cdc97a3
Autor:
Ahmed Omar, Tarek Abd El-Hafeez
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract With the increasing amount of digital data generated by Arabic speakers, the need for effective and efficient document classification techniques is more important than ever. In recent years, both quantum computing and machine learning have s
Externí odkaz:
https://doaj.org/article/69cf58a6790249f791954b84c33753ed
Detecting cyberbullying using deep learning techniques: a pre-trained glove and focal loss technique
Publikováno v:
PeerJ Computer Science, Vol 10, p e1961 (2024)
This study investigates the effectiveness of various deep learning and classical machine learning techniques in identifying instances of cyberbullying. The study compares the performance of five classical machine learning algorithms and three deep le
Externí odkaz:
https://doaj.org/article/6ea87f48c2bf4d97a6fe58c2d63980bd