Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Mohammad T. Haweel"'
Autor:
Fatma Taher, Mohamed R. Shoaib, Heba M. Emara, Khaled M. Abdelwahab, Fathi E. Abd El-Samie, Mohammad T. Haweel
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
The brain tumor is an urgent malignancy caused by unregulated cell division. Tumors are classified using a biopsy, which is normally performed after the final brain surgery. Deep learning technology advancements have assisted the health professionals
Externí odkaz:
https://doaj.org/article/e85515e301f9401c8f277a0a5d94cb51
Publikováno v:
IEEE Access, Vol 9, Pp 67874-67889 (2021)
Differential equations are commonly used to model several engineering, science, and biological applications. Unfortunately, finding analytical solutions for solving higher-order Ordinary Differential Equations (ODEs) is a challenge. Numerical methods
Externí odkaz:
https://doaj.org/article/80c69cc2b55c47c89959780c4ce256d0
Autor:
Fatma Taher, Hussam Al Hamadi, Mohammed S. Alzaidi, Hesham Alhumyani, Dalia H. Elkamchouchi, Yasser H. Elkamshoushy, Mohammad T. Haweel, Mohamed Fathy Abo Sree, Sara Yehia Abdel Fatah
Publikováno v:
Micromachines, Vol 14, Iss 2, p 380 (2023)
This article presents the circularly polarized antenna operating over 28 GHz mm-wave applications. The suggested antenna has compact size, simple geometry, wideband, high gain, and offers circular polarization. Afterward, two-port MIMO antenna are de
Externí odkaz:
https://doaj.org/article/ec82275105c94af7b2a6094a26a9d840
Effect of magnetic field on the thermal performance of a ferrofluid‐based solar flat plate collector
Publikováno v:
Heat Transfer. 51:3999-4011
Autor:
Sara Yehia Abdel Fatah, Fatma Taher, Mohammad T. Haweel, Hussam Al Hamadi, Khaled Hassan Mohamadien, Mohamed Fathy Abo Sree
Publikováno v:
2023 International Microwave and Antenna Symposium (IMAS).
Autor:
F. Taher, Ahmed Shokry Tonsy, Hesham Hanafy M T Azab, Hussam Al Hamadi, Mohammad T. Haweel, Mohamed Fathy Abo Sree
Publikováno v:
2022 International Telecommunications Conference (ITC-Egypt).
Autor:
Danvendra Singh, Mohammed Asfer, Obaied Mussad, Turkey Al otaibi, Mohammad T Haweel, Om Prakash, Balkrishna Mehta
Publikováno v:
Proceeding of Proceedings of the 26thNational and 4th International ISHMT-ASTFE Heat and Mass Transfer Conference December 17-20, 2021, IIT Madras, Chennai-600036, Tamil Nadu, India.
Publikováno v:
Menoufia Journal of Electronic Engineering Research. 28:78-82
Publikováno v:
2021 38th National Radio Science Conference (NRSC).
An efficient adaptive classifier for fetal electronic monitoring based on a modified structure of neural networks is presented. It employs polynomial series as a functional expansion. Training of the Polynomial Neural Network (PNN) classifier is perf