Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Zubair Md Fadlullah"'
Advancing Malaria Identification From Microscopic Blood Smears Using Hybrid Deep Learning Frameworks
Publikováno v:
IEEE Access, Vol 12, Pp 71705-71715 (2024)
Malaria is a mosquito-borne, life-threatening, and contagious disease that has caused thousands of fatalities in recent years. Due to inadequate detection, the inexperience of laboratory personnel, and lack of advanced point-of-care equipment, the ma
Externí odkaz:
https://doaj.org/article/c00024ceac0b4c49b6000e3a34fd0981
Autor:
Mohamed S. Abdalzaher, Mostafa M. Fouda, Ahmed Emran, Zubair Md Fadlullah, Mohamed I. Ibrahem
Publikováno v:
Energies, Vol 16, Iss 5, p 2355 (2023)
The implementation of the smart grid (SG) and cyber-physical systems (CPS) greatly enhances the safety, reliability, and efficiency of energy production and distribution. Smart grids rely on smart meters (SMs) in converting the power grids (PGs) in a
Externí odkaz:
https://doaj.org/article/b0ebc9538659407a8d323642073db6f9
Autor:
Sadman Sakib, Mostafa M. Fouda, Muftah Al-Mahdawi, Attayeb Mohsen, Mikihiko Oogane, Yasuo Ando, Zubair Md. Fadlullah
Publikováno v:
IEEE Access, Vol 10, Pp 2656-2668 (2022)
Remote health monitoring has become a necessity due to reduced healthcare access resulting from pandemic lockdowns and the increasing aging population. Electrocardiography (ECG) is the standard for cardiac monitoring and arrhythmia identification, bu
Externí odkaz:
https://doaj.org/article/dfccf8e8a8234004bffe00f18a7d2ab2
DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach
Publikováno v:
IEEE Access, Vol 8, Pp 171575-171589 (2020)
With the exponentially growing COVID-19 (coronavirus disease 2019) pandemic, clinicians continue to seek accurate and rapid diagnosis methods in addition to virus and antibody testing modalities. Because radiographs such as X-rays and computed tomogr
Externí odkaz:
https://doaj.org/article/a11108e21df042e7b8b6bf022a8f63e7
Publikováno v:
IEEE Sensors Journal. 22:23552-23564
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d66072cd03110092c2bdfab97543cd5
https://doi.org/10.1109/jsen.2022.3213731
https://doi.org/10.1109/jsen.2022.3213731
Autor:
Sherief Hashima, Mostafa M. Fouda, Sadman Sakib, Zubair Md. Fadlullah, Kohei Hatano, Ehab Mahmoud Mohamed, Xuemin Shen
Publikováno v:
IEEE Internet of Things Journal. 9:18002-18014
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42ad1a563530e8cb735143fe64a44a63
https://doi.org/10.1109/jiot.2022.3162135
https://doi.org/10.1109/jiot.2022.3162135
Autor:
Mostafa M. Fouda, Sherief Hashima, Sadman Sakib, Zubair Md Fadlullah, Kohei Hatano, Xuemin Shen
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:6853-6858
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fc273bacd8ad07971aff76f1dcdc9c1
https://doi.org/10.1109/tvt.2022.3163078
https://doi.org/10.1109/tvt.2022.3163078
Publikováno v:
IEEE Sensors Letters. 6:1-4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2467cf7dba65a3cacd2603dbffb06430
https://doi.org/10.1109/lsens.2021.3137152
https://doi.org/10.1109/lsens.2021.3137152
Autor:
Zubair Md. Fadlullah, Nei Kato
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 10:112-123
A heterogeneous computing architecture is essential to facilitate intelligent network traffic control for a joint computation, communication, and collaborative caching optimization in 6G networks to provide stringent Quality of Experience (QoE) guara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4bf6607a6685952f1ded431620c6010
https://doi.org/10.1109/tetc.2020.2986238
https://doi.org/10.1109/tetc.2020.2986238
Autor:
Sherief Hashima, Zubair Md Fadlullah, Mostafa M. Fouda, Ehab Mahmoud Mohamed, Kohei Hatano, Basem M. ElHalawany, Mohsen Guizani
Publikováno v:
IEEE Network. :1-9
The emerging Sixth Generation (6G) communication networks promising 100 to 1000 Gbps rates and ultra-low latency (1 millisecond) are anticipated to have native, embedded Artificial Intelligence (AI) capability to support a myriad of services, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b95bd77eed073b4cc8c54686f9d31c52
https://doi.org/10.1109/mnet.103.2100587
https://doi.org/10.1109/mnet.103.2100587