Zobrazeno 1 - 10
of 1 382
pro vyhledávání: '"Taher, M. A."'
Publikováno v:
Veterinary World, Vol 17, Iss 11, Pp 2586-2594 (2024)
Background and Aim: Tick-borne pathogens pose a significant problem in canines, other animals, and humans worldwide. This study aimed to estimate the prevalence of Borrelia burgdorferi, Ehrlichia canis, and Coxiella burnetii in dogs and associated ti
Externí odkaz:
https://doaj.org/article/4e820a68cd2443f7bff20884e948fc4e
Autor:
Rehman, Abdur, Abbas, Sagheer, Khan, M. A., Ghazal, Taher M., Adnan, Khan Muhammad, Mosavi, Amir
In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge scale and deployment of IoMT networks. Machine learning (ML) and blockchain
Externí odkaz:
http://arxiv.org/abs/2209.09642
Autor:
S. Phani Praveen, Mohammad Kamrul Hasan, Siti Norul Huda Sheikh Abdullah, Uddagiri Sirisha, N. S. Koti Mani Kumar Tirumanadham, Shayla Islam, Fatima Rayan Awad Ahmed, Thowiba E. Ahmed, Ayman Afrin Noboni, Gabriel Avelino Sampedro, Chan Yeob Yeun, Taher M. Ghazal
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionGlobal Cardiovascular disease (CVD) is still one of the leading causes of death and requires the enhancement of diagnostic methods for the effective detection of early signs and prediction of the disease outcomes. The current diagnostic t
Externí odkaz:
https://doaj.org/article/261f8a01b402474884413969dc986db6
Autor:
Mohammad Kamrul Hasan, A.K.M. Ahasan Habib, Shayla Islam, Nurhizam Safie, Taher M. Ghazal, Muhammad Attique Khan, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Seifedine Kadry, Anum Masood
Publikováno v:
Alexandria Engineering Journal, Vol 91, Iss , Pp 658-668 (2024)
The 5 G networks are effectively deployed worldwide, and academia and industries have begun looking at 6 G network communication technology for consumer electronics applications. 6 G will be built on pervasive artificial intelligence (AI) to enable d
Externí odkaz:
https://doaj.org/article/43c8b33408f249f985400c9cb408a2e0
Autor:
Mohammad Kamrul Hasan, Zhou Weichen, Nurhizam Safie, Fatima Rayan Awad Ahmed, Taher M. Ghazal
Publikováno v:
IEEE Access, Vol 12, Pp 61642-61666 (2024)
The Internet of Things (IoT) represents a dynamic infrastructure, leveraging sensing and network communication technology to establish ubiquitous connectivity among people, machines, and objects. Due to its end devices’ limited computing resources
Externí odkaz:
https://doaj.org/article/e68578acc20541f9915242070eecd9d2
Autor:
Greeshma Arya, Mohammad Kamrul Hasan, Ashish Bagwari, Nurhizam Safie, Shayla Islam, Fatima Rayan Awad Ahmed, Aaishani De, Muhammad Attique Khan, Taher M. Ghazal
Publikováno v:
IEEE Access, Vol 12, Pp 22359-22375 (2024)
In contemporary society, the proliferation of online hateful messages has emerged as a pressing concern, inflicting deleterious consequences on both societal fabric and individual well-being. The automatic detection of such malevolent content online
Externí odkaz:
https://doaj.org/article/9d69e5c58b1e4180ab73d168ba20df9b
Autor:
Zahid Hasan, Areej Fatima, Tariq Shahzad, Sagheer Abbas, Taher M. Ghazal, Mahmoud M. Al-Sakhnini, Muhammad Adnan Khan, Arfan Ahmed
Publikováno v:
IEEE Access, Vol 12, Pp 8552-8584 (2024)
Nanotechnologists and medical researchers are working hard to develop new and innovative ways to use nanorobots as nanomedicine to improve healthcare outcomes and revolutionize the field of therapeutics. Nanotechnology has the potential to revolution
Externí odkaz:
https://doaj.org/article/01738c481790491a92c1b01dc0176fbf
Autor:
Rizwana Naz Asif, Allah Ditta, Hani Alquhayz, Sagheer Abbas, Muhammad Adnan Khan, Taher M. Ghazal, Sang-Woong Lee
Publikováno v:
IEEE Access, Vol 12, Pp 1909-1926 (2024)
In this study, a weighted federated learning approach is proposed for electrocardiogram (ECG) arrhythmia classification. The proposed approach considers the heterogeneity of data distribution among multiple clients in federated learning settings. The
Externí odkaz:
https://doaj.org/article/0961db5c1e6645c18ff05e1ac6b6e427
Autor:
Dong liang Zhang, Zhiyong Jiang, Fallah Mohammadzadeh, Seyed Majid Hasani Azhdari, Laith Abualigah, Taher M. Ghazal
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28681- (2024)
Sonar sound datasets are of significant importance in the domains of underwater surveillance and marine research as they enable experts to discern intricate patterns within the depths of the water. Nevertheless, the task of classifying sonar sound da
Externí odkaz:
https://doaj.org/article/a5f3d60d2165459bb15dc9e7854d835c
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28147- (2024)
Deep Convolutional Neural Networks (DCNNs) have shown remarkable success in image classification tasks, but optimizing their hyperparameters can be challenging due to their complex structure. This paper develops the Adaptive Habitat Biogeography-Base
Externí odkaz:
https://doaj.org/article/004b44a260f34c6ea253714aaf9872d4