Zobrazeno 1 - 10
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pro vyhledávání: '"Ur Rehman, Muhammad A."'
Autor:
Ali, Omair, Saif-ur-Rehman, Muhammad, Metzler, Marita, Glasmachers, Tobias, Iossifidis, Ioannis, Klaes, Christian
Generating continuous electroencephalography (EEG) signals through advanced artificial neural networks presents a novel opportunity to enhance brain-computer interface (BCI) technology. This capability has the potential to significantly enhance appli
Externí odkaz:
http://arxiv.org/abs/2406.03115
To gain a deeper understanding of the behavior and learning dynamics of (deep) artificial neural networks, it is valuable to employ mathematical abstractions and models. These tools provide a simplified perspective on network performance and facilita
Externí odkaz:
http://arxiv.org/abs/2308.00858
Objective. Research on brain-computer interfaces (BCIs) is advancing towards rehabilitating severely disabled patients in the real world. Two key factors for successful decoding of user intentions are the size of implanted microelectrode arrays and a
Externí odkaz:
http://arxiv.org/abs/2304.01355
Autor:
Aizaz, Aqsa, Nawaz, Muhammad Haseeb, Shafique, Huzaifa, Ur Rehman, Muhammad Habeeb, Khan, Muhammad Ehtisham, Abbas, Mohamed, Vayalpurayil, Thafasalijyas, Ur Rehman, Muhammad Atiq
Publikováno v:
In Journal of Drug Delivery Science and Technology October 2024 100
In recent years distributional reinforcement learning has produced many state of the art results. Increasingly sample efficient Distributional algorithms for the discrete action domain have been developed over time that vary primarily in the way they
Externí odkaz:
http://arxiv.org/abs/2212.14262
Autor:
Mahmood ur Rehman, Muhammad1 (AUTHOR) mmrehman@ujs.edu.cn, Liu, Jizhan1,2 (AUTHOR) liujizhan@163.com, Nijabat, Aneela3 (AUTHOR), Faheem, Muhammad4 (AUTHOR), Wang, Wenyuan1 (AUTHOR), Zhao, Shengyi1 (AUTHOR)
Publikováno v:
Agronomy. Oct2024, Vol. 14 Issue 10, p2231. 30p.
Autor:
Ali, Omair, Saif-ur-Rehman, Muhammad, Glasmachers, Tobias, Iossifidis, Ioannis, Klaes, Christian
Objective: Electroencephalography (EEG) and electromyography (EMG) are two non-invasive bio-signals, which are widely used in human machine interface (HMI) technologies (EEG-HMI and EMG-HMI paradigm) for the rehabilitation of physically disabled peop
Externí odkaz:
http://arxiv.org/abs/2206.10677
Publikováno v:
International Journal of Emerging Markets, 2022, Vol. 19, Issue 1, pp. 231-248.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJOEM-12-2020-1461
Autor:
Basharat, Kaleem1, Ur Rehman, Muhammad Abd1 mrehman2@hamad.qa, Amr Elharabi, Nada Saeed2, Awad Salem, Waleed1
Publikováno v:
Toxicology Communications. Dec2024, Vol. 8 Issue 1, p1-5. 5p.
Autor:
Munir, Rubina, Khan, Imtiaz, Siddiqui, Leena, Javid, Noman, Zia-ur-Rehman, Muhammad, Ali, Hafiz Saqib, Saeed, Memoona, Zaib, Sumera, Awwad, Nasser S., Ibrahium, Hala A., Yeow, Colleen Hui Shiuan, White, Jonathan M., Dera, Ayed A.
Publikováno v:
In Journal of Molecular Structure 5 November 2024 1315