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pro vyhledávání: '"Islam Md. Rabiul"'
Multi-channel surface Electromyography (sEMG), also referred to as high-density sEMG (HD-sEMG), plays a crucial role in improving gesture recognition performance for myoelectric control. Pattern recognition models developed based on HD-sEMG, however,
Externí odkaz:
http://arxiv.org/abs/2410.17261
The paper investigates the collapse of the generalized emergent Vaidya spacetime in the setting of $f(\bar{R}, \bar{T})$ gravity, specifically in K-essence theory. In this study, the Dirac-Born-Infeld type non-standard Lagrangian is used to calculate
Externí odkaz:
http://arxiv.org/abs/2308.13574
Gesture recognition using low-resolution instantaneous HD-sEMG images opens up new avenues for the development of more fluid and natural muscle-computer interfaces. However, the data variability between inter-session and inter-subject scenarios prese
Externí odkaz:
http://arxiv.org/abs/2305.08014
Autor:
Haque, A. K. M. Bahalul, Arifuzzaman, B. M., Siddik, Sayed Abu Noman, Kalam, Abul, Shahjahan, Tabassum Sadia, Saleena, T. S., Alam, Morshed, Islam, Md. Rabiul, Ahmmed, Foyez, Hossain, 5and Md. Jamal
Today, healthcare has become one of the largest and most fast-paced industries due to the rapid development of digital healthcare technologies. The fundamental thing to enhance healthcare services is communicating and linking massive volumes of avail
Externí odkaz:
http://arxiv.org/abs/2211.00058
In this paper, we study the collapsing scenario for the k-essence emergent Vaidya spacetime in the context of massive gravity's rainbow. For this study, we consider that the background metric is Vaidya spacetime in massive gravity's rainbow. We show
Externí odkaz:
http://arxiv.org/abs/2208.05778
Autor:
Ahamed, Md. Faysal, Nahiduzzaman, Md., Islam, Md. Rabiul, Naznine, Mansura, Arselene Ayari, Mohamed, Khandakar, Amith, Haider, Julfikar
Publikováno v:
In Expert Systems With Applications 5 December 2024 256
Publikováno v:
In Chinese Journal of Physics October 2024 91:838-856
Publikováno v:
In Biomedical Signal Processing and Control October 2024 96 Part B
Gait recognition is one of the most recent emerging techniques of human biometric which can be used for security based purposes having unobtrusive learning method. In comparison with other bio-metrics gait analysis has some special security features.
Externí odkaz:
http://arxiv.org/abs/2203.09549
Autor:
Islam, Md. Rabiul1 (AUTHOR) robi.ayaan@gmail.com, Mondol, Archok Arigan2 (AUTHOR), Kundu, Ripa3 (AUTHOR), Baroi, Juliana Aditi2 (AUTHOR), Akter, Sayma2 (AUTHOR), Urmi, Taslima Jamal2 (AUTHOR), Roknuzzaman, A. S. M.2 (AUTHOR), Hossain, Md. Alamgir4 (AUTHOR), Parves, Mohammad Masud3 (AUTHOR), Omer, Humair Bin Md.1 (AUTHOR), Kabir, Eva Rahman1 (AUTHOR) eva.kabir@bracu.ac.bd
Publikováno v:
PLoS ONE. 8/26/2024, Vol. 19 Issue 8, p1-20. 20p.