Zobrazeno 31 - 40
of 5 235
pro vyhledávání: '"Rahman, Muhammad"'
Autor:
Akter, Mst Shapna, Shahriar, Hossain, Ahamed, Sheikh Iqbal, Gupta, Kishor Datta, Rahman, Muhammad, Mohamed, Atef, Rahman, Mohammad, Rahman, Akond, Wu, Fan
Quantum machine learning (QML) is an emerging field of research that leverages quantum computing to improve the classical machine learning approach to solve complex real world problems. QML has the potential to address cybersecurity related challenge
Externí odkaz:
http://arxiv.org/abs/2306.00284
Autor:
Rahman, Muhammad Rameez Ur, Scofano, Luca, De Matteis, Edoardo, Flaborea, Alessandro, Sampieri, Alessio, Galasso, Fabio
The task of collaborative human pose forecasting stands for predicting the future poses of multiple interacting people, given those in previous frames. Predicting two people in interaction, instead of each separately, promises better performance, due
Externí odkaz:
http://arxiv.org/abs/2304.05758
Heart murmurs provide valuable information about mechanical activity of the heart, which aids in diagnosis of various heart valve diseases. This work does automatic and accurate heart murmur detection from phonocardiogram (PCG) recordings. Two public
Externí odkaz:
http://arxiv.org/abs/2303.11423
Publikováno v:
Asia Pacific Journal of Marketing and Logistics, 2023, Vol. 36, Issue 5, pp. 1069-1083.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/APJML-06-2023-0506
Autor:
Chavalala, Makungu Meriot, Bag, Surajit, Pretorius, Jan Harm Christiaan, Rahman, Muhammad Sabbir
Publikováno v:
Journal of Enterprise Information Management, 2022, Vol. 37, Issue 2, pp. 745-776.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JEIM-06-2022-0209
Autor:
Zailani, Suhaiza, Rahman, Muhammad Khalilur, Nizamani, Asif Hussain, Aziz, Azmin Azliza, Bhuiyan, Miraj Ahmed, Gazi, Md. Abu Issa
Publikováno v:
foresight, 2023, Vol. 26, Issue 2, pp. 205-224.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/FS-07-2022-0082
Autor:
Yousuf, Asim, Hafiz, Rehan, Riaz, Saqib, Farooq, Muhammad, Riaz, Kashif, Rahman, Muhammad Mahboob Ur
This paper presents a novel method for myocardial infarction (MI) detection using lead II of electrocardiogram (ECG). Under our proposed method, we first clean the noisy ECG signals using db4 wavelet, followed by an R-peak detection algorithm to segm
Externí odkaz:
http://arxiv.org/abs/2302.13011
This letter provides a stochastic geometry (SG)-based coverage probability (CP) analysis of an indoor terahertz (THz) downlink assisted by a single reconfigurable intelligent surface (RIS) panel. Specifically, multiple access points (AP) deployed on
Externí odkaz:
http://arxiv.org/abs/2302.02465
This letter presents a novel hybrid method that leverages deep learning to exploit the multi-resolution analysis capability of the wavelets, in order to denoise a photoplethysmography (PPG) signal. Under the proposed method, a noisy PPG sequence of l
Externí odkaz:
http://arxiv.org/abs/2301.06549
Text phish messages, referred to as Smishing is a type of social engineering attack where fake text messages are created, and used to lure users into responding to those messages. These messages aim to obtain user credentials, install malware on the
Externí odkaz:
http://arxiv.org/abs/2212.13312