Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mohammad Ashfak Habib"'
Autor:
Maliha Rashida, Mohammad Ashfak Habib
Publikováno v:
Frontiers in Biomedical Technologies, Vol 11, Iss 2 (2023)
Purpose: Independent Component Analysis (ICA) decomposition is a commonly used technique for eye blink artifact detection from Electroencephalogram (EEG) signals. Feature extraction from the decomposed ICs is a prime step for blink detection. This pa
Externí odkaz:
https://doaj.org/article/937999a322064c889b72ed38d7d66d4d
Autor:
Maliha Rashida, Mohammad Ashfak Habib
Publikováno v:
Neuroscience Informatics, Vol 3, Iss 1, Pp 100115- (2023)
Ocular artifact, namely eye-blink artifact, is an inevitable and one of the most destructive noises of EEG signals. Many solutions of detecting the eye-blink artifact were proposed. Different subsets of EEG features and Machine Learning (ML) classifi
Externí odkaz:
https://doaj.org/article/bf35d5f4bd3c4c1cbb9adbd4843c1efe
Autor:
Md. Rashadur Rahman, Mohammad Shamsul Arefin, Md. Billal Hossain, Mohammad Ashfak Habib, A. S. M. Kayes
Publikováno v:
Complexity, Vol 2020 (2020)
The most prominent form of human communication and interaction is speech. It plays an indispensable role for expressing emotions, motivating, guiding, and cheering. An ill-intentioned speech can mislead people, societies, and even a nation. A misguid
Externí odkaz:
https://doaj.org/article/427dc74b10f845febbf20953f9db206f
Autor:
Maliha Rashida, Kawsarul Islam, A. S. M. Kayes, Mohammad Hammoudeh, Mohammad Shamsul Arefin, Mohammad Ashfak Habib
Publikováno v:
Computers, Vol 10, Iss 5, p 57 (2021)
The website of a university is considered to be a virtual gateway to provide primary resources to its stakeholders. It can play an indispensable role in disseminating information about a university to a variety of audience at a time. Thus, the qualit
Externí odkaz:
https://doaj.org/article/3e2c197835b34fe4b6a9ca663bdcea5d
Autor:
Mohammad Ashfak Habib, Mas S. Mohktar, Shahrul Bahyah Kamaruzzaman, Kheng Seang Lim, Tan Maw Pin, Fatimah Ibrahim
Publikováno v:
Sensors, Vol 14, Iss 4, Pp 7181-7208 (2014)
This paper presents a state-of-the-art survey of smartphone (SP)-based solutions for fall detection and prevention. Falls are considered as major health hazards for both the elderly and people with neurodegenerative diseases. To mitigate the adverse
Externí odkaz:
https://doaj.org/article/508ad5c927b842b591da1c3cf4e0e730
Autor:
Mohammad Ashfak Habib, Maliha Rashida
Publikováno v:
International Journal of Information Technology. 13:2543-2550
Wandering (disorientation) is considered the most hazardous behavior of Alzheimer’s patients (AD patient). This paper presents a smartphone based solution for real-time-outdoor wander detection and management for AD patients. The existing technique
Autor:
Maliha Rashida, Mohammad Ashfak Habib
Ocular artifact, namely eye-blink artifact, is an unavoidable and one of the most destructive noises in EEG signals. Many solutions were proposed regarding the detection of the eye-blink artifact. Different subsets of EEG features and Machine Learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::816e89448853821898deee41443ccad0
https://doi.org/10.21203/rs.3.rs-1595643/v1
https://doi.org/10.21203/rs.3.rs-1595643/v1
Autor:
Mohammad Shamsul Arefin, Md. Billal Hossain, Mohammad Ashfak Habib, A. S. M. Kayes, Md. Rashadur Rahman
Publikováno v:
Complexity, Vol 2020 (2020)
The most prominent form of human communication and interaction is speech. It plays an indispensable role for expressing emotions, motivating, guiding, and cheering. An ill-intentioned speech can mislead people, societies, and even a nation. A misguid
Autor:
Shahrul Bahyah Kamaruzzaman, Fatimah Ibrahim, Mas S. Mohktar, Kheng Seang Lim, Mohammad Ashfak Habib
Publikováno v:
Clinical Neurophysiology. 131:642-654
Objective This study aimed to present a new ictal component selection technique, named as recursive ICA-decomposition for ictal component selection (RIDICS), for potential application in epileptogenic zone localization. Methods The proposed technique
Autor:
Mohammad Ashfak Habib
Publikováno v:
OALib. :1-11
Parallel self-timed adder (PASTA) is a newly introduced asynchronous adder. It shows appreciable average-case performance without any special speedup circuitry or look-ahead schema, but its worst-case performance is almost similar to that of ripple c