Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Md. Nurunnabi Mollah"'
Publikováno v:
International Journal of Antennas and Propagation, Vol 2023 (2023)
Tapering electromagnetic bandgap (EBG) structures is a common method in designing microstrip filters with different periodic structures. A novel technique for tapering EBG structures with the amplitude coefficients obtained from the sine function has
Externí odkaz:
https://doaj.org/article/b88dc9fe9bae447893c0821d697ea7b3
Autor:
Md. Asadur Rahman, Anika Anjum, Md. Mahmudul Haque Milu, Farzana Khanam, Mohammad Shorif Uddin, Md. Nurunnabi Mollah
Publikováno v:
Array, Vol 11, Iss , Pp 100072- (2021)
Emotion recognition, a challenging computational issue, finds interesting applications in diverse fields. Usually, feature-based machine-learning methods have been used for emotion recognition. However, these conventional shallow machine learning met
Externí odkaz:
https://doaj.org/article/fad2f67e65c6435fb83eac94536af900
Autor:
Asif Adnan Tajwer, Md Nurunnabi Mollah
Publikováno v:
2021 5th International Conference on Electrical Information and Communication Technology (EICT).
Autor:
Mohammad Khurshed Alam, Pritom Kumar Saha, Md. Nurunnabi Mollah, Md. Asadur Rahman, Asma Ferdowsi
Publikováno v:
SN Computer Science. 2
The extraction methodology of the significant features from the signals is one of the most important pre-requisite steps for EEG signal classification. Common spatial pattern (CSP) is a widely used feature extraction method for EEG signal but with a
Publikováno v:
2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT).
In this paper, a concept of EOG based human machine interface (HMI) is proposed with the purpose of designing a smart home surroundings and helping disable human beings. This interface permits us to observe the motion of the eyes measuring the potent
Publikováno v:
2019 4th International Conference on Electrical Information and Communication Technology (EICT).
The number of travelers is increasing day by day in Bangladesh. The number is expected to rise higher quickly. They are entering in Bangladesh through different borders. This will create several problems over the following days. Therefore, Bangladesh
Publikováno v:
Proceedings of International Joint Conference on Computational Intelligence ISBN: 9789811375637
IJCCI
IJCCI
This work reports the potentiality of the motor imagery movement classification from prefrontal hemodynamics for the brain–computer interface (BCI) applications. Although movement-related activation correlates with the central lobe, this area of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ae371532b69321ae5444bef84852e6b
https://doi.org/10.1007/978-981-13-7564-4_2
https://doi.org/10.1007/978-981-13-7564-4_2
Autor:
Md. Nurunnabi Mollah, Shakhawat Parvez
Publikováno v:
2019 International Conference on Electrical, Computer and Communication Engineering (ECCE).
In this paper, a new approach on the characterization of dumbbell annular ring (DAR) resonators have been presented. Moreover, the electromagnetic nature of these resonators on different dimensions as well as their coupling strength to the host 50-Ω
Publikováno v:
2019 International Conference on Electrical, Computer and Communication Engineering (ECCE).
EEG signal in the time domain with high sampled rate faces difficulties for their noise sensitive properties that lead to erroneous feature extraction. Since the feature extraction is one of the most significant steps in EEG signal classification, co
Publikováno v:
2019 International Conference on Electrical, Computer and Communication Engineering (ECCE).
To better utilize one of the most powerful signal decomposition methods called Empirical Mode Decomposition (EMD) in the field of a brain-computer interface, a better understanding of its components is necessary. In analyzing two-class motor imagery