Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Md. Mahmudul Haque Milu"'
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
Publikováno v:
Engineering, Technology & Applied Science Research. 13:10425-10431
Multiclass functional Near-Infrared Spectroscopy (fNIRS) signal classification has become a convenient way for optical brain-computer interface. fNIRS signal classification with high accuracy is a challenging assignment while the signals are produced
Publikováno v:
Vibration and Damping Behavior of Biocomposites ISBN: 9781003173625
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e469644c8626018ea47f9e59b81e0d0
https://doi.org/10.1201/9781003173625-9
https://doi.org/10.1201/9781003173625-9
Autor:
S. Abirami, Nur Hidayah Ilham Ahmad Azri, Faiza Ahmed, Md Habib Al Mamun, Anika Anjum, Katpadi Varadarajan Arulalan, Md. Ashrafuzzaman, Paul Barach, Gopi Battineni, Ebru Aydindag Bayrak, Nishi Bhati, Nurul Husna Binti Rosli, Saurabh Biswas, Carlo Biz, Nicola Luigi Bragazzi, Zehra Nur Canbolat, Pritha Chakraborty, Nabarun Chandra Das, Rishi Chauhan, G. Deepalakshmi, Kushan De Silva, Shankar Dey, Ozge Doguc, Joanne Enticott, Shubham Garg, K. Gokul, Radhika Goyal, Cameron Graydon, Pratiyush Guleria, Yasha Hasija, Norbik Bashah Idris, Sherrylin Anak John, Suna Kang, Mustafa Asim Kazancigil, Pantea Keikhosrokiani, Farzana Khanam, Pinar Kirci, Piyush Kumar, Donghyun Lee, Zhihan Lv, Kevin Sheng-Kai Ma, Shuchi Mala, G. Manikandan, Md. Mahmudul Haque Milu, Dimitrios V. Moysidis, Najhan Muhamad Ibrahim, Suprabhat Mukherjee, Ajaypradeep Natarajsivam, Andreas S. Papazoglou, Ritwik Patra, António Pesqueira, Md. Asadur Rahman, Omanin Siddiqua Prova, Liang Qiao, Rehab A. Rayan, R. Sasikala, Parth Sarthi Sen Gupta, Gokhan Silahtaroglu, Maria José Sousa, Clair Sullivan, Jafrin Sultana, Helena Teede, Christos Tsagkaris, Liew Set Yee, Imran Zafar
Publikováno v:
Big Data Analytics for Healthcare ISBN: 9780323919074
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cee4dafccfdfa3077fb98d0c4e0ce6c
https://doi.org/10.1016/b978-0-323-91907-4.01002-5
https://doi.org/10.1016/b978-0-323-91907-4.01002-5
Publikováno v:
Big Data Analytics for Healthcare ISBN: 9780323919074
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dad6976aba9d59caace52645586fd8af
https://doi.org/10.1016/b978-0-323-91907-4.00015-7
https://doi.org/10.1016/b978-0-323-91907-4.00015-7
Autor:
Abu Bakar Siddik, Md. Mohidul Hasan Sifat, Mohibur Rahman Chowdhury, Md. Mahmudul Haque Milu, Mohiuddin Ahmad, Farzana Khanam, Anika Anjum, Md. Asadur Rahman
Publikováno v:
Iran Journal of Computer Science. 2:167-178
Though a number of research articles are available based on different preprocessing methodologies, all of them are not available in a single article with the practical utility of implementation. This article scopes to implement the most effective ECG
Publikováno v:
2017 3rd International Conference on Electrical Information and Communication Technology (EICT).
This work investigates to remove highly wandered path from ECG signal. In normal condition, ECG signal contains a very little amount of baseline wandering which can easily be removed by high pass filtering. On the other hand, acquired ECG signal duri