Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Md. Kafi"'
Autor:
Sumaiya Pervin, Md. Ahamed, Chandra Chouhan, Md. Jahan, Rony Ahmed, K. Nazir, Mahbubul Siddique, Md. Rahman, Md. Kafi
Publikováno v:
Journal of Advanced Veterinary and Animal Research, Pp 563-569 (2023)
Objective: The research aimed to isolate, adapt to cell culture, and characterize the lumpy skin disease virus (LSDV) from clinically infected cattle in Bangladesh. Materials and Methods: From September 2019 to June 2020, 37 skin nodules and skin swa
Externí odkaz:
https://doaj.org/article/4b77cd1af41f4d64851a21dc46f4c03b
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 110994- (2024)
Wearable EEG suffers from motion artifact contamination due to the subject's movement in an ambulatory environment. Signal processing techniques pose promising solutions for the detection and removal of motion artifacts from ambulatory EEG, but relev
Externí odkaz:
https://doaj.org/article/a28d1664e394433894adf032a758e6ab
Publikováno v:
2021 5th International Conference on Electrical Information and Communication Technology (EICT).
Autor:
Antora Dev, Nipa Roy, Md. Kafiul Islam, Chiranjeeb Biswas, Helal Uddin Ahmed, Md. Ashraful Amin, Farhana Sarker, Ravi Vaidyanathan, Khondaker A. Mamun
Publikováno v:
IEEE Access, Vol 10, Pp 16756-16781 (2022)
Depression is the most common mental illness, which has become the major cause of fear and suicidal mortality or tendencies. Currently, about 10% of the world population has been suffering from depression. The classical approach for detecting depress
Externí odkaz:
https://doaj.org/article/75172656789c478798d8511576005c16
Autor:
Md. Kafiul Islam, Amir Rastegarnia
Publikováno v:
Frontiers in Computational Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/987d3cc08d1146caa7024e95e655f12f
Autor:
Amir Jalilifard, Dehua Chen, Aunnoy K. Mutasim, M. Raihanul Bashar, Rayhan Sardar Tipu, Ahsan-Ul Kabir Shawon, Nazmus Sakib, M. Ashraful Amin, Md. Kafiul Islam
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 23, Iss 4, Pp 903-910 (2020)
Contamination of electroencephalogram (EEG) signals due to natural blinking electrooculogram (EOG) signals is often removed to enhance the quality of EEG signals. This paper discusses the possibility of using solely involuntary blinking signals for h
Externí odkaz:
https://doaj.org/article/017918fded664dd0a81394e1a9268340
Publikováno v:
Sensors, Vol 15, Iss 8, Pp 19466-19486 (2015)
Recorded neural data are frequently corrupted by large amplitude artifacts that are triggered by a variety of sources, such as subject movements, organ motions, electromagnetic interferences and discharges at the electrode surface. To prevent the sys
Externí odkaz:
https://doaj.org/article/d124783086f24979ac43c240e1a05304
Autor:
An JH; Division of Food Bioscience, Kunkuk University, Chungju, 380-701, Korea. 2Department of Chemical and Biomolecular Engineering, Sogang University, Seoul, 121-742, Korea SDepartment of Medical Administration, Daejeon Health Sciences College, Daejeon, 300-711, Korea., Lee JS, Chun JR, Oh BK, Kafi MD, Choi JW
Publikováno v:
Journal of nanoscience and nanotechnology [J Nanosci Nanotechnol] 2012 Jul; Vol. 12 (7), pp. 5143-8.