Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mohammed Sowket Ali"'
Autor:
Mohammad Motiur Rahman, Md. Harun-Ar-Rashid, Mohammed Sowket Ali, Oindrila Chowdhury, Rezaul Karim, Al Shahriar Rubel, Mir Mohammad Azad
Publikováno v:
Journal of Hunan University Natural Sciences. 49:32-43
The T wave is the most important portion of the Electrocardiogram (ECG) since it detects abnormalities. Various ECG leads produce different T waves. In research, various waveform morphologies may present as an indication of benign or clinically signi
Publikováno v:
European Journal of Information Technologies and Computer Science. 2:1-6
Millions of people throughout the world suffer with Parkinson's disease (PD), severely reducing their quality of life. With the symptoms when we detect Parkinson disease automatically, it could provide insights to the disease's early stages of develo
Autor:
Md. Toukir Ahmed, Mohammed Sowket Ali
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 10:3166-3173
The most common image taken in the medical field for diagnosis of any ailment affecting the chest is chest radiography (Chest X-ray). The most common image taken in the medical field for diagnosis of any ailment affecting the chest or neighboring are
Autor:
Muhammad Minoar Hossain, Mohammed Sowket Ali, Reshma Ahmed Swarna, Md. Mahmodul Hasan, Nahida Habib, Md. Wahidur Rahman, Mir Mohammad Azad, Mohammad Motiur Rahman
Publikováno v:
2021 24th International Conference on Computer and Information Technology (ICCIT).
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 16:1189-1196
This paper provides an identification method for three-parameter models i.e. first order with dead time models and second order with dead time models. The proposed identification method is based on step response and can be easily implemented using di
Publikováno v:
ICCAS 2010.
This paper provides an identification method for three-parameter models i.e. first order with dead time models (FODT) and second order with dead time (SODT) models. The proposed identification method is based on step response and can be easily implem