Zobrazeno 1 - 10
of 83
pro vyhledávání: '"M. M. Manjurul Islam"'
Publikováno v:
Symmetry, Vol 15, Iss 10, p 1934 (2023)
Concept drift (CD) refers to a phenomenon where the data distribution within datasets changes over time, and this can have adverse effects on the performance of prediction models in software engineering (SE), including those used for tasks like cost
Externí odkaz:
https://doaj.org/article/a5b18fc05fb84f038b5396b1db3b8616
Autor:
Muhammad Sohaib, Shahid Munir, M. M. Manjurul Islam, Jungpil Shin, Faisal Tariq, S. M. Mamun Ar Rashid, Jong-Myon Kim
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
A gearbox is a critical rotating component that is used to transmit torque from one shaft to another. This paper presents a data-driven gearbox fault diagnosis system in which the issue of variable working conditions namely uneven speed and the load
Externí odkaz:
https://doaj.org/article/47e18fbd05f140fb9e30d37a5cd80bb6
Publikováno v:
IEEE Access, Vol 7, Pp 121728-121741 (2019)
A rubbing fault is a complex non-linear and non-stationary fault that frequently occurs in rotating machinery such as turbines. One of the most frequently applied signal processing techniques for the analysis of rub-impact faults in rotating machines
Externí odkaz:
https://doaj.org/article/9cf3f32243a140f1994e7412b16d88fd
Publikováno v:
Sensors, Vol 22, Iss 1, p 56 (2021)
Statistical features extraction from bearing fault signals requires a substantial level of knowledge and domain expertise. Furthermore, existing feature extraction techniques are mostly confined to selective feature extraction methods namely, time-do
Externí odkaz:
https://doaj.org/article/08de1e1507b54d8b99eb593be961005d
Publikováno v:
Energies, Vol 14, Iss 16, p 5150 (2021)
This paper presents a comprehensive review of the developments made in rotating bearing fault diagnosis, a crucial component of a rotatory machine, during the past decade. A data-driven fault diagnosis framework consists of data acquisition, feature
Externí odkaz:
https://doaj.org/article/a8788dca1ca94b1ca061e6112b15340b
Autor:
Hossain Shakhawat, Sakir Hossain, Alamgir Kabir, S. M. Hasan Mahmud, M. M. Manjurul Islam, Faisal Tariq
Publikováno v:
Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare ISBN: 9781003251903
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90eb5a9e97fe115ccb2c150eb5e78208
https://doi.org/10.1201/9781003251903-11
https://doi.org/10.1201/9781003251903-11
Autor:
Jakaria Islam Emon, M. M. Manjurul Islam, Syeda Amina Abedin, Shakhawat Hossain, Rupam Kumar Das
Publikováno v:
Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare ISBN: 9781003251903
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d58b4637c8b994c7d9c73ea49505895
https://doi.org/10.1201/9781003251903-14
https://doi.org/10.1201/9781003251903-14
Publikováno v:
Arabian Journal for Science and Engineering. 46:8475-8491
Electric motors perform the crucial task of converting electrical energy into essential mechanical energy on demand. Motors are plentifully used in the industrial sector all over the world to drive mechanical appliances. Despite being robust and stur
Autor:
M. M. Manjurul Islam, Jong-Myon Kim
Publikováno v:
Sensors, Vol 19, Iss 19, p 4251 (2019)
The visual inspection of massive civil infrastructure is a common trend for maintaining its reliability and structural health. However, this procedure, which uses human inspectors, requires long inspection times and relies on the subjective and empir
Externí odkaz:
https://doaj.org/article/bc5f8f31a1854c2c88c81de8de74fbf0
Publikováno v:
Energies, Vol 12, Iss 17, p 3310 (2019)
Among an electricity provider’s non-technical losses, electricity theft has the most severe and dangerous effects. Fraudulent electricity consumption decreases the supply quality, increases generation load, causes legitimate consumers to pay excess
Externí odkaz:
https://doaj.org/article/58509f2049e54d12b9e6f47655d35bac