Zobrazeno 1 - 10
of 12
pro vyhledávání: '"M. M. Naushad Ali"'
Autor:
Ahmed Al Mansur, Md. Imamul Islam, Md. Sabbir Alam, Mohd Shawal Jadin, Zinat Sultana, M. M. Naushad Ali, ASM Shihavuddin
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110482- (2024)
This data article presents a comprehensive dataset comprising experimentally tested characteristics of newly manufactured photovoltaic (PV) modules, which have been collected by using a commercial PV testing system from a solar panel manufacturer com
Externí odkaz:
https://doaj.org/article/48f8cd62f78f495e866ae19b65418919
Autor:
Molla Shahadat Hossain Lipu, Md. Sazal Miah, Shaheer Ansari, Safat B. Wali, Taskin Jamal, Rajvikram Madurai Elavarasan, Sachin Kumar, M. M. Naushad Ali, Mahidur R. Sarker, A. Aljanad, Nadia M. L. Tan
Publikováno v:
Batteries, Vol 8, Iss 11, p 219 (2022)
Electric vehicles (EVs) have received widespread attention in the automotive industry as the most promising solution for lowering CO2 emissions and mitigating worldwide environmental concerns. However, the effectiveness of EVs can be affected due to
Externí odkaz:
https://doaj.org/article/a7da0df68944488b91689c243d2cea18
Autor:
Md Ashraful Islam, M M Naushad Ali, Ahmed Jaudat Nahian, Md Hasan Maruf, Molla Shahadat Hossain Lipu, ASM Shihavuddin
Publikováno v:
2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baf921cdb7cbaef200f9354d815de479
https://doi.org/10.1109/sti56238.2022.10103245
https://doi.org/10.1109/sti56238.2022.10103245
Publikováno v:
2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9279519aac612fe8660cc5ee36736ea0
https://doi.org/10.1109/sti56238.2022.10103319
https://doi.org/10.1109/sti56238.2022.10103319
Autor:
Niloy Barua Avra, Pulak Majumder, Jannatul Ferdous, Umme Fariha, M M Naushad Ali, Khalid Imtiaz Saad
Publikováno v:
2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55e3fe49b4e0a757d645afb2a6d3739b
https://doi.org/10.1109/sti56238.2022.10103256
https://doi.org/10.1109/sti56238.2022.10103256
Autor:
Abdul Hasib Siddique, Nusrat Chowdhury, M. M. Naushad Ali, Ahmed Jaudat Nahian, Chowdhury Akram Hossain, Mehedi Hasan
Publikováno v:
2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST).
In today's world, large scale hydroelectric power plants have an impact in the energy demography; although, the huge potential of pico, micro and mini-hydropower plants are still very much untapped. In this work, a techno-economic viability, of mini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55da5c9873279a3543378be35d9fcdcb
https://doi.org/10.1109/icrest51555.2021.9331089
https://doi.org/10.1109/icrest51555.2021.9331089
Publikováno v:
Applied Mechanics and Materials. :176-179
Object association and tracking have attracted great attention in the computer vision. In this paper, we present an object association and tracking method for monitoring multiple vehicles on the road based on objects' visual features and the similari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47537d18a1e86fceddd0c8f836cc4653
https://doi.org/10.4028/www.scientific.net/amm.536-537.176
https://doi.org/10.4028/www.scientific.net/amm.536-537.176
Publikováno v:
Applied Mechanics and Materials. :1200-1204
Moving human detection and tracking are challenging tasks in computer vision. Human motion is usually non-linear and non-Gaussian, and thus many common algorithms are not appropriate for tracking. In this paper we propose a robust tracking algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00ce569814173f98d9e4b345d1fe1290
https://doi.org/10.4028/www.scientific.net/amm.321-324.1200
https://doi.org/10.4028/www.scientific.net/amm.321-324.1200
Autor:
Md. Ashraful Alam, Md. Abdur Rahaman, M. M. Naushad Ali, Nawaj Sorif, Musaddeque Anwar Al-Abedin Syed
Publikováno v:
The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2014).
This paper proposes an effective algorithm for detecting and distinguishing defects in industrial pipes. In many of the industries, conventional defects detection methods are performed by experienced human inspectors who sketch defect patterns manual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::069cb9d052b71f955c1942f39ec1dec4
https://doi.org/10.1109/skima.2014.7083567
https://doi.org/10.1109/skima.2014.7083567
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642352690
Image enhancement algorithms based on Histogram equalization (HE) often fall short to maintain the image quality after enhancement due to quantum jump in the cumulative distribution function (CDF) in the histogram. Moreover, some detail parts appear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94103ea0dfbbe09c640d7d57fc57d2ba
https://doi.org/10.1007/978-3-642-35270-6_3
https://doi.org/10.1007/978-3-642-35270-6_3
