Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Shanto Rahman"'
Autor:
Md. Mostafijur Rahman, Shanto Rahman, Rayhanur Rahman, B. M. Mainul Hossain, Mohammad Shoyaib
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2017, Iss 1, Pp 1-24 (2017)
Abstract Despite lots of effort being exerted in designing feature descriptors, it is still challenging to find generalized feature descriptors, with acceptable discrimination ability, which are able to capture prominent features in various image pro
Externí odkaz:
https://doaj.org/article/a54ad7f0d6224b62af076d7f648a1f8f
Autor:
Abdullah Al-Nur Shanto Rahman, Mizanur Rahman, Mehedi Hasan Shimanto, Mohammad Golam Kibria, Mahmuda Islam
Publikováno v:
Functional Plant Biology. 49:307-318
The density and guard cell length of stomata regulate the physiological processes in plants. Yet, the variation of stomatal characteristics among different functional groups of trees is not been well understood. Particularly, a comprehensive understa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b427fa0d95459a58cffa2d32cb523cbe
https://doi.org/10.1071/fp21159
https://doi.org/10.1071/fp21159
Autor:
Tahasina Chowdhury, Mehedi Hasan Shimanto, Abdullah Al-Nur Shanto Rahman, Mizanur Rahman, Jannatul Ferdous, Pabitra Singha Sagor, Mahmuda Islam
Publikováno v:
Environment, Development and Sustainability
We performed a global analysis with data from 149 countries to test whether temperature can explain the spatial variability of the spread rate and mortality of COVID-19 at the global scale. We performed partial correlation analysis and linear mixed e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b7cfc59ea38eced44fa7d99bf8e13d6
http://europepmc.org/articles/PMC7538192
http://europepmc.org/articles/PMC7538192
Publikováno v:
2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD).
Poor software design and coding tend the software programs to be buggy at a massive rate. To enhance the code quality this paper proposes an automatic anti-pattern detection technique, which identifies anti-patterns from source code using Machine Lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52cfc97388ed2d386376b976cd314019
https://doi.org/10.1109/icict4sd50815.2021.9396937
https://doi.org/10.1109/icict4sd50815.2021.9396937
Autor:
Tahasina Chowdhury, Jannatul Ferdous, Mizanur Rahman, Pabitra Singha Sagor, Mehedi Hasan Shimanto, Abdullah Al-Nur Shanto Rahman, Mahmuda Islam
We performed a global analysis with data from 149 countries to test whether temperature can explain the spatial variability of the spread rate and mortality of COVID-19 at the global scale. We performed partial correlation analysis and linear mixed e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab53b39b925ffd995a76c3c8e1d5efff
Publikováno v:
Signal, Image and Video Processing. 12:281-289
Census transformation and its variants have gained popularity in image classification for their simplicity and better performance. To describe a texture pattern, these approaches generally use sign information while comparing neighboring pixels. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e092fe4a6cc58ea5e8f33f1ffd8a8bf
https://doi.org/10.1007/s11760-017-1156-x
https://doi.org/10.1007/s11760-017-1156-x
Publikováno v:
International Journal of Software Innovation. 4:15-34
As image enhancement is a well discussed issue, various methods have already been proposed till to date. Some of these methods perform well for specific applications but most of the techniques suffer from artifacts due to the over or under enhancemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::154caa3f948296917d6f44c63a3f5d3b
https://doi.org/10.4018/ijsi.2016100102
https://doi.org/10.4018/ijsi.2016100102
Autor:
Shah Mostafa Khaled, Muhammad Asif Hossain Khan, Mohammad Shoyaib, Shanto Rahman, M. Abdullah-Al Wadud, Md. Mostafijur Rahman, Khalid Hussain
Publikováno v:
IPSJ Transactions on Computer Vision and Applications, Vol 10, Iss 1, Pp 1-11 (2018)
Traditional image enhancement techniques produce different types of noise such as unnatural effects, over-enhancement, and artifacts, and these drawbacks become more prominent in enhancing dark images. To overcome these drawbacks, we propose a dark i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30770d9d1182f0306d0e155a75129b54
https://doi.org/10.1186/s41074-018-0040-0
https://doi.org/10.1186/s41074-018-0040-0
Publikováno v:
International Journal of Information Technology and Computer Science. 7:19-27
Gender recognition from facial images has become an empirical aspect in present world. It is one of the main problems of computer vision and researches have been conducting on it. Though several techniques have been proposed, most of the techniques f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bb74a7b6df2bac57d1d901378c63be0
https://doi.org/10.5815/ijitcs.2015.07.03
https://doi.org/10.5815/ijitcs.2015.07.03
As image enhancement is a well discussed issue, various methods have already been proposed till to date. Some of these methods perform well for specific applications but most of the techniques suffer from artifacts due to the over or under enhancemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e850c83498be3791e84bd50c3f2596a5
https://doi.org/10.4018/978-1-5225-5204-8.ch051
https://doi.org/10.4018/978-1-5225-5204-8.ch051