Zobrazeno 1 - 10
of 95
pro vyhledávání: '"M Ashraful Amin"'
Autor:
Md. Arko Ayon Chowdhury, Md. Rakibul Islam, Al Amin, Sadia Noor Mou, Kazi Newaz Ullah, Abdul Baten, Mohammad Shoyaib, Amin Ahsan Ali, Farhana Tasnim Chowdhury, Md. Lifat Rahi, Haseena Khan, M Ashraful Amin, Mohammad Riazul Islam
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-7 (2023)
Abstract The silver pride of Bangladesh, migratory shad, Tenualosa ilisha (Hilsa), makes the highest contribution to the total fish production of Bangladesh. Despite its noteworthy contribution, a well-annotated transcriptome data is not available. H
Externí odkaz:
https://doaj.org/article/d17d43e968f44ad9971a15d2aad79916
Autor:
Tahnia Nazneen, Iffath Binta Islam, Md. Sakibur Rahman Sajal, Wasifa Jamal, M. Ashraful Amin, Ravi Vaidyanathan, Tom Chau, Khondaker A. Mamun
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
The study of brain-to-brain synchrony has a burgeoning application in the brain-computer interface (BCI) research, offering valuable insights into the neural underpinnings of interacting human brains using numerous neural recording technologies. The
Externí odkaz:
https://doaj.org/article/5e96b36294c7434d97a663d71894a72b
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
Autor:
Tanzila Tahsin Mayabee, Kazi Tahsinul Haque, Saadia Binte Alam, Rashedur Rahman, M. Ashraful Amin, Syoji Kobashi
Publikováno v:
Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering ISBN: 9789811994821
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::810ca7baa4f386802ed0200ff4000a1c
https://doi.org/10.1007/978-981-19-9483-8_21
https://doi.org/10.1007/978-981-19-9483-8_21
Publikováno v:
Innovations in Systems and Software Engineering. 16:309-319
The availability of images of events almost in real-time on social media has a prospect in many application developments. A humanitarian technology for disaster type and level assessment can be developed using the images and video available on social
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1a6c468e2ac047db4b3f1298847caad
https://doi.org/10.1007/s11334-020-00368-1
https://doi.org/10.1007/s11334-020-00368-1
Autor:
Tonmoay Deb, Akib Sadmanee, Kishor Kumar Bhaumik, Amin Ahsan Ali, M Ashraful Amin, A K M Mahbubur Rahman
While describing Spatio-temporal events in natural language, video captioning models mostly rely on the encoder's latent visual representation. Recent progress on the encoder-decoder model attends encoder features mainly in linear interaction with th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51deb405dd2b3b6e4b78d551db4b6180
http://arxiv.org/abs/2201.00985
http://arxiv.org/abs/2201.00985
Autor:
Shehzan Haider Chowdhury, Murshed Al Amin, A K M Mahbubur Rahman, M Ashraful Amin, Amin Ahsan Ali
Publikováno v:
2021 24th International Conference on Computer and Information Technology (ICCIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d51dd7c9d396a18dcfed09ea1dc448e6
https://doi.org/10.1109/iccit54785.2021.9689826
https://doi.org/10.1109/iccit54785.2021.9689826
Publikováno v:
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa362b8e289eb2f08ff57ed5ef12ba45
https://doi.org/10.1109/icecet52533.2021.9698430
https://doi.org/10.1109/icecet52533.2021.9698430
Autor:
Fahim Faisal Niloy, Ovi Paul, Arif, Moinul Zaber, M. Ashraful Amin, Amin Ahsan Ali, Anis Sarker, Abu Bakar Siddik Nayem, Akm Mahbubur Rahman
The advancement of deep learning technology has enabled us to develop systems that outperform any other classification technique. However, success of any empirical system depends on the quality and diversity of the data available to train the propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f120029a61746f0fda7e1459556038fd
http://arxiv.org/abs/2107.01284
http://arxiv.org/abs/2107.01284
High-resolution image segmentation remains challenging and error-prone due to the enormous size of intermediate feature maps. Conventional methods avoid this problem by using patch based approaches where each patch is segmented independently. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cc59c3013381358cca3f79627a0d654
http://arxiv.org/abs/2106.12902
http://arxiv.org/abs/2106.12902