Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Md. Anwar Hussen Wadud"'
Autor:
Anichur Rahman, Md. Anwar Hussen Wadud, Md. Jahidul Islam, Dipanjali Kundu, T. M. Amir-Ul-Haque Bhuiyan, Ghulam Muhammad, Zulfiqar Ali
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract During the COVID-19 pandemic, there has been a significant increase in the use of internet resources for accessing medical care, resulting in the development and advancement of the Internet of Medical Things (IoMT). This technology utilizes
Externí odkaz:
https://doaj.org/article/ae9dd6be8aef4ba39062c70dc4f11f70
Autor:
Md. Ahsan Habib, Md. Anwar Hussen Wadud, Lubna Yeasmin Pinky, Mehedi Hasan Talukder, Mohammad Motiur Rahman, M. F. Mridha, Yuichi Okuyama, Jungpil Shin
Publikováno v:
IEEE Access, Vol 12, Pp 9572-9585 (2024)
The generation of high-quality images from textual descriptions is a challenging task in computer vision and natural language processing. The goal of text-to-image synthesis, a current topic of research, is to produce excellent images from written de
Externí odkaz:
https://doaj.org/article/ade937ed1f5d4b69b02e515e4d8659fd
Autor:
Md. Anwar Hussen Wadud, Muhammad Mohsin Kabir, M.F. Mridha, M. Ameer Ali, Md. Abdul Hamid, Muhammad Mostafa Monowar
Publikováno v:
International Journal of Information Management Data Insights, Vol 2, Iss 2, Pp 100095- (2022)
Recently, offensive content has become increasingly popular for harassing and criticizing people on numerous social media platforms. This paper proposes an offensive text classification algorithm named LSTM-BOOST employing Long Short-Term Memory(LSTM
Externí odkaz:
https://doaj.org/article/68b3de89a2fa4c23b463f1efe12caab3
Autor:
M. F. Mridha, Md. Anwar Hussen Wadud, Md. Abdul Hamid, Muhammad Mostafa Monowar, M. Abdullah-Al-Wadud, Atif Alamri
Publikováno v:
IEEE Access, Vol 9, Pp 164681-164699 (2021)
Due to the significant increase in Internet activity since the COVID-19 epidemic, many informal, unstructured, offensive, and even misspelled textual content has been used for online communication through various social media. The Bengali and Banglis
Externí odkaz:
https://doaj.org/article/54468f8cfc684c3fb58f1fba6159cd76
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 109 (2022)
A crucial element of computer-assisted pronunciation training systems (CAPT) is the mispronunciation detection and diagnostic (MDD) technique. The provided transcriptions can act as a teacher when evaluating the pronunciation quality of finite speech
Externí odkaz:
https://doaj.org/article/5430f159229a4aa8941a473fec86f81a
Autor:
Ashfia Jannat Keya, Md. Anwar Hussen Wadud, M. F. Mridha, Mohammed Alatiyyah, Md. Abdul Hamid
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8398 (2022)
Fake news detection techniques are a topic of interest due to the vast abundance of fake news data accessible via social media. The present fake news detection system performs satisfactorily on well-balanced data. However, when the dataset is biased,
Externí odkaz:
https://doaj.org/article/2c74fdfadcd048d1ad5240a1a5bfc341
Publikováno v:
Informatics in Medicine Unlocked, Vol 24, Iss , Pp 100603- (2021)
In this paper, we have proposed a classification method of gastrointestinal polyps using the stacking ensemble technique. The ensemble method consisted of three fine-tuned deep convolutional neural network architectures (Xception, ResNet-101, and VGG
Externí odkaz:
https://doaj.org/article/d8bdc664a70c4734b81970e25fd624f5
Autor:
Md Ahsan Habib, Md Anwar Hussen Wadud, Md Fazlul Karim Patwary, Mohammad Motiur Rahman, M. F. Mridha, Yuichi Okuyama, Jungpil Shin
Publikováno v:
IEEE Access, Vol 12, Pp 178401-178440 (2024)
The emergence of generative adversarial networks (GANs) has ignited substantial interest in the domain of synthesizing images from textual descriptions. This approach has demonstrated remarkable versatility and user-friendliness in producing conditio
Externí odkaz:
https://doaj.org/article/10ad5eb551fb4064bc7d6c656c93747a
Publikováno v:
Computer Systems Science and Engineering. 44:1775-1791
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f296225aa5b3efddeccec2c2051c883e
https://doi.org/10.32604/csse.2023.027841
https://doi.org/10.32604/csse.2023.027841
Publikováno v:
Iraqi Journal of Science. :1349-1361
Natural Language Processing (NLP) deals with analysing, understanding and generating languages likes human. One of the challenges of NLP is training computers to understand the way of learning and using a language as human. Every training session con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fadbcfa79466d5594ad48a9577f933cf
https://doi.org/10.24996/ijs.2022.63.3.37
https://doi.org/10.24996/ijs.2022.63.3.37