no code implementations • 17 Sep 2023 • Chowdhury Rafeed Rahman, Limsoon Wong
In this paper, we are more interested in analyzing its potential in the field of computational biology.
1 code implementation • 20 Aug 2022 • Chowdhury Rafeed Rahman, Md. Hasibur Rahman, Samiha Zakir, Mohammad Rafsan, Mohammed Eunus Ali
A specialized BERT model named BSpell has been proposed in this paper targeted towards word for word correction in sentence level.
no code implementations • 20 Aug 2022 • Chowdhury Rafeed Rahman
We propose a learning based two stage method for synthetic data generation for GEC that relaxes this constraint on sentences containing only one error.
no code implementations • 25 Oct 2021 • Chowdhury Rafeed Rahman, Md. Hasibur Rahman, Mohammad Rafsan, Samiha Zakir, Mohammed Eunus Ali, Rafsanjani Muhammod
Though there has been a large body of recent works in language modeling (LM) for high resource languages such as English and Chinese, the area is still unexplored for low resource languages like Bengali and Hindi.
no code implementations • 20 Jul 2020 • Ruhul Amin, Chowdhury Rafeed Rahman, Md. Sadrul Islam Toaha, Swakkhar Shatabda
DNA N6-methylation (6mA) in Adenine nucleotide is a post replication modification and is responsible for many biological functions.
no code implementations • 21 Apr 2020 • Tashin Ahmed, Chowdhury Rafeed Rahman, Md. Faysal Mahmud Abid
This initial phase results in a secondary dataset of rice grains devoid of heterogeneous background.
no code implementations • 18 Mar 2020 • Abu Saleh Md. Abir, Sanjana Rahman, Samia Ellin, Maisha Farzana, Md Hridoy Manik, Chowdhury Rafeed Rahman
In a world of digitization, optical character recognition holds the automation to written history.
Optical Character Recognition Optical Character Recognition (OCR) +1
no code implementations • 7 Mar 2020 • Md. Habibur Rahman Sifat, Chowdhury Rafeed Rahman, Mohammad Rafsan, Md. Hasibur Rahman
While writing Bengali using English keyboard, users often make spelling mistakes.
1 code implementation • 4 Mar 2020 • Md. Sadrul Islam Toaha, Sakib Bin Asad, Chowdhury Rafeed Rahman, S. M. Shahriar Haque, Mahfuz Ara Proma, Md. Ahsan Habib Shuvo, Tashin Ahmed, Md. Amimul Basher
We have taken an incremental approach in reaching our final proposed method through detailed evaluation and comparison with baselines using our constructed SVSO (Street View Signboard Objects) signboard dataset containing signboard natural scene images of six developing countries.
no code implementations • 21 Dec 2019 • Ruhul Amin, Chowdhury Rafeed Rahman, Md. Habibur Rahman Sifat, Md Nazmul Khan Liton, Md. Moshiur Rahman, Swakkhar Shatabda, Sajid Ahmed
We present iPromoter-BnCNN for identification and accurate classification of six types of promoters - sigma24, sigma28, sigma32, sigma38, sigma54, sigma70.
no code implementations • 30 Nov 2019 • Md. Hasibur Rahman, Chowdhury Rafeed Rahman, Ruhul Amin, Md. Habibur Rahman Sifat, Afra Anika
Question Classification (QC) system classifies the questions in particular classes so that Question Answering (QA) System can provide correct answers for the questions.
no code implementations • 8 Nov 2019 • Afra Anika, Md. Hasibur Rahman, Salekul Islam, Abu Shafin Mohammad Mahdee Jameel, Chowdhury Rafeed Rahman
QA classification system maps questions asked by humans to an appropriate answer category.
no code implementations • 3 Dec 2018 • Chowdhury Rafeed Rahman, Preetom Saha Arko, Mohammed Eunus Ali, Mohammad Ashik Iqbal Khan, Sajid Hasan Apon, Farzana Nowrin, Abu Wasif
Being motivated by the success of CNNs in image classification, deep learning based approaches have been developed in this paper for detecting diseases and pests from rice plant images.