Md. Rashed-Al-Mahfuz, Mohammad Ali Moni, Shahadat Uddin, Salem A. Alyami et al.
BACKGROUND: Diagnosing epileptic seizures using electroencephalogram (EEG) in combination with deep learning computational methods has received much attention in recent years. However, to date, deep learning techniques in seizure detection have not been effectively harnessed due to sub-optimal class...
Md. Mohsin Kabir, M. F. Mridha, Jungpil Shin, Israt Jahan et al.
Humans can identify a speaker by listening to their voice, over the telephone, or on any digital devices. Acquiring this congenital human competency, authentication technologies based on voice biometrics, such as automatic speaker recognition (ASR), have been introduced. An ASR recognizes speakers b...
Akm Ashiquzzaman, Abdul Kawsar Tushar
Handwritten character recognition is an active area of research with applications in numerous fields. Past and recent works in this field have concentrated on various languages. Arabic is one language where the scope of research is still widespread, with it being one of the most popular languages in...
Amit Kumar Das, Abdullah Al Asif, Anik Paul, Md. Nur Hossain
Abstract Hate speech has spread more rapidly through the daily use of technology and, most notably, by sharing your opinions or feelings on social media in a negative aspect. Although numerous works have been carried out in detecting hate speeches in English, German, and other languages, very few wo...
Md. Mahbubar Rahman, M. A. H. Akhand, Shahidul Islam, Pintu Chandra Shill et al.
Handwritten character recognition complexity varies among different languages due to distinct shapes, strokes and number of characters. Numerous works in handwritten character recognition are available for English with respect to other major languages such as Bangla. Existing methods use distinct fe...
Alvi Md. Ishmam, Sadia Sharmin
Online hateful speech detection and classification in social media for the various major languages other than English has drawn the attention of researchers recently. In this paper, we develop Machine Learning (ML) algorithms based model, as well as Gated Recurrent Unit (GRU), based deep neural netw...
Daniel E. Callan, Jeffery A. Jones, Kevin G. Munhall, Christian Kroos et al.
Perception of speech is improved when presentation of the audio signal is accompanied by concordant visual speech gesture information. This enhancement is most prevalent when the audio signal is degraded. One potential means by which the brain affords perceptual enhancement is thought to be through ...
Fazla Rabbi Mashrur, Md. Saiful Islam, D Saha, S. M. Riazul Islam et al.
Sleep apnea is a common symptomatic disease affecting nearly 1 billion people around the world. The gold standard approach for determining the severity of sleep apnea is full-night polysomnography conducted in the laboratory, which is very costly and cumbersome. In this work, we propose a novel scal...
Mithun Biswas, Rafiqul Islam, Gautam Kumar Shom, Md Shopon et al.
BanglaLekha-Isolated, a Bangla handwritten isolated character dataset is presented in this article. This dataset contains 84 different characters comprising of 50 Bangla basic characters, 10 Bangla numerals and 24 selected compound characters. 2000 handwriting samples for each of the 84 characters w...
Li Zhang, Ming Jiang, Dewan Md. Farid, Mohammad Alamgir Hossain
Jungpil Shin, Akitaka Matsuoka, Md. Al Mehedi Hasan, Azmain Yakin Srizon
Sign language is designed to assist the deaf and hard of hearing community to convey messages and connect with society. Sign language recognition has been an important domain of research for a long time. Previously, sensor-based approaches have obtained higher accuracy than vision-based approaches. ...
Rumman Rashid Chowdhury, Mohammad Shahadat Hossain, Raihan Ul Islam, Karl Andersson et al.
This paper proposes a process of Handwritten Character Recognition to recognize and convert images of individual Bangla handwritten characters into electronically editable format, which will create opportunities for further research and can also have various practical applications. The dataset used ...
Nitish Ranjan Bhowmik, Mohammad Arifuzzaman, M. Rubaiyat Hossain Mondal
Sentiment analysis (SA) is a subset of natural language processing (NLP) research. In the case of categorical weighted based dictionary with rule-based sentiment score generation, no work in SA has been done yet in Bangla language using deep learning (DL) approaches. This paper proposes DL models fo...
Anindya Bijoy Das, Mohammed Imamul Hassan Bhuiyan, Samiul Alam
Jungpil Shin, Abu Saleh Musa Miah, Md. Al Mehedi Hasan, Koki Hirooka et al.
Sign language recognition (SLR) is one of the crucial applications of the hand gesture recognition and computer vision research domain. There are many researchers who have been working to develop a hand gesture-based SLR application for English, Turkey, Arabic, and other sign languages. However, few...