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...
Akm Ashiquzzaman, Abdul Kawsar Tushar, Md. Rashedul Islam, Dongkoo Shon et al.
Accurate prediction of diabetes is an important issue in health prognostics. However, data overfitting degrades the prediction accuracy in diabetes prognosis. In this paper, a reliable prediction system for the disease of diabetes is presented using a dropout method to address the overfitting issue....
Akm Ashiquzzaman, Abdul Kawsar Tushar, Md Ashiqur Rahman, Farzana Mohsin
Akm Ashiquzzaman, Abdul Kawsar Tushar, Shantanu Dutta, Farzana Mohsin
Handwritten character recognition is an essential part of optical character recognition domain. Bangla handwritten compound character recognition is a complex task that is challenging due to extensive size of and sheer diversity within the alphabet. The current work proposes a novel method of recogn...
Abdul Kawsar Tushar, Akm Ashiquzzaman, Afia Afrin, Md. Rashedul Islam
Increased accuracy in predictive models for handwritten character recognition will open up new frontiers for optical character recognition. Major drawbacks of predictive machine learning models are headed by the elongated training time taken by some models, and the requirement that training and test...
Abdul Kawsar Tushar, Akm Ashiquzzaman, Md. Rashedul Islam
Hand signs and signals are the staple form of expression for the hearing and speech impaired people. Human Computer Interaction technology enable people to interact with computer machine using hand gestures. Common sign languages use separate hand signals to communicate different decimals. Recent de...
Rasel Ahmed Bhuiyan, Abdul Kawsar Tushar, Akm Ashiquzzaman, Jungpil Shin et al.
A major form of non-touch human-computer interaction (HCI) is hand gesture recognition. This is one of the appealing ways to interact with computers and a natural part of how we communicate. However, as a part of HCI, human hand gesture recognition is a challenging issue. From this point of view, th...
Abdul Kawsar Tushar, Iffat Jahan Antara, Dipto Das, Priyank Chandra et al.
Stigma, a critical challenge for social justice, has not received much attention in ICTD literature. Most existing designs that aim to combat stigma draw on an 'information and awareness' approach that is often inadequate to address stigma's deeper roots. To address this gap, we have conducted an in...
Mohammad Sakib Mahmud, Mahbub Arab Majumder, Abdul Kawsar Tushar, Md. Mahtab Kamal et al.
The relationship between nurse and patient is vital as well as vulnerable on which a significant portion of well-being of patient depends. The recent growth of Internet of Things provides the opportunity to maintain this relationship in a more secure and efficient way. From this point of view, this ...
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...
Mohammad Asiful Hossain, Abdul Kawsar Tushar
Detection of corner is the most essential process in a large number of computer vision and image processing applications. We have mentioned a number of popular contour-based corner detectors in our paper. Among all these detectors chord to triangular arm angle (CTAA) has been demonstrated as the mos...
Akm Ashiquzzaman, Abdul Kawsar Tushar
Handwritten character recognition is an active area of research with\napplications in numerous fields. Past and recent works in this field have\nconcentrated on various languages. Arabic is one language where the scope of\nresearch is still widespread, with it being one of the most popular languages...
A. M. Sarwaruddin Chowdhury, Tumpa Moni, Abdul Kawsar Tushar, Md. Parvez Hossain et al.
Lung cancer stands as a prevalent and lethal global ailment, emphasizing the critical role of early detection in enhancing a patient's likelihood of survival. Computed Tomography (CT) scans are extensively utilized for screening and diagnosis. Applications of deep learning have drawn a lot of intere...
Md. Rashedul Islam, Abdul Kawsar Tushar, Jong-Myon Kim
Early and efficient fault diagnosis of bearing of industrial motor is a modern demand for reducing unexpected breakdown of industrial process. Extracting the intrinsic fault signature in very early stage is important. In this point of view, this paper proposes a fault diagnosis model of industrial b...
Shantanu Dutta, Abdul Kawsar Tushar, Md Abdullah Al Mamun, Alvi Md. Ishmam et al.
Reporting of problems is one of the best approaches for the national development of a country. A proper reporting system can yield previously unknown, but critical information for combating human errors and ensuring smooth flow of operation. A one-stop generic reporting platform can be a useful coll...