8 citations · 17 across the 7 of their papers we have counts for
7 papers
Mental Health and Sensing
Abdul Kawsar Tushar, Muhammad Ashad Kabir, Syed Ishtiaque Ahmed
Mental health is a global epidemic, affecting close to half a billion people worldwide. Chronic shortage of resources hamper detection and recovery of affected people. Effective se…
An Efficient Single Chord-based Accumulation Technique (SCA) to Detect More Reliable Corners
Mohammad Asiful Hossain, Abdul Kawsar Tushar, Shofiullah Babor
Corner detection is a vital operation in numerous computer vision applications. The Chord-to-Point Distance Accumulation (CPDA) detector is recognized as the contour-based corner d…
Applying Data Augmentation to Handwritten Arabic Numeral Recognition Using Deep Learning Neural Networks
Akm Ashiquzzaman, Abdul Kawsar Tushar, Md Ashiqur Rahman
Handwritten character recognition has been the center of research and a benchmark problem in the sector of pattern recognition and artificial intelligence, and it continues to be a…
Reduction of Overfitting in Diabetes Prediction Using Deep Learning Neural Network
Akm Ashiquzzaman, Abdul Kawsar Tushar, Md. Rashedul Islam +1
Augmented accuracy in prediction of diabetes will open up new frontiers in health prognostics. Data overfitting is a performance-degrading issue in diabetes prognosis. In this stud…
A Novel Transfer Learning Approach upon Hindi, Arabic, and Bangla Numerals using Convolutional Neural Networks
Abdul Kawsar Tushar, Akm Ashiquzzaman, Afia Afrin +1
Increased accuracy in predictive models for handwritten character recognition will open up new frontiers for optical character recognition. Major drawbacks of predictive machine le…
Chord Angle Deviation using Tangent (CADT), an Efficient and Robust Contour-based Corner Detector
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…