8 citations · 12 across the 5 of their papers we have counts for
5 papers
High-Fidelity Transcranial Ultrasound Multi-focal Stimulation via Physics-Aware Hologram Technique
Moon Hwan Lee, Mohd. Afzal Khan, Akm Ashiquzzaman +5
Transcranial ultrasound stimulation (TUS) offers non-invasive deep-brain neuromodulation with high spatial precision, but reliably generating complex multi-target acoustic fields t…
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…
Handwritten Arabic Numeral Recognition using Deep Learning Neural Networks
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. Ar…