Publications
A Deep Learning-based Unified Solution for Character Recognition
ICPR 2022
Ekush: A Multipurpose and Multitype Comprehensive Database for Online Off-line Bangla Handwritten Characters
🏆 Won Best Best Paper Award at rtip2r 2018 🏆
EkushNet: Using Convolutional Neural Network for Bangla Handwritten Recognition
ICACC 2018
A Universal Way to Collect and Process Handwritten Data for Any Language
ICACC 2018
A Potent Model to Recognize Bangla Sign Language Digits Using Convolution Neural Network
ICACC 2018
Bangla Handwritten Digit Recognition using Convolutional Neural Network
🏆 Won Best Best Paper Award at IEMIS 2018 🏆
BornoNet: Bangla Handwritten Characters Recognition Using Convolutional Neural Network
ICACC 2018
ShonkhaNet: A Dynamic Routing for Bangla Handwritten Digits Recognition Using Capsule Network
rtip2018
OnkoGan: Bangla Handwritten Digit Generation with Deep Convolutional Generative Adversarial Networks
rtip2r2018
ExNET: Deep Neural Network for Exercise Pose Detection
rtip2r2018
Ishara-Lipi: The First Complete MultipurposeOpen Access Dataset of Isolated Characters for Bangla Sign Language
ICBSLP 2018
Ishara-Bochon: The First Multipurpose Open Access Dataset for Bangla Sign Language Isolated Digits
rtip2r2018
A Simple and Mighty Arrowhead Detection Technique of Bangla Sign Language Characters with CNN
rtip2r2018
Abstractive method of text summarization with sequence to sequence RNNs
ICCNT2019
PataNET: A Convolutional Neural Networks to Identify Plant from Leaf Images
ICCNT2019
Machine Learning algorithm for Student’s Performance Prediction
ICCNT2019
A Machine Learning Approach to Recognize Junk Food
ICCNT2019
Machine Learning Applied to Kidney Disease Prediction: Comparison Study
ICCNT2019
Detection of Maize and Peach Leaf diseases using Image Processing
ICCNT2019
Back