22 citations · 43 across the 7 of their papers we have counts for
7 papers
Effects of Real-Life Traffic Sign Alteration on YOLOv7- an Object Recognition Model
Farhin Farhad Riya, Shahinul Hoque, Md Saif Hassan Onim +3
The widespread adoption of Image Processing has propelled Object Recognition (OR) models into essential roles across various applications, demonstrating the power of AI and enablin…
A Transfer-Learning Based Ensemble Architecture for ECG Signal Classification
Tareque Bashar Ovi, Sauda Suara Naba, Dibaloke Chanda +1
Manual interpretation and classification of ECG signals lack both accuracy and reliability. These continuous time-series signals are more effective when represented as an image for…
A Combined PCA-MLP Network for Early Breast Cancer Detection
Md. Wahiduzzaman Khan Arnob, Arunima Dey Pooja, Md. Saif Hassan Onim
Breast cancer is the second most responsible for all cancer types and has been the cause of numerous deaths over the years, especially among women. Any improvisation of the existin…
BLPnet: A new DNN model and Bengali OCR engine for Automatic License Plate Recognition
Md. Saif Hassan Onim, Hussain Nyeem, Koushik Roy +4
The development of the Automatic License Plate Recognition (ALPR) system has received much attention for the English license plate. However, despite being the sixth largest populat…
Modelling Lips-State Detection Using CNN for Non-Verbal Communications
Abtahi Ishmam, Mahmudul Hasan, Md. Saif Hassan Onim +3
Vision-based deep learning models can be promising for speech-and-hearing-impaired and secret communications. While such non-verbal communications are primarily investigated with h…
Traffic Surveillance using Vehicle License Plate Detection and Recognition in Bangladesh
Md. Saif Hassan Onim, Muhaiminul Islam Akash, Mahmudul Haque +1
Computer vision coupled with Deep Learning (DL) techniques bring out a substantial prospect in the field of traffic control, monitoring and law enforcing activities. This paper pre…
LULC classification by semantic segmentation of satellite images using FastFCN
Md. Saif Hassan Onim, Aiman Rafeed Ehtesham, Amreen Anbar +2
This paper analyses how well a Fast Fully Convolutional Network (FastFCN) semantically segments satellite images and thus classifies Land Use/Land Cover(LULC) classes. Fast-FCN was…