69 citations · 90 across the 7 of their papers we have counts for
14 papers
Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis
Rabin Dulal, Lihong Zheng, Muhammad Ashad Kabir +4
You Only Look Once (YOLO) is a single-stage object detection model popular for real-time object detection, accuracy, and speed. This paper investigates the YOLOv5 model to identify…
A Systematic Review of Machine Learning Techniques for Cattle Identification: Datasets, Methods and Future Directions
Md Ekramul Hossain, Muhammad Ashad Kabir, Lihong Zheng +3
Increased biosecurity and food safety requirements may increase demand for efficient traceability and identification systems of livestock in the supply chain. The advanced technolo…
Understanding the Effect of Smartphone Cameras on Estimating Munsell Soil Colors from Imagery
Ricky Sinclair, Muhammad Ashad Kabir
The Munsell soil color chart (MSCC) is a in laboratories under controlled conditions. To support an appbased solution, this paper explores three research areas including: (i) ident…
An Ensemble-based Multi-Criteria Decision Making Method for COVID-19 Cough Classification
Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman
The objectives of this research are analysing the performance of the state-of-the-art machine learning techniques for classifying COVID-19 from cough sound and identifying the mode…
Understanding the Social Determinants of Mental Health of the Undergraduate Students in Bangladesh: Interview Study
Ananya Bhattacharjee, S M Taiabul Haque, Abdul Hady +4
Objective: This study aims to identify the social determinants of mental health among undergraduate students in Bangladesh, a developing nation in South Asia. Our goal is to identi…
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging
Aishwarza Panday, Muhammad Ashad Kabir, Nihad Karim Chowdhury
Due to the limited availability and high cost of the reverse transcription-polymerase chain reaction (RT-PCR) test, many studies have proposed machine learning techniques for detec…