5 papers
Hybrid Machine Learning Framework for Herd-Level Cattle Growth Pattern and Weight Gain Forecasting in Grazing-Based Production Systems
Muhammad Riaz Hasib Hossain, Rafiqul Islam, Shawn R. McGrath +2
Commercial grazing systems yield irregular livestock observations, which challenge cattle growth forecasting. This study developed a hybrid machine learning framework for herd leve…
SA-DRL: Security-Aware Deep Reinforcement Learning for Ransomware Detection with Asymmetric Reward Design
Jannatul Ferdous, Rafiqul Islam, Md Zahidul Islam
Ransomware detection is a security-critical task in which false negatives and false positives have unequal operational consequences. Conventional machine learning detectors often u…
Mob-based cattle weight gain forecasting using ML models
Muhammad Riaz Hasib Hossain, Rafiqul Islam, Shawn R McGrath +2
Forecasting mob based cattle weight gain (MB CWG) may benefit large livestock farms, allowing farmers to refine their feeding strategies, make educated breeding choices, and reduce…
Learning-based estimation of cattle weight gain and its influencing factors
Muhammad Riaz Hasib Hossain, Rafiqul Islam, Shawn R. McGrath +2
Many cattle farmers still depend on manual methods to measure the live weight gain of cattle at set intervals, which is time consuming, labour intensive, and stressful for both the…
CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment
Mohamamd Zavid Parvez, Rafiqul Islam, Md Zahidul Islam
In a hyperconnected environment, medical institutions are particularly concerned with data privacy when sharing and transmitting sensitive patient information due to the risk of da…