6 citations · 7 across the 10 of their papers we have counts for
11 papers
FryNet: Dual-Stream Adversarial Fusion for Non-Destructive Frying Oil Oxidation Assessment
Khaled R Ahmed, Toqi Tahamid Sarker, Taminul Islam +2
Monitoring frying oil degradation is critical for food safety, yet current practice relies on destructive wet-chemistry assays that provide no spatial information and are unsuitabl…
TRACE: Thermal Recognition Attentive-Framework for CO2 Emissions from Livestock
Taminul Islam, Abdellah Lakhssassi, Toqi Tahamid Sarker +3
Quantifying exhaled CO2 from free-roaming cattle is both a direct indicator of rumen metabolic state and a prerequisite for farm-scale carbon accounting, yet no existing system can…
FUME: Fused Unified Multi-Gas Emission Network for Livestock Rumen Acidosis Detection
Taminul Islam, Toqi Tahamid Sarker, Mohamed Embaby +2
Ruminal acidosis is a prevalent metabolic disorder in dairy cattle causing significant economic losses and animal welfare concerns. Current diagnostic methods rely on invasive pH m…
WeedRepFormer: Reparameterizable Vision Transformers for Real-Time Waterhemp Segmentation and Gender Classification
Toqi Tahamid Sarker, Taminul Islam, Khaled R. Ahmed +3
We present WeedRepFormer, a lightweight multi-task Vision Transformer designed for simultaneous waterhemp segmentation and gender classification. Existing agricultural models often…
GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas Imaging
Toqi Tahamid Sarker, Mohamed Embaby, Taminul Islam +2
Livestock methane emissions represent 32% of human-caused methane production, making automated monitoring critical for climate mitigation strategies. We introduce GasTwinFormer, a…
WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification
Toqi Tahamid Sarker, Khaled R Ahmed, Taminul Islam +2
Weed management represents a critical challenge in agriculture, significantly impacting crop yields and requiring substantial resources for control. Effective weed monitoring and a…