9 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…
ArmFormer: Lightweight Transformer Architecture for Real-Time Multi-Class Weapon Segmentation and Classification
Akhila Kambhatla, Taminul Islam, Khaled R Ahmed
The escalating threat of weapon-related violence necessitates automated detection systems capable of pixel-level precision for accurate threat assessment in real-time security appl…
CarboFormer: A Lightweight Semantic Segmentation Architecture for Efficient Carbon Dioxide Detection Using Optical Gas Imaging
Taminul Islam, Toqi Tahamid Sarker, Mohamed G Embaby +2
Carbon dioxide (CO) emissions are critical indicators of both environmental impact and various industrial processes, including livestock management. We introduce CarboFormer, a…