6 citations · 7 across the 11 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
WeedVision: Multi-Stage Growth and Classification of Weeds using DETR and RetinaNet for Precision Agriculture
Taminul Islam, Toqi Tahamid Sarker, Khaled R Ahmed +2
Weed management remains a critical challenge in agriculture, where weeds compete with crops for essential resources, leading to significant yield losses. Accurate detection of weed…
Gasformer: A Transformer-based Architecture for Segmenting Methane Emissions from Livestock in Optical Gas Imaging
Toqi Tahamid Sarker, Mohamed G Embaby, Khaled R Ahmed +1
Methane emissions from livestock, particularly cattle, significantly contribute to climate change. Effective methane emission mitigation strategies are crucial as the global popula…
Cannabis Seed Variant Detection using Faster R-CNN
Toqi Tahamid Sarker, Taminul Islam, Khaled R Ahmed
Analyzing and detecting cannabis seed variants is crucial for the agriculture industry. It enables precision breeding, allowing cultivators to selectively enhance desirable traits.…