30 citations · 55 across the 17 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…
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.…
Convolutional Neural Network Based Partial Face Detection
Md. Towfiqul Islam, Tanzim Ahmed, A. B. M. Raihanur Rashid +3
Due to the massive explanation of artificial intelligence, machine learning technology is being used in various areas of our day-to-day life. In the world, there are a lot of scena…