30 citations · 55 across the 17 of their papers we have counts for
17 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…
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…
Predictive Modeling for Breast Cancer Classification in the Context of Bangladeshi Patients: A Supervised Machine Learning Approach with Explainable AI
Taminul Islam, Md. Alif Sheakh, Mst. Sazia Tahosin +6
Breast cancer has rapidly increased in prevalence in recent years, making it one of the leading causes of mortality worldwide. Among all cancers, it is by far the most common. Diag…
Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques
Utsha Roy, Mst. Sazia Tahosin, Md. Mahedi Hassan +6
The rise of fake news has made the need for effective detection methods, including in languages other than English, increasingly important. The study aims to address the challenges…
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.…
Machine Learning Approach on Multiclass Classification of Internet Firewall Log Files
Md Habibur Rahman, Taminul Islam, Md Masum Rana +3
Firewalls are critical components in securing communication networks by screening all incoming (and occasionally exiting) data packets. Filtering is carried out by comparing incomi…
Analysis of Arrhythmia Classification on ECG Dataset
Taminul Islam, Arindom Kundu, Tanzim Ahmed +1
The heart is one of the most vital organs in the human body. It supplies blood and nutrients in other parts of the body. Therefore, maintaining a healthy heart is essential. As a h…
Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective
Taminul Islam, Arindom Kundu, Nazmul Islam Khan +3
Nowadays, Breast cancer has risen to become one of the most prominent causes of death in recent years. Among all malignancies, this is the most frequent and the major cause of deat…
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…
A Proposed Bi-LSTM Method to Fake News Detection
Taminul Islam, MD Alamin Hosen, Akhi Mony +3
Recent years have seen an explosion in social media usage, allowing people to connect with others. Since the appearance of platforms such as Facebook and Twitter, such platforms in…