Publications

Mask-Guided Multi-Task Learning: Real-Time RGB Prediction of Plant Photosynthetic Efficiency at the Edge

WeedRepFormer: Reparameterizable Vision Transformers for Real-Time Waterhemp Segmentation and Gender Classification

TRACE: Thermal Recognition Attentive-Framework for CO2 Emissions from Livestock

FryNet: Dual-Stream Adversarial Fusion for Non-Destructive Frying Oil Oxidation AssessmentOral

FUME: Fused Unified Multi-Gas Emission Network for Livestock Rumen Acidosis DetectionOral

ArmFormer: Lightweight Transformer Architecture for Real-Time Multi-Class Weapon Segmentation and ClassificationOral

CarboFormer: A Lightweight Semantic Segmentation Architecture for Efficient Carbon Dioxide Detection Using Optical Gas ImagingOral

GasTwinFormer: A Hybrid Vision Transformer for Livestock Methane Emission Segmentation and Dietary Classification in Optical Gas ImagingOral

WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification

WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification

Carbon Emission Quantification of Machine Learning: A Review

WeedVision: Multi-Stage Growth and Classification of Weeds using DETR and RetinaNet for Precision AgricultureOral

Detection and Classification of Cannabis Seeds Using RetinaNet and Faster R-CNN

Improving Hepatitis C Diagnosis Using Machine Learning Techniques

Enhancing Bangla Fake News Detection Using Bidirectional Gated Recurrent Units and Deep Learning Techniques

Predictive modeling for breast cancer classification in the context of Bangladeshi patients by use of machine learning approach with explainable AI

Cannabis Seed Variant Detection Using Faster R-CNN

Machine Learning Approach Analysis for Early-Stage Liver Disease Prediction

Early-Stage Diabetes Risk Prediction Using Supervised Machine Learning Algorithms

Disaster Related Tweets Analysis with Machine Learning Approaches

Lexicon and Deep Learning-Based Approaches in Sentiment Analysis on Short Texts

Heart Disease Risk Assessment and Prediction: A Robust Ensemble Approach with Extra Tree Classifier

A Review of Cyber Attacks on Sensors and Perception Systems in Autonomous Vehicle

PotatoPestNet: A CTInceptionV3-RS-based neural network for accurate identification of potato pests

Child and Maternal Mortality Risk Factor Analysis Using Machine Learning Approaches

Cardiovascular Disease Prediction Using Machine Learning Approaches

Review Analysis of Ride-Sharing Applications Using ML: Bangladesh Perspective

Optimizing brain tumor classification through feature selection and hyperparameter tuning in ML models

Analysis of Arrhythmia Classification on ECG Dataset

Convolutional Neural Network Based Partial Face Detection

A Proposed Bi-LSTM Method to Fake News Detection

Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective