2k citations · 4k across the 35 of their papers we have counts for
35 papers
Alignment-Aware and Reliability-Gated Multimodal Fusion for Unmanned Aerial Vehicle Detection Across Heterogeneous Thermal-Visual Sensors
Ishrat Jahan, Molla E Majid, M Murugappan +5
Reliable unmanned aerial vehicle (UAV) detection is critical for autonomous airspace monitoring but remains challenging when integrating sensor streams that differ substantially in…
AIS-CycleGen: A CycleGAN-Based Framework for High-Fidelity Synthetic AIS Data Generation and Augmentation
SM Ashfaq uz Zaman, Faizan Qamar, Masnizah Mohd +2
Automatic Identification System (AIS) data are vital for maritime domain awareness, yet they often suffer from domain shifts, data sparsity, and class imbalance, which hinder the p…
AnatomicalNets: A Multi-Structure Segmentation and Contour-Based Distance Estimation Pipeline for Clinically Grounded Lung Cancer T-Staging
Saniah Kayenat Chowdhury, Rusab Sarmun, Muhammad E. H. Chowdhury +4
Accurate tumor staging in lung cancer is crucial for prognosis and treatment planning and is governed by explicit anatomical criteria under fixed guidelines. However, most existing…
CASR-Net: An Image Processing-focused Deep Learning-based Coronary Artery Segmentation and Refinement Network for X-ray Coronary Angiogram
Alvee Hassan, Rusab Sarmun, Muhammad E. H. Chowdhury +4
Early detection of coronary artery disease (CAD) is critical for reducing mortality and improving patient treatment planning. While angiographic image analysis from X-rays is a com…
Automated Landfill Detection Using Deep Learning: A Comparative Study of Lightweight and Custom Architectures with the AerialWaste Dataset
Nowshin Sharmily, Rusab Sarmun, Muhammad E. H. Chowdhury +4
Illegal landfills are posing as a hazardous threat to people all over the world. Due to the arduous nature of manually identifying the location of landfill, many landfills go unnot…
CardioTabNet: A Novel Hybrid Transformer Model for Heart Disease Prediction using Tabular Medical Data
Md. Shaheenur Islam Sumon, Md. Sakib Bin Islam, Md. Sohanur Rahman +5
The early detection and prediction of cardiovascular diseases are crucial for reducing the severe morbidity and mortality associated with these conditions worldwide. A multi-headed…
Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review
Amith Khandakar, David G. Michelson, Mansura Naznine +7
Severe collisions can result from aggressive driving and poor road conditions, emphasizing the need for effective monitoring to ensure safety. Smartphones, with their array of buil…
Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection
Abdulla Al-Subaiey, Mohammed Al-Thani, Naser Abdullah Alam +3
Phishing emails continue to pose a significant threat, causing financial losses and security breaches. This study addresses limitations in existing research, such as reliance on pr…
Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature
Sakib Mahmud, Amith Khandakar, Muhammad E. H. Chowdhury +6
Various foot complications can be easily avoided by continuous monitoring of foot plantar temperature and pressure. In this work, the design, characterization, and implementation o…
Design and Implementation of a Complete Wearable Smart Insole Solution to Measure Plantar Pressure and Temperature
Amith Khandakar, Sakib Mahmud, Muhammad E. H. Chowdhury +7
A complete smart insole solution that continuously monitors the foot plantar pressure and temperature can detect foot complications early and that too from the convenience of the u…
BIO-CXRNET: A Robust Multimodal Stacking Machine Learning Technique for Mortality Risk Prediction of COVID-19 Patients using Chest X-Ray Images and Clinical Data
Tawsifur Rahman, Muhammad E. H. Chowdhury, Amith Khandakar +10
Fast and accurate detection of the disease can significantly help in reducing the strain on the healthcare facility of any country to reduce the mortality during any pandemic. The…
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis
Md Shafayet Hossain, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz +7
The electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) signals, highly non-stationary in nature, greatly suffers from motion artifacts while recorded usin…
Blind ECG Restoration by Operational Cycle-GANs
Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince +8
Continuous long-term monitoring of electrocardiography (ECG) signals is crucial for the early detection of cardiac abnormalities such as arrhythmia. Non-clinical ECG recordings acq…
RamanNet: A generalized neural network architecture for Raman Spectrum Analysis
Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Khandakar +3
Raman spectroscopy provides a vibrational profile of the molecules and thus can be used to uniquely identify different kind of materials. This sort of fingerprinting molecules has…
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar +7
Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous Blood Pressure (BP) monitoring along with many…
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
Moncef Gabbouj, Serkan Kiranyaz, Junaid Malik +5
Although numerous R-peak detectors have been proposed in the literature, their robustness and performance levels may significantly deteriorate in low-quality and noisy signals acqu…
Case study of Innovative Teaching Practices and their Impact for Electrical Engineering Courses during COVID-19 Pandemic
Amith Khandakar, Muhammad E. H. Chowdhury, Md. Saifuddin Khalid +1
Due to the COVID-19 pandemic, there was an urgent need to move to online teaching and develop innovations to guarantee the Student Learning Outcomes (SLOs) are being fulfilled. The…
A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images
Amith Khandakar, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz +7
Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The prevention of DFU may be achieved by the identification of patients at risk of DFU and the i…
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
Tawsifur Rahman, Alex Akinbi, Muhammad E. H. Chowdhury +5
The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health…
COVID-19 Infection Localization and Severity Grading from Chest X-ray Images
Anas M. Tahir, Muhammad E. H. Chowdhury, Amith Khandakar +11
Coronavirus disease 2019 (COVID-19) has been the main agenda of the whole world, since it came into sight in December 2019 as it has significantly affected the world economy and he…
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
Arafat Rahman, Muhammad E. H. Chowdhury, Amith Khandakar +5
With the rapid advancement of technology, different biometric user authentication, and identification systems are emerging. Traditional biometric systems like face, fingerprint, an…
A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model
Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury +4
Respiratory ailments such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, and lung cancer are life-threatening. Respiration rate (RR) is a vital indicator of th…
Detection and severity classification of COVID-19 in CT images using deep learning
Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury +7
Since the breakout of coronavirus disease (COVID-19), the computer-aided diagnosis has become a necessity to prevent the spread of the virus. Detecting COVID-19 at an early stage i…
EDITH :ECG biometrics aided by Deep learning for reliable Individual auTHentication
Nabil Ibtehaz, Muhammad E. H. Chowdhury, Amith Khandakar +5
In recent years, physiological signal based authentication has shown great promises,for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most wide…