Muhammad E. H. Chowdhury
Orcid: 0000-0003-0744-8206
According to our database1,
Muhammad E. H. Chowdhury
authored at least 116 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer.
Expert Syst. Appl., March, 2024
FPGA Implementation of Complex-Valued Neural Network for Polar-Represented Image Classification.
Sensors, February, 2024
Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics.
Neural Comput. Appl., January, 2024
Enhance data availability and network consistency using artificial neural network for IoT.
Multim. Tools Appl., January, 2024
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN.
Expert Syst. Appl., January, 2024
Advanced Artificial Intelligence Algorithms in Cochlear Implants: Review of Healthcare Strategies, Challenges, and Perspectives.
CoRR, 2024
M2ECG: Wearable Mechanocardiograms to Electrocardiogram Estimation Using Deep Learning.
IEEE Access, 2024
Enhancing Bearing Fault Diagnosis Using Transfer Learning and Random Forest Classification: A Comparative Study on Variable Working Conditions.
IEEE Access, 2024
Surround-Screen Mobile Based Projection: Design and Implementation of Mobile Cave Virtual Reality.
IEEE Access, 2024
A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification.
IEEE Access, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Sensors, November, 2023
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques.
Sensors, September, 2023
Neural Comput. Appl., September, 2023
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern.
Appl. Intell., September, 2023
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model.
Sensors, August, 2023
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.
Neural Comput. Appl., August, 2023
Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound.
Biomed. Signal Process. Control., August, 2023
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network.
Neural Comput. Appl., April, 2023
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals.
Biomed. Signal Process. Control., March, 2023
A Flexible Capacitive Electromyography Biomedical Sensor for Wearable Healthcare Applications.
IEEE Trans. Instrum. Meas., 2023
A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning.
Sensors, 2023
Eng. Appl. Artif. Intell., 2023
PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection.
Eng. Appl. Artif. Intell., 2023
Deep Learning in Computed Tomography Pulmonary Angiography Imaging: A Dual-Pronged Approach for Pulmonary Embolism Detection.
CoRR, 2023
AI-Driven Personalised Offloading Device Prescriptions: A Cutting-Edge Approach to Preventing Diabetes-Related Plantar Forefoot Ulcers and Complications.
CoRR, 2023
NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals.
Biomed. Signal Process. Control., 2023
Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models From Fetal Echocardiogram: A Pilot Study.
IEEE Access, 2023
Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture.
IEEE Access, 2023
A Novel Approach to Monitor Head Movement Inside an MR Scanner Using Voltages Induced in Coils by Time-Varying Gradients.
IEEE Access, 2023
EOG-Based Reading Detection in the Wild Using Spectrograms and Nested Classification Approach.
IEEE Access, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication.
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network.
IEEE Trans. Biomed. Eng., 2022
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model.
Sensors, 2022
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.
Sensors, 2022
Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature.
Sensors, 2022
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images.
Sensors, 2022
Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques.
Sensors, 2022
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis.
Sensors, 2022
Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait.
Sensors, 2022
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning.
Sensors, 2022
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network.
Health Inf. Sci. Syst., 2022
Frontiers Artif. Intell., 2022
Deep Learning based Automatic Quantification of Urethral Plate Quality using the Plate Objective Scoring Tool (POST).
CoRR, 2022
Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature.
CoRR, 2022
Evaluating Performance of Machine Learning Models for Diabetic Sensorimotor Polyneuropathy Severity Classification using Biomechanical Signals during Gait.
CoRR, 2022
A machine learning-based severity prediction tool for diabetic sensorimotor polyneuropathy using Michigan neuropathy screening instrumentations.
CoRR, 2022
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images.
Cogn. Comput., 2022
Comput. Biol. Medicine, 2022
QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model.
Comput. Biol. Medicine, 2022
Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning.
Comput. Biol. Medicine, 2022
A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices.
Comput. Biol. Medicine, 2022
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data.
Comput. Biol. Medicine, 2022
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images.
IEEE Access, 2022
Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis.
IEEE Access, 2022
Osegnet: Operational Segmentation Network for Covid-19 Detection Using Chest X-Ray Images.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Sensors, 2021
Health Inf. Sci. Syst., 2021
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.
CoRR, 2021
Case study of Innovative Teaching Practices and their Impact for Electrical Engineering Courses during COVID-19 Pandemic.
CoRR, 2021
QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds.
CoRR, 2021
CoRR, 2021
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms.
CoRR, 2021
A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model.
CoRR, 2021
CoRR, 2021
Comput. Biol. Medicine, 2021
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images.
Comput. Biol. Medicine, 2021
A machine learning model for early detection of diabetic foot using thermogram images.
Comput. Biol. Medicine, 2021
A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations.
Comput. Biol. Medicine, 2021
A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model.
IEEE Access, 2021
Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters.
IEEE Access, 2021
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms.
IEEE Access, 2021
A Portable Electromagnetic Head Imaging System Using Metamaterial Loaded Compact Directional 3D Antenna.
IEEE Access, 2021
A YOLOv3 Deep Neural Network Model to Detect Brain Tumor in Portable Electromagnetic Imaging System.
IEEE Access, 2021
IEEE Access, 2021
Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System.
IEEE Access, 2021
IEEE Access, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
A Systematic Approach to the Design and Characterization of a Smart Insole for Detecting Vertical Ground Reaction Force (vGRF) in Gait Analysis.
Sensors, 2020
Sensors, 2020
Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques.
Sensors, 2020
Design, Construction and Testing of IoT Based Automated Indoor Vertical Hydroponics Farming Test-Bed in Qatar.
Sensors, 2020
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning.
CoRR, 2020
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images.
CoRR, 2020
An early warning tool for predicting mortality risk of COVID-19 patients using machine learning.
CoRR, 2020
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization.
CoRR, 2020
A Case Study to Identify the Hindrances to Widespread Adoption of Electric Vehicles in Qatar.
CoRR, 2020
CoRR, 2020
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray.
CoRR, 2020
Comput. Math. Methods Medicine, 2020
An Internet of Things Based Smart Waste Management System Using LoRa and Tensorflow Deep Learning Model.
IEEE Access, 2020
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization.
IEEE Access, 2020
A Grounded Coplanar Waveguide-Based Slotted Inverted Delta-Shaped Wideband Antenna for Microwave Head Imaging.
IEEE Access, 2020
Modified-Segmented Split-Ring Based Polarization and Angle-Insensitive Multi-Band Metamaterial Absorber for X, Ku and K Band Applications.
IEEE Access, 2020
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
Proceedings of the IEEE International Conference on Informatics, 2020
2019
Portable System for Monitoring and Controlling Driver Behavior and the Use of a Mobile Phone While Driving.
Sensors, 2019
Sensors, 2019
Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents.
Sensors, 2019
Corrigendum to "A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm".
J. Sensors, 2019
J. Sensors, 2019
IEEE Access, 2019
2018
Exploring the origins of EEG motion artefacts during simultaneous fMRI acquisition: Implications for motion artefact correction.
NeuroImage, 2018
2015
Proceedings of the International Conference on Networking Systems and Security, 2015
2014
Corrigendum to "Reference layer artefact subtraction (RLAS): A novel method of minimizing EEG artefacts during simultaneous fMRI" [Neuroimage 84 (2014) 307-319].
NeuroImage, 2014
Reference layer artefact subtraction (RLAS): A novel method of minimizing EEG artefacts during simultaneous fMRI.
NeuroImage, 2014