Amith Khandakar
Orcid: 0000-0001-7068-9112
According to our database1,
Amith Khandakar
authored at least 94 papers
between 2014 and 2025.
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Bibliography
2025
An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability.
Knowl. Based Syst., 2025
2024
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning.
Cogn. Comput., July, 2024
Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization.
Cogn. Comput., May, 2024
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images.
Cogn. Comput., May, 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 framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP).
Expert Syst. Appl., 2024
Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring.
Expert Syst. Appl., 2024
Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning.
Expert Syst. Appl., 2024
Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI.
Expert Syst. Appl., 2024
Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN.
Eng. Appl. Artif. Intell., 2024
Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review.
CoRR, 2024
Smart aquaponics: An innovative machine learning framework for fish farming optimization.
Comput. Electr. Eng., 2024
Comput. Electr. Eng., 2024
Novel multimodal emotion detection method using Electroencephalogram and Electrocardiogram signals.
Biomed. Signal Process. Control., 2024
LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams.
Biomed. Signal Process. Control., 2024
Data-Assisted Radio Resource Allocation in Shared Spectrum Multi-RAT Heterogeneous Network.
IEEE Access, 2024
A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification.
IEEE Access, 2024
ExoventQ: A Novel Low-Cost Portable Negative Pressure Ventilator Design and Implementation.
IEEE Access, 2024
IEEE Access, 2024
Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI.
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
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals.
Biomed. Signal Process. Control., March, 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
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
Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture.
IEEE Access, 2023
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
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network.
Health Inf. Sci. Syst., 2022
Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature.
CoRR, 2022
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images.
Cogn. Comput., 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
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data.
Comput. Biol. Medicine, 2022
Field-Oriented Control of Five-Phase Induction Motor Fed From Space Vector Modulated Matrix Converter.
IEEE Access, 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
2021
Sensors, 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
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 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 Transparent and Privacy-Preserving Healthcare Platform With Novel Smart Contract for Smart Cities.
IEEE Access, 2021
Proceedings of the 14th International Conference on Developments in eSystems Engineering, 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
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
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray.
CoRR, 2020
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization.
IEEE Access, 2020
Proceedings of the IEEE International Conference on Informatics, 2020
2019
Understanding Probabilistic Cognitive Relaying Communication with Experimental Implementation and Performance Analysis.
Sensors, 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
Proceedings of the Ubiquitous Networking - 4th International Symposium, 2018
2014
Proceedings of the Fourth International Conference on Digital Information and Communication Technology and its Applicationsm DICTAP 2014, 2014