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ORCIDAmith Khandakar
Amith Abdullah Khandakar
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2020 – today
- 2025
[j78]Mamun Or Rashid, Md. Mosarrof Hossen
, Mohammad Nashbat, Mazhar Hasan-Zia, Ali K. Ansaruddin Kunju, Amith Khandakar, Azad Ashraf, Molla E. Majid, Saad Bin Abul Kashem, Muhammad E. H. Chowdhury:
Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection. IEEE Access 13: 42322-42335 (2025)- [j77]Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, Mohamed Arselene Ayari, Amith Khandakar:
Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI. Comput. Biol. Medicine 185: 109503 (2025) - [j76]Amith Khandakar, Azad Ibn Ashraf, Mohamed Arselene Ayari, Amin Esmaeili, Mohannad Aljarrah, Philips Michael, Md. Nahiduzzaman, Hafsa Binte Kibria, Vasiliki Maria Gerokosta, Abdul Ahad Shehbaz, Maryam Abdulla R. A Al-Mansoori, Farah Khattab:
Compost maturity prediction and gas emissions monitoring: A sensor-based and interpretable machine learning approach. Comput. Electr. Eng. 123: 110115 (2025) - [j75]Md. Nahiduzzaman, Md. Faysal Ahamed, Mansura Naznine, Md. Jawadul Karim, Hafsa Binte Kibria, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider:
An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability. Knowl. Based Syst. 310: 113028 (2025) - [i29]Md. Shaheenur Islam Sumon, Md. Sakib Bin Islam, Md. Sohanur Rahman, Md Sakib Abrar Hossain, Amith Khandakar, Anwarul Hasan, M. Murugappan, Muhammad E. H. Chowdhury:
CardioTabNet: A Novel Hybrid Transformer Model for Heart Disease Prediction using Tabular Medical Data. CoRR abs/2503.17664 (2025) - 2024
- [j74]Md. Mosarrof Hossen, Molla E. Majid, Saad Bin Abul Kashem, Amith Khandakar, Mohammad Nashbat, Azad Ashraf, Mazhar Hasan-Zia, Ali K. Ansaruddin Kunju, Saidul Kabir, Muhammad E. H. Chowdhury:
A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification. IEEE Access 12: 13809-13821 (2024) - [j73]Shahd Sameer Mohammed Gaben, Nada Abughanam, Nabil Ibtehaz, Sakib Mahmud, Ghada Al Noaimi, Abdulrahman Alqahtani, Amith Khandakar, Muhammad E. H. Chowdhury:
ExoventQ: A Novel Low-Cost Portable Negative Pressure Ventilator Design and Implementation. IEEE Access 12: 61828-61847 (2024) - [j72]Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Md. Jawadul Karim, Mohamed Arselene Ayari, Amith Khandakar:
Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI. IEEE Access 12: 78074-78100 (2024) - [j71]Salman Saadat, Sami Ahmed Haider, Waleed Ejaz, Amith Khandakar:
Data-Assisted Radio Resource Allocation in Shared Spectrum Multi-RAT Heterogeneous Network. IEEE Access 12: 171087-171098 (2024) - [j70]Proma Dutta, Kanchon Kanti Podder, Md. Shaheenur Islam Sumon, Muhammad E. H. Chowdhury, Amith Khandakar, Nasser Al-Emadi, Moajjem Hossain Chowdhury, M. Murugappan, Mohamed Arselene Ayari, Sakib Mahmud, S. M. Muyeen:
GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults. IEEE Access 12: 188755-188765 (2024) - [j69]Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Seyed Mehdi Rakhtala, M. Murugappan, Sakib Mahmud, Md Nazmul Islam Shuzan, Ahmad Ashrif A. Bakar, Mohd Ibrahim Bin Shapiai, Muhammad Salman Khan, Amith Khandakar:
LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams. Biomed. Signal Process. Control. 89: 105687 (2024) - [j68]Purnata Saha, Ali K. Ansaruddin Kunju, Molla E. Majid, Saad Bin Abul Kashem, Mohammad Nashbat, Azad Ashraf, Mazhar Hasan-Zia, Amith Khandakar, Md. Shafayet Hossain, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury:
Novel multimodal emotion detection method using Electroencephalogram and Electrocardiogram signals. Biomed. Signal Process. Control. 92: 106002 (2024) - [j67]Amith Khandakar, I. M. Elzein, Md. Nahiduzzaman, Mohamed Arselene Ayari, Azad Ibn Ashraf, Lino Korah, Alhareth Zyoud, Hassan Ali, Ahmed Badawi:
Smart aquaponics: An innovative machine learning framework for fish farming optimization. Comput. Electr. Eng. 119: 109590 (2024) - [j66]Abdulla Al-Subaiey, Mohammed Al-Thani, Naser Abdullah Alam, Kaniz Fatema Antora, Amith Khandakar, SM Ashfaq Uz Zaman:
Novel interpretable and robust web-based AI platform for phishing email detection. Comput. Electr. Eng. 120: 109625 (2024) - [j65]Tawsifur Rahman, Amith Khandakar, Ashiqur Rahman, Susu M. Zughaier, Muna Al Maslamani, Moajjem Hossain Chowdhury, Anas M. Tahir, Md Sakib Abrar Hossain, Muhammad E. H. Chowdhury:
TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images. Cogn. Comput. 16(3): 1393-1412 (2024) - [j64]Rusab Sarmun, Muhammad E. H. Chowdhury, M. Murugappan, Ahmed Aqel, Maymouna Ezzuddin, Syed Mahfuzur Rahman, Amith Khandakar, Sanzida Akter, Rashad Alfkey, Anwarul Hasan:
Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization. Cogn. Comput. 16(3): 1413-1431 (2024) - [j63]Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam:
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning. Cogn. Comput. 16(4): 1778-1793 (2024) - [j62]Sakib Mahmud, Muhammad E. H. Chowdhury, Serkan Kiranyaz, Nasser Al-Emadi, Anas M. Tahir, Md. Shafayet Hossain, Amith Khandakar, Somaya Al-Máadeed:
Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN. Eng. Appl. Artif. Intell. 128: 107514 (2024) - [j61]Sakib Mahmud, Muhammad E. H. Chowdhury, Serkan Kiranyaz, Malisha Islam Tapotee, Purnata Saha, Anas M. Tahir, Amith Khandakar, Abdulrahman Alqahtani:
Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring. Expert Syst. Appl. 246: 123167 (2024) - [j60]Md. Nahiduzzaman, Lway Faisal Abdulrazak, Mohamed Arselene Ayari, Amith Khandakar, S. M. Riazul Islam:
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. 248: 123392 (2024) - [j59]Sakib Mahmud, Tariq O. Abbas, Muhammad E. H. Chowdhury, Adam Mushtak, Saidul Kabir, Sreekumar Muthiyal, Alaa Koko, Ahmed Balla Abdalla Altyeb, Abdulrahman Alqahtani, Amith Khandakar, Sheikh Mohammed Shariful Islam:
Automated grading of prenatal hydronephrosis severity from segmented kidney ultrasounds using deep learning. Expert Syst. Appl. 255: 124594 (2024) - [j58]Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, Mansura Naznine, Mohamed Arselene Ayari, Amith Khandakar, Julfikar Haider:
Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI. Expert Syst. Appl. 256: 124908 (2024) - [j57]Mujahid Tabassum, Sundresan Perumal, Saad Bin Abul Kashem, Ponnan Suresh, Chinmay Chakraborty, Muhammad E. H. Chowdhury, Amith Khandakar:
Enhance data availability and network consistency using artificial neural network for IoT. Multim. Tools Appl. 83(1): 3111-3131 (2024) - [j56]Md. Ahasan Atick Faisal, Sakib Mahmud, Muhammad E. H. Chowdhury, Amith Khandakar, Mosabber Uddin Ahmed, Abdulrahman Alqahtani, Mohammed Alhatou:
Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics. Neural Comput. Appl. 36(3): 1105-1121 (2024) - [i28]Abdulla Al-Subaiey, Mohammed Al-Thani, Naser Abdullah Alam, Kaniz Fatema Antora, Amith Khandakar, SM Ashfaq Uz Zaman:
Novel Interpretable and Robust Web-based AI Platform for Phishing Email Detection. CoRR abs/2405.11619 (2024) - [i27]Amith Khandakar, David G. Michelson, Mansura Naznine, Abdus Salam, Md. Nahiduzzaman, Khaled M. Khan, Ponnuthurai Nagaratnam Suganthan, Mohamed Arselene Ayari, Hamid Menouar, Julfikar Haider:
Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review. CoRR abs/2411.07315 (2024) - 2023
- [j55]Hasibul Islam Peyal, Md. Nahiduzzaman, Md. Abu Hanif Pramanik, Md. Khalid Syfullah, Saleh Mohammed Shahriar, Abida Sultana, Mominul Ahsan, Julfikar Haider, Amith Khandakar, Muhammad E. H. Chowdhury:
Plant Disease Classifier: Detection of Dual-Crop Diseases Using Lightweight 2D CNN Architecture. IEEE Access 11: 110627-110643 (2023) - [j54]Md. Ahasan Atick Faisal, Muhammad Enamul Hoque Chowdhury, Zaid Bin Mahbub, Shona Pedersen, Mosabber Uddin Ahmed, Amith Khandakar, Mohammed Alhatou, Mohammad Nabil, Iffat Ara, Enamul Haque Bhuiyan, Sakib Mahmud, Mohammed AbdulMoniem:
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern. Appl. Intell. 53(17): 20034-20046 (2023) - [j53]Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, M. Sohel Rahman, Antonio JR. Gonzales, Tawsifur Rahman, Md. Shafayet Hossain, Md Sakib Abrar Hossain, Md. Ahasan Atick Faisal, Farhan Fuad Abir, Farayi Musharavati, Muhammad Enamul Hoque Chowdhury:
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. 79(Part): 104247 (2023) - [j52]Md Nazmul Islam Shuzan, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Amith Khandakar, Farhan Fuad Abir, Md. Ahasan Atick Faisal, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Moajjem Hossain Chowdhury, Zaid Bin Mahbub, Mohammad Monir Uddin, Mohammed Alhatou:
Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals. Biomed. Signal Process. Control. 81: 104448 (2023) - [j51]Kanchon Kanti Podder, Muhammad Enamul Hoque Chowdhury, Sumaya Almaadeed, Naima Nasrin Nisha, Sakib Mahmud, Fatema Hamadelneil, Taif Almkhlef, Hind Aljofairi, Adam Mushtak, Amith Khandakar, Susu M. Zughaier:
Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound. Biomed. Signal Process. Control. 85: 104882 (2023) - [j50]Farhan Fuad Abir, Muhammad E. H. Chowdhury, Malisha Islam Tapotee, Adam Mushtak, Amith Khandakar, Sakib Mahmud, Anwarul Hasan:
PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection. Eng. Appl. Artif. Intell. 122: 106130 (2023) - [j49]Arafat Rahman, Sakib Mahmud, Muhammad E. H. Chowdhury, Huseyin Cagatay Yalcin, Amith Khandakar, Onur Mutlu, Zaid Bin Mahbub, Reema Youssef Kamal, Shona Pedersen:
Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model. Eng. Appl. Artif. Intell. 123(Part C): 106414 (2023) - [j48]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam, Saad Bin Abul Kashem, Muhammad Salman Khan, Susu M. Zughaier, Muhammad Maqsud Hossain:
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. 35(24): 17461-17483 (2023) - [j47]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Susu M. Zughaier:
RamanNet: a generalized neural network architecture for Raman spectrum analysis. Neural Comput. Appl. 35(25): 18719-18735 (2023) - [j46]Abida Sultana, Md. Nahiduzzaman, Sagor Chandro Bakchy, Saleh Mohammed Shahriar, Hasibul Islam Peyal, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Mohamed Arselene Ayari, Mominul Ahsan, Julfikar Haider:
A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning. Sensors 23(9): 4458 (2023) - [j45]Kanchon Kanti Podder, Maymouna Ezeddin, Muhammad E. H. Chowdhury, Md. Shaheenur Islam Sumon, Anas M. Tahir, Mohamed Arselene Ayari, Proma Dutta, Amith Khandakar, Zaid Bin Mahbub, Muhammad Abdul Kadir:
Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model. Sensors 23(16): 7156 (2023) - [j44]Md. Faysal Ahamed, Md. Khalid Syfullah, Ovi Sarkar, Md. Tohidul Islam, Md. Nahiduzzaman, Md. Rabiul Islam, Amith Khandakar, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury:
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. Sensors 23(18): 7724 (2023) - [j43]Md Sakib Abrar Hossain, Sidra Gul, Muhammad E. H. Chowdhury, Muhammad Salman Khan, Md. Shaheenur Islam Sumon, Enamul Haque Bhuiyan, Amith Khandakar, Muhammad Maqsud Hossain, Abdus Sadique, Israa Al-Hashimi, Mohamed Arselene Ayari, Sakib Mahmud, Abdulrahman Alqahtani:
Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images. Sensors 23(21): 8890 (2023) - [j42]Moncef Gabbouj, Serkan Kiranyaz, Junaid Malik, Muhammad Uzair Zahid, Turker Ince, Muhammad E. H. Chowdhury, Amith Khandakar, Anas Tahir:
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9363-9374 (2023) - 2022
- [j41]Khaliqur Rahman, Syed Rahman, Mahajan Sagar Bhaskar, Atif Iqbal, Amith Khandakar, Mohd Tariq, Basem Alamri:
Field-Oriented Control of Five-Phase Induction Motor Fed From Space Vector Modulated Matrix Converter. IEEE Access 10: 17996-18007 (2022) - [j40]Md. Shafayet Hossain, Mamun Bin Ibne Reaz, Muhammad Enamul Hoque Chowdhury, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Serkan Kiranyaz, Amith Khandakar, Mohammed Alhatou, Rumana Habib:
Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis. IEEE Access 10: 29760-29777 (2022) - [j39]Tawsifur Rahman, Amith Khandakar, Khandaker Reajul Islam, Md Mohiuddin Soliman, Mohammad Tariqul Islam, Ahmed Elsayed, Yazan Qiblawey, Sakib Mahmud, Ashiqur Rahman, Farayi Musharavati, Erfan Zalnezhad, Muhammad Enamul Hoque Chowdhury:
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images. IEEE Access 10: 53359-53373 (2022) - [j38]Md. Ahasan Atick Faisal, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Md. Shafayet Hossain, Mohammed Alhatou, Sakib Mahmud, Iffat Ara, Shah Imran Sheikh, Mosabber Uddin Ahmed:
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning. Comput. Biol. Medicine 142: 105184 (2022) - [j37]Arafat Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Anas M. Tahir, Nabil Ibtehaz, Md. Shafayet Hossain, Serkan Kiranyaz, Junaid Malik, Haya Monawwar, Muhammad Abdul Kadir:
Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs. Comput. Biol. Medicine 142: 105238 (2022) - [j36]Tawsifur Rahman, Amith Khandakar, Farhan Fuad Abir, Md. Ahasan Atick Faisal, Md. Shafayet Hossain, Kanchon Kanti Podder, Tariq O. Abbas, Mohammed Fasihul Alam, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Susu M. Zughaier, Muhammad Enamul Hoque Chowdhury:
QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model. Comput. Biol. Medicine 143: 105284 (2022) - [j35]Sidra Gul, Muhammad Salman Khan, Asima Bibi, Amith Khandakar, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury:
Deep learning techniques for liver and liver tumor segmentation: A review. Comput. Biol. Medicine 147: 105620 (2022) - [j34]Farhan Fuad Abir, Khalid Alyafei, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Rashid Ahmed, Muhammad Maqsud Hossain, Sakib Mahmud, Ashiqur Rahman, Tareq O. Abbas, Susu M. Zughaier, Khalid Kamal Naji:
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data. Comput. Biol. Medicine 147: 105682 (2022) - [j33]Anas M. Tahir, Yazan Qiblawey, Amith Khandakar, Tawsifur Rahman, Uzair Khurshid, Farayi Musharavati, Mohammad Tariqul Islam, Serkan Kiranyaz, Somaya Al-Máadeed, Muhammad Enamul Hoque Chowdhury:
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images. Cogn. Comput. 14(5): 1752-1772 (2022) - [j32]Tawsifur Rahman, Alex Akinbi, Muhammad Enamul Hoque Chowdhury, Tarik A. Rashid, Abdulkadir Sengür, Amith Khandakar, Khandaker Reajul Islam, Aras Masood Ismael:
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. Health Inf. Sci. Syst. 10(1): 1 (2022) - [j31]Kanchon Kanti Podder, Muhammad Enamul Hoque Chowdhury, Anas M. Tahir, Zaid Bin Mahbub, Amith Khandakar, Md. Shafayet Hossain, Muhammad Abdul Kadir:
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model. Sensors 22(2): 574 (2022) - [j30]Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md. Shafayet Hossain, M. Sohel Rahman, Farayi Musharavati, Mohamed Arselene Ayari, Mohammad Tariqul Islam, Muhammad Enamul Hoque Chowdhury:
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. Sensors 22(3): 919 (2022) - [j29]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Tariq O. Abbas, Tanvir Alam, Mohamed Arselene Ayari, Zaid Bin Mahbub, Rumana Habib, Tawsifur Rahman, Anas M. Tahir, Ahmad Ashrif A. Bakar, Rayaz A. Malik:
Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques. Sensors 22(5): 1793 (2022) - [j28]Md. Shafayet Hossain, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Serkan Kiranyaz, Amith Khandakar, Mohammed Alhatou, Rumana Habib, Muhammad Maqsud Hossain:
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis. Sensors 22(9): 3169 (2022) - [j27]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Serkan Kiranyaz, Tawsifur Rahman, Moajjem Hossain Chowdhury, Mohamed Arselene Ayari, Rashad Alfkey, Ahmad Ashrif A. Bakar, Rayaz A. Malik, Anwarul Hasan:
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images. Sensors 22(11): 4249 (2022) - [j26]Amith Khandakar, Sakib Mahmud, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Serkan Kiranyaz, Zaid Bin Mahbub, Sawal Hamid Ali, Ahmad Ashrif A. Bakar, Mohamed Arselene Ayari, Mohammed Alhatou, Mohammed AbdulMoniem, Md. Ahasan Atick Faisal:
Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature. Sensors 22(19): 7599 (2022) - [j25]Muhammad Uzair Zahid, Serkan Kiranyaz, Turker Ince, Ozer Can Devecioglu, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Anas M. Tahir, Moncef Gabbouj:
Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network. IEEE Trans. Biomed. Eng. 69(1): 119-128 (2022) - [j24]Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince, Junaid Malik, Muhammad Enamul Hoque Chowdhury, Tahir Hamid, Rashid Mazhar, Amith Khandakar, Anas Tahir, Tawsifur Rahman, Moncef Gabbouj:
Blind ECG Restoration by Operational Cycle-GANs. IEEE Trans. Biomed. Eng. 69(12): 3572-3581 (2022) - [j23]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas Tahir, Yazan Qiblawey, Tawsifur Rahman:
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 928-940 (2022) - [i26]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Susu M. Zughaier, Serkan Kiranyaz, M. Sohel Rahman:
RamanNet: A generalized neural network architecture for Raman Spectrum Analysis. CoRR abs/2201.09737 (2022) - [i25]Serkan Kiranyaz, Ozer Can Devecioglu, Turker Ince, Junaid Malik, Muhammad Enamul Hoque Chowdhury, Tahir Hamid, Rashid Mazhar, Amith Khandakar, Anas Tahir, Tawsifur Rahman, Moncef Gabbouj:
Blind ECG Restoration by Operational Cycle-GANs. CoRR abs/2202.00589 (2022) - [i24]Md. Shafayet Hossain, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Serkan Kiranyaz, Amith Khandakar, Mohammed Alhatou, Rumana Habib, Muhammad Maqsud Hossain:
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis. CoRR abs/2204.04533 (2022) - [i23]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Zaid Bin Mahbub, Md Sakib Abrar Hossain, Abraham Alhatou, Eynas Abdalla, Sreekumar Muthiyal, Khandaker Farzana Islam, Saad Bin Abul Kashem, Muhammad Salman Khan, Susu M. Zughaier, Muhammad Maqsud Hossain:
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. CoRR abs/2206.07595 (2022) - [i22]Sakib Mahmud, Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mohammed AbdulMoniem, Mamun Bin Ibne Reaz, Zaid Bin Mahbub, Kishor Kumar Sadasivuni, M. Murugappan, Mohammed Alhatou:
Design, Implementation, and Performance Evaluation of a Fiber Bragg Gratings(FBG) based Smart Insole to Measure Plantar Pressure and Temperature. CoRR abs/2208.12201 (2022) - 2021
- [j22]Abdullah Al Omar, Abu Kaisar Jamil, Amith Khandakar, Abdur Razzak Uzzal, Rabeya Bosri, Nafees Mansoor, Mohammad Shahriar Rahman:
A Transparent and Privacy-Preserving Healthcare Platform With Novel Smart Contract for Smart Cities. IEEE Access 9: 90738-90749 (2021) - [j21]Arafat Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Maymouna Ezeddin, Muhammad Abdul Kadir:
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms. IEEE Access 9: 94625-94643 (2021) - [j20]Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Md. Shafayet Hossain, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Mohammad Monir Uddin, Amith Khandakar, Zaid Bin Mahbub, Sawal Hamid Md. Ali:
A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model. IEEE Access 9: 96775-96790 (2021) - [j19]Tawsifur Rahman, Amith Khandakar, Md Enamul Hoque, Nabil Ibtehaz, Saad Bin Abul Kashem, Reehum Masud, Lutfunnahar Shampa, Mohammad Mehedi Hasan, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Saif Badran, Suhail A. R. Doi, Muhammad Enamul Hoque Chowdhury:
Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters. IEEE Access 9: 120422-120441 (2021) - [j18]Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas M. Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury:
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images. Comput. Biol. Medicine 132: 104319 (2021) - [j17]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Anwarul Hasan, Serkan Kiranyaz, Tawsifur Rahman, Rashad Alfkey, Ahmad Ashrif A. Bakar, Rayaz A. Malik:
A machine learning model for early detection of diabetic foot using thermogram images. Comput. Biol. Medicine 137: 104838 (2021) - [j16]Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, M. Sohel Rahman, Somaya Al-Máadeed, Sakib Mahmud, Maymouna Ezeddin, Khaled Hameed, Tahir Hamid:
COVID-19 infection localization and severity grading from chest X-ray images. Comput. Biol. Medicine 139: 105002 (2021) - [j15]Md Mohiuddin Soliman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Mohammad Tariqul Islam, Yazan Qiblawey, Farayi Musharavati, Erfan Zal Nezhad:
Review on Medical Implantable Antenna Technology and Imminent Research Challenges. Sensors 21(9): 3163 (2021) - [j14]Faizad Ullah, Shahab U. Ansari, Muhammad Hanif, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Muhammad Salman Khan:
Brain MR Image Enhancement for Tumor Segmentation Using 3D U-Net. Sensors 21(22): 7528 (2021) - [c4]Ali Jassim Lari, Augustine Egwebe, Farid Touati, Antonio S. P. Gonzales, Amith Abdullah Khandakar:
Reliable Photovoltaics Output Power Prediction in Qatar. DeSE 2021: 546-551 - [i21]Muhammad Uzair Zahid, Serkan Kiranyaz, Turker Ince, Ozer Can Devecioglu, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Anas M. Tahir, Moncef Gabbouj:
Robust R-Peak Detection in Low-Quality Holter ECGs using 1D Convolutional Neural Network. CoRR abs/2101.01666 (2021) - [i20]Yazan Qiblawey, Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, Tawsifur Rahman, Nabil Ibtehaz, Sakib Mahmud, Somaya Al-Madeed, Farayi Musharavati:
Detection and severity classification of COVID-19 in CT images using deep learning. CoRR abs/2102.07726 (2021) - [i19]Nabil Ibtehaz, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas M. Tahir, Yazan Qiblawey, Tawsifur Rahman:
EDITH : ECG biometrics aided by Deep learning for reliable Individual auTHentication. CoRR abs/2102.08026 (2021) - [i18]Md Nazmul Islam Shuzan, Moajjem Hossain Chowdhury, Muhammad Enamul Hoque Chowdhury, Mohammad Monir Uddin, Amith Khandakar, Zaid Bin Mahbub, Naveed Nawaz:
A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model. CoRR abs/2102.09483 (2021) - [i17]Arafat Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Serkan Kiranyaz, Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Muhammad Abdul Kadir:
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms. CoRR abs/2103.07274 (2021) - [i16]Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz, Nabil Ibtehaz, Mohammad Shohel Rahman, Somaya Al-Madeed, Khaled Hameed, Tahir Hamid, Sakib Mahmud, Maymouna Ezeddin:
COVID-19 Infection Localization and Severity Grading from Chest X-ray Images. CoRR abs/2103.07985 (2021) - [i15]Tawsifur Rahman, Alex Akinbi, Muhammad Enamul Hoque Chowdhury, Tarik A. Rashid, Abdulkadir Sengür, Amith Khandakar, Khandaker Reajul Islam, Aras Masood Ismael:
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network. CoRR abs/2106.00436 (2021) - [i14]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Anwarul Hasan, Serkan Kiranyaz, Tawsifur Rahman, Rashad Alfkey, Ahmad Ashrif A. Bakar, Rayaz A. Malik:
A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images. CoRR abs/2106.14207 (2021) - [i13]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Md. Saifuddin Khalid, Nizar Zorba:
Case study of Innovative Teaching Practices and their Impact for Electrical Engineering Courses during COVID-19 Pandemic. CoRR abs/2107.00746 (2021) - [i12]Serkan Kiranyaz, Junaid Malik, Muhammad Uzair Zahid, Turker Ince, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Anas M. Tahir, Moncef Gabbouj:
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks. CoRR abs/2110.02381 (2021) - [i11]Sakib Mahmud, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md. Shafayet Hossain, M. Sohel Rahman, Mohammad Tariqul Islam, Muhammad Enamul Hoque Chowdhury:
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. CoRR abs/2111.08480 (2021) - 2020
- [j13]Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandakar Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al-Emadi, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam:
Can AI Help in Screening Viral and COVID-19 Pneumonia? IEEE Access 8: 132665-132676 (2020) - [j12]Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker Reajul Islam, Khandakar F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Saad Bin Abul Kashem, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury:
Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization. IEEE Access 8: 191586-191601 (2020) - [j11]Anas M. Tahir, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Sara Al-Hamouz, Merna Abdalla, Sara Awadallah, Mamun Bin Ibne Reaz, Nasser Al-Emadi:
A Systematic Approach to the Design and Characterization of a Smart Insole for Detecting Vertical Ground Reaction Force (vGRF) in Gait Analysis. Sensors 20(4): 957 (2020) - [j10]Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad Enamul Hoque Chowdhury, Zaid Bin Mahbub, Mohammad Monir Uddin, Amith Khandakar, Mamun Bin Ibne Reaz:
Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques. Sensors 20(11): 3127 (2020) - [j9]Mahmoud Dahmani, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Khaled Al-Jayyousi, Abdalla Hefny, Serkan Kiranyaz:
An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control. Sensors 20(14): 3936 (2020) - [j8]Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Saba Ahmed, Fatima Al-Khuzaei, Jalaa Hamdalla, Fahmida Haque, Mamun Bin Ibne Reaz, Ahmed Al Shafei, Nasser Al-Emadi:
Design, Construction and Testing of IoT Based Automated Indoor Vertical Hydroponics Farming Test-Bed in Qatar. Sensors 20(19): 5637 (2020) - [c3]Abdularahman Hasan Abunada, Ahmed Yousif Osman, Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Tamer Khattab, Farid Touati:
Design and Implementation of a RF Based Anti-Drone System. ICIoT 2020: 35-42 - [i10]Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandakar Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al-Emadi, Mamun Bin Ibne Reaz:
Can AI help in screening Viral and COVID-19 pneumonia? CoRR abs/2003.13145 (2020) - [i9]Tawsifur Rahman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Khandakar Reajul Islam, Khandaker F. Islam, Zaid Bin Mahbub, Muhammad Abdul Kadir, Saad Bin Abul Kashem:
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray. CoRR abs/2004.06578 (2020) - [i8]Mahmoud Dahmani, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Tawsifur Rahman, Khaled Al-Jayyousi, Abdalla Hefny, Serkan Kiranyaz:
An Intelligent and Low-cost Eye-tracking System for Motorized Wheelchair Control. CoRR abs/2005.02118 (2020) - [i7]Moajjem Hossain Chowdhury, Md Nazmul Islam Shuzan, Muhammad Enamul Hoque Chowdhury, Zaid Bin Mahbub, Mohammad Monir Uddin, Amith Khandakar, Mamun Bin Ibne Reaz:
Estimating Blood Pressure from Photoplethysmogram Signal and Demographic Features using Machine Learning Techniques. CoRR abs/2005.03357 (2020) - [i6]Anas M. Tahir, Yazan Qiblawey, Amith Khandakar, Tawsifur Rahman, Uzair Khurshid, Farayi Musharavati, Serkan Kiranyaz, Muhammad Enamul Hoque Chowdhury:
Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI. CoRR abs/2005.11524 (2020) - [i5]Amith Khandakar, Annaufal Rizqullah, Anas Ashraf Abdou Berbar, Mohammad Rafi Ahmed, Atif Iqbal, Muhammad Enamul Hoque Chowdhury, S. M. Ashfaq Uz Zaman:
A Case Study to Identify the Hindrances to Widespread Adoption of Electric Vehicles in Qatar. CoRR abs/2006.15428 (2020) - [i4]Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandakar Reajul Islam, Khandaker F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury:
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization. CoRR abs/2007.14895 (2020) - [i3]Muhammad Enamul Hoque Chowdhury, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail A. R. Doi, Hanadi Hassen, Mohammad Tariqul Islam:
An early warning tool for predicting mortality risk of COVID-19 patients using machine learning. CoRR abs/2007.15559 (2020) - [i2]Tawsifur Rahman, Amith Khandakar, Yazan Qiblawey, Anas M. Tahir, Serkan Kiranyaz, Saad Bin Abul Kashem, Mohammad Tariqul Islam, Somaya Al-Máadeed, Susu M. Zughaier, Muhammad Salman Khan, Muhammad Enamul Hoque Chowdhury:
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images. CoRR abs/2012.02238 (2020) - [i1]Kaleem Nawaz Khan, Faiq Ahmad Khan, Anam Abid, Tamer Ölmez, Zümray Dokur, Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Muhammad Salman Khan:
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning. CoRR abs/2012.08406 (2020)
2010 – 2019
- 2019
- [j7]Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Karen J. Mullinger, Belayat Hossain, Nasser Al-Emadi, Andre Antunes, Richard Bowtell:
Reference Layer Artefact Subtraction (RLAS): Electromagnetic Simulations. IEEE Access 7: 17882-17895 (2019) - [j6]Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Belayat Hossain, Rayaan Abouhasera:
A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm. J. Sensors 2019: 3681031:1-3681031:11 (2019) - [j5]Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Belayat Hossain, Rayaan Abouhasera:
Corrigendum to "A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm". J. Sensors 2019: 4214089:1 (2019) - [j4]Amith Khandakar, Amr Mahmoud Salem Mohamed:
Understanding Probabilistic Cognitive Relaying Communication with Experimental Implementation and Performance Analysis. Sensors 19(1): 179 (2019) - [j3]Amith Khandakar, Muhammad Enamul Hoque Chowdhury, Rashid Ahmed, Ahmed Dhib, Mohammed Mohammed, Nasser Al-Emadi, Dave Michelson:
Portable System for Monitoring and Controlling Driver Behavior and the Use of a Mobile Phone While Driving. Sensors 19(7): 1563 (2019) - [j2]Muhammad Enamul Hoque Chowdhury, Khawla Alzoubi, Amith Khandakar, Ridab Khallifa, Rayaan Abouhasera, Sirine Koubaa, Rashid Ahmed, Anwarul Hasan:
Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents. Sensors 19(12): 2780 (2019) - [j1]Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Khawla Alzoubi, Samar Mansoor, Anas M. Tahir, Mamun Bin Ibne Reaz, Nasser Al-Emadi:
Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring. Sensors 19(12): 2781 (2019) - 2018
- [c2]Abir Touati, Farid Touati, Abderrazak Abdaoui, Amith Khandakar, Ammar Bouallegue:
Prospects and Challenges of Free Space Optical Communications. UNet 2018: 40-48 - 2014
- [c1]Amith Khandakar, Amr Mohammed, Amr A. El-Sherif:
Experimental threshold determination for secondary users using USRP and Gnu radio. DICTAP 2014: 62-68
Coauthor Index
Muhammad E. H. Chowdhury
aka: Muhammad Enamul Hoque Chowdhury
aka: Muhammad Enamul Hoque Chowdhury
[j78] [i29] [j74] [j73] [j70] [j69] [j68] [j65] [j64] [j63] [j62] [j61] [j59] [j57] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [i26] [i25] [i24] [i23] [i22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [j13] [j12] [j11] [j10] [j9] [j8] [c3] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [j7] [j6] [j5] [j3] [j2] [j1]
Anas M. Tahir
aka: Anas Tahir
aka: Anas Tahir
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