Mohamed Arselene Ayari

According to our database, Mohamed Arselene Ayari authored at least 20 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability.

Md. Nahiduzzaman, Md. Faysal Ahamed, Mansura Naznine, Md. Jawadul Karim, Hafsa Binte Kibria, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider

Knowl. Based Syst., 2025

2024

A novel framework for lung cancer classification using lightweight convolutional neural networks and ridge extreme learning machine model with SHapley Additive exPlanations (SHAP).

Md. Nahiduzzaman, Lway Faisal Abdulrazak, Mohamed Arselene Ayari, Amith Khandakar, S. M. Riazul Islam

Expert Syst. Appl., 2024

Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI.

Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, Mansura Naznine, Mohamed Arselene Ayari, Amith Khandakar, Julfikar Haider

Expert Syst. Appl., 2024

Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review.

Amith Khandakar, David G. Michelson, Mansura Naznine, Abdus Salam, Md. Nahiduzzaman, Khaled M. Khan, Ponnuthurai Nagaratnam Suganthan, Mohamed Arselene Ayari, Hamid Menouar, Julfikar Haider

CoRR, 2024

Smart aquaponics: An innovative machine learning framework for fish farming optimization.

Amith Khandakar, I. M. Elzein, Md. Nahiduzzaman, Mohamed Arselene Ayari, Azad Ibn Ashraf, Lino Korah, Alhareth Zyoud, Hassan Ali, Ahmed Badawi

Comput. Electr. Eng., 2024

GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults.

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

IEEE Access, 2024

Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI.

Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Md. Jawadul Karim, Mohamed Arselene Ayari, Amith Khandakar

IEEE Access, 2024

2023

Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images.

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

Sensors, November, 2023

IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques.

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

Sensors, September, 2023

Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model.

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

Sensors, August, 2023

A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning.

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

Sensors, 2023

2022

A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals.

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

Sensors, 2022

Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature.

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

Sensors, 2022

A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images.

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

Sensors, 2022

Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques.

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

Sensors, 2022

Deep learning techniques for liver and liver tumor segmentation: A review.

Sidra Gul, Muhammad Salman Khan, Asima Bibi, Amith Khandakar, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury

Comput. Biol. Medicine, 2022

2021

Brain MR Image Enhancement for Tumor Segmentation Using 3D U-Net.

Faizad Ullah, Shahab U. Ansari, Muhammad Hanif, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Muhammad Salman Khan

Sensors, 2021

2020

Challenges Facing Faculty Members When Using a Learning Management System.

Emad A. Abu-Shanab, Jumana Samara, Mohamed Arselene Ayari

Int. J. Inf. Commun. Technol. Educ., 2020

Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization.

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

CoRR, 2020

Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization.

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

IEEE Access, 2020