Mohamed Arselene Ayari

29 papers Journal 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Structured Question-Answer Dataset for Large Language Models in Power System Dynamics and Operations. IEEE Access Abdul Hannaan, Amith Khandakar, Md. Fahim Hossen, Md. Tajim An Noor, Mohamed Arselene Ayari, Nasser Ahmed Al-Emadi, S. M. Muyeen
2026	J	`jnl`	Fusion-driven EEG reconstruction and cognitive workload recognition using conditional diffusion and graph-based learning. Adv. Eng. Informatics Fariya Bintay Shafi, Md. Faysal Ahamed, Amith Khandakar, Mohamed Arselene Ayari, Shahriar Islam Siyam
2026	J	`jnl`	PDP-PINN: A Fourier-Augmented Physics-Informed Neural Network for Pressure Drop Prediction in CO IEEE Access Nafisa Binte Ghulam Kibria, Amith Khandakar, Md. Faysal Ahamed, Hafsa Binte Kibria, Mohammad Azizur Rahman, Mohamed Arselene Ayari
2025	J	`jnl`	An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability. Knowl. Based Syst. Md. Nahiduzzaman, Md. Faysal Ahamed, Mansura Naznine, Md. Jawadul Karim, Hafsa Binte Kibria, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider
2025	J	`jnl`	Compost maturity prediction and gas emissions monitoring: A sensor-based and interpretable machine learning approach. Comput. Electr. Eng. 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
2025	J	`jnl`	Explainable deep learning for rainfall prediction: A CNN-XGBoost hybrid approach in the northern region of Bangladesh. Neural Comput. Appl. Md Safayet Islam, Md Shafiuzzaman, Golam Mahmud, Nabila Nowshin, Parisa Reza, Jahid Hasan, Md. Faysal Ahamed, Md. Nahiduzzaman, Mohamed Arselene Ayari, Amith Khandakar
2025	J	`jnl`	Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI. Comput. Biol. Medicine Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, Mohamed Arselene Ayari, Amith Khandakar
2025	J	`jnl`	PLDs-CNN-ridge-ELM: Interpretable lightweight waste classification framework. Eng. Appl. Artif. Intell. Mansura Naznine, Md. Nahiduzzaman, Md. Jawadul Karim, Md. Faysal Ahamed, Abdus Salam, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider
2025	J	`jnl`	RoadSens-4M: A Multimodal Smartphone & Camera Dataset for Holistic Road-way Analysis. CoRR Amith Khandakar, David G. Michelson, Shaikh Golam Rabbani, Fariya Bintay Shafi, Md. Faysal Ahamed, Khondokar Radwanur Rahman, Md. Abidur Rahman, Md. Fahmidun Nabi, Mohamed Arselene Ayari, Khaled M. Khan, Ponnuthurai Nagaratnam Suganthan
2025	J	`jnl`	UGA-GAN: Unified Geometry-Aware GAN for Enhanced Training and Generation of High-Dimensional Data. IEEE Access Wasi Ahmad, Md. Faysal Ahamed, Amith Khandakar, SM Ashfaq Uz Zaman, Mohamed Arselene Ayari
2024	J	`jnl`	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. Md. Nahiduzzaman, Lway Faisal Abdulrazak, Mohamed Arselene Ayari, Amith Khandakar, S. M. Riazul Islam
2024	J	`jnl`	Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI. IEEE Access Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Md. Jawadul Karim, Mohamed Arselene Ayari, Amith Khandakar
2024	J	`jnl`	Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI. Expert Syst. Appl. Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, Mansura Naznine, Mohamed Arselene Ayari, Amith Khandakar, Julfikar Haider
2024	J	`jnl`	GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults. IEEE Access 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
2024	J	`jnl`	Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review. CoRR Amith Khandakar, David G. Michelson, Mansura Naznine, Abdus Salam, Md. Nahiduzzaman, Khaled M. Khan, Ponnuthurai Nagaratnam Suganthan, Mohamed Arselene Ayari, Hamid Menouar, Julfikar Haider
2024	J	`jnl`	Smart aquaponics: An innovative machine learning framework for fish farming optimization. Comput. Electr. Eng. Amith Khandakar, I. M. Elzein, Md. Nahiduzzaman, Mohamed Arselene Ayari, Azad Ibn Ashraf, Lino Korah, Alhareth Zyoud, Hassan Ali, Ahmed Badawi
2023	J	`jnl`	A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning. Sensors 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
2023	J	`jnl`	Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images. Sensors Md Sakib Abrar Hossain, Sidra Gul, Muhammad E. H. Chowdhury, Muhammad Salman Khan, Md. Shaheenur Islam Sumon, Enamul Hoque Bhuiyan, Amith Khandakar, Muhammad Maqsud Hossain, Abdus Sadique, Israa Al-Hashimi, Mohamed Arselene Ayari, Sakib Mahmud, Abdulrahman Alqahtani
2023	J	`jnl`	IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. Sensors 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
2023	J	`jnl`	Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model. Sensors 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
2022	J	`jnl`	A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images. Sensors 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
2022	J	`jnl`	A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals. Sensors 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
2022	J	`jnl`	Deep learning techniques for liver and liver tumor segmentation: A review. Comput. Biol. Medicine Sidra Gul, Muhammad Salman Khan, Asima Bibi, Amith Khandakar, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury
2022	J	`jnl`	Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature. Sensors 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
2022	J	`jnl`	Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques. Sensors 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
2021	J	`jnl`	Brain MR Image Enhancement for Tumor Segmentation Using 3D U-Net. Sensors Faizad Ullah, Shahab U. Ansari, Muhammad Hanif, Mohamed Arselene Ayari, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Muhammad Salman Khan
2020	J	`jnl`	Challenges Facing Faculty Members When Using a Learning Management System. Int. J. Inf. Commun. Technol. Educ. Emad A. Abu-Shanab, Jumana Samara, Mohamed Arselene Ayari
2020	J	`jnl`	Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization. IEEE Access 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
2020	J	`jnl`	Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization. CoRR 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