M. Ayari

发表

Robust and General Model to Forecast the Heat Transfer Coefficient for Flow Condensation in Multi Port Mini/Micro-Channels

Seyyed Hossein Hosseini, G. Ahmadi, J. Tavoosi, 2022, Processes.

Utilizing Steel Slag in the Removal of Suspended Solids from Dewatered Construction Water

M. Ayari, Ahmed T. Yasir, Alaa Al Hawari, 2020 .

An integrated urban-transport smart growth model around metro stations: A case of Qatar

M. AlSuwaidi, S. Pokharel, M. Ayari, 2021 .

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

M. Ayari, A. Khandakar, Asima Bibi, 2022, Comput. Biol. Medicine.

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

S. Kiranyaz, M. Ayari, R. Malik, 2022, Sensors.

Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal

Md Nazmul Islam Shuzan, M. Ayari, M. Reaz, 2022, Bioengineering.

Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model

M. Ayari, A. Khandakar, B. Vaferi, 2022, Pharmaceutics.

Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media

M. Ayari, A. Khandakar, Zanko Hasssan Jawhar, 2022, Pharmaceuticals.

Robust and General Model to Forecast the Heat Transfer Coefficient for Flow Condensation in Multi Port Mini/Micro-Channels

Goodarz Ahmadi, Jafar Tavoosi, Saleh Mobayen, 2021, SSRN Electronic Journal.

Fouling mitigation strategies for different foulants in membrane distillation

M. Ayari, A. Alkhatib, A. Hawari, 2021 .

Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies

M. Ayari, A. Khandakar, B. Vaferi, 2022, Polymers.

Perspectives on Food Waste Management: Prevention and Social Innovations

S. Pokharel, M. Ayari, Muna Al-Obadi, 2022, Sustainable Production and Consumption.

Enabling Open Innovation in Digital Startups through the Incubation Program—A Case of Qatar

S. Pokharel, M. Ayari, M. Essam, 2022, Sustainability.

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

Amith Khandakar, Mohamed Arselene Ayari, Tahir Hamid, 2020, IEEE Access.

Design and Performance Evaluation of a Novel Spiral Head-Stem Trunnion for Hip Implants Using Finite Element Analysis

Erfan Zal Nezhad, Md Mohiuddin Soliman, Mohammad Tariqul Islam, 2023, Materials.

A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images

Md. Atiqur Rahman, M. Ayari, M. E. Chowdhury, 2023, Biosensors.

Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques

Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Amith Khandakar, 2021, AgriEngineering.

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

Shahab U. Ansari, Muhammad Enamul Hoque Chowdhury, Muhammad Hanif, 2021, Sensors.

Case Study to Analyze the Impact of Multi-Course Project-Based Learning Approach on Education for Sustainable Development

Amith Khandakar, Mohamed Arselene Ayari, Antonio S. P. Gonzales, 2020, Sustainability.

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

Md. Ahasan Atick Faisal, S. Kiranyaz, M. Ayari, 2022, Sensors.

Challenges Facing Faculty Members When Using a Learning Management System

Emad Abu-Shanab, Jumana Samara, Mohamed Arselene Ayari, 2020, Int. J. Inf. Commun. Technol. Educ..

Examining engineering students' perceptions of learner agency enactment in problem‐ and project‐based learning using Q methodology

M. Ayari, Xiangyun Du, K. Naji, 2021, Journal of Engineering Education.

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

Sagor Chandro Bakchy, J. Haider, M. Ayari, 2023, Sensors.

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

M. Ayari, A. Khandakar, Z. Mahbub, 2023, Sensors.

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

M. Ayari, A. Khandakar, A. Khandakar, 2023, Sensors.

Explainable deep learning model for automatic mulberry leaf disease classification

N. Al-Emadi, J. Haider, M. Ayari, 2023, Frontiers in plant science.

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

T. Alam, M. Ayari, Z. Mahbub, 2022, Sensors.

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

Khandaker F. Islam, M. Islam, M. Ayari, 2020, IEEE Access.

Modeling of permeability impairment dynamics in porous media: A machine learning approach

R. Al-Raoush, M. Ayari, A. Elrahmani, 2023, Powder Technology.

Development of a stacked machine learning model to compute the capability of ZnO-based sensors for hydrogen detection

M. Ayari, B. Vaferi, Mohsen Dehbashi, 2024, Sustainable Materials and Technologies.

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

M. Ayari, A. Sadique, A. Khandakar, 2023, Italian National Conference on Sensors.

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

M. Ayari, A. Khandakar, Md. Faysal Ahamed, 2024, IEEE Access.