Modified genetic algorithms for manufacturing process planning in multiple parts manufacturing lines. - Farayi Musharavati; Abdel Magid S. Hamouda (Expert Syst. Appl., 2011)

Enhanced simulated-annealing-based algorithms and their applications to process planning in reconfigurable manufacturing systems. - Farayi Musharavati; Abdel Magid S. Hamouda (Adv. Eng. Softw., 2012)

Dynamic aggregated building electricity load modeling and simulation. - Abdelazeem A. Abdelsalam; Hossam A. Gabbar; Farayi Musharavati; Shaligram Pokharel (Simul. Model. Pract. Theory, 2014)

Corrigendum to "Dynamic aggregated building electricity load modeling and simulation" [Simul. Modell. Pract. Theory 42 (2014) 19-31]. - Abdelazeem A. Abdelsalam; Hossam A. Gabbar; Farayi Musharavati; Shaligram Pokharel (Simul. Model. Pract. Theory, 2014)

Building thermal energy modeling with loss minimization. - Hossam A. Gabbar; Daniel Bondarenko; Sajid Hussain; Farayi Musharavati; Shaligram Pokharel (Simul. Model. Pract. Theory, 2014)

An Intelligent Hybrid Experimental-Based Deep Learning Algorithm for Tomato-Sorting Controllers. - Mayar Haggag; Samaa Abdelhay; Asma Mecheter; Samer Gowid; Farayi Musharavati; Saud Ghani (IEEE Access, 2019)

Finite Element Analysis of the Mechanism of Traumatic Aortic Rupture (TAR). - JiFeng Nan; Mohammadreza Rezaei; Rashid Mazhar; Fadi Jaber; Farayi Musharavati; Erfan Zalnezhad; Muhammad Enamul Hoque Chowdhury (Comput. Math. Methods Medicine, 2020)

Coronavirus: Comparing COVID-19, SARS and MERS in the eyes of AI. - Anas M. Tahir; Yazan Qiblawey; Amith Khandakar; Tawsifur Rahman; Uzair Khurshid; Farayi Musharavati; Serkan Kiranyaz; Muhammad Enamul Hoque Chowdhury (CoRR, 2020)

Detection and severity classification of COVID-19 in CT images using deep learning. - Yazan Qiblawey; Anas M. Tahir; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Serkan Kiranyaz; Tawsifur Rahman; Nabil Ibtehaz; Sakib Mahmud; Somaya Al-Madeed; Farayi Musharavati (CoRR, 2021)

Review on Medical Implantable Antenna Technology and Imminent Research Challenges. - Md Mohiuddin Soliman; Muhammad Enamul Hoque Chowdhury; Amith Khandakar; Mohammad Tariqul Islam 001; Yazan Qiblawey; Farayi Musharavati; Erfan Zal Nezhad (Sensors, 2021)

HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images. - Tawsifur Rahman; Amith Khandakar; Khandaker Reajul Islam; Md Mohiuddin Soliman; Mohammad Tariqul Islam 001; Ahmed Elsayed; Yazan Qiblawey; Sakib Mahmud; Ashiqur Rahman; Farayi Musharavati; Erfan Zalnezhad; Muhammad Enamul Hoque Chowdhury (IEEE Access, 2022)

Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images. - Anas M. Tahir; Yazan Qiblawey; Amith Khandakar; Tawsifur Rahman; Uzair Khurshid; Farayi Musharavati; Mohammad Tariqul Islam 001; Serkan Kiranyaz; Somaya Al-Máadeed; Muhammad Enamul Hoque Chowdhury (Cogn. Comput., 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 001; Muhammad Enamul Hoque Chowdhury (Sensors, 2022)

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. - 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 (Biomed. Signal Process. Control., 2023)