Farayi Musharavati

According to our database, Farayi Musharavati authored at least 14 papers between 2011 and 2023.

Collaborative distances:

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

2023

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

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

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, Serkan Kiranyaz, Somaya Al-Máadeed, Muhammad Enamul Hoque Chowdhury

Cogn. Comput., 2022

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, Ahmed Elsayed, Yazan Qiblawey, Sakib Mahmud, Ashiqur Rahman, Farayi Musharavati, Erfan Zalnezhad, Muhammad Enamul Hoque Chowdhury

IEEE Access, 2022

2021

Review on Medical Implantable Antenna Technology and Imminent Research Challenges.

Md Mohiuddin Soliman, Muhammad Enamul Hoque Chowdhury, Amith Khandakar, Mohammad Tariqul Islam, Yazan Qiblawey, Farayi Musharavati, Erfan Zal Nezhad

Sensors, 2021

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

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

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

2019

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

2014

Building thermal energy modeling with loss minimization.

Hossam A. Gabbar, Daniel Bondarenko, Sajid Hussain, 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

Dynamic aggregated building electricity load modeling and simulation.

Abdelazeem A. Abdelsalam, Hossam A. Gabbar, Farayi Musharavati, Shaligram Pokharel

Simul. Model. Pract. Theory, 2014

2012

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

2011

Modified genetic algorithms for manufacturing process planning in multiple parts manufacturing lines.

Farayi Musharavati, Abdel Magid S. Hamouda

Expert Syst. Appl., 2011