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Muhammad Irfan
Muhammad Irfan
Electrical Engineering Department, College of Engineering, Najran University Kingdom of Saudi Arabia
Verified email at nu.edu.sa
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Cited by
Cited by
Year
Skin cancer detection: a review using deep learning techniques
M Dildar, S Akram, M Irfan, HU Khan, M Ramzan, AR Mahmood, ...
International journal of environmental research and public health 18 (10), 5479, 2021
2432021
A review of artificial intelligence methods for condition monitoring and fault diagnosis of rolling element bearings for induction motor
O AlShorman, M Irfan, N Saad, D Zhen, N Haider, A Glowacz, ...
Shock and vibration 2020, 1-20, 2020
1502020
Fault diagnosis of angle grinders and electric impact drills using acoustic signals
A Glowacz, R Tadeusiewicz, S Legutko, W Caesarendra, M Irfan, H Liu, ...
Applied Acoustics 179, 108070, 2021
1452021
IoT-based smart waste bin monitoring and municipal solid waste management system for smart cities
T Ali, M Irfan, AS Alwadie, A Glowacz
Arabian Journal for Science and Engineering 45, 10185-10198, 2020
1212020
A novel high gain wideband MIMO antenna for 5G millimeter wave applications
DA Sehrai, M Abdullah, A Altaf, SH Kiani, F Muhammad, M Tufail, M Irfan, ...
Electronics 9 (6), 1031, 2020
1192020
Detection of Deterioration of Three-Phase Induction Motor using Vibration Signals
ZFK Adam Glowacz, Witold Glowacz, Jarosław Kozik, Muhammad Irfan
Measurement Science Review, 2019
1102019
Performance analysis of boosting classifiers in recognizing activities of daily living
S Rahman, M Irfan, M Raza, K Moyeezullah Ghori, S Yaqoob, M Awais
International journal of environmental research and public health 17 (3), 1082, 2020
1042020
Brain tumor/mass classification framework using magnetic-resonance-imaging-based isolated and developed transfer deep-learning model
MF Alanazi, MU Ali, SJ Hussain, A Zafar, M Mohatram, M Irfan, ...
Sensors 22 (1), 372, 2022
952022
Role of hybrid deep neural networks (HDNNs), computed tomography, and chest X-rays for the detection of COVID-19
M Irfan, MA Iftikhar, S Yasin, U Draz, T Ali, S Hussain, S Bukhari, ...
International Journal of Environmental Research and Public Health 18 (6), 3056, 2021
802021
IoT based smart parking system using deep long short memory network
G Ali, T Ali, M Irfan, U Draz, M Sohail, A Glowacz, M Sulowicz, R Mielnik, ...
Electronics 9 (10), 1696, 2020
802020
Waste management and prediction of air pollutants using IoT and machine learning approach
A Hussain, U Draz, T Ali, S Tariq, M Irfan, A Glowacz, JA Antonino Daviu, ...
Energies 13 (15), 3930, 2020
772020
A novel method for COVID-19 diagnosis using artificial intelligence in chest X-ray images
YE Almalki, A Qayyum, M Irfan, N Haider, A Glowacz, FM Alshehri, ...
Healthcare 9 (5), 522, 2021
632021
Fuzzy-based fault-tolerant control for omnidirectional mobile robot
AM Alshorman, O Alshorman, M Irfan, A Glowacz, F Muhammad, ...
Machines 8 (3), 55, 2020
492020
Design and experimental analysis of multiband frequency reconfigurable antenna for 5G and sub-6 GHz wireless communication
H Dildar, F Althobiani, I Ahmad, WUR Khan, S Ullah, N Mufti, S Ullah, ...
Micromachines 12 (1), 32, 2020
442020
An Internet of Things based bed-egress alerting paradigm using wearable sensors in elderly care environment
M Awais, M Raza, K Ali, Z Ali, M Irfan, O Chughtai, I Khan, S Kim, ...
Sensors 19 (11), 2498, 2019
442019
Condition monitoring and faults diagnosis of induction motors: electrical signature analysis
N Saad, M Irfan, R Ibrahim
CRC Press, 2018
422018
Fault diagnosis of three phase induction motor using current signal, MSAF-Ratio15 and selected classifiers
A Glowacz, W Glowacz, Z Glowacz, J Kozik, MH Gutten, D Korenciak, ...
Archives of Metallurgy and Materials, 2017
422017
Security framework for IoT based real-time health applications
A Hussain, T Ali, F Althobiani, U Draz, M Irfan, S Yasin, S Shafiq, Z Safdar, ...
Electronics 10 (6), 719, 2021
382021
Nature inspired MIMO antenna system for future mmWave technologies
S Rahman, X Ren, A Altaf, M Irfan, M Abdullah, F Muhammad, MR Anjum, ...
Micromachines 11 (12), 1083, 2020
382020
An adoptive threshold-based multi-level deep convolutional neural network for glaucoma eye disease detection and classification
M Aamir, M Irfan, T Ali, G Ali, A Shaf, A Al-Beshri, T Alasbali, ...
Diagnostics 10 (8), 602, 2020
382020
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