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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
2812021
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
1572020
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
1492021
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
1392020
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
1332020
Brief culturally adapted CBT for psychosis (CaCBTp): a randomized controlled trial from a low income country
F Naeem, S Saeed, M Irfan, T Kiran, N Mehmood, M Gul, T Munshi, ...
Schizophrenia Research 164 (1-3), 143-148, 2015
1162015
Detection of Deterioration of Three-Phase Induction Motor using Vibration Signals
ZFK Adam Glowacz, Witold Glowacz, Jaros³aw Kozik, Muhammad Irfan
Measurement Science Review, 2019
1142019
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
1122020
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
1112022
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
902020
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
842021
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
832020
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
652021
Fuzzy-based fault-tolerant control for omnidirectional mobile robot
AM Alshorman, O Alshorman, M Irfan, A Glowacz, F Muhammad, ...
Machines 8 (3), 55, 2020
512020
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
462020
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
462019
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
442021
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
Condition monitoring and faults diagnosis of induction motors: electrical signature analysis
N Saad, M Irfan, R Ibrahim
CRC Press, 2018
432018
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, AS S, A Al-Beshri, T Alasbali, ...
Diagnostics 10 (8), 602, 2020
422020
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