Mudassar Raza, PhD, SM-IEEE

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Muhammad SharifProfessor, Department of Computer Science, COMSATS University Islamabad, Wah CampusEmail yang diverifikasi di ciitwah.edu.pk
Jamal Hussain ShahCOMSATS University Islamabd, Wah CanttEmail yang diverifikasi di ciitwah.edu.pk
Muhammad Attique Khan, (PhD) MIEEECenter of Artificial Intelligence, Dept. of Computer Science, Prince Mohammad bin Fahd UniversityEmail yang diverifikasi di pmu.edu.sa
Prof. Tanzila Saba, IEEE Senior Memb...Full Professor,Prince Sultan University|Leader of Artificial Intelligence & Data Analytics Lab, KSAEmail yang diverifikasi di psu.edu.sa
Sajjad MohsinAdjunct Professor of Computer Science, Austin Community CollegeEmail yang diverifikasi di austincc.edu
Dr. Saeed Ur RehmanCOMSATSEmail yang diverifikasi di ciitwah.edu.pk
Seifedine Kadry, Fellow IETLebanese American University, NUCEmail yang diverifikasi di noroff.no
Zonghai Chen中国科学技术大学Email yang diverifikasi di ustc.edu.cn
Muhammad Imran SharifKansas State University, USAEmail yang diverifikasi di ksu.edu
Professor Dr. Muhammad Younus JavedVice Chancellor, Mirpur University of Science and Technology. (MUST), MirpurEmail yang diverifikasi di must.edu.pk
Wazir Zada KhanDepartment of Computer Science, University of WahEmail yang diverifikasi di uow.edu.pk
Inzamam Mashood Nasir, PhD, MIEEEAssistant Professor, Department of Computer Science, HITEC University TaxilaEmail yang diverifikasi di hitecuni.edu.pk
Peng WangManchester Metropolitan UniversityEmail yang diverifikasi di mmu.ac.uk
Faisal AzamAssistant Professor of Computer Science, COMSATS Institute of Information TechnologyEmail yang diverifikasi di ciitwah.edu.pk
Wasif NisarProfessor (Department of Computer Science, CUI Wah Cantt.)Email yang diverifikasi di comsats.edu.pk
Shahid RasheedPhD Fellow, Department of Computer Science, COMSATS University IslamabadEmail yang diverifikasi di ciitwah.edu.pk
Dr. Waqas HaiderCanberra Institute of TechnologyEmail yang diverifikasi di cit.edu.au
Muhammad IqbalProfessor, Electrical Engineering Department, COMSATS University Islamabad, Wah CampusEmail yang diverifikasi di ciitwah.edu.pk
Mussarat YasminCOMSATS University Islamabad Wah CampusEmail yang diverifikasi di comsats.edu.pk

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Mudassar Raza, PhD, SM-IEEE

Prof: Namal University Mianwali, Pakistan. PhD: USTC China

Email yang diverifikasi di namal.edu.pk - Beranda

AI Computer Vision Deep Learning Pattern Recognition Intelligent Systems


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Brain tumor detection using statistical and machine learning method J Amin, M Sharif, M Raza, T Saba, MA Anjum Computer Methods and Programs in Biomedicine 177, 69-79, 2019	260	2019
A decision support system for multimodal brain tumor classification using deep learning KAMR Muhammad Imran Sharif, Muhammad Attique Khan, Musaed Alhussein Complex & Intelligent Systems, 2021	223	2021
A Survey of Password Attacks and Comparative Analysis on Methods for Secure Authentication M Raza, M Iqbal, M Sharif, W Haider World Applied Sciences Journal 19 (4), 439-444, 2012	196	2012
An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor M Sharif, J Amin, M Raza, M Yasmin, SC Satapathy Pattern Recognition Letters 129, 150-157, 2020	194	2020
A Survey on Medical Image Segmentation S Masood, M Sharif, A Masood, M Yasmin, M Raza Current Medical Imaging Reviews 11 (1), 3-14, 2015	193	2015
Brain tumor detection: a long short-term memory (LSTM)-based learning model J Amin, M Sharif, M Raza, T Saba, R Sial, SA Shad Neural Computing and Applications 32, 15965-15973, 2020	185	2020
Hand-crafted and deep convolutional neural network features fusion and selection strategy: An application to intelligent human action recognition M Sharif, T Akram, M Raza, T Saba, A Rehman Applied Soft Computing, 105986, 2020	177	2020
Brain tumor detection by using stacked autoencoders in deep learning J Amin, M Sharif, N Gul, M Raza, MA Anjum, MW Nisar, SAC Bukhari Journal of medical systems 44 (2), 1-12, 2020	167	2020
Detection of Brain Tumor based on Features Fusion and Machine Learning J Amin, M Sharif, M Raza, M Yasmin Journal of Ambient Intelligence and Humanized Computing, 1-17, 2018	166	2018
Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection MA Khan, MI Sharif, M Raza, A Anjum, T Saba, SA Shad Expert Systems, 2019	150	2019
An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection MA Khan, T Akram, M Sharif, K Javed, M Raza, T Saba Multimedia Tools and Applications 79 (25), 18627-18656, 2020	130	2020
Content Based Image Retrieval: Survey M Rehman, M Iqbal, M Sharif, M Raza World Applied Sciences Journal 19 (3), 404-412, 2012	129	2012
A Survey: Face Recognition Techniques under Partial Occlusion A Azeem, M Sharif, M Raza, M Murtaza The International Arab Journal of Information Technology (IAJIT) 11, 2014	128	2014
Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features TB Maryam Nisa, Jamal Hussain Shah, Shansa Kanwal, Mudassar Raza,Muhammad ... Applied Sciences 10 (4966), 2020	127	2020
Brain tumor detection based on extreme learning M Sharif, J Amin, M Raza, MA Anjum, H Afzal, SA Shad Neural Computing and Applications 32 (20), 15975-15987, 2020	120	2020
Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features M Rashid, MA Khan, M Sharif, M Raza, MM Sarfraz, F Afza Multimedia Tools and Applications, 1-27, 2018	117	2018
A Survey: Linear and Nonlinear PCA Based Face Recognition Techniques J Shah, M Sharif, M Raza, A Azeem The International Arab Journal of Information Technology (IAJIT) 10 (6), 2013	116	2013
From ECG signals to images: a transformation based approach for deep learning M Naz, JH Shah, MA Khan, M Sharif, M Raza, R Damaševičius PeerJ Computer Science 7, e386, 2021	108	2021
Appearance based pedestrians’ gender recognition by employing stacked auto encoders in deep learning M Raza, M Sharif, M Yasmin, MA Khan, T Saba, SL Fernandes Future Generation Computer Systems 88, 28-39, 2018	107	2018
Fundus image classification methods for the detection of glaucoma: A review T Saba, STF Bokhari, M Sharif, M Yasmin, M Raza Microscopy research and technique 81 (10), 1105-1121, 2018	105	2018

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