Takip et
Mudassar Raza, PhD, SM-IEEE
Mudassar Raza, PhD, SM-IEEE
Prof: Namal University Mianwali, Pakistan. PhD: USTC China
namal.edu.pk üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
2772019
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
2422021
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
2052020
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
2002012
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
1982015
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
1912020
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
1812020
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
1782020
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
1752018
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
1602019
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
1412020
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
1312014
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
1302020
Content Based Image Retrieval: Survey
M Rehman, M Iqbal, M Sharif, M Raza
World Applied Sciences Journal 19 (3), 404-412, 2012
1302012
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
1222020
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
1212013
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
1202018
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
1152021
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
1132018
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
1082018
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