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Muhammad Hussain
Muhammad Hussain
Professor, Department of Computer Science, King Saud University
Подтвержден адрес электронной почты в домене ksu.edu.sa - Главная страница
Название
Процитировано
Процитировано
Год
An automated system for epilepsy detection using EEG brain signals based on deep learning approach
IhsanUllah, M Hussain, Emad-ul-HaqQazi, H Aboalsamh
Expert Systems with Applications 107, 61-71, 2018
6062018
YOLO-v1 to YOLO-v8, the rise of YOLO and its complementary nature toward digital manufacturing and industrial defect detection
M Hussain
Machines 11 (7), 677, 2023
5822023
Feature extraction and classification for EEG signals using wavelet transform and machine learning techniques
HU Amin, AS Malik, RF Ahmad, N Badruddin, N Kamel, M Hussain, ...
Australasian physical & engineering sciences in medicine 38, 139-149, 2015
4012015
Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey
N Asiri, M Hussain, FA Adel, N Alzaidi
Artificial Intelligence In Medicine 99, 2019
3012019
Passive copy move image forgery detection using undecimated dyadic wavelet transform
G Muhammad, M Hussain, G Bebis
Digital investigation 9 (1), 49-57, 2012
2852012
Image forgery detection using steerable pyramid transform and local binary pattern
G Muhammad, MH Al-Hammadi, M Hussain, G Bebis
Machine Vision and Applications 25, 985-995, 2014
2432014
Electroencephalogram (EEG)-based computer-aided technique to diagnose major depressive disorder (MDD)
W Mumtaz, L Xia, SSA Ali, MAM Yasin, M Hussain, AS Malik
Biomedical Signal Processing and Control 31, 108-115, 2017
2072017
A comparison of SVM kernel functions for breast cancer detection
M Hussain, SK Wajid, A Elzaart, M Berbar
2011 eighth international conference computer graphics, imaging and …, 2011
1942011
A comprehensive review of phytochemical profile, bioactives for pharmaceuticals, and pharmacological attributes of Azadirachta indica
S Saleem, G Muhammad, MA Hussain, SNA Bukhari
Phytotherapy research 32 (7), 1241-1272, 2018
1922018
Passive detection of image forgery using DCT and local binary pattern
A Alahmadi, M Hussain, H Aboalsamh, G Muhammad, G Bebis, ...
Signal, Image and Video Processing 11, 81-88, 2017
1562017
Copy-move and splicing image forgery detection and localization techniques: a review
K Asghar, Z Habib, M Hussain
Australian Journal of Forensic Sciences 49 (3), 281-307, 2017
1392017
Enhancing SVM performance in intrusion detection using optimal feature subset selection based on genetic principal components
I Ahmad, M Hussain, A Alghamdi, A Alelaiwi
Neural computing and applications 24, 1671-1682, 2014
1282014
Transcriptome reprogramming by cancer exosomes: identification of novel molecular targets in matrix and immune modulation
F Qadir, MA Aziz, CP Sari, H Ma, H Dai, X Wang, D Raithatha, ...
Molecular cancer 17, 1-16, 2018
1182018
P300 correlates with learning & memory abilities and fluid intelligence
HU Amin, AS Malik, N Kamel, WT Chooi, M Hussain
Journal of neuroengineering and rehabilitation 12, 1-14, 2015
1142015
Splicing Image Forgery Detection Based on DCT and Local Binary Pattern
AA Alahmadi, M Hussain, H Aboalsamh, G Muhammad, G Bebis
Global Conference on Signal and Information Processing (GlobalSIP), 2013 …, 2013
1132013
Yolov11: An overview of the key architectural enhancements
R Khanam, M Hussain
arXiv preprint arXiv:2410.17725, 2024
1122024
Yolov1 to v8: Unveiling each variant–a comprehensive review of yolo
M Hussain
IEEE access 12, 42816-42833, 2024
1062024
A comparison of different Gabor feature extraction approaches for mass classification in mammography
S Khan, M Hussain, H Aboalsamh, G Bebis
Multimedia Tools and Applications 76, 33-57, 2017
1052017
Accurate and robust localization of duplicated region in copy–move image forgery
M Jaberi, G Bebis, M Hussain, G Muhammad
Machine vision and applications 25, 451-475, 2014
972014
Gender Stereotyping in Family: An Institutionalized and Normative Mechanism in Pakhtun Society of Pakistan
M Hussain, A Naz, W Khan, U Daraz, Q Khan
Sage Open 5 (3), 2158244015595258, 2015
942015
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