Stebėti
Sultan Aljahdali
Sultan Aljahdali
Professor of Computer Science, Taif University, Saudi Arabia
Patvirtintas el. paštas tu.edu.sa - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Prediction of software reliability: A comparison between regression and neural network non-parametric models
SH Aljahdali, A Sheta, D Rine
Proceedings ACS/IEEE International Conference on Computer Systems and …, 2001
1052001
A comparative analysis of machine learning algorithms to predict alzheimer's disease
MB Antor, AHMS Jamil, M Mamtaz, MM Khan, S Aljahdali, M Kaur, ...
Journal of Healthcare Engineering 2021, 2021
992021
Comparative prediction performance with support vector machine and random forest classification techniques
S Aljahdali, SN Hussain
International journal of computer applications 69 (11), 2013
702013
A kernelized fuzzy c-means algorithm for automatic magnetic resonance image segmentation
EA Zanaty, S Aljahdali, N Debnath
Journal of Computational Methods in Sciences and Engineering 9 (s2), S123-S136, 2009
582009
Software effort estimation by tuning COOCMO model parameters using differential evolution
S Aljahdali, AF Sheta
ACS/IEEE International Conference on Computer Systems and Applications …, 2010
512010
Web mining techniques in e-commerce applications
AT Siddiqui, S Aljahdali
arXiv preprint arXiv:1311.7388, 2013
492013
A smart stick for assisting blind people
A Anwar, S Aljahdali
IOSR Journal of Computer Engineering 19 (3), 86-90, 2017
422017
Software reliability prediction using multi-objective genetic algorithm
SH Aljahdali, ME El-Telbany
2009 IEEE/ACS International Conference on Computer Systems and Applications …, 2009
412009
Robust sliding-backstepping mode control of a wind system based on the DFIG generator
F Echiheb, Y Ihedrane, B Bossoufi, M Bouderbala, S Motahhir, M Masud, ...
Scientific reports 12 (1), 11782, 2022
362022
Genetic algorithms: a tool for image segmentation
A Sheta, MS Braik, S Aljahdali
2012 international conference on multimedia computing and systems, 84-90, 2012
362012
Explainable AI in diagnosing and anticipating leukemia using transfer learning method
WH Abir, MF Uddin, FR Khanam, T Tazin, MM Khan, M Masud, S Aljahdali
Computational Intelligence and Neuroscience 2022, 2022
352022
Software effort estimation inspired by COCOMO and FP models: A fuzzy logic approach
AF Sheta, S Aljahdali
International Journal of Advanced Computer Science and Applications 4 (11), 2013
352013
Tapered beamforming for concentric ring arrays
M Nofal, S Aljahdali, Y Albagory
AEU-International Journal of Electronics and Communications 67 (1), 58-63, 2013
352013
Deep learning based automated detection of diseases from Apple leaf images.
S Singh, I Gupta, S Gupta, D Koundal, S Aljahdali, S Mahajan, AK Pandit
Computers, Materials & Continua 71 (1), 2022
342022
Fog-oriented secure and lightweight data aggregation in iomt
M Azeem, A Ullah, H Ashraf, NZ Jhanjhi, M Humayun, S Aljahdali, ...
IEEE Access 9, 111072-111082, 2021
332021
A dedicated web-based learning system
S Ghoniemy, A Fahmy, S Aljahdali
Universal Journal of Computer Science and Engineering Technology 1 (2), 84-92, 2010
312010
Predicting Accumulated Faults in Software Testing Process Using Radial Basis Function Network Models.
S Aljahdali, AF Sheta, D Rine
CATA, 26-29, 2002
312002
Cataract disease detection by using transfer learning-based intelligent methods
MK Hasan, T Tanha, MR Amin, O Faruk, MM Khan, S Aljahdali, M Masud
Computational and Mathematical Methods in Medicine 2021, 2021
302021
Employing four ANNs paradigms for software reliability prediction: an analytical study
SH Aljahdali, KA Buragga
ICGST-AIML Journal, ISSN, 1687-4846, 2008
302008
Research and development of an iot-based remote asthma patient monitoring system
SR Anan, MA Hossain, MZ Milky, MM Khan, M Masud, S Aljahdali
Journal of Healthcare Engineering 2021, 2021
292021
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Straipsniai 1–20