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Dr.Fahad Mazaed Alotaibi
Dr.Fahad Mazaed Alotaibi
استاذ نظم المعلومات كليه الحاسبات وتقنيه المعلومات بجدة
Verified email at kau.edu.sa
Title
Cited by
Cited by
Year
Detection and classification of social media-based extremist affiliations using sentiment analysis techniques
S Ahmad, MZ Asghar, FM Alotaibi, I Awan
Human-centric Computing and Information Sciences 9, 1-23, 2019
2042019
Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making
QN Naveed, MRN Qureshi, N Tairan, AH Mohammad, A Shaikh, ...
Plos one 15 (5), e0231465, 2020
1472020
The key factors in adopting an electronic records management system (ERMS) in the educational sector: a UTAUT-based framework
M Mukred, ZM Yusof, FM Alotaibi, U Asma’Mokhtar, F Fauzi
IEEE Access 7, 35963-35980, 2019
1062019
Online versus classroom teaching for medical students during COVID-19: measuring effectiveness and satisfaction
A AlQhtani, N AlSwedan, A Almulhim, R Aladwan, Y Alessa, K AlQhtani, ...
BMC medical education 21 (1), 452, 2021
1022021
Intelligent hybrid deep learning model for breast cancer detection
X Wang, I Ahmad, D Javeed, SA Zaidi, FM Alotaibi, ME Ghoneim, ...
Electronics 11 (17), 2767, 2022
552022
The role of kinetic envelopes to improve energy performance in buildings
F Alotaibi
Journal of Architectural Engineering Technology 4 (3), 149-153, 2015
552015
Classification of poetry text into the emotional states using deep learning technique
S Ahmad, MZ Asghar, FM Alotaibi, S Khan
IEEE Access 8, 73865-73878, 2020
542020
Ensuring the productivity of higher learning institutions through electronic records management system (ERMS)
M Mukred, ZM Yusof, FM Alotaibi
IEEE Access 7, 97343-97364, 2019
362019
Classifying text-based emotions using logistic regression
FM Alotaibi
VAWKUM Transactions on Computer Sciences 7 (1), 31-37, 2019
352019
Applying deep learning technique for depression classification in social media text
H Ahmad, MZ Asghar, FM Alotaibi, IA Hameed
Journal of Medical Imaging and Health Informatics 10 (10), 2446-2451, 2020
342020
Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage
J Wang, AH Omar, FM Alotaibi, YI Daradkeh, SA Althubiti
Information Processing & Management 59 (6), 103075, 2022
332022
A hybrid CNN-LSTM model for psychopathic class detection from tweeter users
FM Alotaibi, MZ Asghar, S Ahmad
Cognitive Computation 13 (3), 709-723, 2021
242021
A hybrid CNN+ BILSTM deep learning-based DSS for efficient prediction of judicial case decisions
S Ahmad, MZ Asghar, FM Alotaibi, YD Al-Otaibi
Expert Systems with Applications 209, 118318, 2022
162022
RBF-based local meshless method for fractional diffusion equations
M Irfan, FM Alotaibi, S Haque, N Mlaiki, K Shah
Fractal and Fractional 7 (2), 143, 2023
152023
A novel forensic readiness framework applicable to the drone forensics field
FM Alotaibi, A Al-Dhaqm, YD Al-Otaibi
Computational Intelligence and Neuroscience 2022, 2022
152022
A comprehensive collection and analysis model for the drone forensics field
FM Alotaibi, A Al-Dhaqm, YD Al-Otaibi, AA Alsewari
Sensors 22 (17), 6486, 2022
142022
Converging alfalfa (Medicago sativa L.) and petroleum hydrocarbon acclimated ACC-deaminase containing bacteria for phytoremediation of petroleum …
HM Rafique, MY Khan, HN Asghar, Z Ahmad Zahir, SM Nadeem, ...
International Journal of Phytoremediation 25 (6), 717-727, 2023
132023
Potential of plant growth promoting bacterial consortium for improving the growth and yield of wheat under saline conditions
MY Khan, SM Nadeem, M Sohaib, MR Waqas, F Alotaibi, L Ali, ZA Zahir, ...
Frontiers in microbiology 13, 958522, 2022
122022
Investigating the business intelligence capabilities’ and network learning effect on the data mining for start-up's function
Y Xu, X Li, F bin Mustakim, FM Alotaibi, NN Abdullah
Information Processing & Management 59 (5), 103055, 2022
122022
Diagnosis of cardiovascular disease using deep learning technique
S Ahmad, MZ Asghar, FM Alotaibi, YD Alotaibi
Soft Computing 27 (13), 8971-8990, 2023
102023
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