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ORCIDSyed A. Yusuf
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2020 – today
- 2023
[j11]Madini O. Alassafi
, Muhammad Sohail Ibrahim, Imran Naseem, Rayed AlGhamdi, Reem Alotaibi, Faris A. Kateb, Hadi Oqaibi, Abdulrahman A. Alshdadi, Syed Adnan Yusuf:
A Novel Deep Learning Architecture With Image Diffusion for Robust Face Presentation Attack Detection. IEEE Access 11: 59204-59216 (2023)- [j10]Madini O. Alassafi, Muhammad Sohail Ibrahim, Imran Naseem, Rayed AlGhamdi, Reem Alotaibi, Faris A. Kateb, Hadi Oqaibi, Abdulrahman A. Alshdadi, Syed Adnan Yusuf:
Fully supervised contrastive learning in latent space for face presentation attack detection. Appl. Intell. 53(19): 21770-21787 (2023) - [j9]Abdulmalik Ali Aldawsari, Syed Adnan Yusuf, Riad Souissi, Muhammad Al-Qurishi:
Real-Time Instance Segmentation Models for Identification of Vehicle Parts. Complex. 2023: 6460639:1-6460639:16 (2023) - 2022
- [i1]Syed Adnan Yusuf, Abdulmalik Ali Aldawsari, Riad Souissi:
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts. CoRR abs/2202.00884 (2022) - 2021
- [j8]Syed Adnan Yusuf, Abdulrahman A. Alshdadi, Madini O. Alassafi, Rayed AlGhamdi, Abdul Samad:
Predicting catastrophic temperature changes based on past events via a CNN-LSTM regression mechanism. Neural Comput. Appl. 33(15): 9775-9790 (2021) - 2020
- [j7]Syed Adnan Yusuf, Abdulrahman A. Alshdadi, Rayed AlGhamdi, Madini O. Alassafi, David James Garrity:
An Autoregressive Exogenous Neural Network to Model Fire Behavior via a Naïve Bayes Filter. IEEE Access 8: 98281-98294 (2020)
2010 – 2019
- 2019
- [c6]Syed Adnan Yusuf, Abdul Samad, David James Garrity:
CLEverReg: A CNN-LSTM based Linear Regression Technique for Temporal Fire Event Modelling. IJCNN 2019: 1-7 - 2016
- [j6]Hassan B. Kazemian, Syed Adnan Yusuf, Kenneth White, Cedric Maxime Grimaldi:
NN approach and its comparison with NN-SVM to beta-barrel prediction. Expert Syst. Appl. 61: 203-214 (2016) - 2015
- [j5]Syed A. Yusuf, David J. Brown, Alan Mackinnon:
Application of acoustic directional data for audio event recognition via HMM/CRF in perimeter surveillance systems. Robotics Auton. Syst. 72: 15-28 (2015) - 2014
- [j4]Hassan B. Kazemian, Syed A. Yusuf, Kenneth White:
Signal peptide discrimination and cleavage site identification using SVM and NN. Comput. Biol. Medicine 45: 98-110 (2014) - [j3]Deepthi N. Ratnayake, Hassan B. Kazemian, Syed A. Yusuf:
Identification of probe request attacks in WLANs using neural networks. Neural Comput. Appl. 25(1): 1-14 (2014) - [c5]Hassan B. Kazemian, Syed Adnan Yusuf:
An ANFIS approach to transmembrane protein prediction. FUZZ-IEEE 2014: 1360-1365 - 2013
- [j2]Hassan B. Kazemian, Kenneth White, Dominic Palmer-Brown, Syed Adnan Yusuf:
Corrigendum to "Applications of evolutionary SVM to prediction of membrane alpha-helices" [Expert Systems with Applications 40 (9) (2013) 3412-3420]. Expert Syst. Appl. 40(16): 6690 (2013) - [c4]Syed A. Yusuf, David J. Brown, Alan Mackinnon, Richard Papanicolaou:
A pixel-level, intensity-based nonlinear autoregressive classifier (NARX) with chromatic exogenous input for efficient image background subtraction. IJCNN 2013: 1-8 - [c3]Syed A. Yusuf, David J. Brown, Alan Mackinnon, Richard Papanicolaou:
Application of dynamic neural networks with exogenous input to industrial conditional monitoring. IJCNN 2013: 1-8 - 2012
- [c2]Deepthi N. Ratnayake, Hassan B. Kazemian, Syed A. Yusuf:
Improved Detection of Probe Request Attacks - Using Neural Networks and Genetic Algorithm. SECRYPT 2012: 345-350 - 2011
- [j1]Syed A. Yusuf, Panagiotis Georgakis, Christopher Nwagboso:
Procedural lot generation for evolutionary urban layout optimization in urban regeneration decision support. J. Inf. Technol. Constr. 16: 357-380 (2011) - [c1]Deepthi N. Ratnayake, Hassan B. Kazemian, Syed A. Yusuf, Azween B. Abdullah:
An Intelligent Approach to Detect Probe Request Attacks in IEEE 802.11 Networks. EANN/AIAI (1) 2011: 372-381
Coauthor Index
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