An Intelligent Approach to Detect Probe Request Attacks in IEEE 802.11 Networks. - Deepthi N. Ratnayake; Hassan B. Kazemian; Syed A. Yusuf; Azween B. Abdullah (EANN, 2011)

Procedural lot generation for evolutionary urban layout optimization in urban regeneration decision support. - Syed A. Yusuf; Panagiotis Georgakis; Christopher Nwagboso (J. Inf. Technol. Constr., 2011)

Improved Detection of Probe Request Attacks - Using Neural Networks and Genetic Algorithm. - Deepthi N. Ratnayake; Hassan B. Kazemian; Syed A. Yusuf (SECRYPT, 2012)

A pixel-level, intensity-based nonlinear autoregressive classifier (NARX) with chromatic exogenous input for efficient image background subtraction. - Syed A. Yusuf; David J. Brown 002; Alan Mackinnon; Richard Papanicolaou (IJCNN, 2013)

Application of dynamic neural networks with exogenous input to industrial conditional monitoring. - Syed A. Yusuf; David J. Brown 002; Alan Mackinnon; Richard Papanicolaou (IJCNN, 2013)

Corrigendum to "Applications of evolutionary SVM to prediction of membrane alpha-helices" [Expert Systems with Applications 40 (9) (2013) 3412-3420]. - Hassan B. Kazemian; Kenneth White; Dominic Palmer-Brown; Syed Adnan Yusuf (Expert Syst. Appl., 2013)

An ANFIS approach to transmembrane protein prediction. - Hassan B. Kazemian; Syed Adnan Yusuf (FUZZ-IEEE, 2014)

Signal peptide discrimination and cleavage site identification using SVM and NN. - Hassan B. Kazemian; Syed A. Yusuf; Kenneth White (Comput. Biol. Medicine, 2014)

Identification of probe request attacks in WLANs using neural networks. - Deepthi N. Ratnayake; Hassan B. Kazemian; Syed A. Yusuf (Neural Comput. Appl., 2014)

Application of acoustic directional data for audio event recognition via HMM/CRF in perimeter surveillance systems. - Syed A. Yusuf; David J. Brown 002; Alan Mackinnon (Robotics Auton. Syst., 2015)

NN approach and its comparison with NN-SVM to beta-barrel prediction. - Hassan B. Kazemian; Syed Adnan Yusuf; Kenneth White; Cedric Maxime Grimaldi (Expert Syst. Appl., 2016)

CLEverReg: A CNN-LSTM based Linear Regression Technique for Temporal Fire Event Modelling. - Syed Adnan Yusuf; Abdul Samad; David James Garrity (IJCNN, 2019)

An Autoregressive Exogenous Neural Network to Model Fire Behavior via a Naïve Bayes Filter. - Syed Adnan Yusuf; Abdulrahman A. Alshdadi; Rayed AlGhamdi; Madini O. Alassafi; David James Garrity (IEEE Access, 2020)

Predicting catastrophic temperature changes based on past events via a CNN-LSTM regression mechanism. - Syed Adnan Yusuf; Abdulrahman A. Alshdadi; Madini O. Alassafi; Rayed AlGhamdi; Abdul Samad (Neural Comput. Appl., 2021)

Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts. - Syed Adnan Yusuf; Abdulmalik Ali Aldawsari; Riad Souissi (CoRR, 2022)

A Novel Deep Learning Architecture With Image Diffusion for Robust Face Presentation Attack Detection. - Madini O. Alassafi; Muhammad Sohail Ibrahim; Imran Naseem; Rayed AlGhamdi; Reem Alotaibi; Faris A. Kateb; Hadi Oqaibi; Abdulrahman A. Alshdadi; Syed Adnan Yusuf (IEEE Access, 2023)

Real-Time Instance Segmentation Models for Identification of Vehicle Parts. - Abdulmalik Ali Aldawsari; Syed Adnan Yusuf; Riad Souissi; Muhammad Al-Qurishi (Complex., 2023)

Fully supervised contrastive learning in latent space for face presentation attack detection. - Madini O. Alassafi; Muhammad Sohail Ibrahim; Imran Naseem; Rayed AlGhamdi; Reem Alotaibi; Faris A. Kateb; Hadi Oqaibi; Abdulrahman A. Alshdadi; Syed Adnan Yusuf (Appl. Intell., 2023)