1. Brunel University Research Archive

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Results 1-10 of 25 (Search time: 0.034 seconds).
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Issue DateTitleAuthor(s)
2020An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich's Ataxia patientsYue, W; Wang, Z; Liu, W; Tian, B; Lauria, S; Liu, X
2-Apr-2020A Hybrid Model- And Memory-Based Collaborative Filtering Algorithm for Baseline Data Prediction of Friedreich's Ataxia PatientsYue, W; Wang, Z; Tian, B; Pook, M; Liu, X
8-Jan-2021Set-Membership Filtering Subject to Impulsive Measurement Outliers: A Recursive AlgorithmZou, L; Wang, Z; Geng, H; Liu, X
19-Feb-2021An Overview of Recommendation Techniques and Their Applications in HealthcareYue, W; Wang, Z; Zhang, J; Liu, X
6-Mar-2021A PSO-based deep learning approach to classifying patients from emergency departmentsLiu, W; Wang, Z; Zeng, N; Alsaadi, FE; Liu, X
29-Jul-2021An improved generative adversarial network with modified loss function for crack detection in electromagnetic nondestructive testingTian, L; Wang, Z; Liu, W; Cheng, Y; Alsaadi, FE; Liu, X
25-Jun-2021Multi-task Pruning via Filter Index Sharing: A Many-Objective Optimization ApproachCheng, H; Wang, Z; Ma, L; Liu, X; Wei, Z
5-May-2021Melt pool segmentation for additive manufacturing: A generative adversarial network approachLiu, W; Wang, Z; Tian, L; Lauria, S; Liu, X
19-Aug-2020Nonfragile H<inf>∞</inf>State Estimation for Recurrent Neural Networks with Time-Varying Delays: On Proportional-Integral Observer DesignZhao, D; Wang, Z; Wei, G; Liu, X
4-Sep-2021A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging TestsTian, L; Wang, Z; Liu, W; Cheng, Y; Alsaadi, FE; Liu, X

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