Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Deep learning
Showing results 1 to 16 of 16
| Issue Date | Title | Author(s) |
|---|---|---|
| 2021 | AI based Automated Detection, Measurement and Classification of Pits and Cracks on Rail Axles for Microscopic Visual Inspection in Non-Destructive Testing | Syeda, Juvaria Fatima |
| 2020 | Applications of machine learning to machine fault diagnosis: A review and roadmap | Lei, Y; Yang, B; Jiang, X; Jia, F; Li, N; Nandi, AK |
| 2018 | Artificial intelligence system for continuous affect estimation from naturalistic human expressions | Abd Gaus, Yona Falinie |
| 2017 | Artificial intelligent system for automatic depression level analysis through visual and vocal expressions | Jan, A; Meng, H; Gaus, Y; Zhang, F |
| 2018 | Deep learning in classifying depth of anesthesia (DoA) | AlMeer, MH; Abbod, MF |
| 2015 | Depth-adaptive methodologies for 3D image caregorization. | Kounalakis, Tsampikos |
| 2019 | Detecting defects in PCB using deep learning via convolution neural networks | Adibhatla, VA; Shieh, JS; Abbod, MF; Chih, HC; Hsu, CC; Cheng, J |
| 22-Oct-2020 | Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians in Medical Image Segmentation and Diseases Detection | Ghoshal, B; Tucker, A; Sanghera, B; Wong, WL |
| 2022 | Fast embedding for image classification & retrieval and its application to the hostel industry | Ammatmanee, Chanattra |
| 2020 | Fingers micro-gesture recognition based on holoscopic 3D imaging system | Liu, Yi |
| 7-Jul-2020 | Genetic algorithm-determined deep feedforward neural network architecture for predicting electricity consumption in real buildings | Luo, XJ; Oyedele, LO; Ajayi, AO; Akinade, OO; Delgado, JMD; Owolabi, HA; Ahmed, A |
| 2021 | Holoscopic 3D perception for autonomous vehicles | Cao, Chuqi |
| 11-Jan-2024 | A novel framework for motor bearing fault diagnosis based on multi-transformation domain and multi-source data | Xue, Y; Wen, C; Wang, Z; Liu, W; Chen, G |
| 2020 | Novel particle swarm optimization algorithms with applications to healthcare data analysis | Liu, Weibo |
| 5-Sep-2023 | Reconstruction of decays to merged photons using end-to-end deep learning with domain continuation in the CMS detector | Tumasyan, A; Adam, W; Andrejkovic, JW; Bergauer, T; Chatterjee, S; Damanakis, K; Dragicevic, M; Del Valle, AE; Frühwirth, R; Jeitler, M; Krammer, N; Lechner, L; Liko, D; Mikulec, I; Paulitsch, P; Pitters, FM; Schieck, J; Schöfbeck, R; Schwarz, D; Templ, S; Waltenberger, W; Wulz, CE; Darwish, MR; De Wolf, EA; Janssen, T; Kello, T; Lelek, A; Sfar, HR; Van Mechelen, P; Van Putte, S; Van Remortel, N; Bols, ES; D’Hondt, J; De Moor, A; Delcourt, M; Faham, HE; Lowette, S; Moortgat, S; Morton, A; Müller, D; Sahasransu, AR; Tavernier, S; Van Doninck, W; Vannerom, D; Beghin, D; Clerbaux, B; De Lentdecker, G; Favart, L; Lee, K; Mahdavikhorrami, M; Makarenko, I; Paredes, S; Pétré, L; Popov, A; Postiau, N; Starling, E; Thomas, L; Vanden Bemden, M; Vander Velde, C; Vanlaer, P; Dobur, D; Knolle, J; Lambrecht, L; Mestdach, G; Niedziela, M; Rendón, C; Roskas, C; Samalan, A; Skovpen, K; Tytgat, M; Van Den Bossche, N; Vermassen, B; Wezenbeek, L; Benecke, A; Bethani, A; Bruno, G; Bury, F; Caputo, C; David, P; Delaere, C; Donertas, IS; Giammanco, A; Jaffel, K; Jain, S; Lemaitre, V; Mondal, K; Prisciandaro, J; Taliercio, A; Tran, TT; Vischia, P; Wertz, S; Alves, GA; Hensel, C; Moraes, A; Teles, PR; Júnior, WLA; Pereira, MAG; Filho, MBF; Malbouisson, HB; Carvalho, W |
| 2017 | A survey of deep neural network architectures and their applications | Liu, W; Wang, Z; Liu, X; Zeng, N; Liu, Y; Alsaadi, FE |