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 |