| Issue Date | Title | Author(s) |
| 2013 | Artificial neural networks for controlling the temperature of internally cooled turning tools | Wardle, F; Minton, T; Ghani, SBC; Fϋrstmann, P; Roeder, M; Richarz, S; Sammler, F |
| 2017 | Big data analysis of emergency medical service applied to determine the survival rate effective factors and predict the ambulance time variables | Shieh, JS; Yeh, YT; Sun, YZ; Ma, MH; Dia, CY; Sadrawi, M; Abbod, M |
| 2025 | Data-driven modelling of nitrous oxide production in wastewater treatment processes using neural ordinary differential equations | Huang, Xiangjun |
| 1997 | A fibre optic sensor for the measurement of surface roughness and displacement using artificial neural networks | Zhang, K; Butler, C; Yang, QP; Lu, Y |
| 2015 | Granular computing approach for the design of medical data classification systems | Al-Shammaa, M; Abbod, MF |
| 2013 | Hip fracture risk assessment: Artificial neural network outperforms conditional logistic regression in an age- and sex-matched case control study | Tseng, W-J; Hung, L-W; Shieh, J-S; Abbod, MF; Lin, J |
| 2017 | HRV-derived data similarity and distribution index based on ensemble neural network for measuring depth of anaesthesia | Liu, Q; Chiu, R; Fan, S; Abbod, M; shieh, J |
| 2016 | Intelligent mobile ad hoc network management system | Bait Ali Sulaiman, Majdi Mohammed Said |
| 2015 | A novel hybrid ensemble model to predict FTSE100 index by combining neural network and EEMD | Al-Hnaity, B; Abbod, M |
| 2016 | Quantile autoregression neural network model with applications to evaluating value at risk | Xu, Q; Liu, X; Jiang, C; Yu, K |
| 2020 | Using Artificial Neural Network to Predict a Variety of Pathogenic Microorganisms | Liao, Y-H; Yu, Y-N; Abbod, M; Shih, C-H; Shieh, J-S |
