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 regression
Showing results 1 to 10 of 10
| Issue Date | Title | Author(s) |
| 31-Oct-2017 | Artificial neural network and regression modelling to study the effect of reinforcement and deformation on volumetric wear of red mud nano particle reinforced aluminium matrix composites synthesized by stir casting | Satyanarayana, G; Swami Naidu, G; Hari Babu, N |
| 1-Feb-2019 | A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing | Papananias, M; McLeay, TE; Mahfouf, M; Kadirkamanathan, V |
| 2005 | The consistency of empirical comparisons of regression and analogy-based software project cost prediction | Mair, CM; Shepperd, M J |
| 19-Apr-2021 | Degree and noise power estimation from noisy polynomial data via AR modelling | Nandi, AK |
| 4-Feb-2022 | Explainable AI techniques with application to NBA gameplay prediction | Wang, Y; Liu, W; Liu, X |
| 2020 | Model order selection from noisy polynomial data without using any polynomial coefficients | Nandi, A |
| 4-Apr-2024 | Normalizing flow based uncertainty estimation for deep regression analysis | Zhang, B; Sui, W; Huang, Z; Li, M; Qi, M |
| 26-Oct-2020 | Optimizing Laboratory Investigations of Saline Intrusion by Incorporating Machine Learning Techniques | Etsias, G; Hamill, GA; Benner, EM; Águila, JF; McDonnell, MC; Flynn, R; Ahmed, AA |
| 5-Mar-2025 | Prediction of Diabetes Using Statistical and Machine Learning Modelling Techniques | Almutairi, E; Abbod, M; Hunaiti, Z |
| 12-Nov-2018 | Transfer learning-based online multiperson tracking with Gaussian process regression | Zhang, B; Li, S; Huang, Z; Rahi, BH; Wang, Q; Li, M |
