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.
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Showing results 4746 to 4765 of 26972
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| Issue Date | Title | Author(s) |
|---|---|---|
| 2017 | Data-driven agent-based exploration of customer behavior | Bell, D; Mgbemena, C |
| 2019 | A data-driven approach for electricity load profile prediction of new supermarkets | Granell, R; Axon, CJ; Kolokotroni, M; Wallom, DCH |
| 2019 | A data-driven approach for electricity load profile prediction of new supermarkets | Granell, R; Axon, CJ; Kolokotroni, M; Wallom, DCH |
| 2016 | Data-driven Customer Behaviour Model Generation for Agent Based Exploration | Bell, DJ; Mgbemena, C |
| 11-Apr-2022 | A data-driven disease progression model of fluid biomarkers in genetic frontotemporal dementia | Van Der Ende, EL; Bron, EE; Poos, JM; Jiskoot, LC; Panman, JL; Papma, JM; Meeter, LH; Dopper, EGP; Wilke, C; Synofzik, M; Heller, C; Swift, IJ; Sogorb-Esteve, A; Bouzigues, A; Borroni, B; Sanchez-Valle, R; Moreno, F; Graff, C; Laforce, R; Galimberti, D; Masellis, M; Tartaglia, MC; Finger, E; Vandenberghe, R; Rowe, JB; De Mendoncą, A; Tagliavini, F; Santana, I; Ducharme, S; Butler, CR; Gerhard, A; Levin, J; Danek, A; Otto, M; Pijnenburg, YAL; Sorbi, S; Zetterberg, H; Niessen, WJ; Rohrer, JD; Klein, S; Van Swieten, JC; Venkatraghavan, V; Seelaar, H; Afonso, S; Almeida, MR; Anderl-Straub, S; Andersson, C; Antonell, A; Archetti, S; Arighi, A; Balasa, M; Barandiaran, M; Bargalló, N; Bartha, R; Bender, B; Benussi, A; Benussi, L; Bessi, V; Binetti, G; Black, S; Bocchetta, M; Borrego-Ecija, S; Bras, J; Bruffaerts, R; Canãda, M; Cantoni, V; Caroppo, P; Cash, D; Castelo-Branco, M; Convery, R; Cope, T; Di Fede, G; Diéz, A; Duro, D; Fenoglio, C; Ferrari, C; Ferreira, CB; Fox, N; Freedman, M; Fumagalli, G; Gabilondo, A; Gasparotti, R; Gauthier, S; Gazzina, S; Giaccone, G; Gorostidi, A; Greaves, C; Guerreiro, R; Hoegen, T; Indakoetxea, B; Jelic, V; Karnath, HO; Keren, R; Langheinrich, T; Leitaõ, MJ; Lladó, A; Lombardi, G; Loosli, S; Maruta, C; Mead, S |
| 8-Sep-2021 | Data-driven Dynamical Control for Bottom-up Energy Internet System | Hua, H; Qin, Z; Dong, N; Qin, Y; Ye, M; Wang, Z; Chen, X; Cao, J |
| 2015 | Data-driven estimation of neutral pileup particle multiplicity in high-luminosity hadron collider environments | Colecchia, F |
| 2016 | A data-driven framework for investigating customer retention | Mgbemena, Chidozie Simon |
| 17-Dec-2022 | A Data-driven Latent Semantic Analysis for Automatic Text Summarization using LDA Topic Modelling | Onah, DFO; Pang, ELL; El-Haj, M |
| 28-Jul-2022 | Data-driven learning of narcosis mode of action identifies a CNS transcriptional signature shared between whole organism Caenorhabditis elegans and a fish gill cell line | Brockmeier, EK; Basili, D; Herbert, J; Rendal, C; Boakes, L; Grauslys, A; Taylor, NS; Danby, EB; Gutsell, S; Kanda, R; Cronin, M; Barclay, J; Antczak, P; Viant, MR; Hodges, G; Falciani, F |
| 2016 | A Data-driven Methodology for Agent Based Exploration of Customer Retention | Mgbemena, C; Bell, D; Saleh, N |
| 14-Apr-2022 | A data-driven model of brain volume changes in progressive supranuclear palsy | Scotton, WJ; Bocchetta, M; Todd, E; Cash, DM; Oxtoby, N; Vandevrede, L; Heuer, H; Alexander, DC; Rowe, JB; Morris, HR; Boxer, A; Rohrer, JD; Wijeratne, PA |
| 27-Nov-2019 | A data-driven optimization of large-scale dry port locations using the hybrid approach of data mining and complex network theory | Nguyen, TV |
| 3-Feb-2022 | Data-driven staging of genetic frontotemporal dementia using multi-modal MRI | McCarthy, J; Borroni, B; Sanchez-Valle, R; Moreno, F; Laforce, R; Graff, C; Synofzik, M; Galimberti, D; Rowe, JB; Masellis, M; Tartaglia, MC; Moore, KM; Nacmias, B; Neason, M; Finger, E; Vandenberghe, R; de Mendonça, A; Tagliavini, F; Santana, I; Butler, C; Gerhard, A; Danek, A; Levin, J; Otto, M; Frisoni, G; Ghidoni, R; Sorbi, S; Jiskoot, LC; Seelaar, H; van Swieten, JC; Rohrer, JD; Iturria-Medina, Y; Ducharme, S; Afonso, S; Almeida, MR; Anderl-Straub, S; Andersson, C; Antonell, A; Archetti, S; Arighi, A; Balasa, M; Barandiaran, M; Bargalló, N; Bartha, R; Bender, B; Benussi, A; Benussi, L; Bessi, V; Binetti, G; Black, S; Bocchetta, M; Borrego-Ecija, S; Bras, J; Bruffaerts, R; Cañada, M; Cantoni, V; Caroppo, P; Cash, D; Castelo-Branco, M; Convery, R; Cope, T; Cosseddu, M; de Arriba, M; Di Fede, G; Díaz, Z; Díez, A; Duro, D; Fenoglio, C; Ferrari, C; Ferreira, C; Ferreira, CB; Flanagan, T; Fox, N; Freedman, M; Fumagalli, G; Gabilondo, A; Gasparotti, R; Gauthier, S; Gazzina, S; Giaccone, G; Gorostidi, A; Greaves, C; Guerreiro, R; Heller, C; Hoegen, T; Indakoetxea, B; Jelic, V; Karnath, HO; Keren, R; Langheinrich, T; Leitão, MJ; Lladó, A; Lombardi, G; Loosli, S; Maruta, C; Mead, S; Meeter, L; Miltenberger, G; van Minkelen, R; Mitchell, S |
| 28-Jun-2020 | Data-driven versus conventional N<inf>2</inf>O EF quantification methods in wastewater; how can we quantify reliable annual EFs? | Vasilaki, V; Danishvar, S; Mousavi, A; Katsou, E |
| 15-Dec-2022 | Data-Efficient Estimation of Remaining Useful Life for Machinery with a Limited Number of Run-to-Failure Training Sequences | Kalganova, T; Sternharz, G; Elhalwagy, A |
| 2013 | 'Datafication': Making sense of (big) data in a complex world | Lycett, M |
| 23-Oct-2023 | A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets | Elhalwagy, A; Kalganova, T |
| 26-Jan-2019 | Davos and 'capitalist time' | Dale, G |
| 2018 | The day of the week effect in the cryptocurrency market | Caporale, GM; Plastun, A |