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 machine learning
Showing results 1 to 20 of 93
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| Issue Date | Title | Author(s) |
|---|---|---|
| 19-Dec-2019 | 5MART: A 5G SMART Scheduling Framework for Optimizing QoS through Reinforcement Learning | Comsa, IS; Trestian, R; Muntean, GM; Ghinea, G |
| 26-Oct-2019 | An AI Driven Real-time 3-D Representation of an Off-shore WT for Fault Diagnosis and Monitoring | Amini, A; Kanfound, J; Gan, T-H |
| 2-Apr-2024 | AI is a viable alternative to high throughput screening: a 318-target study | Wallach, I; Bernard, D; Nguyen, K; Ho, G; Morrison, A; Stecula, A; Rosnik, A; O’Sullivan, AM; Davtyan, A; Samudio, B; Thomas, B; Rangarajan, AV; Matheeussen, A; Battistoni, A; Caporali, A; Chini, A; Ilari, A; Mattevi, A; Foote, AT; Trabocchi, A; Stahl, A; Herr, AB; Berti, A; Freywald, A; Reidenbach, AG; Lam, A; Cuddihy, AR; White, A; Taglialatela, A; Gadar, K; McCarthy, RR; Worley, B; Butler, B; Laggner, C; Thayer, D; Moharreri, E; Friedland, G; Truong, H; van den Bedem, H; Ng, HL; Stafford, K; Sarangapani, K; Giesler, K; Ngo, L; Mysinger, M; Ahmed, M; Anthis, NJ; Henriksen, N; Gniewek, P; Eckert, S; de Oliveira, S; Suterwala, S; PrasadPrasad, SVK; Shek, S; Contreras, S; Hare, S; Palazzo, T; O’Brien, TE; Van Grack, T; Williams, T; Chern, TR; Kenyon, V; Lee, AH; Cann, AB; Bergman, B; Anderson, BM; Cox, BD; Warrington, JM; Sorenson, JM; Goldenberg, JM; Young, MA; DeHaan, N; Pemberton, RP; Schroedl, S; Abramyan, TM; Gupta, T; Mysore, V; Presser, AG; Ferrando, AA; Andricopulo, AD; Ghosh, A; Ayachi, AG; Mushtaq, A; Shaqra, AM; Toh, AKL; Smrcka, AV; Ciccia, A; de Oliveira, AS; Sverzhinsky, A; de Sousa, AM; Agoulnik, AI; Kushnir, A; Freiberg, AN; Statsyuk, AV; Gingras, AR; Degterev, A; Tomilov, A; Vrielink, A; Garaeva, AA; Bryant-Friedrich, A; Caflisch, A; Patel, AK |
| 19-Apr-2023 | Application of deep learning to support peak picking during non-target high resolution mass spectrometry workflows in environmental research | Mottershead, K; Miller, TH |
| 16-Dec-2019 | Artificial Intelligence and Machine Learning as business tools: a framework for diagnosing value destruction potential | Canhoto, AI; Clear, F |
| 5-Oct-2021 | Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges | Abioye, SO; Oyedele, LO; Akanbi, L; Ajayi, A; Davila Delgado, JM; Bilal, M; Akinade, OO; Ahmed, A |
| 4-Dec-2021 | Artificial Intelligent Techniques for Solar Energy Generation & Household Load Forecasting | Li, Z; Lai, CS; Meng, A; Li, X; Vaccaro, A; Lai, LL |
| 6-Apr-2022 | Autonomous flying IoT: A synergy of machine learning, digital elevation, and 3D structure change detection | Almalki, FA; Angelides, MC |
| 16-Dec-2020 | Biomarker CA125 Feature Engineering and Class Imbalance Learning Improves Ovarian Cancer Prediction | Yang, X; Khushi, M; Shaukat, K |
| 29-Mar-2022 | Boosting Iris Recognition by Margin-Based Loss Functions | Alinia Lat, R; Danishvar, S; Heravi, H; Danishvar, M |
| 7-Oct-2023 | CEO risk-culture, bank stability and the case of the Silicon Valley Bank | Semeyutin, A; Kaawach, S; Kara, A |
| 18-Aug-2021 | Characterising Alzheimer’s Disease With EEG-Based Energy Landscape Analysis | Klepl, D; He, F; Wu, M; De Marco, M; Blackburn, D; Sarrigiannis, PG |
| 16-Aug-2019 | Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast | Coutant, A; Roper, K; Trejo-Banos, D; Bouthinon, D; Carpenter, M; Grzebyta, J; Santini, G; Soldano, H; Elati, M; Ramon, J; Rouveirol, C; Soldatova, LN; King, RD |
| 15-Mar-2021 | A comparative analysis of active learning for biomedical text mining | Naseem, U; Khushi, M; Khan, SK; Shaukat, K; Moni, MA |
| 10-May-2024 | A Comparative Analysis of Advanced Machine Learning Techniques for River Streamflow Time-Series Forecasting | Abdoulhalik, A; Ahmed, AA |
| 24-Nov-2023 | Comparing Machine Learning and Deep Learning Techniques for Text Analytics: Detecting the Severity of Hate Comments Online | Marshan, A; Mohamed Nizar, FN; Ioannou, A; Spanaki, K |
| 13-Jun-2023 | Complete revascularization is associated with higher mortality in patients with ST-elevation myocardial infarction, multi-vessel disease and shock defined by hyperlactataemia: results from the Harefield Shock Registry incorporating explainable machine learning | Tindale, A; Cretu, I; Meng, H; Panoulas, V |
| 19-Oct-2023 | Constructing training set using distance between learnt graphical models of time series data on patient physiology, to predict disease score | Chakrabarty, D; Wang, K; Roy, G; Bhojgaria, A; Zhang, C; Pavlu, J; Chakrabartty, J |
| 20-Jan-2022 | Credit card fraud detection using a hierarchical behavior-knowledge space model | Nandi, AK; Randhawa, KK; Chua, HS; Seera, M; Lim, CP |
| 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 |