Showing results 14394 to 14413 of 26990
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| Issue Date | Title | Author(s) |
| 1-Dec-2019 | ‘[M]istris Drewry,/ You do not well’: The Gossip as an Ill-Doer in A Warning for Fair Women (1599) | Sheeha, I |
| 2013 | MAC-REALM: A video content feature extraction and modelling framework | Parmar, Minaz |
| 2015 | MAC-REALM: A Video Content Feature Extraction and Modelling Framework | Parmar, M; Angelides, MC |
| 2014 | Machiavelli and constituent power: the revolutionary foundation of modern political thought | Del Lucchese, F |
| 8-Mar-2022 | Machine Learning Algorithms for Flow Pattern Classification in Pulsating Heat Pipes | Loyola-Fuentes, J; Pietrasanta, L; Marengo, M; Coletti, F |
| 3-Jan-2020 | Machine Learning and Digital Heritage: The CEPROQHA Project Perspective | Belhi, A; Gasmi, H; Bouras, A; Alfaqheri, T; Aondoakaa, AS; Sadka, AH; Foufou, S |
| 4-Apr-2022 | Machine learning application in personalised lung cancer recurrence and survivability prediction | Yang, Y; Xu, L; Sun, L; Zhang, P; Farid, SS |
| 2021 | A Machine Learning Approach for Micro-Credit Scoring | Date, P; Ampountolas, A; Constantinescu, C; Nyarko Nde, T |
| 2019 | A Machine Learning Approach to Evolving an Optimal Propagation Model for Last Mile Connectivity using Low Altitude Platforms | Angelides, MC; Almalki, FA |
| 14-Aug-2023 | A machine learning approach to the prediction of heat transfer coefficients in microchannels | Traverso, T; Coletti, F; Magri, L; Karayiannis, TG; Matar, OK |
| 6-Oct-2022 | A Machine Learning Based Model for Monitoring of Composites' Drilling-Induced Defects During Assembly Production Using Terahertz Imaging Data | Amini, A; Gan, TH |
| 24-Jul-2023 | Machine Learning for Alzheimer’s Disease and Related Dementias | Modat, M; Bocchetta, M; Dos Santos Canas, L; Cash, D; Ourselin, S |
| 5-Oct-2020 | Machine learning for BMS analysis and optimisation | Mesa-Jiménez, JJ; Stokes, L; Yang, Q; Livina, VN |
| 12-May-2022 | Machine learning for text classification in building management systems | Mesa-Jiménez, JJ; Stokes, L; Yang, Q; Livina, VN |
| 13-Oct-2018 | Machine Learning for the prediction of the dynamic behavior of a small scale ORC system | Palagi, L; Pesyridis, A; Sciubba, E; Tocci, L |
| 2019 | Machine Learning Methods Applied to Predict Ventilator-Associated Pneumonia with Pseudomonas aeruginosa Infection via Sensor Array of Electronic Nose in Intensive Care Unit | Liao, Y-H; Wang, Z-C; Zhang, F-G; Abbod, MF; Shih, C-H; Shieh, J-S |
| 25-Jan-2023 | Machine learning methods for diabetes prevalence classification in Saudi Arabia | Almutairi, E; Abbod, M |
| 2010 | Machine learning paradigms for modeling spatial and temporal information in multimedia data mining | Bouchaffra, D; Amira, A; Zhu, C; Chen, CS |
| 2010 | Machine learning paradigms for modeling spatial and temporal information in multimedia data mining | Bouchaffra, D; Amira, A; Zhu, C; Chen, CS |
| 12-Apr-2021 | Machine Learning Prediction of Allosteric Drug Activity from Molecular Dynamics | Marchetti, F; Moroni, E; Pandini, A; Colombo, G |
