Searched for: subject%3A%22machine%255C%252Blearning%22
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Hadjisotiriou, George (author), Mansour Pour, K. (author), Voskov, D.V. (author)
In this study, we utilize deep neural networks to approximate operators of a nonlinear partial differential equation (PDE), within the Operator-Based Linearization (OBL) simulation framework, and discover the physical space for a physics-based proxy model with reduced degrees of freedom. In our methodology, observations from a high-fidelity...
conference paper 2023
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Al-Sabaeei, Abdulnaser M. (author), Alhussian, Hitham (author), Abdulkadir, Said Jadid (author), Giustozzi, Filippo (author), Napiah, Madzlan (author), Jagadeesh, A. (author), Sutanto, Muslich (author), Memon, Abdul Muhaimin (author)
The optimization of energy consumption during asphalt mixture production and compaction is a challenge in producing durable, sustainable, and environmentally friendly asphalt products. This study investigated the effects of crude palm oil (CPO) and/or tire pyrolysis oil (TPO) on shear viscosity and mixing and compaction temperatures of...
journal article 2023
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Varouchakis, Emmanouil A. (author), Solomatine, D.P. (author), Corzo Perez, Gerald A. (author), Jomaa, Seifeddine (author), Karatzas, George P. (author)
Successful modelling of the groundwater level variations in hydrogeological systems in complex formations considerably depends on spatial and temporal data availability and knowledge of the boundary conditions. Geostatistics plays an important role in model-related data analysis and preparation, but has specific limitations when the aquifer...
journal article 2023
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Sun, Yubo (author), Cheng, H. (author), Zhang, Shizhe (author), Mohan, Manu K. (author), Ye, G. (author), De Schutter, Geert (author)
Alkali-activated concrete (AAC) is regarded as a promising alternative construction material to reduce the CO<sub>2</sub> emission induced by Portland cement (PC) concrete. Due to the diversity in raw materials and complexity of reaction mechanisms, a commonly applied design code is still absent to date. This study attempts to directly...
journal article 2023
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Tepeli, Y.I. (author), Seale, C.F. (author), P. Gonçalves, Joana (author)
Motivation<br/><br/>Anti-cancer therapies based on synthetic lethality (SL) exploit tumour vulnerabilities for treatment with reduced side effects, by targeting a gene that is jointly essential with another whose function is lost. Computational prediction is key to expedite SL screening, yet existing methods are vulnerable to prevalent selection...
journal article 2023
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Aleebrahimdehkordi, M. (author), Lechner, J.M. (author), Ghorbani, Amineh (author), Nikolic, I. (author), Chappin, E.J.L. (author), Herder, P.M. (author)
Agent-based modelling and simulation (ABMS), whether simple toy models or complex data-driven ones, is regularly applied in various domains to study the system-level patterns arising from individual behaviour and interactions. However, ABMS still faces diverse challenges such as modelling more representative agents or improving computational...
journal article 2023
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Zhang, Lanxin (author), Dong, Y. (author), Farah, H. (author), Zgonnikov, A. (author), van Arem, B. (author)
Detecting abnormal driving behavior is critical for road traffic safety and the evaluation of drivers' behavior. With the advancement of machine learning (ML) algorithms and the accumulation of naturalistic driving data, many ML models have been adopted for abnormal driving behavior detection. Most existing ML-based detectors rely on (fully)...
poster 2023
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Sav, Andra Georgiana (author), Demetriou, A.M. (author), Liem, C.C.S. (author)
Machine Learning (ML) models influence all aspects of our lives. They also commonly are integrated in recommender systems, which facilitate users’ decision-making processes in various scenarios, such as e-commerce, social media, news and online learning. Training performed on large volumes of data is what ultimately drives such systems to...
journal article 2023
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Lammerts, Philippe (author), Lippmann, P. (author), Hsu, Yen Chia (author), Casati, Fabio (author), Yang, J. (author)
Hate speech moderation remains a challenging task for social media platforms. Human-AI collaborative systems offer the potential to combine the strengths of humans' reliability and the scalability of machine learning to tackle this issue effectively. While methods for task handover in human-AI collaboration exist that consider the costs of...
conference paper 2023
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Guo, Rongge (author), Bhatnagar, Saumya (author), Guan, Wei (author), Vallati, Mauro (author), Sharif Azadeh, S. (author)
This paper presents a novel framework for customised modular bus systems that leverages travel demand prediction and modular autonomous vehicles to optimise services proactively. The proposed framework addresses two prediction scenarios with different forward-looking operations: optimistic operation and pessimistic operation. A mixed integer...
journal article 2023
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Koohmishi, Mehdi (author), Guo, Y. (author)
The occurrence of ballast contamination or fouling frequently results in a sudden decline in the capacity of railway ballasted tracks. Considering the various sources of ballast fouling, clay is the most severe one for causing a drastic reduction in the drainage capacity of the ballast layer. In the current study, we utilized a large-scale...
journal article 2023
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Naseri Jahfari, A. (author), Tax, D.M.J. (author), van der Harst, Pim (author), Reinders, M.J.T. (author), van der Bilt, Ivo (author)
Background: Smartwatches enable continuous and noninvasive time series monitoring of cardiovascular biomarkers like heart rate (from photoplethysmograms), step counter, skin temperature, et cetera; as such, they have promise in assisting in early detection and prevention of cardiovascular disease. Although these biomarkers may not be directly...
journal article 2023
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Pinasco, Silvia (author), Lagomarsino, Sergio (author), Carocci, Caterina (author), Coraddu, A. (author), Oneto, Luca (author), Cattari, Serena (author)
Seismic events in Italy and worldwide have highlighted the high vulnerability of unreinforced masonry (URM) structures in small historical centres. A key feature of these settlements is to be mostly composed of buildings in aggregate, i.e., interconnected by a more or less structurally effective connection. The seismic assessment of such...
conference paper 2023
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de Roda Husman, S. (author), Lhermitte, S.L.M. (author), Bolibar, J. (author), Izeboud, M. (author), Hu, Zhongyang (author), Shukla, S. (author), van der Meer, Marijn (author), Long, David (author), Wouters, B. (author)
While the influence of surface melt on Antarctic ice shelf stability can be large, the duration and affected area of melt events are often small. Therefore, melt events are difficult to capture with remote sensing, as satellite sensors always face the trade-off between spatial and temporal resolution. To overcome this limitation, we developed...
journal article 2023
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Reddy, P. Jyoteeshkumar (author), Chinta, Sandeep (author), Matear, Richard (author), Taylor, John (author), Baki, B. (author), Thatcher, Marcus (author), Kala, Jatin (author), Sharples, Jason (author)
Heatwaves and bushfires cause substantial impacts on society and ecosystems across the globe. Accurate information of heat extremes is needed to support the development of actionable mitigation and adaptation strategies. Regional climate models are commonly used to better understand the dynamics of these events. These models have very large...
journal article 2023
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Sturm, Patrick Obin (author), Manders, Astrid (author), Janssen, Ruud (author), Segers, Arjo (author), Wexler, Anthony S. (author), Lin, H.X. (author)
The chemical transport model LOTOS-EUROS uses a volatility basis set (VBS) approach to represent the formation of secondary organic aerosol (SOA) in the atmosphere. Inclusion of the VBS approximately doubles the dimensionality of LOTOS-EUROS and slows computation of the advection operator by a factor of two. This complexity limits SOA...
journal article 2023
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Garrido, Ángel Luis (author), Pera, M.S. (author), Bobed, Carlos (author)
Recommender Systems support a broad range of domains, each with peculiarities that recommendation algorithms must consider to produce appropriate suggestions. In the paper, we bring attention to a little-studied scenario related to the news domain: recommendations catering to media journalists. Based on the particular needs inherent to a...
journal article 2023
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Anderson, David M G (author), Kotnala, Ankita (author), Migas, L.G. (author), Patterson, N. Heath (author), Tideman, L.E.M. (author), Ach, Thomas (author), Tortorella, Sara (author), Van de Plas, Raf (author), Curcio, Christine A. (author), Schey, Kevin L. (author)
Introduction: Age related macular degeneration (AMD) causes legal blindness worldwide, with few therapeutic targets in early disease and no treatments for 80% of cases. Extracellular deposits, including drusen and subretinal drusenoid deposits (SDD; also called reticular pseudodrusen), disrupt cone and rod photoreceptor functions and strongly...
journal article 2023
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Roldan Montero, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
A novel framework to enhance the angular resolution of automotive radars is proposed. An approach to enlarge the antenna aperture using artificial neural networks is developed using a self-supervised learning scheme. Data from a high angular resolution radar, i.e., a radar with a large antenna aperture, is used to train a deep neural network...
journal article 2023
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Piadeh, Farzad (author), Behzadian, Kourosh (author), Chen, Albert S. (author), Campos, Luiza C. (author), Rizzuto, Joseph P. (author), Kapelan, Z. (author)
Urban flooding is a major problem for cities around the world, with significant socio-economic consequences. Conventional real-time flood forecasting models rely on continuous time-series data and often have limited accuracy, especially for longer lead times than 2 hrs. This study proposes a novel event-based decision support algorithm for...
journal article 2023
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