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Bode, Lukas (author), Weinmann, M. (author), Klein, Reinhard (author)Extracting high-level structural information from 3D point clouds is challenging but essential for tasks like urban planning or autonomous driving requiring an advanced understanding of the scene at hand. Existing approaches are still not able to produce high-quality results consistently while being fast enough to be deployed in scenarios...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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Shengren, H. (author), Vergara Barrios, P.P. (author), Salazar Duque, Edgar Mauricio (author), Palensky, P. (author)The massive integration of renewable-based distributed energy resources (DERs) inherently increases the energy system’s complexity, especially when it comes to defining its operational schedule. Deep reinforcement learning (DRL) algorithms arise as a promising solution due to their data-driven and model-free features. However, current DRL...journal article 2023
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van 't Sant, S. (author), Thakolkaran, P. (author), Martínez, Jonàs (author), Kumar, Siddhant (author)Advancements in machine learning have sparked significant interest in designing mechanical metamaterials, i.e., materials that derive their properties from their inherent microstructure rather than just their constituent material. We propose a data-driven exploration of the design space of growth-based cellular metamaterials based on star-shaped...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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Sabzehee, F. (author), Amiri Simkooei, A. (author), Iran Pour, S. (author), Vishwakarma, B.D. (author), Kerachian, R. (author)The Urmia lake in north-west Iran has dried up to perilously low levels in the past two decades. In this study, we investigate the drivers behind the decline in lake water level with the help of in-situ and remote sensing data. We use total water storage (TWS) changes from the gravity recovery and climate experiment (GRACE) satellite mission....journal article 2023
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Vargas Quiros, J.D. (author), Kapcak, Oyku (author), Hung, H.S. (author), Cabrera Quiros, L.C. (author)Interpersonal attraction is known to motivate behavioral responses in the person experiencing this subjective phenomenon. Such responses may involve the imitation of behavior, as in mirroring or mimicry of postures or gestures, which have been found to be associated with the desire to be liked by an interlocutor. Speed dating provides a...journal article 2023
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Bugaje, A.-.A.B. (author), Cremer, Jochen (author), Strbac, Goran (author)Machine learning (ML) for real-time security assessment requires a diverse training database to be accurate for scenarios beyond historical records. Generating diverse operating conditions is highly relevant for the uncertain future of emerging power systems that are completely different to historical power systems. In response, for the first...journal article 2023
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El Hasadi, Yousef M.F. (author), Padding, J.T. (author)At the beginning of the second half of the twentieth century, Proudman and Pearson (J. Fluid. Mech.,2(3), 1956, pp.237–262) suggested that the functional form of the drag coefficient (C<sub>D</sub>) of a single sphere subjected to uniform fluid flow consists of a series of logarithmic and power terms of the Reynolds number (Re). In this paper...journal article 2023
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Grzebyk, Daniel (author), Alcañiz Moya, A. (author), Donker, Jaap (author), Zeman, M. (author), Ziar, H. (author), Isabella, O. (author)Due to the inherent uncertainty in photovoltaic (PV) energy generation, an accurate power forecasting is essential to ensure a reliable operation of PV systems and a safe electric grid. Machine learning (ML) techniques have gained popularity on the development of this task due to its increased accuracy. Most literature, however, focuses only...journal article 2023
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Mitici, M.A. (author), Hennink, Birgitte (author), Pavel, M.D. (author), Dong, J. (author)The health management of batteries is a key enabler for the adoption of Electric Vertical Take-off and Landing vehicles (eVTOLs). Currently, few studies consider the health management of eVTOL batteries. One distinct characteristic of batteries for eVTOLs is that the discharge rates are significantly larger during take-off and landing, compared...journal article 2023
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Oosterhoff, J.H.F. (author), Karhade, Aditya V. (author), Groot, Olivier Q. (author), Schwab, Joseph H. (author), Heng, Marilyn (author), Klang, Eyal (author), Prat, Dan (author)Purpose: Mortality prediction in elderly femoral neck fracture patients is valuable in treatment decision-making. A previously developed and internally validated clinical prediction model shows promise in identifying patients at risk of 90-day and 2-year mortality. Validation in an independent cohort is required to assess the generalizability;...journal article 2023
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Sharma, Bhawana (author), Sharma, Lokesh (author), Lal, C. (author), Roy, Satyabrata (author)Internet of Things (IoT) applications are growing in popularity for being widely used in many real-world services. In an IoT ecosystem, many devices are connected with each other via internet, making IoT networks more vulnerable to various types of cyber attacks, thus a major concern in its deployment is network security and user privacy. To...journal article 2023
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Diez Sanhueza, R.G. (author), Smit, S.H.H.J. (author), Peeters, J.W.R. (author), Pecnik, Rene (author)This paper presents a machine learning methodology to improve the predictions of traditional RANS turbulence models in channel flows subject to strong variations in their thermophysical properties. The developed formulation contains several improvements over the existing Field Inversion Machine Learning (FIML) frameworks described in the...journal article 2023
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Rittig, J. (author), Ben Hicham, Karim (author), Schweidtmann, A.M. (author), Dahmen, Manuel (author), Mitsos, Alexander (author)Ionic liquids (ILs) are important solvents for sustainable processes and predicting activity coefficients (ACs) of solutes in ILs is needed. Recently, matrix completion methods (MCMs), transformers, and graph neural networks (GNNs) have shown high accuracy in predicting ACs of binary mixtures, superior to well-established models, e.g., COSMO...journal article 2023
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Hendrickx, G.G. (author), Antolínez, José A. Á. (author), Herman, P.M.J. (author)In recent years, coastal management has been facing new challenges: socio-economic growth and consequent climate change impose new boundary conditions pushing coastal systems towards unseen states. For adaptation and mitigation strategies as well as risk management, the resilience of systems to these projected changes must be tested and...journal article 2023
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SUN, Beibei (author), DING, Luchuan (author), Ye, G. (author), De SCHUTTER, Geert (author)In this paper, 871 data were collected from literature and trained by the 4 representative machine learning methods, in order to build a robust compressive strength predictive model for slag and fly ash based alkali activated concretes. The optimum models of each machine learning method were verified by 4 validation metrics and further...journal article 2023
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Koohmishi, Mehdi (author), Guo, Y. (author)Parent rock strength and crumb rubber modification are two critical mechanical parameters that significantly decide the ballast layer degradation subjected to train dynamic loading. Using machine learning to predict ballast degradation considering these two parameters is helpful for deciding ballasted track maintenance cycle. In the current...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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Panichella, A. (author), Di Domenico, Giuseppe (author)Spatial mode division de-multiplexing of optical signals has many real-world applications, such as quantum computing and both classical and quantum optical communication. In this context, it is crucial to develop devices able to efficiently sort optical signals according to the optical mode they belong to and route them on different paths....conference paper 2023