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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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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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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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Wen, J. (author), Abeel, T.E.P.M.F. (author), de Weerdt, M.M. (author)Global soft fruit supply chains rely on trustworthy descriptions of product quality. However, crucial criteria such as sweetness and firmness cannot be accurately established without destroying the fruit. Since traditional alternatives are subjective assessments by human experts, it is desirable to obtain quality estimations in a consistent and...journal article 2023
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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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Brosinsky, Christoph (author), Karaçelebi, M. (author), Cremer, Jochen (author)The reader of the chapter will be able to connect techniques from machine learning (ML) and digital twins (DTs) to gain insights for monitoring and control of (dynamic) security for electrical power systems. DTs are validated and verified high-fidelity (hf) models providing high simulation accuracy. DTs can be used for simulation of the...book chapter 2023
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Pacheco-López, Adrián (author), Prifti, Kristiano (author), Manenti, Flavio (author), Somoza Tornos, A. (author), Graells, Moisès (author), Espuña, Antonio (author)The constant development of new alternatives to treat waste aids in closing material loops towards the circular economy and improving sustainability through the use of new renewable materials and energy. This fact leads to the increasing need for decision-making tools for process synthesis and assessment, which can be addressed with an...book chapter 2023
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de Bruijn, Douwe S. (author), ten Eikelder, Henricus R.A. (author), Papadimitriou, V. (author), Olthuis, Wouter (author), van den Berg, Albert (author)The assessment of particle and cell size in electrical microfluidic flow cytometers has become common practice. Nevertheless, in flow cytometers with coplanar electrodes accurate determination of particle size is difficult, owing to the inhomogeneous electric field. Pre-defined signal templates and compensation methods have been introduced to...journal article 2022
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de Graaf, W.M. (author), van Riet, T.C.T. (author), de Lange, J. (author), Kober, J. (author)Surprisingly little is known about tooth removal procedures. This might be due to the difficulty of gaining reliable data on these procedures. To improve our understanding of these procedures, machine learning techniques were used to design a multiclass classification model of tooth removal based on force, torque, and movement data recorded...journal article 2022
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Rozsas, Arpad (author), Slobbe, Arthur (author), Huizinga, Wyke (author), Kruithof, Maarten (author), Ajithkumar Pillai, Krishna (author), Kleijn, Kelvin (author), Giardina, Giorgia (author)This paper proposes an automated approach to predict crack pattern similarities that correlate well with assessment by structural engineers. We use Siamese convolutional neural networks (SCNN) that take two crack pattern images as inputs and output scalar similarity measures. We focus on 2D masonry facades with and without openings. The image...journal article 2022
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Den Hartog, Dylan (author), van der Krogt, Marjolein M. (author), van der Burg, Sven (author), Aleo, Ignazio (author), Gijsbers, Johannes (author), Bonouvrié, Laura A. (author), Harlaar, J. (author), Buizer, Annemieke I. (author), Haberfehlner, Helga (author)Accurate and reliable measurement of the severity of dystonia is essential for the indication, evaluation, monitoring and fine‐tuning of treatments. Assessment of dystonia in children and adolescents with dyskinetic cerebral palsy (CP) is now commonly performed by visual evaluation either directly in the doctor’s office or from video...journal article 2022
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Garzón Díaz, J.A. (author), Kapelan, Z. (author), Langeveld, J.G. (author), Taormina, R. (author)Surrogate models replace computationally expensive simulations of physically-based models to obtain accurate results at a fraction of the time. These surrogate models, also known as metamodels, have been employed for analysis, control, and optimization of water distribution and urban drainage systems. With the advent of machine learning (ML),...review 2022
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Di Domenico, Giuseppe (author), Weisman, Dror (author), Panichella, A. (author), Roitman, Dolev (author), Arie, Ady (author)Spatial modes of light can be used as carriers of information in classical optical communication or as an alphabet in quantum optical communication. In order to exploit the spatial domain, it is required to (de)multiplex different modes from a shared input channel into different output ports. Mode sorters have been employed in free-space and...journal article 2022
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Zorello, Ligia Maria Moreira (author), Bliek, L. (author), Troia, Sebastian (author), Guns, Tias (author), Verwer, S.E. (author), Maier, Guido (author)The 5G Radio Access Network (RAN) virtualization aims to improve network quality and lower the operator's costs. One of its main features is the functional split, i.e., dividing the instantiation of RAN baseband functions into different units over metro-network nodes. However, its optimal placement is non-trivial: it depends on the...journal article 2022
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Mulder, S.T. (author), Omidvari, Amir-Houshang (author), Rueten-Budde, A.J. (author), Hai, R. (author), Akgün, O.C. (author), Tax, D.M.J. (author), Reinders, M.J.T. (author), Reinders, Marcel (author), Visch, V.T. (author)A digital twin (DT), originally defined as a virtual representation of a physical asset, system, or process, is a new concept in health care. A DT in health care is not a single technology but a domain-adapted multimodal modeling approach incorporating the acquisition, management, analysis, prediction, and interpretation of data, aiming to...journal article 2022
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Razavi, Saman (author), Hannah, David M. (author), Elshorbagy, Amin (author), Kumar, Sujay (author), Marshall, Lucy (author), Solomatine, D.P. (author), Dezfuli, Amin (author), Sadegh, Mojtaba (author), Famiglietti, James (author)Machine learning (ML) applications in Earth and environmental sciences (EES) have gained incredible momentum in recent years. However, these ML applications have largely evolved in ‘isolation’ from the mechanistic, process-based modelling (PBM) paradigms, which have historically been the cornerstone of scientific discovery and policy support....journal article 2022
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Alcañiz Moya, A. (author), Lindfors, Anders V. (author), Zeman, M. (author), Ziar, H. (author), Isabella, O. (author)Machine learning is arising as a major solution for the photovoltaic (PV) power prediction. Despite the abundant literature, the effect of climate on yield predictions using machine learning is unknown. This work aims to find climatic trends by predicting the power of 48 PV systems around the world, equally divided into four climates. An...journal article 2022
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Van Oort, Bart (author), Cruz, Luis (author), Loni, Babak (author), van Deursen, A. (author)Machine Learning (ML) projects incur novel challenges in their development and productionisation over traditional software applications, though established principles and best practices in ensuring the project's software quality still apply. While using static analysis to catch code smells has been shown to improve software quality attributes...conference paper 2022
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Sun, Bingrong (author), Gong, Lin (author), Shim, J. (author), Jang, Kitae (author), Park, B. Brian (author), Wang, Hongning (author), Hu, Jia (author)Real-world route navigation data indicate that nontrivial portion of drivers do not prefer the system-recommended best routes. Current navigation systems have simplified assumptions about drivers’ route choice preferences and do not adequately accommodate drivers’ heterogeneous route choice preferences, mainly because of: (i) difficulty in...journal article 2022
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Mohammadkarimi, M. (author), Dobre, Octavia A. (author), Win, Moe Z. (author)Existing wireless communication systems have been mainly designed to provide substantial gain in terms of data rates. However, 5G and Beyond will depart from this scheme, with the objective not only to provide services with higher data rates. One of the main goals is to support massive machine-type communications (mMTC) in the Internet-of-Things...journal article 2022