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Vinard, N. (author)When humans started started exploiting the abundant underground natural resources the Earth has to offer such as hydrocarbons, minerals and heat, we started to experience earthquakes that are related to this exploitation, so called induced earthquakes. Under certain conditions those can damage local infrastructure. However, most events are weak...doctoral thesis 2022
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Li, W. (author)Multi-phase metallic materials such as Advanced High-Strength Steels (AHSS) are of great importance in a wide variety of high-tech industries due to their higher strength compared to conventional (mild) forming steels. The higher strength leads to various advantages in weight, safety and environmental friendliness. In order to develop new AHHS...doctoral thesis 2022
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Ekici, B. (author)Population growth and urbanisation trends bring many consequences related to the increase in global energy consumption, CO2 emissions and a decrease in arable land per person. High‑rises have been one of the inevitable buildings of metropoles to provide extra floor space since the early examples in the 19th century. Therefore, optimisation of...doctoral thesis 2022
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Köylü, T.C. (author), Reinbrecht, Cezar (author), Brandalero, Marcelo (author), Hamdioui, S. (author), Taouil, M. (author)Fault injection attacks are a threat to all digital systems, especially to the ones conducting security sensitive operations. Recently, the strategy of observing the instruction flow to detect attacks has gained popularity. In this paper, we provide a comparative study between three hardware-based techniques (i.e., recurrent neural network (RNN)...journal article 2022
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Afghari, A.P. (author), Papadimitriou, E. (author), Pilkington-Cheney, Fran (author), Filtness, Ashleigh (author), Brijs, Tom (author), Brijs, Kris (author), Cuenen, Ariane (author), De Vos, Bart (author), Dirix, Helene (author), Ross, Veerle (author), Wets, Geert (author), Lourenço, André (author), Rodrigues, Lourenço (author)Sleepiness is a common human factor among truck drivers resulting from sleep loss or time of day and causing impairment in vigilance, attention, and driving performance. While driver sleepiness may be associated with increased risk on the road, sleepy drivers may drive more cautiously as a result of risk-compensating behaviour. This endogeneity...journal article 2022
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Sasikumar, Aravind (author), Ninyerola, Joan (author), Ruiz, Ivan (author), Bessa, M.A. (author), Turon Travesa, Albert (author)Aeronautical industries are concerned about the cost effective generation of design allowables for composite laminates. Design allowables take into account the variabilities arising from different sources (material, manufacturing, defects etc.,) which are determined using expensive and time consuming experimental campaigns....conference paper 2022
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Salvati, Enrico (author), Tognan, Alessandro (author), Laurenti, L. (author), Pelegatti, Marco (author), De Bona, Francesco (author)Defects in additively manufactured materials are one of the leading sources of uncertainty in mechanical fatigue. Fracture mechanics concepts are useful to evaluate their influence, nevertheless, these approaches cannot account for the real morphology of defects. Preliminary attempts to exploit a more comprehensive description of defects can...journal article 2022
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Seale, C.F. (author), Tepeli, Y.I. (author), P. Gonçalves, Joana (author)Motivation<br/>Synthetic lethality (SL) between two genes occurs when simultaneous loss of function leads to cell death. This holds great promise for developing anti-cancer therapeutics that target synthetic lethal pairs of endogenously disrupted genes. Identifying novel SL relationships through exhaustive experimental screens is challenging,...journal article 2022
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Smit, J.M. (author), Krijthe, J.H. (author), Tintu, Andrei N. (author), Endeman, Henrik (author), Ludikhuize, Jeroen (author), van Genderen, Michel E. (author), Gommers, D.A.M.P.J. (author), Arbous, M.S. (author), Reinders, M.J.T. (author)Background: Timely identification of deteriorating COVID-19 patients is needed to guide changes in clinical management and admission to intensive care units (ICUs). There is significant concern that widely used Early warning scores (EWSs) underestimate illness severity in COVID-19 patients and therefore, we developed an early warning model...journal article 2022
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Kathmann, H.S. (author), van Natijne, A.L. (author), Lindenbergh, R.C. (author)Monitoring the status of the vegetation is required for nature conservation. This monitoring task is time consuming as kilometers of area have to be investigated and classified. To make this task more manageable, remote sensing is used. The acquisition of airplane remote sensing data is dependent on weather conditions and permission to fly in...journal article 2022
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Wei, Xiaolu (author), van der Zwaag, S. (author), Jia, Zixi (author), Wang, Chenchong (author), Xu, W. (author)In this research a machine learning model for predicting the rotating bending fatigue strength and the high-throughput design of fatigue resistant steels is proposed. In this transfer prediction framework, machine learning models are first trained to estimate tensile properties (yield strength, tensile strength and elongation) on the basis of...journal article 2022
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Cai, Jie (author), Jiang, X. (author), Yang, Yazhou (author), Lodewijks, Gabriel (author), Wang, Minchang (author)A corrosion defect is recognized as one of the most severe phenomena for high-pressure pipelines, especially those served for a long time. Finite-element method and empirical formulas are thereby used for the strength prediction of such pipes with corrosion. However, it is time-consuming for finite-element method and there is a limited...journal article 2022
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Wahlstrom, Johan (author), Kok, M. (author)The last years have seen a growing body of literature on data-driven pedestrian inertial navigation. However, despite this, it is still unclear how to efficiently combine classical models and other a priori information with existing machine learning frameworks. In this paper, we first categorize existing approaches to data-driven pedestrian...journal article 2022
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Kaseb, Z. (author), Montazeri, H. (author)Metamodels are developed and used for aerodynamic optimization of a ducted opening integrated into a high-rise building to maximize the amplification factor within the duct. The duct consists of a nozzle, a throat, and a diffuser. 211 high-resolution 3D RANS CFD simulations are performed to generate training and testing datasets. The space...journal article 2022
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Jigjid, K. (author), Minamoto, Yuki (author), Doan, Nguyen Anh Khoa (author), Tanahashi, Mamoru (author)A neural network (NN) aided model is proposed for the filtered reaction rate in moderate or intense low-oxygen dilution (MILD) combustion. The framework of the present model is based on the partially stirred reactor (PaSR) approach, and the fraction of the reactive structure appearing in the PaSR is predicted using different NN's, to consider...journal article 2022
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Shan, X. (author), Steele-Dunne, S.C. (author), Huber, M. (author), Hahn, Sebastian (author), Wagner, Wolfgang (author), Bonan, Bertrand (author), Albergel, Clement (author), Calvet, Jean-Christophe (author), Ku, Ou (author), Georgievska, Sonja (author)A Deep Neural Network (DNN) is used to estimate the Advanced Scatterometer (ASCAT) C-band microwave normalized backscatter (σ40o), slope (σ′) and curvature (σ″) over France. The Interactions between Soil, Biosphere and Atmosphere (ISBA) land surface model (LSM) is used to produce land surface variables (LSVs) that are input to the DNN. The DNN...journal article 2022
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Lupetti, M.L. (author), Romagnoli, L. (author)This work illustrates and reflects on the design process of MLTK01, an open-source toolkit for fast prototyping tangible learning things, built on top of Arduino and ml5js. The toolkit was developed as a response to the current lack of fast and easy to use tools for tangible experiments with machine learning. Learning from insights gained...conference paper 2022
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Le Kernec, Julien (author), Fioranelli, F. (author), Romain, Olivier (author), Bordat, Alexandre (author)Radar has long been considered an important technology for indoor monitoring and assisted living. As ageing has become a worldwide problem, it causes a huge burden on the government’s healthcare expenses and infrastructure. Radar-based human activity recognition (HAR) is foreseen to become a widespread sensing modality for health monitoring...conference paper 2022
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Moradi, M. (author), Komninos, P. (author), Benedictus, R. (author), Zarouchas, D. (author)Recently, companies all over the world have been focusing on the improvement of autonomous health management systems in order to enhance performance and reduce downtime costs. To achieve this, the remaining useful life predictions have been given remarkable attention. These predictions depend on the proper designing process and the quality of...conference paper 2022
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Alfrink, Kars (author), Keller, A.I. (author), Kortuem, G.W. (author), Doorn, N. (author)As the use of AI systems continues to increase, so do concerns over their lack of fairness, legitimacy and accountability. Such harmful automated decision-making can be guarded against by ensuring AI systems are contestable by design: responsive to human intervention throughout the system lifecycle. Contestable AI by design is a small but...journal article 2022