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Rittig, J. (author), Ritzert, Martin (author), Schweidtmann, A.M. (author), Winkler, Stefanie (author), Weber, J.M. (author), Morsch, Philipp (author), Heufer, Karl Alexander (author), Grohe, Martin (author), Mitsos, Alexander (author), Dahmen, Manuel (author)Fuels with high-knock resistance enable modern spark-ignition engines to achieve high efficiency and thus low CO<sub>2</sub> emissions. Identification of molecules with desired autoignition properties indicated by a high research octane number and a high octane sensitivity is therefore of great practical relevance and can be supported by...journal article 2022
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Ghavamian, F. (author)We study the acceleration of the finite element method (FEM) simulations using machine learning (ML) models. Specifically, we replace computationally expensive (parts of) FEM models with efficient ML surrogates. We develop three methods to speed up FEM simulations. The primary difference between these models is their degree of intrusion into the...doctoral thesis 2021
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Prisacaru, Alexandru (author)This thesis describes a series of experiments, algorithms, and methodology development for implementing Prognostics and Health Management (PHM) in the field of automotive electronics. Furthermore, a new PHM framework is proposed explicitly tailored for the harsh environment electronics. In addition, the entire apparatus is built, such as the...doctoral thesis 2021
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Ugwuoke, C.I. (author)The genome is the blueprint of life and has a detailed genotype and phenotype description of any organism. This in itself attributes sensitivity to genetic data, be it in the biological or electronic format. The possibility of sequencing the genome has opened doors to further probing of the data in its electronic form. Post sequencing of the...doctoral thesis 2021
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OUYANG, Boya (author), LI, Yuhai (author), SONG, Yu (author), WU, Feishu (author), YU, Huizi (author), WANG, Yongzhe (author), BAUCHY, Mathieu (author), SANT, Gaurav (author)Despite previous efforts to relate concrete proportioning and strength, a robust knowledgebased model for accurate concrete strength predictions is still lacking. As an alternative to physical or chemical-based models, machine learning (ML) methods offer a new solution to this problem. Although ML can handle the complex, non-linear, non-additive...conference paper 2021
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Coppola, M. (author)The paradigm of swarm robotics aims to enable several independent robots to collaborate together toward collective goals. The distributed nature of a swarm, whereby each robot acts independently in accordance with its perceived environment, is expected to provide the system with a high degree of flexibility, robustness, and scalability. However,...doctoral thesis 2021
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Makrodimitris, S. (author)Billions of people world-wide rely on plant-based food for their daily energy intake. As global warming and the spread of diseases (such as the banana Panama disease) is substantially hindering the cultivation of plants, the need to develop temperature- and/or disease-resistant varieties is getting more and more pressing. The field of plant...doctoral thesis 2021
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Saldaña Ochoa, Karla (author), Comes, M. (author)Along with climate change, more frequent extreme events, such as flooding and tropical cyclones, threaten the livelihoods and wellbeing of poor and vulnerable populations. One of the most immediate needs of people affected by a disaster is finding shelter. While the proliferation of data on disasters is already helping to save lives, identifying...conference paper 2021
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Zoutendijk, M. (author), Mitici, M.A. (author)The problem of flight delay prediction is approached most often by predicting a delay class or value. However, the aviation industry can benefit greatly from probabilistic delay predictions on an individual flight basis, as these give insight into the uncertainty of the delay predictions. Therefore, in this study, two probabilistic forecasting...journal article 2021
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Yilmaz, Kaan (author), Yorke-Smith, N. (author)In line with the growing trend of using machine learning to help solve combinatorial optimisation problems, one promising idea is to improve node selection within a mixed integer programming (MIP) branch-and-bound tree by using a learned policy. Previous work using imitation learning indicates the feasibility of acquiring a node selection policy...journal article 2021
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Giunti, Guido (author), Isomursu, M. (author), Gabarron, E. (author), Solad, Y. (author)Advances in voice recognition, natural language processing, and artificial intelligence have led to the increasing availability and use of conversational agents (chatbots) in different settings. Chatbots are systems that mimic human dialogue interaction through text or voice. This paper describes a series of design considerations for...conference paper 2021
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Sun, J. (author), Veefkind, j. Pepijn (author), Van Velthoven, Peter (author), Levelt, Pieternel Felicitas (author)Quantitative measurements of aerosol absorptive properties, e.g., the absorbing aerosol optical depth (AAOD) and the single scattering albedo (SSA), are important to reduce uncertainties of aerosol climate radiative forcing assessments. Currently, global retrievals of AAOD and SSA are mainly provided by the ground-based aerosol robotic...journal article 2021
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The Stumblemeter: Design and Validation of a System That Detects and Classifies Stumbles during Gaitden Hartog, D.D.G. (author), Harlaar, J. (author), Smit, G. (author)Stumbling during gait is commonly encountered in patients who suffer from mild to serious walking problems, e.g., after stroke, in osteoarthritis, or amputees using a lower leg prosthesis. Instead of self-reporting, an objective assessment of the number of stumbles in daily life would inform clinicians more accurately and enable the evaluation...journal article 2021
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Doan, Nguyen Anh Khoa (author), Polifke, W. (author), Magri, L. (author)We propose a physics-constrained machine learning method - based on reservoir computing - to time-accurately predict extreme events and long-term velocity statistics in a model of chaotic flow. The method leverages the strengths of two different approaches: empirical modelling based on reservoir computing, which learns the chaotic dynamics...journal article 2021
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Hendrickx, Rik (author), Zoutendijk, M. (author), Mitici, M.A. (author), Schäfer, Jeffrey (author)A key part of efficient airport operational planning is to have insight into potential flight delays and cancellations. For airport planners, it is important to obtain flight delay or cancellation predictions with a high degree of certainty, i.e. a high precision. This allows planners to make sound decisions based on these predictions. To obtain...conference paper 2021
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van Dijk, M.P. (author), Kok, M. (author), Berger, Monique A.M. (author), Hoozemans, Marco J.M. (author), Veeger, H.E.J. (author)In sports, inertial measurement units are often used to measure the orientation of human body segments. A Madgwick (MW) filter can be used to obtain accurate inertial measurement unit (IMU) orientation estimates. This filter combines two different orientation estimates by applying a correction of the (1) gyroscope-based estimate in the...journal article 2021
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- Leeuwenburgh, O. (author), Emerick, Alexandre A. (author), Jafarpour, Behnam (author), Zhang, Dongxiao (author), Luo, Xiaodong (author) contribution to periodical 2021
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Sellevold, R. (author), Vizcaino, M. (author)Future Greenland ice sheet (GrIS) melt projections are limited by the lack of explicit melt calculations within most global climate models and the high computational cost of dynamical downscaling with regional climate models (RCMs). Here, we train artificial neural networks (ANNs) to obtain relationships between quantities consistently...journal article 2021
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El-Taliawi, Ola G. (author), Goyal, N. (author), Howlett, Michael (author)While the emergence of big data raises concerns regarding governance and public policy, it also creates opportunities for diversifying the toolkit for analysis for the policy sciences as a whole, i.e., research concerning policy analysis as well as policy studies. Further, it opens avenues for practice, which together with research requires...journal article 2021
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Fioranelli, F. (author), Le Kernec, Julien (author)In this paper, radar sensing in the domain of human healthcare is discussed, specifically looking at the typical applications of human activity classification (including fall detection), gait analysis and gait parameters extraction, and vital signs monitoring such as respiration and heartbeat. A brief overview of open research challenges and...conference paper 2021