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Bellelli, Valeria (author), Siccardi, Guido (author), Conte, Livia (author), Celani, Luigi (author), Congeduti, E. (author), Borrazzo, Cristian (author), Santinelli, Letizia (author), Innocenti, Giuseppe Pietro (author), Pinacchio, Claudia (author), Ceccarelli, Giancarlo (author)Invasive pulmonary aspergillosis (IPA) is typically considered a disease of immunocompromised patients, but, recently, many cases have been reported in patients without typical risk factors. The aim of our study is to develop a risk predictive model for IPA through machine learning techniques (decision trees) in patients with influenza. We...journal article 2020
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Degeler, V. (author), Heydenrijk-Ottens, L.J.C. (author), Luo, D. (author), van Oort, N. (author), van Lint, J.W.C. (author)We perform an analysis of public transport data from The Hague, the Netherlands, combined from three sources: static network information, automatic vehicles location and automated fare collection data. We highlight the effect of bunching swings, and show that this phenomenon can be extracted using unsupervised machine learning techniques,...journal article 2020
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Qu, S. (author), Guan, Zhe (author), Verschuur, D.J. (author), Chen, Yangkang (author)Microseismic methods are crucial for real-Time monitoring of the hydraulic fracturing dynamic status during the development of unconventional reservoirs. However, unlike the active-source seismic events, the microseismic events usually have low signal-To-noise ratio (SNR), which makes its data processing challenging. To overcome the noise...journal article 2020
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Makrodimitris, S. (author), van Ham, R.C.H.J. (author), Reinders, M.J.T. (author)The current rate at which new DNA and protein sequences are being generated is too fast to experimentally discover the functions of those sequences, emphasizing the need for accurate Automatic Function Prediction (AFP) methods. AFP has been an active and growing research field for decades and has made considerable progress in that time....review 2020
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Christensen, Thomas (author), Loh, Charlotte (author), Picek, S. (author), Jakobović, Domagoj (author), Jing, Li (author), Fisher, Sophie (author), Ceperic, Vladimir (author), Joannopoulos, John D. (author), Soljačić, Marin (author)The prediction and design of photonic features have traditionally been guided by theory-driven computational methods, spanning a wide range of direct solvers and optimization techniques. Motivated by enormous advances in the field of machine learning, there has recently been a growing interest in developing complementary data-driven methods...journal article 2020
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Muñoz Muñoz, F.A. (author), Mor, A. R. (author)This paper presents a wavelet analysis technique together with support vector machines (SVM) to discriminate partial discharges (PD) from external disturbances (electromagnetic noise) in a GIS PD measuring system based on magnetic antennas. The technique uses the Cross Wavelet Transform (XWT) to process the PD signals and the external...journal article 2020
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Alsayyari, F.S. (author)Large-scale complex systems require high-fidelity models to capture the dynamics of the system accurately. For example, models of nuclear reactors capture multiphysics interactions (e.g., radiation transport, thermodynamics, heat transfer, and fluid mechanics) occurring at various scales of time (prompt neutrons to burn-up calculations) and...doctoral thesis 2020
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den Bieman, Joost P. (author), van Gent, M.R.A. (author), van den Boogaard, Henk F.P. (author)Coastal structures are often designed to a maximum allowable wave overtopping discharge, hence accurate prediction of the amount of wave overtopping is an important issue. Both empirical formulae and neural networks are among the commonly used prediction tools. In this work, a new model for the prediction of mean wave overtopping discharge is...journal article 2021
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Apra, I. (author), Bachert, C. (author), Cáceres Tocora, C. (author), Veselý, O. (author), Verbree, E. (author)In guiding the energy transition efforts towards renewable energy sources, 3D city models were shown to be useful tools when assessing the annual solar energy generation potential of urban landscapes. However, the simplified roof geometry included in these 3D city models and the lack of additional semantic information about the buildings'...journal article 2021
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Starmans, Martijn P.A. (author), Buisman, Florian E. (author), Renckens, Michel (author), Willemssen, François E.J.A. (author), van der Voort, Sebastian R. (author), Groot Koerkamp, B. (author), Grünhagen, Dirk J. (author), Niessen, W.J. (author), Vermeulen, Peter B. (author)Histopathological growth patterns (HGPs) are independent prognosticators for colorectal liver metastases (CRLM). Currently, HGPs are determined postoperatively. In this study, we evaluated radiomics for preoperative prediction of HGPs on computed tomography (CT), and its robustness to segmentation and acquisition variations. Patients with...journal article 2021
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Domazetovska, Simona (author), Gavriloski, Viktor (author), Jovanova, J. (author)The artificial intelligence (AI) field has encountered a turning point mainly due to advancements in machine learning, which allows systems to learn, improve, and perform a specific task through data without being explicitly programmed. Machine learning can be utilized with machining processes to improve product quality levels and...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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van Baardewijk, Jan Ubbo (author), Agarwal, Sarthak (author), Cornelissen, Alex S. (author), Joosen, Marloes J. A. (author), Kentrop, Jiska (author), Varon, Carolina (author), Brouwer, Anne-Marie (author)Early detection of exposure to a toxic chemical, e.g., in a military context, can be life-saving. We propose to use machine learning techniques and multiple continuously measured physiological signals to detect exposure, and to identify the chemical agent. Such detection and identification could be used to alert individuals to take...journal article 2021
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Klijn, M.E. (author), Hubbuch, Juergen (author)Imaging is increasingly more utilized as analytical technology in biopharmaceutical formulation research, with applications ranging from subvisible particle characterization to thermal stability screening and residual moisture analysis. This review offers a comprehensive overview of analytical imaging for scientists active in...journal article 2021
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Haakman, Mark (author), Cruz, Luis (author), Huijgens, H.K.M. (author), van Deursen, A. (author)Tech-leading organizations are embracing the forthcoming artificial intelligence revolution. Intelligent systems are replacing and cooperating with traditional software components. Thus, the same development processes and standards in software engineering ought to be complied in artificial intelligence systems. This study aims to understand the...journal article 2021
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Kulin, Merima (author), Kazaz, T. (author), De Poorter, Eli (author), Moerman, Ingrid (author)This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY,MAC and network. First, the related work and paper contributions are discussed, followed by providing...journal article 2021
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Ye, Qing Chuan (author), Rhuggenaath, Jason. S. (author), Zhang, Yingqian (author), Verwer, S.E. (author), Hilgeman, Michiel Jurgen (author)Designing auction parameters for online industrial auctions is a complex problem due to highly heterogeneous items. Currently, online auctioneers rely heavily on their experts in auction design. The ability of predicting how well an auction will perform prior to the start comes in handy for auctioneers. If an item is expected to be a low...journal article 2021
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Antonopoulos, Ioannis (author), Robu, Valentin (author), Couraud, Benoit (author), Flynn, David (author)Recent years have seen an increasing interest in Demand Response (DR), as a means to satisfy the growing flexibility needs of modern power grids. This increased flexibility is required due to the growing proportion of intermittent renewable energy generation into the energy mix, and increasing complexity in demand profiles from the...journal article 2021
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Jin, J. (author)Accurate and automatic railhead inspection is crucial for the operational safety of railway systems. Deep learning on visual images is effective in the automatic detection of railhead defects, but either intensive data requirements or ignoring defect sizes reduce its applicability. This paper developed a machine learning framework based on...journal article 2021
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Ekici, B. (author), Kazanasmaz, Tuğçe (author), Turrin, M. (author), Tasgetiren, Fatih (author), Sariyildiz, I.S. (author)Designing high-rise buildings is one of the complex tasks of architecture because it involves interdisciplinary performance aspects in the conceptual phase. The necessity for sustainable high-rise buildings has increased owing to the demand for metropolises based on population growth and urbanisation trends. Although artificial intelligence (AI)...journal article 2021