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- Goedmakers, C.M.W. (author), Pereboom, L. M. (author), Schoones, J. W. (author), de Leeuw den Bouter, M.L. (author), Remis, R.F. (author), Staring, M. (author), Vleggeert-Lankamp, C. L.A. (author) review 2022
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Harlaar, J. (author), Macri, E.M. (author), Wesseling, M.G.H. (author)Osteoarthritis (OA) has a complex, heterogeneous and only partly understood etiology. There is a definite role of joint cartilage pathomechanics in originating and progressing of the disease. Although it is still not identified precisely enough to design or select targeted treatments, the progress of this year's research demonstrates that...review 2022
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Schweidtmann, A.M. (author), Esche, Erik (author), Fischer, Asja (author), Kloft, Marius (author), Repke, Jens Uwe (author), Sager, Sebastian (author), Mitsos, Alexander (author)The transformation of the chemical industry to renewable energy and feedstock supply requires new paradigms for the design of flexible plants, (bio-)catalysts, and functional materials. Recent breakthroughs in machine learning (ML) provide unique opportunities, but only joint interdisciplinary research between the ML and chemical engineering ...review 2021
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Casali, Y. (author), Aydin, N.Y. (author), Comes, M. (author)The challenges for sustainable cities to protect the environment, ensure economic growth, and maintain social justice have been widely recognized. Along with the digitization, availability of large datasets, Machine Learning (ML) and Artificial Intelligence (AI) are promising to revolutionize the way we analyze and plan urban areas, opening new...review 2022
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Anikiev, Denis (author), Birnie, Claire (author), Waheed, Umair bin (author), Alkhalifah, Tariq (author), Gu, Chen (author), Verschuur, D.J. (author), Eisner, Leo (author)The confluence of our ability to handle big data, significant increases in instrumentation density and quality, and rapid advances in machine learning (ML) algorithms have placed Earth Sciences at the threshold of dramatic progress. ML techniques have been attracting increased attention within the seismic community, and, in particular, in...review 2023
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Smeele, Nicholas V.R. (author), Chorus, C.G. (author), Schermer, Maartje H.N. (author), de Bekker-Grob, Esther W. (author)Background: Discrete choice models (DCMs) for moral choice analysis will likely lead to erroneous model outcomes and misguided policy recommendations, as only some characteristics of moral decision-making are considered. Machine learning (ML) is recently gaining interest in the field of discrete choice modelling. This paper explores the...review 2023
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Pappaterra, Mauro José (author), Flammini, Francesco (author), Vittorini, Valeria (author), Bešinović, Nikola (author)The aim of this paper is to review existing publicly available and open artificial intelligence (AI) oriented datasets in different domains and subdomains of the railway sector. The contribution of this paper is an overview of AI-oriented railway data published under Creative Commons (CC) or any other copyright type that entails public...review 2021
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Iakovidis, Dimitris K. (author), Ooi, Melanie (author), Kuang, Ye Chow (author), Demidenko, Serge (author), Shestakov, Alexandr (author), Sinitsin, Vladimir (author), Henry, Manus (author), Sciacchitano, A. (author), Fioranelli, F. (author)Signal processing is a fundamental component of almost any sensor-enabled system, with a wide range of applications across different scientific disciplines. Time series data, images, and video sequences comprise representative forms of signals that can be enhanced and analysed for information extraction and quantification. The recent advances in...review 2021
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Wesselius, F.J. (author), van Schie, M.S. (author), de Groot, N.M.S. (author), Hendriks, R.C. (author)Aims: Automated detection of atrial fibrillation (AF) in continuous rhythm registrations is essential in order to prevent complications and optimize treatment of AF. Many algorithms have been developed to detect AF in surface electrocardiograms (ECGs) during the past few years. The aim of this systematic review is to gain more insight into...review 2021
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Li, Zirui (author), Gong, Cheng (author), Lin, Yunlong (author), Li, G. (author), Wang, Xinwei (author), Lu, Chao (author), Wang, Miao (author), Chen, Shanzhi (author), Gong, Jianwei (author)Modelling, predicting and analysing driver behaviours are essential to advanced driver assistance systems (ADAS) and the comprehensive understanding of complex driving scenarios. Recently, with the development of deep learning (DL), numerous driver behaviour learning (DBL) methods have been proposed and applied in connected vehicles (CV) and...review 2023
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Koohmishi, Mehdi (author), Kaewunruen, Sakdirat (author), Chang, L. (author), Guo, Y. (author)Railway track health monitoring and maintenance are crucial stages in railway asset management, aiming to enhance the train operation quality and service life. For this aim, various inspection means (using diverse non-destructive testing techniques) have been applied, however, these means are mostly not able to monitor whole railway track...review 2024
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Naseri Jahfari, A. (author), Tax, D.M.J. (author), Reinders, M.J.T. (author), van der Bilt, Ivo (author)Background: Wearable technology has the potential to improve cardiovascular health monitoring by using machine learning. Such technology enables remote health monitoring and allows for the diagnosis and prevention of cardiovascular diseases. In addition to the detection of cardiovascular disease, it can exclude this diagnosis in symptomatic...review 2022
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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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Wu, D. (author), Zhang, R. (author), Pore, Ameya (author), Ha, Xuan Thao (author), Li, Z. (author), Herrera, Fernando (author), Kowalczyk, Wojtek (author), De Momi, Elena (author), Dankelman, J. (author), Kober, J. (author)Minimally Invasive Procedures (MIPs) emerged as an alternative to more invasive surgical approaches, offering patient benefits such as smaller incisions, less pain, and shorter hospital stay. In one class of MIPs, where natural body lumens or small incisions are used to access deeper anatomical locations, Flexible Surgical and Interventional...review 2024
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Ekici, B. (author), Türkcan, Okan (author), Turrin, M. (author), Sariyildiz, I.S. (author), Tasgetiren, Mehmet Fatih (author)The increase in global population, which negatively affects energy consumption, CO2 emissions, and arable land, necessitates designing sustainable habitation alternatives. Self-sufficient high-rise buildings, which integrate (electricity) generation and efficient usage of resources with dense habitation, can be a sustainable solution for future...journal article 2022
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Solé Gómez, J.A. (author), Scandolo, L. (author), Eisemann, E. (author)Plastic pollution in the sea is an environmental hazard, negatively impacts marine life, and causes economic damage all over the world. It is estimated that each year 8 million tonnes of plastic are deposited in seas, the vast majority coming from rivers. In recent years, publicly available satellite imagery has been used to attempt to track...journal article 2022
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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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de Groot, N.M.S. (author), Shah, Dipen (author), Boyle, Patrick M. (author), Anter, Elad (author), Clifford, Gari D. (author), Deisenhofer, Isabel (author), van Dessel, Pascal (author), Dilaveris, Polychronis (author), van der Veen, A.J. (author)We aim to provide a critical appraisal of basic concepts underlying signal recording and processing technologies applied for (i) atrial fibrillation (AF) mapping to unravel AF mechanisms and/or identifying target sites for AF therapy and (ii) AF detection, to optimize usage of technologies, stimulate research aimed at closing knowledge gaps,...journal article 2022
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Hiemstra, Annemarie M.F. (author), Cassel, Tatjana (author), Born, Marise Ph (author), Liem, C.C.S. (author)In this article, we describe the implementation of algorithms based on machine learning for personnel selection procedures and how this data-driven approach corresponds to and differentiates from classical psychological assessment. We discuss if, and in what way, bias and discrimination occur when using algorithms based on machine learning...journal article 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