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Smit, J.M. (author), Krijthe, J.H. (author), Gommers, D.A.M.P.J. (author), Kamps, M. J.A. (author), Cornet, A.J. (author), Arbous, M. S. (author), De Bruin, D. P. (author), Van Bommel, J. (author), Reinders, M.J.T. (author)
Background: The COVID-19 pandemic continues to overwhelm intensive care units (ICUs) worldwide, and improved prediction of mortality among COVID-19 patients could assist decision making in the ICU setting. In this work, we report on the development and validation of a dynamic mortality model specifically for critically ill COVID-19 patients...
journal article 2022
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O’Brien, Lisa (author), Montesano, Elena (author), Chadwell, Alix (author), Kenney, Laurence (author), Smit, G. (author)
(1) Background: This study investigated the feasibility of conducting a two-week “real-world” trial of the Self Grasping Hand (SGH), a novel 3D printed passive adjustable prosthesis for hand absence; (2) Methods: Single-group pilot study of nine adults with trans-radial limb absence; five used body-powered split-hooks, and four had passive...
journal article 2022
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Guo, Peicheng (author), Smit, I.R. (author)
With the development of Artificial intelligence, the connected objects are extended with the predictive capabilities and the character of things can change to “things that predict”. If a connected device is able to embrace a predictive system that not only profiles for scripted behavior but could also use the knowledge co-created by all the...
conference paper 2022
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Smit, Jordi (author)
Offline reinforcement learning, or learning from a fixed data set, is an attractive alternative to online reinforcement learning. Offline reinforcement learning promises to address the cost and safety implications of taking numerous random or bad actions online, which is a crucial aspect of traditional reinforcement learning that makes it...
master thesis 2021
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Smit, Jim (author)
Background: The covid-19 pandemic has overwhelmed hospitals worldwide and clinical prediction models may assist in timely identification of covid-19 patients at risk for clinical deterioration, i.e. `early warning'. In this article, we report on the development and validation of a new early warning model that predicts unplanned ICU admission or...
master thesis 2021
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Smit, Mitchell (author)
The Electric Vehicle Routing Problem (E-VRP) is an extension of the infamous Vehicle Routing Problem which asks which routing decisions an electric vehicle needs to take in order to traverse the network efficiently. Many extensions of this problem have been subject to research in the last decade and now that electric vehicles are starting to pop...
bachelor thesis 2021
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Kohabir, Amar (author), Smit, Alex (author)
When symptoms of atrial fibrillation (AF), a common cardiac arrhythmia, are experienced, a Holter monitor or event recorder is used for official diagnosis. Apart from the fact that these devices are experienced as inconvenient, AF can already manifest damage in a pre-symptomatic phase. This thesis is aimed at developing a method for recording...
bachelor thesis 2021
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Smit, Hein-Dirk (author)
In recent years, there has been a rise of electric propeller aircraft in the field of general aviation. These propeller aircraft greatly reduce the emissions and engine noise compared to conventional aircraft, but noise coming from the propeller stays unchanged. Acoustic imaging, using beamforming, could help in the characterization of...
master thesis 2021
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Smit, Jasper (author)
An application-specific instruction set processor (ASIP) can provide for higher power and computationalefficiency compared to general-purpose processors. These attributes are essential for implantable medicaldevices which often run computationally intensive tasks on a strict power budget. This thesis compilesa collection of benchmarks by porting...
master thesis 2021
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Smit, Beau (author)
Control augmentation systems based on Incremental Nonlinear Dynamic Inversion (INDI) are able to provide high-performance nonlinear control without the need for a model of the complete system. Considering a pitch rate control law for a fixed-wing aircraft, only a model for the elevator control effectiveness (CE) and sensor feedback of the pitch...
master thesis 2021
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Smit, Thijn (author)
The Netherlands is building to little in wood and relies way too much on high-emission materials, such as concrete. The building culture is changing, but way to gradual. In response to the scarcity of resources, nitrogen crisis, climate change and the housing crisis, the Netherlands has to turn more to biobased materials, foremost wood, as a...
master thesis 2021
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Leclercq, E.M. (author), Smit, M.J. (author)
De circulaire transitie wordt vaak gepresenteerd als uitsluitend een technologische opgave, maar deze raakt tegelijkertijd aan sociale, organisatorische en institutionele vraagstukken, die veel vragen oproepen over ontwerpprocessen, benodigde kennis en kunde, verantwoordelijkheid en taakverdeling. Het sluiten van de verschillende...
report 2021
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Valentine, David Callisto (author), Smit, I.R. (author), Kim, E.D.H. (author)
Trust is an important factor in building acceptance of autonomous vehicles within our society, but the complex nature of trust makes it challenging to design for an appropriate level of trust. This can lead to instances of mistrust and/or distrust between users and AV’s. Designing for calibrated trust is a possible option to address this...
journal article 2021
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Smit, Jordi (author), Ponnambalam, C.T. (author), Spaan, M.T.J. (author), Oliehoek, F.A. (author)
Offline reinforcement learning (RL), or learning from a fixed data set, is an attractive alternative to online RL. Offline RL promises to address the cost and safety implications of tak- ing numerous random or bad actions online, a crucial aspect of traditional RL that makes it difficult to apply in real-world problems. However, when RL is na...
conference paper 2021
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Remmerswaal, Evan (author), Weygers, Ive (author), Smit, G. (author), Kok, M. (author)
We present a novel approach to estimate the relative sensor orientation from inertial sensors placed on connected body segments. Drift in the relative orientation estimates obtained by integrating the gyroscope measurements is corrected solely by incorporating common information in the inertial sensor measurements due to the connection of the...
conference paper 2021
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de Ridder, M.P. (author), Smit, Pieter B. (author), van Dongeren, Ap R. (author), McCall, Robert T. (author), Nederhoff, Kees (author), Reniers, A.J.H.M. (author)
A 2-layer non-hydrostatic model with improved dispersive behaviour is presented. Due to the assumption of a constant non-hydrostatic pressure distribution in the lower layer, the dispersive behaviour is improved without much additional computational time. A comparison with linear wave theory showed that this 2-layer model gives a better...
journal article 2021
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Otero Rodriguez, G.J. (author), Smit, S.H.H.J. (author), Pecnik, Rene (author)
Organic Rankine cycle (ORC) systems are a readily available technology to convert thermal energy from renewable- and waste heat sources into electricity. However, their thermal performance is relatively low due to the low temperature of the available heat sources, but more importantly, due to the low efficiency of the employed expander....
journal article 2021
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Smit, G. (author)
Background: Current body-powered hands have very low acceptance rates. They also require high activation forces. In the past, a high acceptance rate was reported for the then-available Hüfner hand, a hand which could be controlled by relatively low activation forces. Objective: The aim of this study was to measure and quantify the mechanical...
journal article 2021
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den 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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Lumban-Gaol, Y. A. (author), Chen, Z. (author), Smit, M. (author), Li, X. (author), Erbaşu, M. A. (author), Verbree, E. (author), Balado Frías, J. (author), Meijers, B.M. (author), van der Vaart, C.G. (author)
Point cloud data have rich semantic representations and can benefit various applications towards a digital twin. However, they are unordered and anisotropically distributed, thus being unsuitable for a typical Convolutional Neural Networks (CNN) to handle. With the advance of deep learning, several neural networks claim to have solved the...
journal article 2021
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