Searched for: +
(101 - 120 of 251)

Pages

document
de Boer, Bas (author), Kudina, O. (author)
In this paper, we examine the qualitative moral impact of machine learning-based clinical decision support systems in the process of medical diagnosis. To date, discussions about machine learning in this context have focused on problems that can be measured and assessed quantitatively, such as by estimating the extent of potential harm or...
journal article 2022
document
Xu, R. (author), Zhou, Xu Hui (author), Han, Jiequn (author), Dwight, R.P. (author), Xiao, Heng (author)
In fluid dynamics, constitutive models are often used to describe the unresolved turbulence and to close the Reynolds averaged Navier–Stokes (RANS) equations. Traditional PDE-based constitutive models are usually too rigid to calibrate with a large set of high-fidelity data. Moreover, commonly used turbulence models are based on the weak...
journal article 2022
document
Doijode, P.S. (author), Hickel, S. (author), van Terwisga, T.J.C. (author), Visser, K. (author)
This paper introduces a machine learning approach for optimizing propellers. The method aims to improve the computational cost of optimization by reducing the number of evaluations required to find solutions. This is achieved by directing the search towards design clusters with good performance, i.e. high propulsive efficiency and low...
journal article 2022
document
Yang, Yang (author), Shao, Zheping (author), Hu, Yu (author), Mei, Qiang (author), Pan, Jiacai (author), Song, R. (author), Wang, Peng (author)
Safety analysis according to the spatial distribution characteristics of maritime traffic accidents is critical to maritime traffic safety management. An accident analysis framework based on the geographic information system (GIS) is proposed to characterize the spatial distribution of maritime traffic accidents occurring in the Fujian sea area...
journal article 2022
document
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
document
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
document
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
document
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
document
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
document
Liang, M. (author), Chang, Z. (author), Wan, Z. (author), Gan, Y. (author), Schlangen, E. (author), Šavija, B. (author)
This study aims to provide an efficient and accurate machine learning (ML) approach for predicting the creep behavior of concrete. Three ensemble machine learning (EML) models are selected in this study: Random Forest (RF), Extreme Gradient Boosting Machine (XGBoost) and Light Gradient Boosting Machine (LGBM). Firstly, the creep data in...
journal article 2022
document
Castillo, J.M. (author), Arif, M. (author), Starmans, M.P.A. (author), Niessen, W.J. (author), Bangma, C.H. (author), Schoots, Ivo G. (author), Veenland, J.F. (author)
The computer-aided analysis of prostate multiparametric MRI (mpMRI) could improve significant-prostate-cancer (PCa) detection. Various deep-learning-and radiomics-based methods for significant-PCa segmentation or classification have been reported in the literature. To be able to assess the generalizability of the performance of these methods,...
journal article 2022
document
Steiner, J. (author), Dwight, R.P. (author), Viré, A.C. (author)
The state-of-the-art in wind-farm flow-physics modeling is Large Eddy Simulation (LES) which makes accurate predictions of most relevant physics, but requires extensive computational resources. The next-fidelity model types are Reynolds-Averaged Navier–Stokes (RANS) which are two orders of magnitude cheaper, but resolve only mean quantities...
journal article 2022
document
Visser, L. R. (author), Kootte, M.E. (author), Ferreira, A. C. (author), Sicurani, O. (author), Pauwels, E. J. (author), Vuik, Cornelis (author), Van Sark, W. G.J.H.M. (author), AlSkaif, T. A. (author)
Fluctuating electricity prices offer potential economic savings for the consumption of electricity by flexible assets such as Electric Vehicles (EVs). This study proposes an operational bidding framework that minimizes the charging costs of an EV fleet by submitting an optimized bid to the day-ahead electricity market. The framework consists...
journal article 2022
document
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
document
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
document
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
document
van Cranenburgh, S. (author), Wang, Shenhao (author), Vij, Akshay (author), Pereira, Francisco (author), Walker, Joan (author)
Since its inception, the choice modelling field has been dominated by theory-driven modelling approaches. Machine learning offers an alternative data-driven approach for modelling choice behaviour and is increasingly drawing interest in our field. Cross-pollination of machine learning models, techniques and practices could help overcome problems...
journal article 2022
document
Cuperman, Rafael (author), Jansen, K.M.B. (author), Ciszewski, M.G. (author)
Action statistics in sports, such as the number of sprints and jumps, along with the details of the corresponding locomotor actions, are of high interest to coaches and players, as well as medical staff. Current video-based systems have the disadvantage that they are costly and not easily transportable to new locations. In this study, we...
journal article 2022
document
Doijode, P.S. (author), Hickel, S. (author), van Terwisga, T.J.C. (author), Visser, K. (author)
We propose and analyse an optimization method that uses a machine learning approach to solve multi-objective, constrained propeller optimization problems. The method uses an online learning strategy where explainable supervised classifiers learn the location of the Pareto front and advise search strategies. The classifiers are trained with...
journal article 2022
document
Mohammadi, Reza (author), Lal, C. (author), Conti, M. (author)
Nowadays, the number of Distributed Denial of Service (DDoS) attacks is growing rapidly. The aim of these type of attacks is to make the prominent and critical services unavailable for legitimate users. HTTP flooding is one of the most common DDoS attacks and because of its implementation in application layer, it is difficult to detect and...
journal article 2022
Searched for: +
(101 - 120 of 251)

Pages