Searched for: subject%3A%22Neural%255C%2Bnetwork%22
(1 - 20 of 64)

Pages

document
Garg, P. (author), Silvas, E. (author), Willems, F.P.T. (author)
For automotive powertrain control systems, the calibration effort is exploding due to growing system complexity and increasingly strict legal requirements for greenhouse gas and real-world pollutant emissions. These powertrain systems are characterized by their highly dynamic operation, so transient performance is key. Currently applied control...
article 2023
document
Rozenbroek, T. (author), Rojer, J. (author), Steenstra, L. (author), Hildmann, H. (author)
Underwater assets such as wind turbine foundations and other infrastructure require regular inspections. These inspections are currently performed by extensively trained divers or pilots of remotely operated underwater vehicles. Compact unmanned underwater vehicles could perform many of these tasks, and myriad others, with reduced risk and cost....
conference paper 2023
document
Sastry, S. (author), Garg, P. (author), Silvas, E. (author), Willems, F. (author)
Complexity of engine control systems is continuously growing due to an increased number of subsystems and the need for robust performance. For traditional map-based as well as state-of-the-art model-based approaches, this will lead to unacceptable development costs and time for future engines. Parametrization of the embedded models using...
conference paper 2022
document
Rozsas, A. (author), Slobbe, A. (author), Huizinga, W. (author), Kruithof, M. (author), ajithkumar Pillai, K. (author), Kleijn, K. (author), Giardina, G. (author)
This paper proposes an automated approach to predict crack pattern similarities that correlate well with assessment by structural engineers. We use Siamese convolutional neural networks (SCNN) that take two crack pattern images as inputs and output scalar similarity measures. We focus on 2D masonry facades with and without openings. The image...
article 2022
document
Shahmohammadi, M.S. (author), Parker, L.A. (author), Henke, S. (author), Urbanus, J.H. (author)
Microplastics are a growing environmental and toxicological concern, having been found in the remotest locations of the earth and within multiple organs of the human body. However, the scale of the problem is not yet fully known as the smallest micro- and nanoplastics (MNPs) cannot accurately be measured due to limitations in measurement and...
article 2022
document
van der Burg, E. (author), Hogervorst, M.A. (author), Toet, A. (author)
Natural scenes are typically highly heterogeneous, making it difficult to assess camouflage effectiveness for moving objects since their local contrast varies with their momentary position. Camouflage performance is usually assessed through visual search and detection experiments involving human observers. However, such studies are time...
conference paper 2022
document
Sharma, S. (author), van Lint, H. (author), Tavasszy, L. (author), Snelder, M. (author)
This paper studies and compares the gap selection process of multiple vehicle classes (passenger cars, delivery vans, and trucks) within their discretionary lane changing activities. Given a trajectory or a sequence of gap selection decisions, we aim to predict whether a vehicle will change or keep a lane. For this purpose, we use a large...
article 2022
document
Nadi, A. (author), Sharma, S. (author), van Lint, J.W.C. (author), Tavasszy, L. (author), Snelder, M. (author)
This paper proposes a data-driven transport modeling framework to assess the impact of freight departure time shift policies. We develop and apply the framework around the case of the port of Rotterdam. Container transport demand data and traffic data from the surrounding network are used as inputs. The model is based on a graph convolutional...
article 2022
document
Panoutsopoulos, H. (author), Brewster, C. (author)
AGROVOC is a well-known multilingual controlled vocabulary covering the fields of agriculture, forestry, fisheries, and food. It is used for dataset annotation, indexing of literature, and automated text tagging, and its effective use depends on its continuous update. Currently, updates are done manually by a dispersed community of editors. In...
conference paper 2022
document
van der Burg, E. (author), Hogervorst, M.A. (author), Toet, A. (author)
Natural scenes are typically highly heterogeneous, making it difficult to assess camouflage effectiveness for moving objects since their local contrast varies with their momentary position. Camouflage performance is usually assessed through visual search and detection experiments involving human observers. However, such studies are time...
conference paper 2022
document
Paardekooper, J.P. (author), Comi, M. (author), Grappiolo, C. (author), Snijders, R. (author), van Vught, W. (author), Beekelaar, R. (author)
An increasing number of tasks is being taken over from the human driver as automated driving technology is developed. Accidents have been reported in situations where the automated driving technology was not able to function according to specifications. As data-driven Artificial Intelligence (AI) systems are becoming more ubiquitous in automated...
conference paper 2021
document
Xu, M. (author), Jin, J. (author), Wang, G. (author), Segers, A. (author), Deng, T. (author), Lin, H.X. (author)
Air quality warning and forecasting systems are usually based on numerical chemical transport models (CTMs). Those dynamic models perform predictions by simulating the life cycles of the atmospheric components, including emission, transport and removal. However, the accuracy of these CTMs are still limited because of many imperfections, e.g.,...
article 2021
document
de Boer, M.H.T. (author), Hillerström, F.H.J. (author)
In Hybrid AI, machine learning and knowledge engineering are combined to have the best of both worlds. Insights obtained from data are combined with complementary expert knowledge, which can be represented in a graph structure. Graph networks are a recently new development in machine learning and cover methods that learn on graph structured data...
conference paper 2021
document
den Hollander, R.J.M. (author), van Rooij, S.B. (author), van den Broek, S.P. (author), Dijk, J. (author)
An important surveillance task during naval military operations is early risk assessment of vessels. The potential risk that a vessel poses will depend on the vessel type, and vessel classification is therefore a basic technique in risk assessment. Although automatic identification by AIS is widely available, the AIS transponders can potentially...
conference paper 2021
document
Nadi, A. (author), Sharma, S. (author), Snelder, M. (author), Bakri, T. (author), van Lint, H. (author), Tavasszy, L.A. (author)
article 2021
document
Korteling, J.E. (author), Gerritsma, J.Y.J. (author), Toet, A. (author)
Cognitive biases can adversely affect human judgment and decision making and should therefore preferably be mitigated, so that we can achieve our goals as effectively as possible. Hence, numerous bias mitigation interventions have been developed and evaluated. However, to be effective in practical situations beyond laboratory conditions, the...
article 2021
document
Xiao, C. (author), Leeuwenburgh, O. (author), Lin, H.X. (author), Heemink, A.W. (author)
article 2021
document
Burger, F. (author), Neerincx, M.A. (author), Brinkman, W.P. (author)
The cognitive approach to psychotherapy aims to change patients' maladaptive schemas, that is, overly negative views on themselves, the world, or the future. To obtain awareness of these views, they record their thought processes in situations that caused pathogenic emotional responses. The schemas underlying such thought records have, thus far,...
article 2021
document
Pasma, W. (author), Wesselink, E.M. (author), van Buuren, S. (author), de Graaff, J.C. (author), van Klei, W.A. (author)
Physiologic data from anesthesia monitors are automatically captured. Yet erroneous data are stored in the process as well. While this is not interfering with clinical care, research can be affected. Researchers should find ways to remove artifacts. The aim of the present study was to compare different artifact annotation strategies, and to...
article 2021
document
Snijders, R. (author), Pileggi, P.P. (author), Broekhuijsen, B.J. (author), Verriet, J. (author), Wiering, M. (author), Kok, J.K. (author)
Cyber-Physical Systems are becoming more autonomous, interconnected, complex and adaptive, and are expected to operate in highly dynamic environments. This is especially challenging for energy ecosystems that are increasingly difficult to control and maintain as the number of participating manufacturers and users grows. Digital Twins help analyze...
conference paper 2020
Searched for: subject%3A%22Neural%255C%2Bnetwork%22
(1 - 20 of 64)

Pages