Searched for: subject%3A%22estimation%22
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Rodewijk, Koen (author)
Atrial fibrillation (AF) is the most commonly occurring arrhythmia in clinical practice and can have a significant impact on the current and future wellbeing of the patient. By placing an unipolar sensor array directly on the epicardium during an open-heart surgery to measure the electrical activity of the atrium, more insight about this disease...
master thesis 2023
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van Herwerden, Thijs (author)
Fiber reinforced composites have been increasingly used in the aerospace and automotive industry, due to their potential advantages for designing flexible, strong and lightweight structures. More recently they are also being considered for the manufacturing of marine propellers. Since they have the potential to lower the weight, lower the...
master thesis 2023
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Janssen, Diederik (author)
The dredging industry is a contributor to the greenhouse gas (GHG) emissions due to the energy-intensive process of dredging and transporting sediment. This industry has to reduce the GHG emissions due to future possible restricting regulations on GHG emissions. The dredging industry is shifting towards more environmentally friendly fuels, but...
master thesis 2023
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Nagtegaal, M.A. (author)
Magnetic Resonance Imaging (MRI) is a flexible medical imaging technique that facilitates measurement of a wide range of contrasts particularly in soft tissue (e.g. brain and heart). Conventionally, qualitative images are acquired in which certain physical tissue properties are emphasized such as the transverse and longitudinal relaxation times....
doctoral thesis 2023
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Rol, Remy (author)
master thesis 2023
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van Baasbank, Erik (author)
Charting hyperlocal wind using a drone is a challenge of increased attention as it unlocks potential in a variety of fields. In context of the METeo Sensors In the Sky project, this study proposes a method to estimate the magnitude and direction of wind using a quadcopter in hover and cruise without a dedicated wind sensor. Only on-board sensors...
master thesis 2023
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Brill, Patrick (author)
To improve the safety of commercial air transport, pilots are required to train on simulators to recognize the characteristics of an impeding stall and subsequently correctly recover from it. To prevent negative training, it is important that the accuracy of the used simulation models is high. A manner to model the nonlinear, unsteady...
master thesis 2023
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Varga, Roland (author)
Many recent robot learning problems, real and simulated, were addressed using deep reinforcement learning. The developed policies can deal with high-dimensional, continuous state and action spaces, and can also incorporate machine-generated or human demonstration data. A great number of them depend on state-action value estimates, especially the...
master thesis 2023
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Dobson, Daniel (author)
Street view imagery (SVI) is one of the largest (growing) resources in urban analytics. A global close-up of the urban environment, if you will, which is rich in (untapped) information such as floor count. Floor count is useful in many applications, from improving energy consumption calculations to creation of 3D city models without elevation...
master thesis 2023
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Smienk, Hugo (author)
One of the fundamental goals for the success of a construction project is found to be completion within the budget. To reach this goal, cost estimation is a key process which can be divided into the estimation of direct and indirect costs. Unlike direct costs, indirect costs are not directly connected with the performance of any particular...
master thesis 2023
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Tsaniklidis, Georgios (author)
Nowadays, the high demand for road transportation often reaches a point where it exceeds the capacity of freeway traffic networks, resulting in congestion. Freeway traffic congestion is a major social problem, as it is the reason for increased time delays, higher accident risk and environmental pollution. There is, therefore, the need for a...
master thesis 2023
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Li, L. (author), Martinez, Jorge (author), Hendriks, R.C. (author)
Estimation of the acoustic-scene related parameters such as relative transfer functions (RTFs) from source to microphones, source power spectral densities (PSDs) and PSDs of the late reverberation is essential and also challenging. Existing maximum likelihood estimators typically consider only subsets of these parameters and use each time frame...
journal article 2023
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Chen, Qiting (author), Jia, Li (author), Menenti, M. (author), Hu, Guangcheng (author), Wang, Kun (author), Yi, Zhiwei (author), Zhou, Jie (author), Peng, Fei (author), Ma, Shaoxiu (author)
Information on crop yield is important for food security, in particular under the conditions of climate change and growing population worldwide. We developed a new fully distributed, high spatial resolution, model of biomass accumulation and crop yield applicable to a highly heterogeneous desert-oasis agroecosystem. The bulk of required input...
journal article 2023
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Brederode, L.J.N. (author), Pel, A.J. (author), Wismans, Luc (author), Rijksen, Bernike (author), Hoogendoorn, S.P. (author)
This paper presents an efficient solution method for the matrix estimation problem using a static capacity constrained traffic assignment (SCCTA) model with residual queues. The solution method allows for inclusion of route queuing delays and congestion patterns besides the traditional link flows and prior demand matrix whilst the...
journal article 2023
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Cunillera, A. (author), Bešinović, Nikola (author), Lentink, Ramon M. (author), van Oort, N. (author), Goverde, R.M.P. (author)
The dynamics of a moving train are usually described by means of a motion model based on Newton’s second law. This model uses as input track geometry data and train characteristics like mass, the parameters that model the running resistance, the maximum tractive effort and power, and the brake rates to be applied. It can reproduce...
journal article 2023
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Lao-Martil, David (author), Verhagen, K.J.A. (author), Valdeira Caetano, Ana H. (author), Pardijs, Ilse H. (author), van Riel, Natal A.W. (author), Wahl, S.A. (author)
Microbial metabolism is strongly dependent on the environmental conditions. While these can be well controlled under laboratory conditions, large-scale bioreactors are characterized by inhomogeneities and consequently dynamic conditions for the organisms. How Saccharomyces cerevisiae response to frequent perturbations in industrial...
journal article 2023
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Ramamohan, Krishnaprasad Nambur (author), Chepuri, Sundeep Prabhakar (author), Comesana, Daniel Fernandez (author), Leus, G.J.T. (author)
In this work, we consider the self-calibration problem of joint calibration and direction-of-Arrival (DOA) estimation using acoustic sensor arrays. Unlike many previous iterative approaches, we propose solvers that can be readily used for both linear and non-linear arrays for jointly estimating the sensor gain, phase errors, and the source...
journal article 2023
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Chatterjee, Sarthak (author), Alessandretti, Andrea (author), Aguiar, A. Pedro (author), Gonçalves Melo Pequito, S.D. (author)
Fractional-order dynamical networks are increasingly being used to model and describe processes demonstrating long-term memory or complex interlaced dependencies amongst the spatial and temporal components of a wide variety of dynamical networks. Notable examples include networked control systems or neurophysiological networks which are...
journal article 2023
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Meo, Cristian (author), Franzese, G. (author), Pezzato, C. (author), Spahn, M. (author), Lanillos, Pablo (author)
Adaptation to external and internal changes is of major importance for robotic systems in uncertain environments. Here we present a novel multisensory active inference torque controller for industrial arms that shows how prediction can be used to resolve adaptation. Our controller, inspired by the predictive brain hypothesis, improves the...
journal article 2023
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Wang, Lechen (author), Mao, Jianfeng (author), Li, L. (author), Li, Xuechun (author), Tu, Yilei (author)
Predicting Estimated Time of Arrival (ETA) for a Multi-Airport System (MAS) is much more challenging than for a single airport system because of complex air route structure, dense air traffic volume and vagaries of traffic conditions in an MAS. In this work, we propose a novel “Bubble” mechanism to accurately predict medium-term ETA for a...
journal article 2023
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