Searched for: subject%3A%22regression%255C+models%22
(1 - 20 of 27)

Pages

document
Bizzarri, D. (author), Reinders, M.J.T. (author), Beekman, M. (author), Slagboom, P. E. (author), van den Akker, E.B. (author)
Background: Missing or incomplete phenotypic information can severely deteriorate the statistical power in epidemiological studies. High-throughput quantification of small-molecules in bio-samples, i.e. ‘metabolomics’, is steadily gaining popularity, as it is highly informative for various phenotypical characteristics. Here we aim to leverage...
journal article 2022
document
Vleugels, Jochen (author), Veelaert, Lore (author), Peeters, T.H. (author), Huysmans, T. (author), Danckaers, Femke (author), Verwulgen, Stijn (author)
Featured Application: Improving garment selection without manual measuring for made-to-order sports garments. As sports garments are stretchable, different sizing tables are used than for retail clothing. However, customers measuring themselves leads to errors and unsatisfaction, since these customized branded garments cannot be returned....
journal article 2022
document
Ibraeva, Anna (author), Correia, Gonçalo (author), Silva, Cecília (author), Pais Antunes, António (author)
Transit-oriented development (TOD), an urban planning concept that aims to promote sustainable transport modes, has been actively studied in recent years, especially in relation to car trips reduction. However, longitudinal studies on the matter are still rare. In this paper, we analyze the effects of the implementation of a new metro system...
journal article 2022
document
Ibraeva, Anna (author), Correia, Gonçalo (author), Silva, Cecília (author), Antunes, António Pais (author)
Few studies have analyzed the mobility impacts of TOD using a longitudinal research approach, and even fewer incorporated origin–destination (OD) information in the analysis. In this paper, we examine the impacts of a metro system with TOD features on the share of car and bus trips using Metro do Porto as a case study. The application of an...
journal article 2022
document
Varotto, Silvia F. (author), Mons, Celina (author), Hogema, Jeroen H. (author), Christoph, Michiel (author), van Nes, C.N. (author), Martens, Marieke H. (author)
Advanced driver assistance systems such as adaptive cruise control (ACC) and lane keeping system (LKS) potentially contribute to reducing crash rates and traffic congestion. On-road studies based on early ACC systems operational at medium–high speeds only have shown that the system reduces the proportion of short time gaps when activated....
journal article 2022
document
Bonnet, Damiaan (author)
The goal of this thesis is to implement and experiment with a Bayesian way of estimating a (smooth) monotone regression function by applying it to climate data. The method we use is proposed by Neelon and Dunson. This method uses a piece-wise linear model for the unknown regression function and enforces the monotonicity constraint by the...
bachelor thesis 2021
document
Lago, Jesus (author), Marcjasz, Grzegorz (author), De Schutter, B.H.K. (author), Weron, Rafał (author)
While the field of electricity price forecasting has benefited from plenty of contributions in the last two decades, it arguably lacks a rigorous approach to evaluating new predictive algorithms. The latter are often compared using unique, not publicly available datasets and across too short and limited to one market test samples. The...
review 2021
document
Varotto, Silvia F. (author), Jansen, Reinier (author), Bijleveld, Frits (author), van Nes, C.N. (author)
Automatic incident detection (AID) systems and variable speed limits (VSLs) can reduce crash probability and traffic congestion. Studies based on loop detector data have shown that AID systems decrease the variation in speeds between drivers. Despite the impact on driver behaviour characteristics, most mathematical models evaluating the...
journal article 2021
document
Brouwer, Wietske (author), van Hamel, Amber (author), van Haren, Mick (author), Kindermann, Paulina (author), Verboeket, Rik (author)
The Kathmandu Valley in Nepal is facing the combined effects of population growth, rapid urbanization, economic development, and climate change. This results in serious water management challenges: growing freshwater demands, declining water tables, drying of streams, and deteriorating water quality. Insufficient surface water supplies have led...
student report 2020
document
Borst, Nick (author)
Estimating the RUL (Remaining Useful Life) of machinery is a useful tool for maintenance and performance operations. This results in lower costs, improved safety and operational improvements.<br/>This paper proposes two adaptations to the CNN-LSTM network provided by Li et al. \cite{Li2019APrediction}, as well as exploring reproducibility,...
master thesis 2020
document
Nikiforiadis, Andreas (author), Roukouni, A. (author), Basbas, Socrates (author), Chrysostomou, Katerina (author)
There is a great number of studies which have proved that a new or improved transport system has an important impact on land uses and real estate prices. While there are many studies which examine the effect of a new urban public transport system on the values of neighbouring properties, the number of researches which focus on the...
journal article 2020
document
van der Plas, Leon (author)
In the construction industry, it is common to predict manufacturing times of structural elements based on the experience of shop managers. With the increasing use of Building Information Models (BIM) and data analysis in manufacturing processes an opportunity for improving the accuracy of predicted manufacturing times arises. This research...
master thesis 2019
document
Musta, E. (author)
In this thesis we address the problem of estimating a curve of interest (which might be a probability density, a failure rate or a regression function) under monotonicity constraints. The main concern is investigating large sample distributional properties of smooth isotonic estimators, which have a faster rate of convergence and a nicer...
doctoral thesis 2019
document
Manfren, Massimiliano (author), Nastasi, B. (author)
Data analysis methodologies are crucial to learn insights from data and to create more trust in the assumptions used for energy performance assessment. Indeed, continuous performance monitoring should become a more diffuse practice in order to improve our design and operation strategies for the future. This is an essential step to reduce...
journal article 2019
document
van Galen, Jan Willem (author)
In proton therapy, the calculation of the dose distribution is of great importance in order to find the best treatment plan. For a treatment plan with high quality, several error scenarios are investigated, in order to come up with a general plan that suits best in these scenarios. All of the scenarios have a different simulated error, e.g., in...
bachelor thesis 2018
document
Lopuhaä, H.P. (author), Musta, E. (author)
We consider the smoothed maximum likelihood estimator and the smoothed Grenander-type estimator for a monotone baseline hazard rate 0 in the Cox model. We analyze their asymptotic behaviour and show that they are asymptotically normal at rate nm=.2mC1/, when 0 is m 2 times continuously differentiable, and that both estimators are...
journal article 2018
document
Macarulla Rodriguez, Andrea (author), Tiberius, C.C.J.M. (author), van Bree, Roel (author), Geradts, Zeno (author)
Google Location Timeline, once activated, allows to track devices and save their locations. This feature might be useful in the future as available data for evidence in investigations. For that, the court would be interested in the reliability of these data. The position is presented in the form of a pair of coordinates and a radius, hence...
journal article 2018
document
Masilamani, S. (author)
This study improves the Short term wind power forecasting to help bid the wind power in the electricity market. Supplying power lesser/greater than the expected power creates imbalance in the Electricity system. Hence electricity markets impose penalty for supplying power lesser/greater than expected power. Bidding right amount of power is an...
master thesis 2017
document
Achmadnoer Sukma Wicaksana, Sukma (author)
Video blogs (vlogs) are a popular media form for people to present themselves. In case a vlogger would be a job candidate, vlog content can be useful for automatically assessing the candidate's traits, as well as potential interviewability. Using a dataset from the CVPR ChaLearn competition, we build a model predicting Big Five personality trait...
master thesis 2017
document
Berghuis, Veerle (author)
ASML produces TwinScan NXT machines that are used for the production of microchips. The machines ensure that an accurate pattern of DUV-light passes a lens and that it is projected as accurate as possible on the wafer. To ensure that the focal point of the converged DUV-light falls exactly onto the wafer, the leveling functionality is of great...
master thesis 2017
Searched for: subject%3A%22regression%255C+models%22
(1 - 20 of 27)

Pages