Searched for: subject%3A%22label%22
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Chahbari, Maysa (author)
A relatively new concept within demand management for time window assignment is green labeling; time windows which contribute to improving the routing performance in terms of sustainability. Certain time slots are given a so-called green label. From literature, limited information is known about the choice preference with regard to green...
master thesis 2023
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Galjaard, Jeroen (author)
Few-shot learning presents the challenging problem of learning a task with only a few provided examples. Gradient-Based Meta-Learners (GBML) offer a solution for learning such few-shot problems. These learners approach the few-shot problem by learning an initial parameterization that requires only a few adaptation steps for new tasks. Although...
master thesis 2023
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Mazzoni, Filippo (author), Alvisi, Stefano (author), Franchini, Marco (author), Blokker, E.J.M. (author)
In the water industry, an accurate estimation of end-use water consumption is helpful for the implementation of efficient water systems and water-saving technologies. This study aimed to explore the characteristics of water consumption at nine households north of Amsterdam (the Netherlands), subjected to water consumption monitoring at high...
journal article 2023
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Men, Jinkun (author), Chen, Guohua (author), Reniers, G.L.L.M.E. (author), Rao, Xiaohui (author), Zeng, Tao (author)
Liquid storage tanks play a vital role in the modern chemical process industry (CPI). The strong ground motion caused by large-scale earthquakes may easily impose severe structural damage on liquid storage tanks, leading to a series of catastrophic cascaded events. The seismic damage estimation of liquid storage tanks is a challenging problem,...
journal article 2023
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Liu, C. (author), Uslamin, E. (author), Pidko, E.A. (author), Kapteijn, F. (author)
The nature of hydrocarbon pool (HCP) intermediates in the methanol-to-hydrocarbons (MTH) process has been thoroughly investigated, especially for BEA- and CHA-type zeolite catalysts like H-β and H-SAPO-34. Herein, we further reveal the dynamic mechanistic details of the MTH process over the H-ZSM-5 catalyst at 400 °C, based on the dual-cycle...
journal article 2023
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Wang, Wenhui (author)
Data drift refers to the variation in the production data compare to the training data and sometimes the machine learning model would decay because of it. Some machine learning models face the problem when in production: they receive drift data while there’s no ground truth to evaluate model performance, thus no way of determining the...
master thesis 2022
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Valentin, Mick (author)
For decades supermarkets have been seen as very conservative. However, it seems that food retailers are increasingly taking a proactive role in implementing new technologies in the food retail, shaping decision-making process from their own sales perspective. This research aims to identify the preferences of different technology implementation...
master thesis 2022
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van Thiel, Erwin (author)
Abstract—Multi-label classification is an important branch of classification problems as in many real world classification scenarios an object can belong to multiple classes simultaneously. Deep learning based classifiers perform well at image classifica- tion but their predictions have shown to be unstable when subject to small input...
master thesis 2022
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Noorthoek, Sterre (author)
In addition to delivering groceries at customers’ doorsteps, online supermarket Picnic goes the extra mile by aiming to improve customer satisfaction. For instance, by providing cooking inspiration to customers through a recently launched recipe page in the app. This feature presents new recipes weekly and allows customers to easily add the...
master thesis 2022
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Roozendaal, Philip (author)
Software Question & Answer platforms such as Stack Overflow allow users to annotate their posts with tags in order to help organize them and aid in their discoverability. This work sets out to study the machine learning techniques used to determine these tags automatically, and see how, and to what extent, these determinations could be...
bachelor thesis 2022
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Joss, Simon (author), Schraven, D.F.J. (author), de Jong, W.M. (author)
This data article presents a tripartite dataset that formed the empirical basis for a comprehensive bibliometric analysis of the use of city labels denoting sustainable urbanism in the scientific literature (Schraven, 2021). The tripartite dataset was generated using the abstract and citation database Scopus (Elsevier). Dataset A lists 148...
journal article 2022
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Xiang, Sheng Qi (author), de Agrela Pinto, C. (author), Baldus, Marc (author)
Membrane proteins are known to exert many essential biological functions by forming complexes in cell membranes. An example refers to the β-barrel assembly machinery (BAM), a 200 kDa pentameric complex containing BAM proteins A–E that catalyzes the essential process of protein insertion into the outer membrane of gram-negative bacteria. While...
journal article 2022
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Meijer, Simone (author), van Middendorp, Henriët (author), Peerdeman, Kaya J. (author), Evers, A.W.M. (author)
Persistent physical symptoms have a high prevalence and a large impact for patients and society. To date, treatment effects for these symptoms are often limited. Nocebo effects (i.e., negative outcomes that are not attributable to active treatment components) have a substantial influence on treatment success and can be established via...
journal article 2022
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Wen, C. (author), Bertosin, E. (author), Shi, X. (author), Dekker, C. (author), Schmid, Sonja (author)
Nanopores are versatile single-molecule sensors offering a simple label-free readout with great sensitivity. We recently introduced the nanopore electro-osmotic trap (NEOtrap) which can trap and sense single unmodified proteins for long times. The trapping is achieved by the electro-osmotic flow (EOF) generated from a DNA-origami sphere...
journal article 2022
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Zhang, Y. (author), Heinold, Arne (author), Meisel, Frank (author), Negenborn, R.R. (author), Atasoy, B. (author)
Sustainability is a common concern in intermodal transport. Collaboration among carriers may help in reducing emissions. In this context, this work establishes a collaborative planning model for intermodal transport and uses eco-labels (a series of different levels of emission ranges) to reflect shippers’ sustainability preferences. A...
journal article 2022
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Xu, Ying (author), Luo, D. (author), Qian, QK (author), Chan, Edwin Hon Wan (author)
In response to excessive energy consumption and severe pollution, green building has gained increasing attention around the world. Governments’ top-down incentive schemes and consumers’ bottom-up choice preferences are two major channels of residential green building promotion. Regarding the bottom-up route, high liveability performance is...
journal article 2022
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Draws, T.A. (author), Inel, O. (author), Tintarev, N. (author), Baden, Christian (author), Timmermans, Benjamin (author)
Research in the area of human information interaction (HII) typically represents viewpoints on debated topics in a binary fashion, as either against or in favor of a given topic (e.g., the feminist movement). This simple taxonomy, however, greatly reduces the latent richness of viewpoints and thereby limits the potential of research and...
conference paper 2022
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Commandeur, Joost (author)
In this thesis BRIGHT, a multi-objective evolutionary algorithm for the creation of treatment plans for high-dose rate brachytherapy for prostate cancer, is extended with a new objective to mitigate the formation of high dose contiguous volumes, i.e. hotspots. Multiple new objectives are tested on their performance to reduce hotspots, while...
master thesis 2021
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van Amerongen, Sarah (author)
The textile industry is one of the largest industries in the world. It brings economic wealth to many countries but is also one of the largest contributors to environmental pollution. Textile companies nowadays often mention sustainability in their business models. However, it is noticed that consumers do not trust the word sustainability when...
master thesis 2021
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Basting, Mark (author)
Multi-label learning is becoming more and moreimportant as real-world data often contains multi-ple labels. The dataset used for learning such aclassifier is of great importance. Acquiring a cor-rectly labelled dataset is however a difficult task.Active learning is a method which can, given anoisy dataset, identify important instances for...
bachelor thesis 2021
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