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Kidiyur Sathish, Akarsh (author)
With the advent of offshore wind farms, the research into the various phenomenon that affects their performance is vast and detailed. But the effect of a particular phenomenon, atmospheric gravity waves (AGWs), on wind farm performance is limited. AGWs are oscillations of the airflow due to an imbalance in the buoyancy and gravity forces,...
master thesis 2022
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Yarally, Tim (author)
In this work, we look at the intersection of Sustainable Software Engineering and AI engineering known as Green AI. AI computing is rapidly becoming more expensive, calling for a change in design philosophy. We consider both training and inference of neural networks used for image vision; to reveal energy-efficient practices in an exploratory...
master thesis 2022
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de Wolf, Sarah (author)
Vehicle routing problems (VRP) and Container Loading Problems (CLP) have been studied for decades. However, the combination of the two deserves more attention than in the literature to date. When solving VRP problems, computed routes must be checked for feasibility. Among the feasibility checks to perform, we need to guarantee that the load plan...
master thesis 2022
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Nguyen, Dean (author)
Learning curves have been used extensively to analyse learners' behaviour and practical tasks such as model selection, speeding up training and tuning models. Nonetheless, we still have a relatively limited understanding of the behaviour of learning curves themselves, in particular, whether there exists a parametric function that can best model...
bachelor thesis 2022
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van Dijk, Max (author)
Mind wandering is a phenomenon that is used to describe moments where a person's attention appears to shift away to something that is not related to the primary task, which can have a negative influence on the task performance. In this research, the aim is to create a viable algorithm that can automatically detect mind wandering based on eye...
bachelor thesis 2022
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Achilleos, Andreas (author)
With the COVID-19 pandemic testing humanity worldwide in unforeseen ways, wellbeing assessment has stepped to the foreground of individual health status. Conversational User Interfaces (CUIs) prove promising as an assessment tool, but lacking the means to retain users engaged during the process. This research aims to explore a solution...
bachelor thesis 2022
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van der Toorn, Eric (author)
Next-Generation Sequencing (NGS) has made it possible to perform metagenomic sequencing of environmental microbiome samples. Colorectal cancer (CRC) benefits from early detection, and many studies find correlations between disease presence and abundance of species in samples of the microbiome. However, these studies are hard to reproduce and...
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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Buitenweg, Jurriaan (author)
To reduce food waste, the strawberry harvesting process should be optimized. In the modern era, computer vision can provide huge amounts of help. This paper focuses on optimizing pre-trained convolutional neural networks (CNN) to determine the maturity level of strawberries on a 1-10 scale. Here, 1 means unripe and 10 means overripe. Maturity...
bachelor thesis 2022
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Narra, Snigdha (author)
Aerosol is defined as the suspension of solid or liquid in the atmosphere. While some aerosols do not pose any serious threat to humankind, others have devastating effects. Thus, it is important to understand the type and distribution of these aerosols in the atmosphere. While traditional satellite data pose delays due to the huge amount of data...
master thesis 2022
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Kathmann, Harm (author)
Monitoring of the status of vegetation is required for nature conservation. However, doing this for large areas is a time intensive task. Now the use of aerial data from airplanes has made this task easier. However this data source is dependent on the weather conditions and permission to fly in the busy airspace above the Netherlands. An...
master thesis 2022
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Kapadia, Mihir (author)
Emotion Recognition is one of the vastly studied areas of affective computing. Attempts have been made to design emotion recognition systems for everyday settings. The ubiquitous nature of Intelligent voice assistants (IVAs) in households, make them a great anchor for the introduction of emotion recognition technology to consumers. The existing...
master thesis 2022
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Verschoor, Fleur (author)
Satellite data, such as optical and Synthetic Aperture Radar imagery, can provide information about the location and level of destruction caused by natural hazards. This information is essential to optimise the rescue mission logistics by humanitarian aid organisations and save people in need. Currently, many Automatic Damage Assessment (ADA)...
master thesis 2022
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Kooi, Emma (author)
Abstract— Visual occlusion can cause object detection and classification systems to fail due to swift movement or a soiled, moist or dusty environment. Hence, this asks for a ’blind’ collision detection and classification method. This paper presents a novel blind collision detection and classification scheme for a<br/>heavyweight, low-speed,...
master thesis 2022
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Koop, L. (author)
Because the seafloor is a complex ecosystem, a multidisciplinary approach must be adopted in order to produce comprehensive habitat maps. Such multidisciplinary projects have been lacking for the Dutch area of the North Sea. To address this lack, the Distribution, structure and functioning of low resilience seafloor communities and habitats of...
doctoral thesis 2022
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Hulleman, Sjoerd (author)
Music Information Retrieval (MIR) is a field of research that focusses on extracting information from music related data. This includes the genre of music and the beats per minute (BPM) of a song. Pipelines that extract this information from music are called feature extractors. Essentia is a library for such feature extraction. Often, the audio...
bachelor thesis 2022
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RUIZ ALBA, MAITE (author)
<b>Background and purpose</b>: One of the main challenges in external beam radiotherapy treatment of locally advanced cervical cancer patients is dealing with bladder and rectum filling. Organ filling causes inter­fraction motion of the uterus, requiring large treatment planning volumes, or a plan library. Current assessment of tumor position is...
master thesis 2022
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Zhang, F. (author), Yang, Y. (author), Fennis, Sonja A.A.M. (author), Hendriks, M.A.N. (author)
Acoustic emission (AE) signal parameters can be used to classify the source type in concrete structures. However, signal parameters are influenced by the wave propagation from the source to the receiver, leading to wrong source classification results, especially for monitoring large concrete structures. This paper experimentally evaluates the...
journal article 2022
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Kim, J. (author), Jonoski, Andreja (author), Solomatine, D.P. (author)
Cyanobacterial blooms appear by complex causes such as water quality, climate, and hydrological factors. This study aims to present the machine learning models to predict occurrences of these complicated cyanobacterial blooms efficiently and effectively. The dataset was classified into groups consisting of two, three, or four classes based on...
journal article 2022
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Bagbaba, Ahmet Cagri (author), Augusto da Silva, F. (author), Sonza Reorda, Matteo (author), Hamdioui, S. (author), Jenihhin, Maksim (author), Sauer, Christian (author)
ISO 26262 requires classifying random hardware faults based on their effects (safe, detected, or undetected) within integrated circuits used in automobiles. In general, this classification is addressed using expert judgment and a combination of tools. However, the growth of integrated circuit complexity creates a huge fault space; hence, this...
journal article 2022
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