Searched for: subject%3A%22Machine%255C%2BLearning%22
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Narchi, William (author)
This paper presents how a convolutional neural network can be constructed in order to recognise gestures using photodiodes and ambient light. A number of candidates are presented and evaluated, with the most performant being adopted for in-depth analysis. This network is then compressed in order to be ran on an Arduino Nano 33 BLE...
bachelor thesis 2022
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Li, W. (author)
Multi-phase metallic materials such as Advanced High-Strength Steels (AHSS) are of great importance in a wide variety of high-tech industries due to their higher strength compared to conventional (mild) forming steels. The higher strength leads to various advantages in weight, safety and environmental friendliness. In order to develop new AHHS...
doctoral thesis 2022
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Karahan, Asli (author)
Healthcare recommender systems emerged to help patients make better decisions for their health, leveraging the vast amount of data and patient experience. One type of this system focuses on recommending the most appropriate physician based on previous patient feedback in the form of ratings. Such advice can be challenging to generate for new...
master thesis 2022
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Zhang, Haiyin (author)
The popularity of machine learning has wildly expanded in recent years. Machine learning techniques have been heatedly studied in academia and applied in the industry to create business value. However, there is a lack of guidelines for code quality in machine learning applications. Although machine learning code is usually integrated as a small...
master thesis 2022
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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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de Haas, Matthew (author)
In this thesis a grey-box model is developed to predict the power increase over time due to marine biofouling. Biofouling is known as the undesired adverse effect of living organisms growing on submerged surfaces. Fouling creates roughness on the hull and propeller and thus additional frictional resistance and loss of propeller efficiency, also...
master thesis 2022
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Karpova, Natalia (author)
Anomaly detection has gathered plenty of attention in the previous years. However, there is little evidence of the fact that existing anomaly detection models could show similar performance on different streaming datasets. <br/>Within this study, we research the applicability of existing anomaly detectors to a wide range of univariate streams....
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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Khan, Arghem (author)
Artificial Intelligence (AI) and Machine learning (ML) applications are being widely used to solve different problems in different sectors. These applications have enabled the human-effort and involvement to be very low. The AI/ML systems<br/>make their own predictions and do not require a great deal of human help. However, over the last few...
bachelor thesis 2022
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Langhorst, Lars (author)
To keep the Panama Canal operational year round, the water level in the canal is maintained above the minimum depth. As water is passed through the locks and into the oceans on either side, the canals main reservoir looses fresh water, and this water is then replaced by the canals secondary reservoir which is Lake Alajuela. The Lake Alajuela...
master thesis 2022
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de Haro Pizarroso, Gabriel (author)
Reinforcement Learning is being increasingly applied to flight control tasks, with the objective of developing truly autonomous flying vehicles able to traverse highly variable environments and adapt to unknown situations or possible failures. However, the development of these increasingly complex models and algorithms further reduces our...
master thesis 2022
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Brouwer, Hans (author)
Synthesizing audio-reactive videos to accompany music is challenging multi-domain task that requires both a visual synthesis skill-set and an understanding of musical information extraction. In recent years a new flexible class of visual synthesis methods has gained popularity: generative adversarial networks. These deep neural networks can be...
master thesis 2022
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van Gelder, Daniël (author)
Increased urbanisation has led to significant challenges for public transport operators. Inconsistent demand leads to peaks in passenger activity on the network. Moreover, the COVID-19 pandemic has introduced a need for social distancing as well, limiting the desired capacity of vehicles. To combat this, intelligent real-time and data-driven...
master thesis 2022
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van Dijk, Robert (author)
The appearance of an object or scene is determined by factors like the material, the lights, the geometry, the position of the observer, and the surroundings.<br/>Changes in these factors can be simulated using a projector-camera setup.<br/>Other research focuses on changing the appearance from the perspective of the projector, or on projector...
bachelor thesis 2022
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Ekici, B. (author)
Population growth and urbanisation trends bring many consequences related to the increase in global energy consumption, CO2 emissions and a decrease in arable land per person. High‑rises have been one of the inevitable buildings of metropoles to provide extra floor space since the early examples in the 19th century. Therefore, optimisation of...
doctoral thesis 2022
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Dankers, Kevin (author)
Batteries are an essential tool for energy transition. They provide the ability to reduce imbalances by absorbing the forecast errors for consumers and renewable energy sources. This has the added benefit that congestions occurring due to supply and demand mismatches would be prevented. Furthermore, they allow generating a stable power...
master thesis 2022
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Hofland, Jeroen (author)
Generalizing models for new unknown datasets is a common problem in machine learning. Algorithms that perform well for test instances with the same distribution as their training dataset often perform severely on new datasets with a different distribution. This problem is caused by distributional shifts between the training of the model and...
bachelor thesis 2022
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Al Haydar, Anhar (author)
Dynamic programming languages (DPLs), such as Python and Ruby, are often used for their flexibility and fast development. The absence of static typing can lead to runtime exceptions and reduced program understandability. To overcome these problems, some DPLs have introduced optional static typing. Because of the tedious effort of adding type...
bachelor thesis 2022
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Biedma Nuñez, Pablo (author)
The increasing dangers of unfairness in machine learning (ML) are becoming a frequent subject of discussion, both, in academia and popular media. Recent literature focused on introducing and assessing algorithmic solutions to bias in ML. However, there is a disconnect between these solutions and practitioners' needs. By interviewing 30 ML...
bachelor thesis 2022
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Psathas, Steffano (author)
A machine learning classifier can be tricked us- ing adversarial attacks, attacks that alter images slightly to make the target model misclassify the image. To create adversarial attacks on black-box classifiers, a substitute model can be created us- ing model stealing. The research question this re- port address is the topic of using model...
bachelor thesis 2022
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