- document
-
van den Broek, Sem (author)Visible light sensing is a field of research that creates new possibilities for human-computer interaction. This research shows the viability of designing a system for detecting hand gestures using a cost-effective detection circuit employing 3 light-sensitive photodiodes. The way this research shows viability is by developing a machine-learning...bachelor thesis 2023
- document
-
Vaessen, Kasper (author)Classification of sedentary activities using gaze tracking data can be of great use in fields such as teaching, human-computer interaction and surveilling. Conventional machine learning methods such as k-nearest neighbours, random forest and support vector machine might be used to classify such activities, but this requires knowledge about the...bachelor thesis 2022
- document
-
van Diepen, Aaron (author)Recurrent neural networks (RNNs) used in time series prediction are still not perfect in their predictions and improvements can still be made in the area. Most recently transformers have led to great improvements in the field of RNNs, however transformers can not be used on time series data, because the architecture of transformers does not...bachelor thesis 2021
- document
-
Üzel, Ziyar (author)Accurate short-term traffic forecasting plays a crucial role in Intelligent Transportation Systems for effective traffic management and planning. In this study, the performances of three popular forecasting models are explored: Long Short-Term Memory (LSTM), Autoregressive Integrated Moving Average (ARIMA), and Facebook's Prophet, for short-term...bachelor thesis 2023
- document
-
Nachev, Nikola (author)Accurate traffic forecasts are a key element in improving the traffic flow of urban cities. An efficient approach to this problem is to use a deep learning Long Short Term Memory (LSTM) model. Including weather data in the model can improve prediction accuracy because traffic volumes are sensitive to weather changes. The aim of this study is to...bachelor thesis 2023
- document
-
Kuiper, Thomas (author)The amount of cars on the roads is increasing at a rapid pace, causing traffic jams to become commonplace. One way to decrease the amount of traffic congestion is by building an Intelligent Transportation System (ITS) which helps traffic flow optimally. An important tool for an ITS is short term traffic forecasting. Better forecasts will enable...bachelor thesis 2023
- document
-
Charlot, Amaury (author)Different methods have been studied to predict earthquakes, but the results are still far from optimal. Due to their seemingly dynamic and unpredictable nature, it has been very hard to find data correlating with earthquakes happening. But recently, various research has been done using neural networks, and some has suggested that it could...bachelor thesis 2022
- document
-
Şen, Sina (author)The introduction of Attention Long Short Term Memory (ALSTM) produces an alternative to Long Short Term Memory (LSTM) by aiming to optimize information passing via removing the complexity of the cells in LSTM. In this work, the results and comparison of the performance of LSTM algorithms versus ALSTM architectures are assessed through the...bachelor thesis 2021
- document
-
Assessing Methods for Handling Missing Data Using an LSTM Deep Learning Model in Traffic ForecastingBüthker, Wouter (author)Due to the increasing popularity of various types of sensors in traffic management, it has become significantly easier to collect data on traffic flow. However, the integrity of these data sets is often compromised due to missing values resulting from sensor failures, communication errors, and other malfunctions. This study investigates the...bachelor thesis 2023
- document
-
van den Belt, Glenn (author)Earthquakes can have tremendous effects. They can result in casualties, massive damage, and hurt the economy. Therefore, one would like to predict earthquakes as early as possible and with the highest accuracy possible. This paper contains the proposal for the optimal prediction-time, which is the time between the execution of a prediction and...bachelor thesis 2022
- document
-
Wang, Mingshi (author)According to the development of data-related techniques, aimed at exploring the largest value of data, price prediction has been seen as more vital for quantifying and pricing stock. To solve this problem, the learning based algorithm became popular during modern computing techniques development. LSTM (Long Short-Term Memory) techniques attract...bachelor thesis 2021
- document
-
Li, Zhenghui (author), Le Kernec, Julien (author), Fioranelli, F. (author), Romain, Olivier (author), Zhang, Lei (author), Yang, Shufan (author)In personnel recognition based on radar, significant research exists on statistical features extracted from the micro-Doppler signatures, whereas research considering other domains and information such as phase is less developed. This paper presents the use of deep learning methods to integrate both phase and magnitude features from range...conference paper 2021
- document
-
Guendel, Ronny (author), Ullmann, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)Radar-based human activity recognition in crowded environments using regression approaches is addressed. Whereas previous research has focused on single activities and subjects, the problem of continuous activity recognition involving up to five individuals moving in arbitrary directions in an indoor area is introduced. To treat the problem, a...conference paper 2023
- document
-
Guendel, Ronny (author), Fioranelli, F. (author), Yarovoy, Alexander (author)Continuous Human Activity Recognition (HAR) in arbitrary directions is investigated using 5 spatially distributed pulsed Ultra-Wideband (UWB) radars. Such activities performed in arbitrary and unconstrained trajectories render a more natural occurrence of Activities of Daily Living (ADL) to be recognized. An innovative signal level fusion method...conference paper 2022
- document
-
Presekal, A. (author), Stefanov, Alexandru (author), Subramaniam Rajkumar, Vetrivel (author), Palensky, P. (author)The cyber attacks in Ukraine in 2015 and 2016 demonstrated the vulnerability of electrical power grids to cyber threats. They highlighted the significance of Operational Technology (OT) communication-based anomaly detection. Many anomaly detection methods are based on real-time traffic monitoring, i.e., Intrusion Detection Systems (IDS) that may...conference paper 2023
- document
-
Kim, Jaehun (author), Won, Minz (author), Liem, C.C.S. (author), Hanjalic, A. (author)In this paper, we propose a hybrid Neural Collaborative Filtering (NCF) model trained with a multi-objective function to achieve a music playlist generation system. The proposed approach focuses particularly on the cold-start problem (playlists with no seed tracks) and uses a text encoder employing a Recurrent Neural Network (RNN) to exploit...conference paper 2018
- document
-
de Jong, S.D.M. (author), Ghorbani Ghezeljehmeidan, A. (author), van Driel, W.D. (author)The ability to accurately predict the reliability and lifetime of electronics is of great importance to the industry. The failure of the solder joint is of particular interest for these predictions, because of their susceptibility to failure under thermo-mechanical stress. However, the experimental or even conventional simulation techniques...conference paper 2024
- document
-
Wu, D. (author), Ha, Xuan Thao (author), Zhang, Yao (author), Ourak, Mouloud (author), Borghesan, Gianni (author), Niu, Kenan (author), Trauzettel, F. (author), Dankelman, J. (author), Menciassi, Arianna (author), Poorten, Emmanuel Vander (author)In cardiovascular interventions, when steering catheters and especially robotic catheters, great care should be paid to prevent applying too large forces on the vessel walls as this could dislodge calcifications, induce scars or even cause perforation. To address this challenge, this paper presents a novel compliant motion control algorithm...journal article 2022
- document
-
Wu, Di (author), Zhang, Yao (author), Ourak, Mouloud (author), Niu, Kenan (author), Dankelman, J. (author), Vander Poorten, Emmanuel B. (author)Catheters are increasingly being used to tackle problems in the cardiovascular system. However, positioning precision of the catheter tip is negatively affected by hysteresis. To ensure tissue damage due to imprecise positioning is avoided, hysteresis is to be understood and compensated for. This work investigates the feasibility to model...journal article 2021
- document
-
Wilbrand, K. (author), Taormina, R. (author), ten Veldhuis, Marie-claire (author), Visser, Martijn (author), Hrachowitz, M. (author), Nuttall, Jonathan (author), Dahm, Ruben (author)Streamflow predictions remain a challenge for poorly gauged and ungauged catchments. Recent research has shown that deep learning methods based on Long Short-Term Memory (LSTM) cells outperform process-based hydrological models for rainfall-runoff modeling, opening new possibilities for prediction in ungauged basins (PUB). These studies usually...journal article 2023