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Papanastasiou, V. S. (author), Trommel, R. P. (author), Harmanny, R. I.A. (author), Yarovoy, Alexander (author)For the first time identification of human individuals using micro-Doppler (m-D) features measured at X-band has been demonstrated. Deep Convolutional Neural Networks (DCNNs) have been used to perform classification. Inspection and visualization of the classification results were performed using Uniform Manifold Approximation and Projection ...conference paper 2021
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Peschl, M. (author)We propose a deep reinforcement learning algorithm that employs an adversarial training strategy for adhering to implicit human norms alongside optimizing for a narrow goal objective. Previous methods which incorporate human values into reinforcement learning algorithms either scale poorly or assume hand-crafted state features. Our algorithm...conference paper 2021
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Yarally, Tim (author), Cruz, Luis (author), Feitosa, Daniel (author), Sallou, J. (author), van Deursen, A. (author)Modern AI practices all strive towards the same goal: better results. In the context of deep learning, the term "results"often refers to the achieved accuracy on a competitive problem set. In this paper, we adopt an idea from the emerging field of Green AI to consider energy consumption as a metric of equal importance to accuracy and to...conference paper 2023
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Bier, H.H. (author), Hidding, A.J. (author), Khademi, S. (author), van Engelenburg, C.C.J. (author), Prendergast, J.M. (author), Peternel, L. (author)Real-world applications of Artificial Intelligence (AI) in architecture have been explored more recently at Technical University (TU) Delft by integrating AI in Design-to-Robotic-Production-Assembly and -Operation (D2RPA&O) methods. These embed robotics into building processes and buildings by linking computational design with robotic...conference paper 2024
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Verduzco, Alejandro (author), Páramo Balsa, Paula (author), Gonzalez-Longatt, Francisco (author), Andrade, Manuel A. (author), Acosta Montalvo, Martha Nohemi (author), Rueda, José L. (author), Palensky, P. (author)This research paper presents a method that uses measurements of voltages angles, as provided by phasor measurement units (PMU), to accurately detect the sudden disconnection of a generation unit from a power grid. Results in this research paper have demonstrated, in a practical fashion, that a multi-layer perceptron (MLP) neural network (NN) can...conference paper 2022
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Corradi, Federico (author), Fioranelli, F. (author)The advent of consumer and industrial Unmanned Aerial Vehicles (UAVs), commonly referred to as drones, has opened business opportunities in many fields, including logistics, smart agriculture, inspection, surveillance, and construction. In addition, the autonomous operations of UAVs reduce risks by minimizing the time spent by human workers...conference paper 2022
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Myers, N.J. (author), Kwon, Hyukjoon (author), Ding, Yacong (author), Song, Kee-Bong (author)In this paper, we propose a learning-aided signal processing solution for channel estimation in 5G new radio (NR). Channel estimation is an important algorithm for baseband modem design. In 5G NR, estimating the channel is challenging due to two reasons. First, the pilot signals are transmitted over a small fraction of the available time...conference paper 2021
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Ossenkoppele, B.W. (author), Wei, Luxi (author), Luijten, Ben (author), Vos, H.J. (author), de Jong, N. (author), Van Sloun, Ruud J.G. (author), Verweij, M.D. (author)3-D contrast enhanced ultrasound enables better visualization of inherently 3-D vascular geometries compared to an intersecting plane. Additionally, it would allow the application of motion correction techniques for all directions. Both contrast detection and motion correction work better on high-frame rate data. However high-frame rate 3-D...conference paper 2022
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Mohammadkarimi, M. (author), Darabi, Mostafa (author), Maham, Behrouz (author)Due to the limited number of radio frequency (RF) chains in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) receivers using analog beamforming/hybrid beamforming, there is a restriction in scheduling the number of users in each transmission time interval. Therefore, fast and low-complexity user scheduling methods based on...conference paper 2022
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Roy, Devjeet (author), Zhang, Ziyi (author), Ma, Maggie (author), Arnaoudova, Venera (author), Panichella, A. (author), Panichella, Sebastiano (author), Gonzalez, Danielle (author), Mirakhorli, Mehdi (author)Automated test case generation tools have been successfully proposed to reduce the amount of human and infrastructure resources required to write and run test cases. However, recent studies demonstrate that the readability of generated tests is very limited due to (i) uninformative identifiers and (ii) lack of proper documentation. Prior...conference paper 2020
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Jia, Mu (author), Li, Shaoxuan (author), Le Kernec, Julien (author), Yang, Shufan (author), Fioranelli, F. (author), Romain, Olivier (author)As the number of older adults increases worldwide, new paradigms for indoor activity monitoring are required to keep people living at home independently longer. Radar-based human activity recognition has been identified as a sensing modality of choice because it is privacy-preserving and does not require end-users compliance or manipulation. In...conference paper 2020
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Basu, S. (author), Watson, S.J. (author), Lacoa Arends, Eric (author), Cheneka, B.R. (author)A hybrid neural network model, comprising of a convolutional neural network and a multilayer perceptron network, has been developed for day-ahead forecasting of regional scale wind power production. This model requires operational weather forecasts as input and also has the capability to ingest data from ensemble forecasts. Even though the...conference paper 2020
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Ewald, Vincentius (author), Groves, R.M. (author), Benedictus, R. (author)In our previous work, we demonstrated how to use inductive bias to infuse a convolutional neural network (CNN) with domain knowledge from fatigue analysis for aircraft visual NDE. We extend this concept to SHM and therefore in this paper, we present a novel framework called DeepSHM which involves data augmentation of captured sensor signals...conference paper 2019
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Widyaningrum, E. (author)A base map provides essential geospatial information for applications such as urban planning, intelligent transportation systems, and disaster management. Buildings and roads are the main ingredients of a base map and are represented by polygons. Unfortunately, manually delineating their boundaries from remote sensing data is time consuming and...doctoral thesis 2021
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Ghavamian, F. (author)We study the acceleration of the finite element method (FEM) simulations using machine learning (ML) models. Specifically, we replace computationally expensive (parts of) FEM models with efficient ML surrogates. We develop three methods to speed up FEM simulations. The primary difference between these models is their degree of intrusion into the...doctoral thesis 2021
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Ossenkoppele, B.W. (author)High-frame-rate volumetric ultrasound imaging is highly desired to enable novel clinical ultrasound applications. However, realizing high-quality volumetric ultrasound imaging at a high frame rates (>500 Hz) is challenging. Keeping the cable count and data rate of the transducer device at a realistic level without sacrificing image quality to...doctoral thesis 2023
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Guendel, Ronny (author)This thesis introduces the relevance of radar systems in the realm of human activity recognition (HAR) in Chapter 1. The study touches upon the complex understanding of continuous human activities and the existing challenges and gaps in current methodologies, hinting at the innovative technical approaches that are to be detailed in the following...doctoral thesis 2023
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Dushatskiy, A. (author)Recently great achievements have been obtained with Artificial Intelligence (AI) methods including human-level performance in such challenging areas as image processing, natural language processing, computational biology, and game playing. Arguably, one of the most societally important application fields of such methods is healthcare. <br/>AI is...doctoral thesis 2023
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- Pastor Serrano, O. (author) doctoral thesis 2023
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Cheneka, B.R. (author)Offshore wind energy is a renewable energy source that is anticipated to be significant in the global shift towards clean and green energy in order to reduce the reliance on fossil fuels and mitigate climate change. In recent years, the overall output of offshore wind energy has increased, and as a result, investments in offshore wind power have...doctoral thesis 2023