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Cristiani, D.L.M. (author), Falcetelli, F. (author), Yue, N. (author), Sbarufatti, Claudio (author), Di Sante, Raffaella (author), Zarouchas, D. (author), Giglio, Marco (author)Machine learning (ML) methods for the structural health monitoring (SHM) of composite structures rely on sufficient domain knowledge as they typically demand to extract damage-sensitive features from raw data before training the ML model. In practice, prior knowledge is not available in most cases. Deep learning (DL) methods, on the other...journal article 2022
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Wang, J. (author), Li, Runlong (author), He, Yuan (author), Yang, Yang (author)In this article, the interference mitigation (IM) problem is tackled as a regression problem. A prior-guided deep learning (DL)-based IM approach is proposed for frequency-modulated continuous-wave (FMCW) radars. Considering the complex-valued nature of radar signals, a complex-valued convolutional neural network, which is different from the...journal article 2022
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Yin, Hang (author), Zheng, Feifei (author), Duan, Huan-Feng (author), Savić, Dragan (author), Kapelan, Z. (author)Urban flooding is a major issue worldwide, causing huge economic losses and serious threats to public safety. One promising way to mitigate its impacts is to develop a real-time flood risk management system; however, building such a system is often challenging due to the lack of high spatiotemporal rainfall data. While some approaches (i.e.,...journal article 2022
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Eichinger, Matthias (author), Heinlein, A. (author), Klawonn, Axel (author)A convolution neural network (CNN)-based approach for the construction of reduced order surrogate models for computational fluid dynamics (CFD) simulations is introduced; it is inspired by the approach of Guo, Li, and Iori [X. Guo, W. Li, and F. Iorio, Convolutional neural networks for steady flow approximation, in Proceedings of the 22nd ACM...journal article 2022
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Chang, X. (author), Wu, Jianjun (author), Correia, Gonçalo (author), Sun, Huijun (author), Feng, Ziyan (author)Carsharing has become a popular travel mode owing to its convenience of use, easy parking, and low cost of using a car by those who only need it occasionally. However, because of the inadequate location of carsharing stations (station-based systems) or vehicles (free-floating systems), effectively requiring expensive and complex relocation...journal article 2022
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Zhang, Xinyu (author), Abbasi, Qammer H. (author), Fioranelli, F. (author), Romain, Olivier (author), Le Kernec, Julien (author)Population ageing has become a severe problem worldwide. Human activity recognition (HAR) can play an important role to provide the elders with in-time healthcare. With the advantages of environmental insensitivity, contactless sensing and privacy protection, radar has been widely used for human activity detection. The micro-Doppler...conference paper 2022
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Vatandaslar, Can (author), Narin, O.G. (author), Abdikan, Saygin (author)Key message: Despite showing a cost-effective potential for quantifying vertical forest structure, the GEDI and ICESat-2 satellite LiDAR missions fall short of the data accuracy standards required by tree- and stand-level forest inventories. Abstract: Tree and stand heights are key inventory variables in forestry, but measuring them manually...journal article 2022
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Chilakala, Koteswararao (author)Diabetic Retinopathy (DR) is one of the leading causes of permanent vision loss. Its current prevalence is around 45 millions across the globe and is projected to 70 million by 2045. Most of the people with this disease condition belong to remote and low income settings. We can reduce this incidence, if quality medical care is accessible in...master thesis 2021
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van Gruijthuijsen, Coen (author)Semantic Segmentation of medical images are used to improve diagnosis and treatment. In recent years, the application of machine learning methods are increasingly used. However, the design of these models is difficult and time-consuming. In this thesis, we investigated the automation of this process using an Automated Machine Learning (AutoML)...master thesis 2021
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Wiersma, Mark (author)Automated bin-picking is a difficult task that requires solving multiple robotic vision problems including object detection and grasp proposal generation. Current methods use deep learning to approach each of the vision problems of bin-picking separately with the main focus on generating the grasp proposals. For grasp proposal generation, neural...master thesis 2021
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Verkerk, Gertjan (author)Despite the increasing amount of automation in manual control tasks, such as driving a car or piloting an aircraft, the human ability to adapt to unexpected events still makes us an essential part of the control loop. Before we can remove the human completely, a better understanding of this unique characteristic is necessary so that we can apply...master thesis 2021
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Zhu, B. (author)In recent years, the accuracy of Deep Neural Networks (DNNs) has improved significantly because of three main factors: the availability of massive amounts training data, the introduction of powerful low-cost computational resources, and the development of complex deep learning models. The cloud can provide powerful computational resources to...doctoral thesis 2021
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Overkamp, Jean-Luc (author)Accurate 4D trajectory predictions are required for the implementation of Trajectory Based Operations. In addition, decentralized, free routing can make medium- to long-term flight trajectories more difficult to predict. Novel trajectory prediction techniques are needed, independent of waypoint-to-waypoint navigation and air traffic control...master thesis 2021
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Yang, Wei-Tse (author)We present the first deep learning approach to estimate the human skeletal system of the musculoskeletal model from monocular video. The current practice of musculoskeletal modeling relies on a motion capture system and OpenSim. The data is recorded in a restricted environment, and OpenSim workflow for musculoskeletal modeling is costly. Our...master thesis 2021
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Rajasekhar, Rajesh (author)The quality of a product is an important factor in the manufacturing industry. Maintaining a standard product quality ensures customer satisfaction and loyalty to the brand and reduces the risk and cost involved in the production. A system that reviews the product quality in production is the quality control system. Quality control ensures that...master thesis 2021
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Saldanha, Nikhil (author)A structured CNN filter basis allows incorporating priors about natural image statistics and thus require less training examples to learn, saving valuable annotation time. Here, we build on the Gaussian derivative CNN filter basis that learn both the orientation and scale of the filters. However, this Gaussian filter basis definition depends on...master thesis 2021
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Chandra, Anant (author)A Low-Pressure Micro-resistojet (LPM) is a type of in-space electrothermal propulsion system for satellites that works by heating low-pressure (50 to 300 Pa) fluid flowing through microchannels/slots (typically <1 mm diameter) using resistive heating elements like thin-film Molybdenum. This thesis delineates a response surface based method to...master thesis 2021
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Chen, Y. (author)Single-photon emission computed tomography (SPECT) is a well-established nuclear imaging modality for studying functional and pathological properties of the brain. Conventional general purpose SPECT systems typically offer a spatial resolution of about 10 mm with a sensitivity of 0.01-0.02%. A few dedicated brain SPECT scanners have been...doctoral thesis 2021
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Vallendar, André (author)Plastic pollution is one of the most challenging global environmental problems. Currently, more than 1000 rivers transport approximately 80% of the plastic influx into the oceans. Naturally, more and more companies are interested in tackling this problem. One of them is Noria Sustainable Innovators, a company based in Delft (Netherlands). It is...master thesis 2021
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Hoogenberg, Ruben (author)In this thesis we have looked into the complexity of neural networks. Especially convolutional neural networks (CNNs), which are useful for image recognition, are looked into. In order to better understand the process in the neural networks, in the first half of this report a mathematical foundation for neural networks and CNNs is constructed....bachelor thesis 2021