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Van der Laan, T.A. (author)The works [Volodymyr et al. Playing atari with deep reinforcement learning. arXiv preprint arXiv:1312.5602, 2013.] and [Volodymyr et al. Human-level control through deep reinforcement learning. Nature, 518(7540):529–533, 2015.] have demonstrated the power of combining deep neural networks with Watkins Q learning. They introduce deep Q networks ...journal article 2015
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Ilioudi, A. (author), Dabiri, A. (author), Wolf, B.J. (author), De Schutter, B.H.K. (author)Deep learning has enabled the rapid expansion of computer vision tasks from image frames to video segments. This paper focuses on the review of the latest research in the field of computer vision tasks in general and on object localization and identification of their associated pixels in video frames in particular. After performing a systematic...journal article 2022
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Yin, Zhao (author), Geraedts, Victor Jacobus (author), Wang, Z. (author), Contarino, Maria Fiorella (author), Dibeklioglu, H. (author), van Gemert, J.C. (author)Parkinson's disease (PD) diagnosis is based on clinical criteria, i.e., bradykinesia, rest tremor, rigidity, etc. Assessment of the severity of PD symptoms with clinical rating scales, however, is subject to inter-rater variability. In this paper, we propose a deep learning based automatic PD diagnosis method using videos to assist the...journal article 2022
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Estebanez Camarena, M. (author), Taormina, R. (author), van de Giesen, N.C. (author), ten Veldhuis, Marie-claire (author)Food and economic security in West Africa rely heavily on rainfed agriculture and are threatened by climate change and demographic growth. Accurate rainfall information is therefore crucial to tackling these challenges. Particularly, information about the occurrence and length of droughts as well as the onset date of the rainy season is...journal article 2023
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Perin, G. (author), Wu, L. (author), Picek, S. (author)The adoption of deep neural networks for profiling side-channel attacks opened new perspectives for leakage detection. Recent publications showed that cryptographic implementations featuring different countermeasures could be broken without feature selection or trace preprocessing. This success comes with a high price: an extensive...journal article 2023
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Rahmani, S. (author), Baghbani, Asiye (author), Bouguila, Nizar (author), Patterson, Zachary (author)Graph neural networks (GNNs) have been extensively used in a wide variety of domains in recent years. Owing to their power in analyzing graph-structured data, they have become broadly popular in intelligent transportation systems (ITS) applications as well. Despite their widespread applications in different transportation domains, there is no...journal article 2023
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Ahmad, Bashar I. (author), Rogers, Colin (author), Harman, Stephen (author), Dale, Holly (author), Jahangir, Mohammed (author), Antoniou, Michael (author), Baker, Chris (author), Newman, Mike (author), Fioranelli, F. (author)Automatic target classification or recognition is a critical capability in noncooperative surveillance with radar in several defence and civilian applications. It is a well-established research field and numerous techniques exist for recognizing targets, including miniature unmanned air systems or drones (i.e., small, mini, micro, and nano...journal article 2024
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Deep Learning for Size-Agnostic Inverse Design of Random-Network 3D Printed Mechanical MetamaterialsPahlavani, H. (author), Tsifoutis-Kazolis, Kostas (author), Cruz Saldivar, M. (author), Mody, Prerak (author), Zhou, J. (author), Mirzaali, Mohammad J. (author), Zadpoor, A.A. (author)Practical applications of mechanical metamaterials often involve solving inverse problems aimed at finding microarchitectures that give rise to certain properties. The limited resolution of additive manufacturing techniques often requires solving such inverse problems for specific specimen sizes. Moreover, the candidate microarchitectures...journal article 2023
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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
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Zhu, S. (author), Yarovoy, Alexander (author), Fioranelli, F. (author)The problem of instantaneous ego-motion estimation with mm-wave automotive radar is studied. DeepEgo, a deep learning-based method, is proposed for achieving robust and accurate ego-motion estimation. A hybrid approach that uses neural networks to extract complex features from input point clouds and applies weighted least squares (WLS) for...journal article 2023
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Wang, H. (author), Nunez, Alfredo (author)The catenary insulator maintains electrical insulation between catenary and ground. Its defects may happen due to the long-term impact from vehicle and environment. At present, the research of defect detection for catenary insulator faces several challenges. 1) Localization accuracy is low, which causes the localized object to be incomplete or...journal article 2020
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Koolstra, Kirsten (author), Remis, R.F. (author)Purpose: To learn a preconditioner that accelerates parallel imaging (PI) and compressed sensing (CS) reconstructions. Methods: A convolutional neural network (CNN) with residual connections was used to train a preconditioning operator. Training and validation data were simulated using 50% brain images and 50% white Gaussian noise images....journal article 2021
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Brink, Wyger M. (author), Yousefi, Sahar (author), Bhatnagar, Prernna (author), Remis, R.F. (author), Staring, M. (author), Webb, A. (author)Purpose: Parallel RF transmission (PTx) is one of the key technologies enabling high quality imaging at ultra-high fields (≥7T). Compliance with regulatory limits on the local specific absorption rate (SAR) typically involves over-conservative safety margins to account for intersubject variability, which negatively affect the utilization of...journal article 2022
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Arapi, Visar (author), Della Santina, C. (author), Averta, Giuseppe (author), Bicchi, Antonio (author), Bianchi, Matteo (author)In recent years, the spread of data-driven approaches for robotic grasp synthesis has come with the increasing need for reliable datasets, which can be built e.g. through video labelling. To this goal, it is important to define suitable rules to characterize the main human grasp types, for easily identifying them in video streams. In this...journal article 2021
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Baccour, Emna (author), Mhaisen, N. (author), Abdellatif, Alaa Awad (author), Erbad, Aiman (author), Mohamed, Amr (author), Hamdi, Mounir (author), Guizani, Mohsen (author)Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems and speech processing applications to robotics control and military surveillance. This is driven by the easier access to sensory data and the enormous scale of pervasive...journal article 2022
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Thangavel, Prasanth (author), Thomas, John (author), Sinha, Nishant (author), Peh, Wei Yan (author), Yuvaraj, Rajamanickam (author), Cash, Sydney S. (author), Chaudhari, Rima (author), Karia, Sagar (author), Dauwels, J.H.G. (author)Objective. Clinical diagnosis of epilepsy relies partially on identifying interictal epileptiform discharges (IEDs) in scalp electroencephalograms (EEGs). This process is expert-biased, tedious, and can delay the diagnosis procedure. Beyond automatically detecting IEDs, there are far fewer studies on automated methods to differentiate epileptic...journal article 2022
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Rivera-Arbeláez, José M. (author), Keekstra, Danjel (author), Cofiño-Fabres, Carla (author), Boonen, Tom (author), Dostanic, M. (author), ten Den, Simone A. (author), Vermeul, Kim (author), Mastrangeli, Massimo (author), van den Berg, A (author)The high rate of drug withdrawal from the market due to cardiovascular toxicity or lack of efficacy, the economic burden, and extremely long time before a compound reaches the market, have increased the relevance of human in vitro models like human (patient-derived) pluripotent stem cell (hPSC)-derived engineered heart tissues (EHTs) for the...journal article 2023
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Picek, S. (author), Perin, G. (author), Mariot, L. (author), Wu, L. (author), Batina, Lejla (author)Side-channel attacks represent a realistic and serious threat to the security of embedded devices for already almost three decades. A variety of attacks and targets they can be applied to have been introduced, and while the area of side-channel attacks and their mitigation is very well-researched, it is yet to be consolidated. Deep learning...journal article 2023
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Pastor Serrano, O. (author), Habraken, S.J.M. (author), Hoogeman, M.S. (author), Lathouwers, D. (author), Schaart, D.R. (author), Nomura, Yusuke (author), Xing, Lei (author), Perko, Z. (author)Objective. In radiotherapy, the internal movement of organs between treatment sessions causes errors in the final radiation dose delivery. To assess the need for adaptation, motion models can be used to simulate dominant motion patterns and assess anatomical robustness before delivery. Traditionally, such models are based on principal...journal article 2023
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Huang, Charles (author), Vasudevan, Varun (author), Pastor Serrano, O. (author), Islam, Md Tauhidul (author), Nomura, Yusuke (author), Dubrowski, Piotr (author), Wang, Jen Yeu (author), Schulz, Joseph B. (author), Yang, Yong (author)Objective. In this work, we propose a content-based image retrieval (CBIR) method for retrieving dose distributions of previously planned patients based on anatomical similarity. Retrieved dose distributions from this method can be incorporated into automated treatment planning workflows in order to streamline the iterative planning process....journal article 2023