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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
document
Bechtold, Jeroen (author)
This paper tries to combat the food waste of strawberries during the harvesting steps.<br/>An automatic pipeline must be established to combat this food waste.<br/>One of the steps needed in this pipeline is detecting strawberries in images.<br/>Therefore, this paper aims to find out which Convolutional Neural Network (CNN) can be best used to...
bachelor thesis 2022
document
Zhao, Yubin (author)
Nowadays, the aging problem is shaking the root of the healthcare system in many countries, an automatic human activity recognition (HAR) is seen as a promising solution to that problem. In particular, radar-based HAR attracts people’s attention thanks to its respect for privacy and functionality in poor lighting conditions. With a lot of...
master thesis 2022
document
van Zijl, Job (author)
Deep Reinforcement Learning (DRL) shows great potential for flight control, due to its adaptability, fault-tolerance, and as it does not require an accurate system model. However, these techniques, like many machine learning applications, are considered black-box as their inner workings are hidden. This paper aims to break open the black box of...
master thesis 2022
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Zhu, Xinting (author), Lin, Yu (author), He, Yuxin (author), Tsui, Kwok Leung (author), Chan, Pak Wai (author), Li, L. (author)
With the dynamic air traffic demand and the constrained capacity resources, accurately predicting airport throughput is essential to ensure the efficiency and resilience of air traffic operations. Many research efforts have been made to predict traffic throughputs or flight delays at an airport or over a network. However, it is still a...
journal article 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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Razavi, Saman (author), Hannah, David M. (author), Elshorbagy, Amin (author), Kumar, Sujay (author), Marshall, Lucy (author), Solomatine, D.P. (author), Dezfuli, Amin (author), Sadegh, Mojtaba (author), Famiglietti, James (author)
Machine learning (ML) applications in Earth and environmental sciences (EES) have gained incredible momentum in recent years. However, these ML applications have largely evolved in ‘isolation’ from the mechanistic, process-based modelling (PBM) paradigms, which have historically been the cornerstone of scientific discovery and policy support....
journal article 2022
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de Vries, Wiebe H.K. (author), Amrein, Sabrina (author), Arnet, Ursina (author), Mayrhuber, Laura (author), Ehrmann, Cristina (author), Veeger, H.E.J. (author)
Shoulder problems (pain and pathology) are highly prevalent in manual wheelchair users with spinal cord injury. These problems lead to limitations in activities of daily life (ADL), labor- and leisure participation, and increase the health care costs. Shoulder problems are often associated with the long-term reliance on the upper limbs, and...
journal article 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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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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Demirel, Omer Burak (author), Yaman, Burhaneddin (author), Shenoy, Chetan (author), Moeller, Steen (author), Weingärtner, S.D. (author), Akçakaya, Mehmet (author)
Purpose: To develop a physics-guided deep learning (PG-DL) reconstruction strategy based on a signal intensity informed multi-coil (SIIM) encoding operator for highly-accelerated simultaneous multislice (SMS) myocardial perfusion cardiac MRI (CMR). Methods: First-pass perfusion CMR acquires highly-accelerated images with dynamically varying...
journal article 2022
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Rainey, S. (author)
This paper asks what sorts of ethical caution ought to attach to increasingly data-driven approaches to understanding the brain. This is taken to be an important question especially owing to a likely near future of neuromonitoring and neuromodulation devices with applications in psychiatry. The paper explores this by i) sketching the concept...
journal article 2022
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Moradi, M. (author), Ghorbani, R. (author), Sfarra, Stefano (author), Tax, D.M.J. (author), Zarouchas, D. (author)
Assessment of cultural heritage assets is now extremely important all around the world. Non-destructive inspection is essential for preserving the integrity of artworks while avoiding the loss of any precious materials that make them up. The use of Infrared Thermography is an interesting concept since surface and subsurface faults can be...
journal article 2022
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Pastor Serrano, O. (author), Perko, Z. (author)
Objective. Next generation online and real-time adaptive radiotherapy workflows require precise particle transport simulations in sub-second times, which is unfeasible with current analytical pencil beam algorithms (PBA) or Monte Carlo (MC) methods. We present a deep learning based millisecond speed dose calculation algorithm (DoTA)...
journal article 2022
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Seo, Miri (author), Yang, Eunseo (author), Shin, D. (author), Je, Yugyeong (author), Joo, C. (author), Lee, Kookjin (author), Lee, Sang Wook (author)
Nanomechanical resonator devices are widely used as ultrasensitive mass detectors for fundamental studies and practical applications. The resonance frequency of the resonators shifts when a mass is loaded, which is used to estimate the mass. However, the shift signal is often blurred by the thermal noise, which interferes with accurate mass...
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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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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Ismail, Tevfik F. (author), Strugnell, Wendy (author), Coletti, C. (author), Bozic, M. (author), Weingärtner, S.D. (author), Hammernik, Kerstin (author), Correia, Teresa (author), Küstner, Thomas (author)
Cardiovascular disease (CVD) is the leading single cause of morbidity and mortality, causing over 17. 9 million deaths worldwide per year with associated costs of over $800 billion. Improving prevention, diagnosis, and treatment of CVD is therefore a global priority. Cardiovascular magnetic resonance (CMR) has emerged as a clinically...
review 2022
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Kirschbaum, Lucas (author), Robu, Valentin (author), Swingler, Jonathan (author), Flynn, David (author)
Electromagnetic Relays (Electromagnetic Relay (EMR)s) are omnipresent in electrical systems, ranging from mass-produced consumer products to highly specialised, safety-critical industrial systems. Our detailed literature review focused on EMR reliability highlighting the methods used to estimate the State of Health or the Remaining Useful...
review 2022
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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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