Searched for: subject:"Detection"
(1 - 20 of 534)

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Phillipson, F. (author), Wezeman, R.S (author), Chiscop, I. (author)
There is a growing trend in using machine learning techniques for detecting environmental context in communication networks. Machine learning is one of the promising candidate areas where quantum computing can show a quantum advantage over their classical algorithmic counterpart on near term Noisy Intermediate-Scale Quantum (NISQ) devices. The...
conference paper 2021
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Bugter, O. (author), Li, Y. (author), Wolters, A.H.G. (author), Agrawal, V. (author), Dravid, A. (author), Chang, A. (author), Hardillo, J. (author), Giepmans, B.N.G. (author), Baatenburg de Jong, R.J. (author), Amelink, A. (author), Backman, V. (author), Robinson, D.J. (author)
article 2021
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Chiscop, I. (author), Gazdag, A. (author), Bosman, J. (author), Biczók, G. (author)
Multiple attacks have shown that in-vehicle networks have vulnerabilities which can be exploited. Securing the Controller Area Network (CAN) for modern vehicles has become a necessary task for car manufacturers. Some attacks inject potentially large amount of fake messages into the CAN network; however, such attacks are relatively easy to detect...
conference paper 2021
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de Dominicis, L. (author), Bouma, H. (author), Toivonen, S. (author), Stifini, C. (author), Villani, M.L. (author), de Nicola, A. (author), van Rooijen, A.L. (author), Baan, J. (author), Peltola, J. (author), Lämsä, A. (author), Räsänen, P. (author)
conference paper 2021
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van Baardewijk, J.U. (author), Agarwal, S. (author), Cornelissen, A.S. (author), Joosen, M.J.A. (author), Kentrop, J. (author), Varon, C. (author), Brouwer, A.M. (author)
Early detection of exposure to a toxic chemical, e.g., in a military context, can be life-saving. We propose to use machine learning techniques and multiple continuously measured physiological signals to detect exposure, and to identify the chemical agent. Such detection and identification could be used to alert individuals to take appropriate...
article 2021
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Butler, F. (author), Lucas Luijckx, N.B. (author), Marvin, H.J.P. (author), Bouzembrak, Y. (author), Mojtahed, V. (author)
Food fraud is of high concern to the food industry. A multitude of analytical technologies exist to detect fraud. However, this testing is often expensive. Available databases detailing fraud occurrences were systematically examined to determine how frequently analytical testing triggered fraud detection. A conceptual framework was developed for...
article 2021
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Phillipson, F. (author), Wezeman, R.S. (author), Chiscop, I. (author)
Communication networks are managed more and more by using artificial intelligence. Anomaly detection, network monitoring and user behaviour are areas where machine learning offers advantages over more traditional methods. However, computer power is increasingly becoming a limiting factor in machine learning tasks. The rise of quantum computers...
article 2021
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Bogers, J.F.M. (author), Berghuis, N.F. (author), Busker, R.W. (author), van Booma, A. (author), Paauw, A. (author), van Leeuwen, H.C. (author)
Fluorescence-based diagnostic tools are attractive and versatile tests with multiple advantages: ease of use, sensitivity and rapid results. The advent of CRISPR-Cas technology has created new avenues for the development of diagnostic testing tools. In this study, by effectively combining the specific functions of two enzymes, CRISPR-Cas12a and...
article 2021
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Lu, Y.J. (author), Zhang, H. (author), Ngo, C.W. (author), de Boer, M. (author), Schavemaker, J. (author), Schutte, K. (author), Kraaij, W. (author)
0-Shot System - The simple exact matching performs the best - The quality of concepts selected to represent an event is more important than quantity - It's an open problem of how to harness the ontology-based mapping MER System - In key evidence localization, we emphasize the event relevancy first, then the hot concepts - We recommend three...
conference paper 2020
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Tordera, D. (author), Peeters, B. (author), Delvitto, E. (author), Shanmugam, S. (author), Maas, J. (author), de Riet, J. (author), Verbeek, R. (author), van de Laar, R. (author), Bel, T. (author), Haas, G. (author), Ugalde, L. (author), van Breemen, A. (author), Katsouras, I. (author), Kronemeijer, A.J. (author), Akkerman, H. (author), Meulenkamp, E. (author), Gelinck, G. (author)
We combine a low dark current and high-detectivity near-infrared (NIR)-sensitive organic photodetector with a high-resolution 508 pixels per inch (ppi) oxide thin-film transistor (TFT) backplane to create a large-area thin NIR detector, using processes that are compatible with flat-panel display fabrication. The detector is characterized showing...
article 2020
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Cox, P.B. (author), van Rossum, W.L. (author)
Recent advances in digital beam forming for phased arrays in combination with digital signal processing should enable the development of multibeam radar in a bistatic configuration. In the bistatic setting, the pulse travelling outward from the transmitter should be followed or “chased” by the receiver. During transmission, depending on the...
conference paper 2020
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Meijer, R. (author), van Dam, E. (author), Bouma, H. (author), Baan, J. (author), van der Hurk, S.E. (author)
Objective: The objective of this research is to study the feasibility of measuring behavioral indicators that reflect effects of infrastructure and interaction with other road users. Methods: An observation study was performed using 6 cameras above a separated cycle path next to a road which included a crossing with both cyclists and cars. A...
article 2020
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van der Stap, N. (author), Benoist, K. (author), Schutte, K. (author)
This paper shows the Netherlands contribution to NATO SET-240 on Exploitation of Longwave Infrared Airborne Hyperspectral Data, that focusses on the detection of soil disturbances, buried objects, and nonburied (surface) objects. Together with other hyperspectral feasibility research on maritime target detection and machine learning. Hyperbolic...
conference paper 2020
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van der Burg, E. (author), Hogervorst, M.A. (author), Toet, A. (author)
Targets that are well camouflaged under static conditions are often easily detected as soon as they start moving. We investigated and evaluated ways to design camouflage that dynamically adapts to the background and conceals the target while taking the variation in potential viewing directions into account. In a human observer experiment...
conference paper 2020
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Boehrer, N. (author), Gabriel, A. (author), Brandt, A. (author), Uijens, W.R. (author), Kampmeijer, L. (author), van der Stap, N. (author), Schutte, K. (author)
With the latest advances in image sensor technology, cameras are able to generate video with tens of megapixels per frame. These high resolution videos streams offer great potential to be used in the surveillance domain. For ground based systems, gigapixel streams are already used with great effect as illustrated by the ICME 2019 crowd counting...
conference paper 2020
document
Phillipson, F. (author), Wezeman, R.S. (author), Chiscop, I. (author)
There is a growing trend in using machine learning techniques for detecting environmental context in communication networks. Machine learning is one of the promising candidate areas where quantum computing can show a quantum advantage over their classical algorithmic counterpart on near term Noisy Intermediate-Scale Quantum (NISQ) devices. The...
conference paper 2020
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Müller, M. (author), de Jong, J. (author), van Heesch, M.P.P. (author), Overeinder, B. (author), van Rijswijk-Deij, R. (author)
article 2020
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den Hollander, R.J.M. (author), Adhikari, A. (author), Tolios, I. (author), van Bekkum, M. (author), Bal, A. (author), Hendriks, S. (author), Kruithof, M.C. (author), Gross, D. (author), Jansen, N. (author), Perez, G. (author), Buurman, K. (author), Raaijmakers, S.A. (author)
conference paper 2020
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Maathuis, C. (author), Pieters, W. (author), van den Berg, J. (author)
article 2020
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Poort, J.P. (author), Shoeibi Omrani, P.S. (author), Vecchia, A.L. (author), Visser, G. (author), Janzen, M. (author), Koenes, J. (author)
Detection of production and well events is crucial for planning of production and operational strategies. Event detection is especially challenging in mature fields in which various off-normal events might occur simultaneously. Manual detection of these events by an engineer is a tedious task and prone to errors. On the other hand, abundance of...
conference paper 2020
Searched for: subject:"Detection"
(1 - 20 of 534)

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