Searched for: subject%3A%22Binary%22
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van Es, Tim (author), Helfferich, Florens (author)
Atrial fibrillation (AF) is the most common type of cardiac arrhythmia occurring in around 0.5% of the world population. AF is characterized by the rapid and irregular beating of the atrial chambers of the heart, which can cause lead to strokes and other heart-failures. To prevent these consequences the early detection of AF is paramount. Using...
bachelor thesis 2021
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Nouri, Zahra (author), Gadiraju, Ujwal (author), Engels, Gregor (author), Wachsmuth, Henning (author)
Designing tasks clearly to facilitate accurate task completion is a challenging endeavor for requesters on crowdsourcing platforms. Prior research shows that inexperienced requesters fail to write clear and complete task descriptions which directly leads to low quality submissions from workers. By complementing existing works that have aimed...
conference paper 2021
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Barnieh, Beatrice Asenso (author), Jia, Li (author), Menenti, M. (author), Jiang, Min (author), Zhou, Jie (author), Zeng, Yelong (author), Bennour, Ali (author)
The occurrence of natural vegetation at a given time is determined by interplay of multiple drivers. The effects of several drivers, e.g., geomorphology, topography, climate variability, accessibility, demographic indicators, and changes in human activities on the occurrence of natural vegetation in the severe drought periods and, prior to...
journal article 2021
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de Boer, Y.J.I. (author)
Attribution of the malware to the developers writing the malware is an important factor in cybercrime investigative work. Clustering together not only malware of the same family, but also inter-family malware relations together provides more information about the authors and aid further malware analysis work. In this report, previous work which...
master thesis 2020
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Weber, J.H. (author), Bu, R. (author), Cai, Kui (author), Schouhamer Immink, Kees A. (author)
Decoders minimizing the Euclidean distance between the received word and the candidate codewords are known to be optimal for channels suffering from Gaussian noise. However, when the stored or transmitted signals are also corrupted by an unknown offset, other decoders may perform better. In particular, applying the Euclidean distance on...
journal article 2020
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Wolters, Eric (author)
Patients suffering from diseases affecting verbal communication can make use of assistive devices to improve communication. Some severely disabled patients can only produce yes-or-no responses to communicate. These responses can be created through a physical switch, eye blink, or a 'mental' click created by brain activity. The yes-or-no...
master thesis 2020
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Khaleghi, Aaron (author)
The consumer lending domain has increasingly leveraged Artificial Intelligence (AI) to make loan approval processes more efficient and to make use of larger amount of information to predict their applicants’ repayment ability. Over time, however, valid concerns have been raised about whether decisions made about individuals using these data...
master thesis 2020
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Uitterdijk, Niels (author)
This thesis presents a novel data-driven Fault Detection and Isolation algorithm for the public network of Electric Vehicle chargers of Tritium Ltd. Pty. The proposed solution is robust against marginal differences in data distribution as well as marginal changes over time due the state-of-the-art optimization techniques used. This is required...
master thesis 2020
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Chambe, Marie (author)
This thesis work has been motivated by the growing interest in small-spacecraft small-body missions and more specifically inspired by a proposed mission to the largest Martian Trojan (5261) Eureka. This binary asteroid represents a promising target for a planetary mission, as a better understanding of its formation and evolution would provide...
master thesis 2020
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Anker, Eva (author)
In the modern world, Smartphones are everywhere and Android is the most used operating system. <br/>To protect these devices against malicious actions, the behaviour of Android apps needs to be studied.<br/><br/>Current tooling does not provide complete insight into the behaviour of an Android app.<br/>A tool was built to observe what goes on...
master thesis 2020
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Zhu, B. (author), Al-Ars, Z. (author), Hofstee, H.P. (author)
Binary Convolutional Neural Networks (CNNs) have significantly reduced the number of arithmetic operations and the size of memory storage needed for CNNs, which makes their deployment on mobile and embedded systems more feasible. However, after binarization, the CNN architecture has to be redesigned and refined significantly due to two reasons:...
conference paper 2020
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Overdevest, J. (author), Jansen, Feike (author), Uysal, Faruk (author), Yarovoy, Alexander (author)
Utilization of phase-coded waveforms in automotive MIMO radars for short to medium range applications is studied. Performances of three most-promising binary code families (Gold, APAS and ZCZ sequences) are compared. Design tradeoffs of practical implementation of phased-coded waveforms for MIMO radar are analyzed for the first time for a...
journal article 2020
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Song, Jingkuan (author), He, Tao (author), Gao, Lianli (author), Xu, Xing (author), Hanjalic, A. (author), Shen, Heng Tao (author)
Binary codes have often been deployed to facilitate large-scale retrieval tasks, but not that often for image compression. In this paper, we propose a unified framework, BGAN+, that restricts the input noise variable of generative adversarial networks to be binary and conditioned on the features of each input image, and simultaneously learns...
journal article 2020
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Ma, X. (author), Yuan, Y. (author), van Oort, N. (author), Hoogendoorn, S.P. (author)
Bike-sharing systems have witnessed rapid growth in the last decades. Bike-sharing has been found to influence modal shift from car, public transit, and active transportation modes. However, the impacts on modal shift by considering different kinds of bike-sharing systems are rarely discussed. This study examines the modal shift dynamics and...
journal article 2020
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Huyghues-Beaufond, Nathalie (author), Tindemans, Simon H. (author), Falugi, Paola (author), Sun, Mingyang (author), Strbac, Goran (author)
Distribution networks are undergoing fundamental changes at medium voltage level. To support growing planning and control decision-making, the need for large numbers of short-term load forecasts has emerged. Data-driven modelling of medium voltage feeders can be affected by (1) data quality issues, namely, large gross errors and missing...
journal article 2020
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Ntasios, Angelos (author)
The last years, there has been a increasing trend in embedded system and FPGA im-plementations for greater flexibility and also, a rising adaptation of heterogeneous plat-forms. These platforms often include FPGAs and embedded cores side by side.ρ-VEXcore, developed and maintained by the Computer Engineering group of TU Delft, is aVLIW processor...
master thesis 2019
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García Sanz, María (author)
Patients with 1p/19q co-deleted low grade glioma (LGGs) have better prognosis and react better to certain treatments than patients with intact 1p/19q LGG. Currently, information about the 1p/19q co-deletion status is obtained by means of an invasive procedure called biopsy. As an alternative, non-invasive techniques to extract this information...
master thesis 2019
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Sharma, Salil (author), Snelder, M. (author), van Lint, J.W.C. (author)
On important truck-dominated motorways, a large share of traffic consists of trucks. Our hypothesis is that these trucks do not always make optimal routing decisions which cause inefficiencies in the traffic system. Therefore, route choice of truck drivers is of interest to both transport planners and traffic management authorities. The...
conference paper 2019
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Rouzbehi, Kumars (author), Miranian, Arash (author), Escaño, Juan Manuel (author), Rakhshani, E. (author), Shariati, Negin (author), Pouresmaeil, Edris (author)
This paper develops a data-driven strategy for identification and voltage control for DC-DC power converters. The proposed strategy does not require a pre-defined standard model of the power converters and only relies on power converter measurement data, including sampled output voltage and the duty ratio to identify a valid dynamic model for...
journal article 2019
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Caro Ortiz, S.A. (author), Hens, R. (author), Zuidema, Erik (author), Rigutto, Marcello (author), Dubbeldam, David (author), Vlugt, T.J.H. (author)
This article explores how well vapor-liquid equilibria of pure components and binary mixtures of xylenes can be predicted using different force fields in molecular simulations. The accuracy of the Wolf method and the Ewald summation is evaluated. Monte Carlo simulations in the Gibbs ensemble are performed at conditions comparable to...
journal article 2019
Searched for: subject%3A%22Binary%22
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