Searched for: subject%3A%22data%255C%2Bscience%22
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Kunneman, Youetta (author), Alves da Motta-Filho, Mauricy (author), van der Waa, J.S. (author)
To support effective and successful projects, Service Design practitioners rely on insights that mainly build on qualitative research methodology. The literature on data science promises to help transform how design research is done, adding sophisticated quantitative analyses, complementing existing methods with the power of machines. Due to...
journal article 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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Özyar, Muhammed Imran (author)
The field of finance is an interesting field in which much research takes place. In particular, its sub-field of modeling the dynamics of order books is an interesting field, since it translates into modeling the behaviour of traders on the market. Most of the models proposed in this field can be divided into stochastic models or machine...
master thesis 2021
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Smit, Jim (author)
Background: The covid-19 pandemic has overwhelmed hospitals worldwide and clinical prediction models may assist in timely identification of covid-19 patients at risk for clinical deterioration, i.e. `early warning'. In this article, we report on the development and validation of a new early warning model that predicts unplanned ICU admission or...
master thesis 2021
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Luijt, Nick (author)
For organisations, the capability to exploit data for innovation efforts has already become imperative to their survival in an ever more competitive market. However, many organisations are currently still struggling with how, where and when to use data science for innovative purposes. The consulting industry is a significant driver for the...
master thesis 2021
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Kalikadien, Adarsh (author)
Catalysts play an essential role in the daily lives of humans. These catalysts are used in many industries to make processes more energetically favourable. Climate change is pushing humanity towards the usage of more green energy and catalysts play an important role in this transition.For example, in the hydrogenation...
master thesis 2021
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Dandekar, Raj (author), Henderson, Shane G. (author), Jansen, H.M. (author), McDonald, Joshua (author), Moka, Sarat (author), Nazarathy, Yoni (author), Rackauckas, Christopher (author), Taylor, Peter G. (author), Vuorinen, Aapeli (author)
Viral spread is a complicated function of biological properties, the environment, preventative measures such as sanitation and masks, and the rate at which individuals come within physical proximity. It is these last two elements that governments can control through social-distancing directives. However, infection measurements are almost...
journal article 2021
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Ramzan, Muhammad Javed (author), Khan, Saif Ur Rehman (author), ur-Rehman, Inayat (author), Rehman, Muhammad Habib Ur (author), Al-Khanak, Ehab Nabiel (author)
Purpose: In recent years, data science has become a high-demand profession, thereby attracting transmuters (individuals who want to change their profession due to industry trends) to this field. The primary purpose of this paper is to guide transmuters in becoming data scientists. Design/methodology/approach: An exploratory study was conducted...
journal article 2021
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Kulin, Merima (author), Kazaz, T. (author), De Poorter, Eli (author), Moerman, Ingrid (author)
This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY,MAC and network. First, the related work and paper contributions are discussed, followed by providing...
journal article 2021
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Loeff, L. (author), Kerssemakers, J.W.J. (author), Joo, C. (author), Dekker, C. (author)
Single-molecule techniques allow the visualization of the molecular dynamics of nucleic acids and proteins with high spatiotemporal resolution. Valuable kinetic information of biomolecules can be obtained when the discrete states within single-molecule time trajectories are determined. Here, we present a fast, automated, and bias-free step...
journal article 2021
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Leeuwenburgh, O. (author), Emerick, Alexandre A. (author), Jafarpour, Behnam (author), Zhang, Dongxiao (author), Luo, Xiaodong (author)
contribution to periodical 2021
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Doorn, N. (author)
Recent years have seen a rise of techniques based on artificial intelligence (AI). With that have also come initiatives for guidance on how to develop “responsible AI” aligned with human and ethical values. Compared to sectors like energy, healthcare, or transportation, the use of AI-based techniques in the water domain is relatively modest....
journal article 2021
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León-Rueda, William A. (author), León Sánchez, C.A. (author), Caro, Sandra Gómez (author), Ramírez-Gil, Joaquín Guillermo (author)
The rapid and precise detection of diseases and plant disorders is the basis for the adequate and timely design of management strategies. Currently, there are several non-destructive alternatives that allow early detection, highlighting the use of spectral cameras attached to unmanned aerial vehicles (UAVs). The objective of this research was...
journal article 2021
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Calkoen, Floris (author), Luijendijk, A.P. (author), Rivero, Cristian Rodriguez (author), Kras, Etienne (author), Baart, F. (author)
Forecasting shoreline evolution for sandy coasts is important for sustainable coastal management, given the present-day increasing anthropogenic pressures and a changing future climate. Here, we evaluate eight different time-series forecasting methods for predicting future shorelines derived from historic satellite-derived shorelines....
journal article 2021
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van der Voort, H.G. (author), van Bulderen, Sabine (author), Cunningham, Scott (author), Janssen, M.F.W.H.A. (author)
The road from data generation to data use is commonly approached as a data-driven, functional process in which domain expertise is integrated as an afterthought. In this contribution we complement this functional view with an institutional view, that takes data analysis and domain professionalism as complementary (yet fallible) knowledge...
journal article 2021
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Mostert, C. (author)
High-level music classification tasks such as automatic music mood annotation impose several challenges, both from a psychological and a machine learning point of view. Ground truth labels for these tasks at hand are hard to define due to the abstract and aesthetic nature of the data, being largely dependent on human psychology and perception....
master thesis 2020
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Aggarwal, S. (author)
Big data applications are becoming more commonplace due to an abundance of digital data and increasingly powerful hardware. One of these classes of hardware devices are FPGAs, which are being used today in various ways such as data centers and embedded systems. High performance, power efficiency, and reprogrammability are the primary reasons...
master thesis 2020
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Nguyen, T.P.K. (author)
Principal Component Analysis (PCA) is a mathematical instrument beneficial for its dimension reduction whilst keeping the most important data. Due to its advantages, PCA is chosen to handle a substantial amount of data. In this thesis two questions are answered: what variables influence a pupil's attainment test score using linear regression and...
bachelor thesis 2020
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Kaketsis, Georgios (author)
The goal of this report is to present and describe the effort surrounding the completion of the Master Thesis Project of classification in football. Classification is a procedure which belongs in the field of Statistics. The objective is to capture, detect and distinguish certain actions relative to the environment of analysis. In our case we are...
master thesis 2020
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Langhout, T.J. (author), van Leeuwen, S.A.J. (author), Ort, C.I. (author), Volkers, W.S. (author)
The Deal Analytics group of PricewaterhouseCoopers Amsterdam has requested a tool for automatising the business-to-business customer analysis. This analysis was performed manually, which left room for performance improvement. This report discusses how the a product was developed which automates the analyses After two weeks of initial research, a...
bachelor thesis 2020
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