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Lindenbergh, R.C. (author), Cserép, Máté (author)The evolution and spreading of data capturing methods ranging from simple GPS devices like smart-phones to large scale imaging equipment – including very high resolution and hyperspectral cameras and LiDAR – resulted in an exponential growth in the amount of spatial data maintained by companies and organizations. At the same time methods for...journal article 2023
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Bierkens, G.N.J.C. (author), Grazzi, S. (author), van der Meulen, F.H. (author), Schauer, M.R. (author)We construct a new class of efficient Monte Carlo methods based on continuous-time piecewise deterministic Markov processes (PDMPs) suitable for inference in high dimensional sparse models, i.e. models for which there is prior knowledge that many coordinates are likely to be exactly 0. This is achieved with the fairly simple idea of endowing...journal article 2023
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Bai, N. (author), Nourian, Pirouz (author), Pereira Roders, A. (author), Bunschoten, Raoul (author), Huang, Weixin (author), Wang, Lu (author)During the rural [re]vitalization process in China, national strategies required rural public spaces with cultural significance to be identified before planning decision-making. However, places identified as culturally significant by planners and visitors can differ from the ones mostly used and valued by locals. Even if there is a growing...journal article 2023
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van der Heijden, Dante (author)Since early history, humans have been attracted to coastal areas. This can be related to the economic benefits of these areas due to access of ocean navigation, coastal fisheries, tourism and recreation (Seas and Plans, 2011). Around 40% of the world’s population lives within 100 km of the coast (Seas and Plans, 2011). People are drawn to sandy...master thesis 2022
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Dell'Orto, Federico (author)Nowadays many companies still conceive their logistic operations as a simple material replenishment of the production plants and do not invest money and time in projects to structure their Supply Chain and bring more eciency to the production process. In addition, the high complexity of the automotive industry and the emerging uncertainties that...master thesis 2022
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van der Heijden, Sjoerd (author)In this thesis I use a novel approach to estimate the economic impact of the 2021 Limburg flood using high-frequency transaction data from ABN AMRO bank. High- frequency bank transaction data have previously been proven valuable in accessing the economic impact of the COVID-19 pandemic (Neuteboom et al., 2021). To the best of my knowledge, this...master thesis 2022
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de Wilt, Wouter (author)Big data analytics (BDA) and supply chain resilience are both present and important topics, but research on the relation between the subjects is limited. This also holds for the translation of the subject for a specific industry. This research therefore addresses this relation and translates it to a comprehensive partial resilience assessment...master thesis 2022
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de Bok, M.A. (author), Tavasszy, Lorant (author), Thoen, Sebastiaan (author)Reducing emissions caused by urban freight transportation is an increasingly important policy objective for transportation planners around the world. New and innovative ways of data collection provide new possibilities to analyze these issues. In this paper we present MASS-GT, a new multi-agent simulation system for urban goods transport. The...journal article 2022
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Wang, K. (author), Wang, Jianhang (author), Huang, Lianzhong (author), Yuan, Yupeng (author), Wu, Guitao (author), Xing, Hui (author), Wang, Zhongyi (author), Wang, Zhuang (author), Jiang, X. (author)Ship energy consumption and emission prediction are critical for ship energy efficiency management and pollution gas emission control, both of which are major concerns for the shipping industry and hence continue to attract global attention and research interest. This article examined the energy efficiency data sources, big data analysis for...review 2022
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Liu, Di (author), Baldi, S. (author), Yu, Wenwu (author), Chen, C. L.P. (author)The broad learning system (BLS) paradigm has recently emerged as a computationally efficient approach to supervised learning. Its efficiency arises from a learning mechanism based on the method of least-squares. However, the need for storing and inverting large matrices can put the efficiency of such mechanism at risk in big-data scenarios....journal article 2022
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Mrozek, Michal (author), Sirenko, M. (author), Foks-Ryznar, Anna (author), Sawicki, Bartosz (author)The paper presents a web-based system designed to visualize a simulation of ca. 500,000 residents of a city during the COVID-19 outbreak. Each agent's infection status and mobility are presented in the time scale. The main effort was to ensure simplicity from the user's perspective and smooth operation on various client devices. The full range...conference paper 2022
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Masso, Anu (author), Chukwu, Martha (author), Calzati, S. (author)This study explores relocated algorithmic governance through a qualitative study of the Ubenwa health app. The Ubenwa, which was developed in Canada based on a dataset of babies from Mexico, is currently being implemented in Nigeria to detect birth asphyxia. The app serves as an ideal case for examining the socio-cultural negotiations...journal article 2022
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Ashouri, Sajad (author), Suominen, Arho (author), Hajikhani, Arash (author), Pukelis, Lukas (author), Schubert, Torben (author), Türkeli, Serdar (author), van Beers, Cees (author), Cunningham, Scott (author)This article presents data on companies' innovative behavior measured at the firm-level based on web scraped firm-level data derived from medium-high and high-technology companies in the European Union and the United Kingdom. The data are retrieved from individual company websites and contains in total data on 96,921 companies. The data...journal article 2022
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Ahmad, T. (author), Ma, Chengxin (author), Al-Ars, Z. (author), Hofstee, H.P. (author)Current cluster scaled genomics data processing solutions rely on big data frameworks like Apache Spark, Hadoop and HDFS for data scheduling, processing and storage. These frameworks come with additional computation and memory overheads by default. It has been observed that scaling genomics dataset processing beyond 32 nodes is not efficient on...conference paper 2022
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Mostafaei, Habib (author), Smaragdakis, G. (author), Zinner, Thomas (author), Feldmann, Anja (author)Big data analytics platforms have played a critical role in the unprecedented success of data-driven applications. However, real-time and streaming data applications, and recent legislation, e.g., GDPR in Europe, have posed constraints on exchanging and analyzing data, especially personal data, across geographic regions. To address such...journal article 2022
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Breeman, Max (author)Over the last few years, regulations, changes in governance, and societal pressure have led to a push to rethink a firms’ approach to sustainability. This push created a need to place sustainability and numerous relevant technologies and approaches at the centre of the firms’ decision-making process. Within the financial industry, the...master thesis 2021
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Kanya Paramita Koesoemo, Kanya (author)The development of data stream processing has become one of the key themes in the database and distributed system community throughout the world as data has grown on a large scale and in a range of industries over the last several years. Because data stream processing is a relatively new breakthrough in data-driven approaches, several teams at...master thesis 2021
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Nicoletti, Leonardo (author)Throughout history, social movements have often been catalysts for radical societal change. In the past two decades, hashtag activism, the use of social media platforms for internet activism, has become a driving force behind the development of social movements across the world. From #MeToo to #IdleNoMore and most recently #JusticeForGeorgeFloyd...master thesis 2021
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Luppes, Bob (author)The increasing volume and latency requirements of big data impose challenges on the processing capacity of existing computing systems. FPGA accelerators can be leveraged to overcome these challenges, but questions remain as to how these accelerators are best deployed to accelerate big data frameworks. This work investigates how future big data...master thesis 2021
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Nguyen, Buu-Van (author)The single-step single nucleotide polymorphism best linear unbiased prediction (ssSNPBLUP) model can potentially be used in animal breeding for genetic evaluations. It has been reported that this model has convergence issues when the Preconditioned Conjugate Gradient (PCG) method is applied. This is due to the linear system being ill-conditioned...master thesis 2021