- document
-
Qiu, Y. (author)Innovation is critical in driving economic growth. It fosters new products and services to move the economy forward. On the other hand, innovation requires new technologies to thrive. One such technology that has revolutionised various industries is big data. By harnessing big data, businesses can unlock valuable insights to enhance decision...doctoral thesis 2024
- document
-
The book is organized into three distinct parts. The first part focuses on data-driven digital technologies and delves into how their capabilities can facilitate the transition to a circular built environment. Essential aspects such as building information modeling (BIM), digital twins, geographical information systems (GIS), scanning...book 2024
- document
-
Brederode, L.J.N. (author)Strategic traffic assignment (TA) models assess long-term effects of policies on route choices of travelers. To meet stability requirements, current strategic TA models lack modelling of queues. This thesis develops two TA models that include queue modelling whilst satisfying stability requirements along with a method to fuse observed link flows...doctoral thesis 2023
- document
-
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
- document
-
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
- document
-
Masso, Anu (author), Männiste, Maris (author), Calzati, S. (author)This study strives to contribute to the discussions on the increasing use of data in organisational settings within specific contexts like governance and control of spatial mobilities. Whereas legal, regulatory, and technical aspects are widely studied, there is less knowledge about public discourses on data, especially the data professionals'...journal article 2023
- document
-
Mohammed, R.A. (author), Nadi Najafabadi, A. (author), Tavasszy, Lorant (author), de Bok, M.A. (author)Understanding the logistic determinants of freight trips is an important goal in freight transport modeling. Freight shipments move between nodes in the supply chain for different logistic purposes, including production, storage, transshipment, and consumption. A key problem with data availability is that databases generally do not identify...journal article 2023
- document
-
Bai, N. (author), Ducci, Marta (author), Mirzikashvili, Rusudan (author), Nourian, Pirouz (author), Pereira Roders, A. (author)The UNESCO 2011 Recommendation on the Historic Urban Landscape promotes to map cultural significance of urban heritage from the perspectives of the general public in pursuit of social inclusion in heritage management. The user-generated information already available on social media platforms in the form of images, comments, and ratings can be...conference paper 2023
- document
-
Zhang, Jinlei (author), Chen, Yijie (author), Krishnakumari, P.K. (author), Jin, Guangyin (author), Wang, Chengcheng (author), Yang, Lixing (author)Accurate and reliable short- term passenger flow prediction can support operations and decision-making of the URT system from multiple perspectives. In this paper, we propose a URT multi- step short- term passenger flow prediction model at the network level based on a Transformer-based LSTM network, Depth-wise Attention Block, and CNN network...journal article 2023
- document
-
Ribo-Perez, D.G. (author), As, J. Van (author), Montagud-Montalvá, C. (author), Royo-Pastor, R. (author)This research aims to diagnose the energy performance of buildings in València and identify areas where energy efficiency can be improved. The energy performance results of all 129,487 EPCs in the city were mapped and compared to socioeconomic variables to gain insights into the reasons behind the results. The study reveals that the city's...journal article 2023
- document
-
Vernaillen, T. (author), Wang, L. (author), Nunez, Alfredo (author), Dollevoet, R.P.B.J. (author), Li, Z. (author)This paper presents a big data-based analysis of the rail wear of the whole Belgian railway network measured in 2012 and 2019. Wear rates are reported, discussed, and quantitatively formulated as functions of critical factors in terms of curve radius, annual tonnage (rail age), high rail in curves, an average from both rails in straight...journal article 2023
- document
-
Cromjongh, Casper (author), Tian, Y. (author), Hofstee, H.P. (author), Al-Ars, Z. (author)In spite of progress on hardware design languages, the design of high-performance hardware accelerators forces many design decisions specializing the interfaces of these accelerators in ways that complicate the understanding of the design and hinder modularity and collaboration. In response to this challenge, Tydi is presented as an open...conference paper 2023
- document
-
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
- document
-
Hai, R. (author), Koutras, C. (author), Quix, Christoph (author), Jarke, Matthias (author)Data lakes are becoming increasingly prevalent for Big Data management and data analytics. In contrast to traditional 'schema-on-write' approaches such as data warehouses, data lakes are repositories storing raw data in its original formats and providing a common access interface. Despite the strong interest raised from both academia and...journal article 2023
- document
-
Mostafavi, F. (author), Khademi, S. (author)Residential buildings are responsible for a considerable share of energy consumption and carbon emission. To decarbonize by 2050, as agreed in the Paris Climate Accord, immediate action for lowering the environmental impact of the building sector is needed. Environmental building design is a promising path, particularly during the early-stage...conference paper 2023
- document
-
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
- document
-
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
- document
-
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
- document
-
Simonofski, Anthony (author), Tombal, Thomas (author), De Terwangne, Cécile (author), Willem, Pauline (author), Frenay, Benoît (author), Janssen, M.F.W.H.A. (author)Fraud analytics refers to the use of advanced analytics (data mining, big data analysis, or artificial intelligence) to detect fraud. While fraud analytics offers the promise of more efficiency in fighting fraud, it also raises legal challenges related to data protection and administrative law. These legal requirements are well documented but...journal article 2022
- document
-
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