Searched for: subject%3A%22Data%255C+Science%22
(1 - 20 of 56)

Pages

document
Wang, Sunwei (author)
With the increasing development of artificial intelligence (AI), there is a more significant opportunity for humans and agents to collaborate in teamwork. In Human-Agent Teamwork (HAT) settings, collaboration requires communication, and the agent displaying emotion can impact how human teammates communicate and work together with the agent. This...
master thesis 2024
document
Cheng, Y. (author), Krishnakumari, P.K. (author)
To analyze inherent and diverse patterns within line-based public transport daily delay occurrences, we introduce a data-driven exploratory analysis focused on the spatial-temporal distribution of these delays. Our approach relies on the utilization of the image pattern recognition technique and k-means clustering algorithm. We extract daily...
journal article 2024
document
Yen, Tian Qing (author)
We live in a society where our decisions are increasingly based on research, data, and modeling. The role of research institutions like Delft University of Technology (TU Delft) is to both educate future engineers and to produce research outputs that support our data-driven society. However, research is an ongoing way of regulating and realizing...
master thesis 2023
document
de La Vega Bayma de Oliveira, Luisa (author)
Accessibility is a fundamental concept concerning urban and transport planning as it is the elementary basis for socio-economic development in cities. It can be described as the potential to reach spatially distributed opportunities. Recent research has identified that excluding person-based features from this analysis might cause inaccurate...
master thesis 2023
document
Ries, Maxmillan (author)
Training deep learning models for time-series prediction of a target population often requires a substantial amount of training data, which may not be readily available. This work addresses the challenge of leveraging multiple related sources of time series data in the same feature space to improve the prediction performance of a deep learning...
master thesis 2023
document
Sterk, Alexander (author)
Software development has increasingly become an activity that is (partially) done online on open-source platforms such as GitHub, and with it, so have the tools developers typically use. One such category of tools is that of code coverage tools. These tools track and report coverage data generated during CI tests. As the adoption of these tools...
master thesis 2023
document
Zhao, Wenbo (author), Qiang, Weile (author), Yang, Fei (author), Jing, Guoqing (author), Guo, Y. (author)
Ballast layer defects are the primary cause for rapid track geometry degradation. Detecting these defects in real-time during track inspections is urgently needed to ensure safe train operations. To achieve this, an indicator, the track degradation rate (TDR) was proposed. This rate is calculated using track geometry inspection data to locate...
journal article 2023
document
Nouws, S.J.J. (author), Martinez de Rituerto de Troya, I. (author), Dobbe, R.I.J. (author), Janssen, M.F.W.H.A. (author)
Algorithmic and data-driven systems are increasingly used in the public sector to improve the efficiency of existing services or to provide new services through the newfound capacity to process vast volumes of data. Unfortunately, certain instances also have negative consequences for citizens, in the form of discriminatory outcomes, arbitrary...
conference paper 2023
document
Luchmun, Gyan (author)
In this thesis we are interested in distinguishing patterns of mesoscale cloud patterns in the trades. Specifically, whether Sugar, Gravel, Fish and Flowers patterns can objectively be identified using physical quantities. For this purpose, we use cloud fraction data attained by the CORAL Ka-Band cloud radar at the Barbados Cloud Observatory...
bachelor thesis 2022
document
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
document
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
document
Coraddu, A. (author), Kalikatzarakis, Miltiadis (author), Walker, J.M. (author), Ilardi, Davide (author), Oneto, Luca (author)
The purpose of this chapter is to provide an overview of the state-of-the-art and future perspectives of Data Science and Advanced Analytics for Shipping Energy Systems. Specifically, we will start by listing the different static and dynamic data sources and knowledge base available in this particular context. Then we will review the Data...
book chapter 2022
document
Sharma, Salil (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)
Optimizing route choices for truck drivers is a key element in achieving reliable road freight operations. For commercial reasons, it is often difficult to collect freight activity data through traditional surveys. Automated vehicle identification (AVI) data on fixed locations (e.g., Bluetooth or camera) are low-cost alternatives that may...
book chapter 2022
document
Ganguly, Auroop R. (author), van Breukelen, B.M. (author), Evers, Mariele (author), Hendricks Franssen, Harrie Jan (author), Illangasekare, Tissa (author), Kumar, Praveen (author), Steefel, Carl (author), Taylor, Richard G. (author)
contribution to periodical 2022
document
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
document
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
document
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
document
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
document
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
document
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
Searched for: subject%3A%22Data%255C+Science%22
(1 - 20 of 56)

Pages