Searched for: subject%3A%22Data%255C%2Bcollection%22
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Sav, Andra (author)
Machine Learning models are nowadays infused into all aspects of our lives. Perhaps one of its most common applications regards recommender systems, as they facilitate users' decision-making processes in various scenarios (e.g., e-commerce, social media, news, online learning, etc.). Training performed on large volumes of data is what ultimately...
bachelor thesis 2023
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Thierry, Martijn (author), Vet, Jasper (author), Uddin, Kazi Burhan (author), Wegman, F.C.M. (author)
The lack of good road crash data is a serious obstacle to analysing road safety problems in Low-and Middle-Income countries (LMICs) and this complicates, for example, the sound assessment of road safety interventions. Police crash reports are the main source of crash data, but often have significant limitations. This paper describes a...
journal article 2023
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Sav, Andra Georgiana (author), Demetriou, A.M. (author), Liem, C.C.S. (author)
Machine Learning (ML) models influence all aspects of our lives. They also commonly are integrated in recommender systems, which facilitate users’ decision-making processes in various scenarios, such as e-commerce, social media, news and online learning. Training performed on large volumes of data is what ultimately drives such systems to...
journal article 2023
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Feng, Y. (author)
This dissertation is focused on using Virtual Reality to study pedestrian wayfinding behaviour in buildings during both normal and emergency situations, from simple scenarios to complex scenarios. In particular, various empirical datasets featuring pedestrian wayfinding and evacuation behaviour were collected using different VR technologies to...
doctoral thesis 2022
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Reggiani, G. (author), Salomons, A.M. (author), Sterk, M.A.H. (author), O'Hern, Steve (author), Daamen, W. (author), Yuan, Y. (author), Hoogendoorn, S.P. (author)
Similarly to Maslow’s pyramid of human needs, we theorize that cities have a pyramid of bicycle network needs that depends on their level of bicycle culture. As an increasing number of data sources emerge for bicycle data collection, transport authorities face the challenge of understanding how to use the data and which data sources are fit for...
journal article 2022
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Whitworth, Michael R. Z. (author), Giardina, Giorgia (author), Penney, Camilla (author), Di Sarno, Luigi (author), Adams, Keith (author), Kijewski-Correa, Tracy (author), Black, Jacob (author), Foroughnia, Fatemeh (author), Macchiarulo, V. (author)
On 14th August 2021, a magnitude 7.2 earthquake struck the Tiburon Peninsula in the Caribbean nation of Haiti, approximately 150 km west of the capital Port-au-Prince. Aftershocks up to moment magnitude 5.7 followed and over 1,000 landslides were triggered. These events led to over 2,000 fatalities, 15,000 injuries and more than 137,000...
journal article 2022
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Ottun, Abdul Rasheed (author), Mane, Pramod C. (author), Yin, Zhigang (author), Paul, Souvik (author), Liyanage, Mohan (author), Pridmore, Jason (author), Ding, Aaron Yi (author), Sharma, Rajesh (author), Nurmi, Petteri (author), Flores, Huber (author)
Federated learning (FL) is a promising privacy-preserving solution to build powerful AI models. In many FL scenarios, such as healthcare or smart city monitoring, the user's devices may lack the required capabilities to collect suitable data, which limits their contributions to the global model. We contribute social-aware federated learning...
journal article 2022
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Arbabi, Mohammad Salar (author), Lal, C. (author), Veeraragavan, Narasimha Raghavan (author), Marijan, Dusica (author), Nygard, Jan F. (author), Vitenberg, Roman (author)
Continuously generated volumes of health data make healthcare a data-intensive domain. This data needs to be collected, stored, and shared among different healthcare actors for various purposes, such as reporting, analysis, collaborative research, and personalized healthcare services. However, the existing data storage and exchange solutions...
journal article 2022
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Gavriilidou, A. (author)
As the title suggests, cyclists are the main topic of this dissertation<br/>and more specifically, their behaviour while they are ‘in motion’. The<br/>term ‘in motion’ is used in the title to represent microscopic operational<br/>cycling behaviour, which is the behaviour of cyclists, treated as individuals<br/>(microscopic level), while they are...
doctoral thesis 2021
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Schellart, Alma N.A. (author), Blumensaat, Frank (author), Clemens, F.H.L.R. (author), van der Werf, J.A. (author), Mohtar, Wan Hanna Melina Wan (author), Ramly, Salwa (author), Muhammad, Nur (author), Bonneau, Jérémie (author), Fletcher, Tim D. (author)
Data collection in urban drainage systems comes with many challenges. However, many examples already exist, containing numerous useful lessons learned. This chapter therefore contains several urban drainage and stormwater management metrology case studies, selected to cover a wide range of scopes, scales, objectives, climates, data validation...
book chapter 2021
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book 2021
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van Nes, A. (author), Yamu, Claudia (author)
In previous chapters, we demonstrated various analytic techniques focusing on the spatial aspects of the built environment. In this chapter, we discuss various methods and techniques for collecting qualitative and quantitative data dealing with human behaviour and how to connect such data to the results from various space syntax analyses. This...
book chapter 2021
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Feng, Y. (author), Duives, D.C. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
Collecting pedestrian behaviour data is vital to understand pedestrian behaviour. This systematic review of 145 studies aims to determine the capability of contemporary data collection methods in collecting different pedestrian behavioural data, identify research gaps and discuss the possibilities of using new technologies to study pedestrian...
review 2021
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Kam, Berend (author)
Data collection and annotation have proven to be a bottleneck for computer vision applications. When faced with the task of data creation, alternative methods to traditional data collection should be considered, as time and cost may be reduced signif- icantly. We introduce three novel datasets for multi- label classification purposes on LEGO...
bachelor thesis 2020
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Willemsen, Maurice (author)
We consider a system of IoT nodes powered completely by energy harvesting.This work focuses on achieving the time correlation of data measurements ina network of energy harvesting sensor nodes. Time correlation is achieved byhopping a message through the whole network. This message wakes up all thenodes and lets them perform a measurement....
master thesis 2020
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Kourounioti, I. (author), Tavasszy, Lorant (author)
The development of new more efficient freight transportation services requires in depth understanding of the engaged stakeholders behavior. Simulation Games (SG) have been used to study decisions and raise awareness over complex transport problems. This paper investigates the possibility of applying a simulation game as an innovative data...
conference paper 2020
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Dugar, Yash (author)
Buildings don’t use energy: People do. Do highly efficient homes really save energy? Counter-intuitively, dwellings that use less energy have low energy efficiency, and those with higher energy consumption have higher efficiency. Moreover, even accurate building energy simulation for multiple buildings could not predict the actual energy...
master thesis 2019
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Zheng, Feifei (author), Tao, Ruoling (author), Maier, Holger R. (author), See, Linda (author), Savic, Dragan (author), Zhang, Tuqiao (author), Chen, Qiuwen (author), Assumpção, Thaine H. (author), Solomatine, D.P. (author)
Data are essential in all areas of geophysics. They are used to better understand and manage systems, either directly or via models. Given the complexity and spatiotemporal variability of geophysical systems (e.g., precipitation), a lack of sufficient data is a perennial problem, which is exacerbated by various drivers, such as climate change...
review 2019
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Hung, H.S. (author), Gedik, E. (author), Cabrera Quiros, L.C. (author)
When aspiring to achieve 'in the wild' behavior analysis, we come across a number of conceptual and practical issues. In this chapter, we focus primarily on describing the data collection process for the automated analysis of human social behavior. Specifically, we address the task of analyzing social interaction during conversations. Most...
book chapter 2019
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Larsson, Karolina (author), Paasch, Jesper (author), Paulsson, Jenny (author)
The possibility of forming 3D property units has not existed for a long time in Sweden. The legislation was introduced in 2004 and in 2009 the addition of apartment ownership (condominium) was added. Even though the demand for 3D property formation has not been as high yet as initially expected, there seems to be an increased interest in and...
conference paper 2018
Searched for: subject%3A%22Data%255C%2Bcollection%22
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