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Vera van Zoest
Vera van Zoest
Swedish Defence University
在 fhs.se 的电子邮件经过验证
标题
引用次数
引用次数
年份
Calibration of low-cost NO2 sensors in an urban air quality network
V van Zoest, FB Osei, A Stein, G Hoek
Atmospheric environment 210, 66-75, 2019
692019
Outlier detection in urban air quality sensor networks
VM Van Zoest, A Stein, G Hoek
Water, Air, & Soil Pollution 229, 1-13, 2018
602018
Spatio-temporal regression kriging for modelling urban NO2 concentrations
V van Zoest, FB Osei, G Hoek, A Stein
International Journal of Geographical Information Science 34 (5), 851-865, 2020
522020
Exploring the susceptibility of smart farming: Identified opportunities and challenges
E Jerhamre, CJC Carlberg, V van Zoest
Smart Agricultural Technology 2, 100026, 2022
372022
Demand charges and user flexibility–Exploring differences in electricity consumer types and load patterns within the Swedish commercial sector
V van Zoest, F El Gohary, ECH Ngai, C Bartusch
Applied Energy 302, 117543, 2021
162021
Bayesian analysis of the short-term association of NO2 exposure with local burden of asthmatic symptoms in children
V van Zoest, G Hoek, F Osei, A Stein
Science of the total environment 720, 137544, 2020
142020
Data Quality Evaluation, Outlier Detection and Missing Data Imputation Methods for IoT in Smart Cities
V Van Zoest, X Liu, E Ngai
Machine Intelligence and Data Analytics for Sustainable Future Smart Cities …, 2021
72021
Mental health among pregnant women during the pandemic in Sweden–A mixed methods approach using data from the Mom2B mobile application for research
E Fransson, M Karalexi, M Kimmel, E Bränn, N Kollia, V van Zoest, ...
MedRxiv, 2020.12. 18.20248466, 2020
72020
Evaluating the effects of the COVID-19 pandemic on electricity consumption patterns in the residential, public, commercial and industrial sectors in Sweden
V van Zoest, K Lindberg, F El Gohary, C Bartusch
Energy and AI 14, 100298, 2023
52023
Leveraging Machine Learning for Disease Diagnoses based on Wearable Devices: A Survey
Z Jiang, V van Zoest, W Deng, ECH Ngai, J Liu
IEEE Internet of Things Journal, 2023
42023
Unimodal vs. Multimodal Prediction of Antenatal Depression from Smartphone-based Survey Data in a Longitudinal Study
M Zhong, V Van Zoest, AM Bilal, F Papadopoulos, G Castellano
Proceedings of the 2022 International Conference on Multimodal Interaction …, 2022
42022
Spatio-temporal predictions of COVID-19 test positivity in Uppsala County, Sweden: a comparative approach
V van Zoest, G Varotsis, U Menzel, A Wigren, B Kennedy, M Martinell, ...
Scientific Reports 12 (1), 15176, 2022
42022
Large differences in community COVID-19 testing across geographic areas in a Swedish region with 385,000 inhabitants
B Kennedy, M Martinell, U Hammar, V van Zoest, RS Kristiansson, ...
2*2020
Differentiated mental health patterns in pregnancy during COVID-19 first two waves in Sweden: a mixed methods study using digital phenotyping
E Fransson, M Karalexi, M Kimmel, E Bränn, N Kollia, A Tas, V van Zoest, ...
Scientific Reports 12 (1), 21253, 2022
12022
Energy-Efficient Monitoring of Potential Side Effects from COVID-19 Vaccines
W Deng, ECH Ngai, V Van Zoest
2022 IEEE International Conferences on Internet of Things (iThings) and IEEE …, 2022
12022
A note on the propagation of positional uncertainty in environmental models
V van Zoest, J van Buul, F Osei, A Stein
Transactions in GIS 25 (6), 3119-3131, 2021
12021
Spatio-temporal modelling of the effects of the COVID-19 pandemic on electricity consumption patterns in Stockholm, Sweden
V van Zoest, K Lindberg, F El Gohary, C Bartusch
Science Talks 9, 100300, 2024
2024
Predicting COVID-19 hospitalizations: The importance of healthcare hotlines, test positivity rates and vaccination coverage
V van Zoest, K Lindberg, G Varotsis, FB Osei, T Fall
Spatial and Spatio-temporal Epidemiology 48, 100636, 2024
2024
CRUSH Covid-ett tvärvetenskapligt samarbetsprojekt
T Fall, S Engblom, T Monstad, Y Ekström, V van Zoest, B Kennedy, ...
2023
Uppsala: Groundwater management in the neighbourhood of Rosendal
V van Zoest, E Ngai, SS Tripathi, A Suryawanshi
Designing Sustainable and Resilient Cities, 24-25, 2023
2023
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