Tanja Krone
Biographic Data
| ID | 7833629 |
|---|---|
| NAME | Tanja Krone |
| GIVEN NAMES | Tanja |
| FAMILY NAME | Krone |
| SIGNATURE | KRONE T |
| AFFILIATIONS | University of Groningen |
| ORCID | 0000-0003-4902-9907 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
Exploring Evaluation Variables for Low-Cost Particulate Matter Monitors to Assess Occupational Exposure
(1) Background: Small, lightweight, low-cost optical particulate matter (PM) monitors are becoming popular in the field of occupational exposure monitoring, because these devices allow for real-time static measurements to be collected at multiple locations throughout a work site as well as being used as wearables providing personal exposure estimates. Prior to deployment, devices should be evaluated to optimize and quantify measurement accuracy. …
A multivariate statistical model for emotion dynamics
In emotion dynamic research, one distinguishes various elementary emotion dynamic features, which are studied using intensive longitudinal data. Typically, each emotion dynamic feature is quantified separately, which hampers the study of relationships between various features. Further, the length of the observed time series in emotion research is limited and often suffers from a high percentage of missing values. In this article, we propose a vec…
No prominent works on this page.
A multivariate statistical model for emotion dynamics
In emotion dynamic research, one distinguishes various elementary emotion dynamic features, which are studied using intensive longitudinal data. Typically, each emotion dynamic feature is quantified separately, which hampers the study of relationships between various features. Further, the length of the observed time series in emotion research is limited and often suffers from a high percentage of missing values. In this article, we propose a vec…
Exploring Evaluation Variables for Low-Cost Particulate Matter Monitors to Assess Occupational Exposure
(1) Background: Small, lightweight, low-cost optical particulate matter (PM) monitors are becoming popular in the field of occupational exposure monitoring, because these devices allow for real-time static measurements to be collected at multiple locations throughout a work site as well as being used as wearables providing personal exposure estimates. Prior to deployment, devices should be evaluated to optimize and quantify measurement accuracy. …
Computer Science (2 works) · Mathematics (2 works) · Statistics (2 works) · Air Quality and Health Impacts (1 work) · Air Quality Monitoring and Forecasting (1 work) · Artificial Intelligence (1 work) · Autoregressive model (1 work) · Bayesian probability (1 work) · Complex Network Analysis Techniques (1 work) · Embedded system (1 work)