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MyJournals.org - Science - 'Entropy, Vol. 25, Pages 1017: Spatio-Temporal Fractal Dimension Analysis from Resting State EEG Signals in Parkinson's Disease' (Entropy)

MyJournals.org - Science - Entropy, Vol. 25, Pages 1017: Spatio-Temporal Fractal Dimension Analysis from Resting State EEG Signals in Parkinson’s Disease (Entropy) ....

Patio Temporal , Parkinson Rsquo S ,

"Environmental data science: Part 2" by Wesley S. Burr, Nathaniel K. Newlands et al.

Environmental data science is a multi-disciplinary and mature field of research at the interface of statistics, machine learning, information technology, climate and environmental science. The two-part special issue ‘Environmental Data Science’ comprises a set of research articles and opinion pieces led by statisticians who are at the forefront of the field. This editorial identifies and discusses common research themes that appear in the contributions to Part 2, which focuses on applications. These include spatio-temporal modeling; the problem of aggregation and sparse sampling; the importance of community-building and training for the next generation of specialists in environmental data science; and the need to look forward at the challenges that lie ahead for the discipline. This editorial complements that of Part 1, which largely focuses on statistical methodology; see Zammit-Mangion, Newlands, and Burr (2023). ....

Environmental Data Science , Patio Temporal ,

"Environmental data science: Part 1" by Andrew Zammit-Mangion, Nathaniel K. Newlands et al.

Environmental data science is a multi-disciplinary and mature field of research at the interface of statistics, machine learning, information technology, climate and environmental science. The two-part special issue ‘Environmental Data Science’ comprises a set of research articles and opinion pieces led by statisticians who are at the forefront of the field. This editorial identifies and discusses common strands of research that appear in the contributions to Part 1, which largely focus on statistical methodology. These include temporal, spatial and spatio-temporal modeling; statistical computing; machine learning and artificial intelligence; and the critical question of decision-making in the presence of uncertainty. This editorial complements that of Part 2, which largely focuses on applications; see Burr, Newlands, and Zammit-Mangion (2023). ....

Environmental Data Science , Patio Temporal , Statistical Computing ,

The covid-19 pandemic situation i... preview & related info

(2021) Aw et al. International Journal of Environmental Research and Public Health. This paper attempts to ascertain the impacts of population density on the spread and severity of COVID-19 in Malaysia. Besides describing the spatio-temporal contagion risk of the virus, ultimately, it seeks to te. ....

Malaysia Ministry Of Health , Covid 19 , Non Pharmaceutical Measures , Earson Correlations , Population Density , Patio Temporal ,