Results 11 to 20 of about 13,293,967 (299)

Value-Informed Innovation: Integrating Value-Sensitive Design and Evidence-Informed Practice in Education

open access: yes35 th Bled eConference Digital Restructuring and Human (Re)action, 2022
Digital innovation in education – as in any other sector – is not only about developing and implementing novel ideas, but also about having these ideas effectively used as well as widely accepted and adopted, so that many students can benefit from innovations improving education. Effectiveness, transferability and scalability cannot be added afterwards;
Stappen, Esther van der   +1 more
openaire   +1 more source

Combining Dynamical and Statistical Modeling to Improve the Prediction of Surface Air Temperatures 2 Months in Advance: A Hybrid Approach

open access: yesFrontiers in Climate, 2022
A new type of hybrid prediction system (HPS) of the land surface air temperature (SAT) is described and its skill evaluated for one particular application.
Pascal Oettli   +6 more
doaj   +1 more source

Study of Slope Geological Hazard Susceptibility Valuation with Small Sample Based on CF and SVM

open access: yesTaiyuan Ligong Daxue xuebao, 2022
The number of geological hazards is one of the important factors that influence the sensitivity evaluation result. Owing to the small number of developmental geological hazards as sample points in a certain year, the applicability of sensitivity ...
Yongan XUE   +4 more
doaj   +1 more source

Assessment of landslide susceptibility, exposure, vulnerability, and risk in shahpur valley, eastern hindu kush

open access: yesFrontiers in Earth Science, 2022
This study assessed landslide susceptibility in Shahpur valley, situated in the eastern Hindu Kush. Here, landslides are recurrent phenomena that disrupt the natural environment, and almost every year, they cause huge property damages and human losses ...
Ghani Rahman   +13 more
doaj   +1 more source

Value of Information in Feedback Control [PDF]

open access: yes, 2018
In this article, we investigate the impact of information on networked control systems, and illustrate how to quantify a fundamental property of stochastic processes that can enrich our understanding about such systems.
Baras, John S.   +2 more
core   +2 more sources

Classification of imbalanced cloud image data using deep neural networks: performance improvement through a data science competition

open access: yesProgress in Earth and Planetary Science, 2021
Image data classification using machine learning is an effective method for detecting atmospheric phenomena. However, extreme weather events with a small number of cases cause a decrease in classification prediction accuracy owing to the imbalance in ...
Daisuke Matsuoka
doaj   +1 more source

Susceptibility assessment of debris flow based on watershed units in Kangding City, Sichuan Province

open access: yesZhongguo dizhi zaihai yu fangzhi xuebao, 2023
To study the susceptibility of debris flow in Kangding City, the study area was divided into 421 watershed units. Spatial analysis tools in ArcGIS software and SPSS software were used to analyze the internal superposition of evaluation indicators and the
Feng WANG   +4 more
doaj   +1 more source

Landslide susceptibility mapping using the statistical method of Information Value: A study case in Ribeirão dos Macacos basin, Minas Gerais, Brazil [PDF]

open access: yesAnais da Academia Brasileira de Ciências, 2021
This research study was developed in the Ribeirão dos Macacos basin at the district of Nova Lima, Minas Gerais state, Brazil. The information value statistical method was applied in the construction of the landslide susceptibility map at the 1:25,000 ...
MATEUS L. ROSA   +2 more
doaj   +1 more source

Exploration and Comparison of the Effect of Conventional and Advanced Modeling Algorithms on Landslide Susceptibility Prediction: A Case Study from Yadong Country, Tibet

open access: yesApplied Sciences, 2023
Shallow landslides pose serious threats to human existence and economic development, especially in the Himalayan areas. Landslide susceptibility mapping (LSM) is a proven way for minimizing the hazard and risk of landslides. Modeling as an essential step,
Zhu Liang   +7 more
doaj   +1 more source

Comparative analyses on susceptibility of cutting slope landslides in southern Jiangxi using different models

open access: yesZhongguo dizhi zaihai yu fangzhi xuebao, 2022
There are many landslide disasters in southern Jiangxi, with a wide area and a small scale, and are characterized by mass and suddenness. More than 90% of landslides are caused by artificial slope cutting.
Fei GUO   +6 more
doaj   +1 more source

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