O'Brien, S. (2011) Towards predicting post-editing productivity. Machine Translation, 25 (1). pp. 197-215. -- (2011). "Towards predicting post-editing productivity." Machine Translation, 25(3), 197-215.O'Br
Predicting air quality via multimodal AI and satellite imagery Remote Sensing of Environment, 293 (2023), Article 113609 View PDFView articleView in ScopusGoogle Scholar Safitri and Pradipta, 2023 I.K. Safitri, K. Pradipta Urbanization in Pictures (In Indonesia) Tempo.co, Jakarta (2023) Google ...
(2018) found that accurately quantifying and predicting embodied carbon emissions (ECEs) during the schematic design phase is an effective strategy for mitigating and reducing ECEs directly from their origin [35], [55]. This study is based on the application of the BIM tool, REVIT 2021, to ...
ethanol and butanol [19,59]. To enable the commercialization of bioprocess for the production of bulk chemicals like solvents, an estimated product titer of 50 g L−1, the productivity of 3 g L−1h−1and yield not
In total, you'll find more than 44 code snippets that'll improve your productivity in JavaScript.2. ESLintESLint is a linter that statically analyzes your code to find problems based on a set of pre-configured rules.Normally you run ESLint through your terminal to check your code, but ...
The feature importance results of the Catboost Classifier algorithm show that the cultural dimensions of Assertiveness, Year Value, In-group Collectivism, Uncertainty Avoidance, and Human Oriented are highly important in predicting herd behavior in a market. The findings (see Fig. 5, Fig. 7, Table...
Energy system estimations play a crucial role in predicting future energy consumption, considering factors such as service demands, available power alternatives, costs, and technology efficiency (WhiteHouse, 2022). However, the current estimations often fail to accurately reflect the energy consumption of...
Ottewell KM, Donnellan SC, Lowe AJ, Paton DC (2009) Predicting reproductive success of insect- versus bird-pollinated scattered trees in agricultural landscapes. Biol Cons 142:888–898 Article Google Scholar Ouborg NJ, Vergeer P, Mix C (2006) The rough edges of the conservation genetics para...
The predictive relevance may be evaluated using the Stone–Geisser criteria, assuming that an internal model can be used in predicting the indicators of the endogenous latent construct [134]. Here, Q2 is significant in assessing how effectively a model predicts missed case data [134]. Therefore,...
There was also no statistically significant difference between cohort members’ PGS and their sex in predicting response to any given wave. Second, we examined whether sample attrition resulted in a sex differential in the PGS. At no sweep was there a statistically significant sex difference in ...