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Titlebook: Modelling in Mathematical Programming; Methodology and Tech José Manuel García Sánchez Book 2021 The Editor(s) (if applicable) and The Auth

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Keeley Crockettal all-sky camera pictures are limited in their field of view but often, in favourable conditions, provide useful supporting information with high time and space resolution. For example, these pictures can be used to support in-flight calibration of the topside imager sensitivity. Also, eastward mov
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Multivariate Korrelationsanalyse,hung zwischen zwei und mehr Korrelationen sowie auf den Zusammenhang von mehr als zwei Merkmalen. In dem nachfolgenden Abschnitt 9.2 wird ein Test über zwei Korrelationskoeffizienten präsentiert. Hierbei wird auf die Fishersche z- Transformation zurückgegriffen, die in Kapitel 8.A vorgestellt wurde.
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On Concepts of Regional Economic Structureof entities which we call “economies.” The economic literature implies that this diversity is sufficiently extensive to be a dominant feature of economies, or at least intractable to successful economic analysis. Amidst this diversity, economists have been able to identify commonalities or regularit
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The Anatomy of Civic Integrationd the communication protocols designed for the agents. It describes the initial agents’ functions in the proof-of-concept of our application. The model was implemented on a mobile device in order to simulate a navigation system adapted to indoor environments. The goal of the project was a proof-of-concept of an agent-based model.
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Exploring the Linkages Between Ecosystems and Human Healthers Association, when he commented on the importance of forest ecosystems to Aboriginal people. He observed that many Aboriginal people consider the forest as: “their food bank, drugstore, meat market, bakery, fruit and vegetable stand, building material centre, beverage supply, and the habitat for all of the creator’s creatures.”.
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Deep CNN Depth Decision in Intra Prediction,intra prediction method is more. This paper proposes a deep learning based intra prediction method using CNN. This deep depth prediction algorithm trains the network to provide depth of the CTU with reduced computation and less time. The experimental results show a dip in the encoding time, about 71.3% compared to existing method.
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Alessandro Chiaramonte,Vincenzo Emanueleation accuracy estimation of the flood inundation map through the AUROC method along with the four machine learning models showed that the Naïve Bayes (AUROC = 92.6%) outperformed the SVM (AUROC = 89.9%), RF (AUROC = 89.4%), and logistic regression (AUROC = 88.5%) models. Cloud-based GEE services pr
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