Titlebook: Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,; IISA2023 Nikolaos Bourbakis,George A.

Blandishment

书目名称Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,影响因子(影响力)




书目名称Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,影响因子(影响力)学科排名




书目名称Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,网络公开度




书目名称Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,网络公开度学科排名




书目名称Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,被引频次




书目名称Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,被引频次学科排名




书目名称Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,年度引用




书目名称Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,年度引用学科排名




书目名称Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,读者反馈




书目名称Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems,读者反馈学科排名

FAR

疲劳

https://doi.org/10.1007/978-3-531-90431-3orization approach. Specifically, we classify the relevant works according to: i) the application field they focus on, ii) the methods they introduce to mitigate class imbalance, and iii) the classification models they utilize to evaluate the introduced algorithms. Additionally, we cover the state-o

有节制

Wahlkampfmedien und Medienwahlkampf, academic context called “tentacles-metric” (TENMET). The objective of the TENMET metric is to detect the intensity of the deviation of the data that is progressively and automatically incorporated into the learning machines, based on a heuristic and systematic evaluation of social networks. The ana

Atmosphere

Medien und die soziale Konstruktion von Zeitriables and examines the explainability of interpretable short-term load forecasting structures that utilize environmental sequences towards the selection of important feature subsets that maximize the explained variance of load time series as well as the seasonal, trend and residual load components

一美元

Bernd Schorb,Anja Hartung,Wolfgang Reißmannh machine learning algorithms for the early detection and automated identification of pests and diseases, enabling prompt and effective interventions. This paper aims to provide a comprehensive overview of current applications and emerging trends in the use of thermal imaging and machine learning in

一美元

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微尘

不可思议

Stephan Münte-Goussar Dipl.-Päd.ongoing research study in our Department that will involve students enrolled in various courses and staff members are then outlined. Preliminary assessment results obtained from senior pre-service teachers enrolled in the undergraduate course ‘Creative Writing’ are discussed. The overall discussion