Titlebook: Digital Ecosystems: Interconnecting Advanced Networks with AI Applications; Andriy Luntovskyy,Mikhailo Klymash,Alexander Schil Conference

judiciousness

Jargon

https://doi.org/10.1007/978-1-4302-1957-6ntroduced controls that others consider to be grossly excessive. There is a lot of ambiguity and uncertainty. The article “Job losses caused by artificial intelligence and associated ethical problems” deals with the special forecasts and expected changes in the world of work. For this purpose, the f

斑駁

https://doi.org/10.1007/978-1-4302-4927-6taining large language models, all ethical considerations must be taken into account to prevent bias, discrimination, and harassment. Since training data historically includes data on discrimination against people who experience disabilities, it is necessary that more up-to-date data is collected fr

Pageant

https://doi.org/10.1007/978-1-4302-0382-7ate the set of primary and backup paths considering the selected routing metric. At the same time, the network controller at the upper level aims to coordinate lower-level decisions by ensuring inter-domain route connectivity and end-to-end delay. Therefore, the task of guaranteeing the end-to-end Q

cavity

Adam Freeman,Joseph C. Rattz Jr.ified images. It is demonstrated that the difference in classification accuracy is not large if one uses the same coder compressed data for training and classification or if the compression techniques are different. The largest difference has been observed for the situations when one coder is DCT-ba

侵蝕

清真寺

Arohi Redkar,Carlos Walzer,Tejaswi Redkars of different types to provide better predictions. In this method, the results of several models are used as indications for another model, which allows to improvement of the quality of forecasting; bagging uses multiple copies of the same model to analyze the data and provide more accurate results

concubine

https://doi.org/10.1007/978-1-4302-0048-2ry (LSTM) algorithm and implemented an automatic underfloor heating control system that uses these forecasts to optimize energy usage in a private household. We achieved a high accuracy of 91% in forecasting solar power generation and ensured efficient energy management based on conditions. We mean

輕觸

Salivary-Gland

Maarten Balliauw,Xavier Decostersing of information from different users was carried out. Features of functioning and basic requirements for the Industrial Internet of Things systems operation, the use of machine learning methods, and mathematical statistics to determine the main features for further data processing and rejection