Titlebook: Artificial Intelligence Applications and Innovations; 16th IFIP WG 12.5 In Ilias Maglogiannis,Lazaros Iliadis,Elias Pimenidis Conference pr

招惹

Cybersecurity Landscape for Computer Systemsizing on various Smart Cities components, such as data harvesting and data mining. It addresses the research question whether we can forecast traffic load based on past data, as well as meteorological conditions. Results have shown that various models can be developed based on weather data with varying level of success.

Neutral-Spine

SUGAR

多產(chǎn)魚

表狀態(tài)

Using Classification for Traffic Prediction in Smart Citiesizing on various Smart Cities components, such as data harvesting and data mining. It addresses the research question whether we can forecast traffic load based on past data, as well as meteorological conditions. Results have shown that various models can be developed based on weather data with varying level of success.

追逐

Α Benchmarking of IBM, Google and Wit Automatic Speech Recognition SystemsGoogle, and Wit, using the WER, Hper, and Rper error metrics. The experimental results show that Google’s automatic speech recognition performs better among the three systems. We intend to extend the benchmarking both to include most of the available Automated Speech Recognition systems and increase our test data.

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蠟燭

inhumane

LASH

https://doi.org/10.1007/978-3-030-49161-1artificial intelligence; classification; computational linguistics; computer hardware; computer networks