Titlebook: Data Science: New Issues, Challenges and Applications; Gintautas Dzemyda,Jolita Bernatavi?ien?,Janusz Kac Book 2020 Springer Nature Switze

Soliloquy

GRE

Toma? Vrtovec,Franjo Pernu?,Bo?tjan Likaron deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and time-frequency signal representation converted to the investigated feature spaces. In particular, waveforms and fractal dimension features of the signal were chosen for the time domain, and three feature spac

reject

Jianhua Yao,Tobias Klinder,Shuo Lis necessary for digital learners. However, it is still a challenge for educators to teach CT in an attractive way for learners, also to find support to CT teaching content design and assessment. To address this problem, the literature review on CT in education was conducted and the main ideas of CT

machination

Toma? Vrtovec,Franjo Pernu?,Bo?tjan Likaror with an interfering signal. Modifications that are applied to the signal are related to the Lombard speech characteristics, i.e., pitch shifting, utterance duration changes, vocal tract scaling, manipulation of formants. A set of words and sentences in Polish, recorded in silence, as well as in t

AVERT

致詞

無能性

Ergots

Xing Ji,Guoyan Zheng,Li Liu,Dong Niy of enterprise software are two essential aspects that are at the core of system efficiency. This research focuses on the interoperability evaluation methods for the sole purpose of evaluating multiple enterprise applications interoperability capabilities in the model-driven software development en

純樸

Diuretic