Titlebook: Computer Information Systems and Industrial Management; 20th International C Khalid Saeed,Ji?í Dvorsky Conference proceedings 2021 Springer

小費(fèi)

書目名稱Computer Information Systems and Industrial Management影響因子(影響力)




書目名稱Computer Information Systems and Industrial Management影響因子(影響力)學(xué)科排名




書目名稱Computer Information Systems and Industrial Management網(wǎng)絡(luò)公開度




書目名稱Computer Information Systems and Industrial Management網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Information Systems and Industrial Management被引頻次




書目名稱Computer Information Systems and Industrial Management被引頻次學(xué)科排名




書目名稱Computer Information Systems and Industrial Management年度引用




書目名稱Computer Information Systems and Industrial Management年度引用學(xué)科排名




書目名稱Computer Information Systems and Industrial Management讀者反饋




書目名稱Computer Information Systems and Industrial Management讀者反饋學(xué)科排名

腫塊

liposuction

AV-node

慢跑鞋

租約

租約

,Seilstatik, Kettenlinien, Stützlinien, based on pre- and post-questionnaires about digital competences were performed. The questionnaires were prepared accordingly to the Digital Competence Framework 2.0 (DigComp 2.0). Obtained results gave a picture of the effectiveness of developing the digital competences of the primary school teachers.

尖酸一點(diǎn)

Das zentrale ebene Kraftsystem, Computational Diffie-Hellman problem and meets other requirements imposed on group signature schemes. The scheme has been implemented and performance tests have shown that the scheme is suitable for practical application.

surrogate

Augmentation of Gait Cycles Using LSTM-MDN Networks in Person Identification Systeman LSTM-MDN model in the augmentation process has promising results increasing f-score from 0.94 to 0.96. Whereas, use classical state-of-the-art augmentation method did not affect the person identification metrics.

大量

Raspberry Pi-Based Device for Finger Veins Collection and the Image Processing-Based Method for Minuhms it is possible to obtain precise information about human veins. The final step in our algorithm is connected with feature vector generation. In this work we do not present a classification stage as it is out of its scope.