Titlebook: Distributed Computing and Internet Technology; 15th International C Günter Fahrnberger,Sapna Gopinathan,Laxmi Parida Conference proceedings

低三下四之人

Licentious

The Fallacy of Corporate Moral Agencyholic EEG signal. These rhythm features were applied to ensemble subspace K NN classifier with 10-fold cross validation. The proposed method with ensemble subspace KNN classifier delivers best classification accuracy (98.25%) as compared with other existing techniques.

PLAYS

Research on CNN Parallel Computing and Learning Architecture Based on Real-Time Streaming Architectu in the case of achieving a recognition accuracy rate of 95%, the training time of single serial model is around 913 s, and in CNN-S model only needs 248 s. The acceleration ratio can reach 3.681. This shows that the CNN-S parallel model has better performance than single serial mode on training efficiency and cost of system resource.

泛滥

绕着哥哥问

不吉祥的女人

Digital Society: A Computing Science Prospectivedresses some of the issues like modelling a netizen, communication, pressure group creation, electronic voting, law making and education for digital society; scopes the research challenges the issues offer.

Neutral-Spine

0302-9743 selected from 115 submissions. The papers present research in three areas: distributed computing, Internet technologies, and societal applications..978-3-030-05365-9978-3-030-05366-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

Keratectomy

The Big Tokamaks: TFTR, JET, JT-60chedule length. We simulate the proposed algorithm on various scientific and random workflows of different size and category. The simulation results show that the proposed algorithm outperforms the existing scheduling algorithms.

demote

Transcervical Tubal Endoscopy: FalloposcopyUsing the results, a sensitivity analysis is performed in this paper. The weights are varied across thirty-four experiments. The result says that the minimum percentage of change required in the weight is 8.52% to alter the final ranking of alternatives.

ordain

The space debris environment and its impactsal verification framework based on abstractions and model checking for verifying safety properties. The framework is illustrated through an avionics case study involving an adaptive flight planning system.