Proceedings of 2nd International Conference on Computer Applications & Information Security (ICCAIS)

Нью-Йорк : IEEE, 2019.

Научный редактор: R. Sammouda

The 2nd International Conference on Computer Applications & Information Security (ICCAIS’ 2019) is inviting authors to submit original contributions in the event research area. ICCAIS’ 2019 is a selective single-track conference, covering all aspects of Networking and Information Security, Computer Applications, Electrical Engineering & Computer Science, Network Management, Network Function Virtualization, Software Defined Networks, Network Applications and Convergence of IT and Telecom Networks. The core track is accompanied by a series of workshops and poster sessions.

Papers accepted and presented at ICCAIS’ 2019 will be published open access on the conference Web site and will be submitted for possible inclusion in IEEE Xplore Digital Library. Authors of selected papers accepted for publication in ICCAIS’ 2019 proceedings will be invited to submit an extended version of their papers to the conference related journals.

Главы книги

Russian Freight Flights Time Prediction

Макаров И. А., , in: Proceedings of 2nd International Conference on Computer Applications & Information Security (ICCAIS).: NY: IEEE, 2019. P. 1–5.

We present a model for freight train time prediction based on station network analysis and specific feature engineering. We discuss the first pipeline to improve the freight flight duration prediction in Russia. While every freight company use only reference book made by RZD (Russian Railways) based on railroad distances with accuracy measured in days, we ...

Добавлено: 29 июля 2019 г.

Higher School of Economics Co-Authorship Network Study

Герасимова О. А., Макаров И. А., , in: Proceedings of 2nd International Conference on Computer Applications & Information Security (ICCAIS).: NY: IEEE, 2019. P. 1–4.

Co-authorship networks represent a graph, in which vertices are authors, and edges represent research papers written in co-authorship. Every paper could generate several edges in such a graph, if a number of coauthors is greater than two. Co-authorship networks play important role in understanding the structure of research collaborations usually resulted in joint research papers. ...

Добавлено: 29 июля 2019 г.

Generative Models for Fashion Industry using Deep Neural Networks

Ildar Lomov, Макаров И. А., , in: Proceedings of 2nd International Conference on Computer Applications & Information Security (ICCAIS).: NY: IEEE, 2019. P. 1–6.

The progress of deep learning models in image and video processing leads to new artificial intelligence applications in Fashion industry. We consider the application of Generative Adversarial Networks and Neural Style Transfer for Digital Fashion presented as Virtual fashion for trying new clothes. Our model generate humans in clothes with respect to different fashion preferences, ...

Добавлено: 29 июля 2019 г.

Ключевые слова: computer science, computer science