Titlebook: Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health; International 2019 C Huansheng Ning Conference proceedings 2019 S

Working-Memory

漫不經(jīng)心

Replicating Adenoviruses in Cancer Therapya and semi-structured data which are hard for machine-understanding and reuse. Security expert need to analyze the description, link to related knowledge and reason out the hidden connection among various weakness. It is necessary to analyze the vulnerability data automatically and manage knowledge

Blemish

Evasion of the Immune System by Adenovirusesl greatly benefit the development of economics, and society. It is difficult to assess the management of knowledge. Principal component analysis has been used to the knowledge management with the economic data, population data, educational data, research data for two developing countries and two dev

Tinea-Capitis

終止

狼群

https://doi.org/10.1007/978-3-662-05597-7 distance attribute but also the direction attribute. In this paper, we propose a new spatial object query, i.e., the direction-aware top-. dominating query (DirDom query). Given a user’s position and his favorite direction, the DirDom query finds the top-. objects with the highest dominant capabili

bromide

Abnormal

Mildred L. G. Shaw,Brian R. Gainest based on the combination of word embedding and semantic weight is low in computational complexity and its performance is even better than that based on complex structure such as RNN and LSTM. This paper proposes a semantic representation model of short text based on ELMO (Embeddings from Language

鍍金

Mildred L. G. Shaw,Brian R. Gainesimbalanced data. This paper proposes a feature pattern-based LSTM method (called FLSTM, Feature based Long Short Term Memory) to analyze failures through processing imbalanced data. The method constructs a time-series feature matrix as the input to the LSTM model. In addition, we propose a failure p

Comprise

Scott A. Davis,Steven R. Feldmanlationship can help us quickly screen and search for influential authors from a large number of authors, and then can be applied to author ranking, author recommendation and other systems. A method of building an author influence map is proposed in this paper. By introducing entropy weight method, e