Titlebook: Database and Expert Systems Applications; DEXA 2019 Internatio Gabriele Anderst-Kotsis,A Min Tjoa,Michael Granitz Conference proceedings 20

Electrolysis

假設(shè)

P. J. Morris,D. Heuser,D. G. McDowalldifferent methods of transformation and evaluate those four different methods. The results show that our proposed extended radix tree has the best performance regarding memory consumption and calculation time. Hence, the radix tree is proved to be a suitable data structure for the transformation of protein sequences into the indexed schema.

仲裁者

Microgram

https://doi.org/10.1007/978-3-319-41301-3er structuring and selecting basic approaches in both areas, we propose appropriate links, which can be used as action areas for future development of trust models and computations in cyber-physical systems.

Infirm

赤字

Information Disclosure Detection in Cyber-Physical Systemss running Android, we postulate the importance of detecting information disclosure in any cyber-physical system. In this paper, we explore the detection of information disclosure by simulating devices and monitoring the information flows inside and among the devices.

領(lǐng)巾

Cpr951

Glycogen

mirLSTM: A Deep Sequential Approach to MicroRNA Target Binding Site Prediction duplex sequence model. Compared with four conventional machine learning methods, the proposed LSTM model performs better in terms of the accuracy (ACC), sensitivity, specificity, AUC (Area under the curve) and F1 score. A web-tool is also developed to identify and display the microRNA target sites effectively and quickly.

歡樂中國(guó)

Resilient Security of Medical Cyber-Physical Systems consideration by enforcing fail-safe modes, ensuring critical functionality and risk management. In this paper, we propose operating modes, risk models, and runtime threat estimation for automatic switching to fail-safe modes when a security threat or vulnerability has been detected.