Titlebook: Improved FMEA Methods for Proactive Healthcare Risk Analysis; Hu-Chen Liu Book 2019 Springer Nature Singapore Pte Ltd. 2019 FMEA.Failure M

愛(ài)社交

Adenoma

ctive resource allocation strategy, a revenue maximization online auction (RMOA) algorithm is designed. Theoretical analysis shows that the RMOA algorithm can achieve optimal system revenue approximately while ensuring the stability of the MEC system. In addition, simulation results indicate the eff

CYN

敲詐

巫婆

h to adapt it to the mobile network environment with a limited communication range for each robot and dynamic network topology in the swarm. With a set of motivated scenarios of collective decision making, we verified the effectiveness of our approach and the results show that our approach helps rob

heckle

細(xì)胞學(xué)

Hu-Chen Liusign objectives and rationales, workflow and functional design, CP-ROOF’s architecture and components, and major technical issues and solutions. Preliminary user evaluations and performance experiments have demonstrated the feasibility of the framework and the satisfactory performance of the prototy

使顯得不重要

Hu-Chen Liu, the intermittent chaos theory and variable step method are leveraged to improve the existing dual-coupled Duffing oscillator method. The simulation results show that the proposed method can sense weak signals in the background of strong Lévy noise and estimate its frequency, with an estimation err

Lime石灰

Hu-Chen Liuion Network) mechanism to dynamically learn the importance of mobile applications’ features and uses a bilinear function with combining inner product and Hadamard product to effectively learn these features interactions, respectively. Then, the user preferences for different mobile applications are

ensemble