Titlebook: Artificial Intelligence and Computational Intelligence; International Confer Fu Lee Wang,Hepu Deng,Jingsheng Lei Conference proceedings 201

prosperity

阻撓

羊齒

LATHE

Saouma BouJaoude,Muhammad Faoures from different sensors, in order to enhance visualization for surveillance. On the basis of standard mathematical model of pulse coupled neural network, a novel step function is adopted to generate pulses. Subjective and objective image fusion performance measures are introduced to assess the per

豐滿中國(guó)

Wolfram Schulz,John Ainley,Tim Friedmanacquired in practice. To solve this problem, a real-time reliability assessment method based on Dynamic Probability Model is proposed. The primary step is to establish a Dynamic Probability Model on the basis of nonparametric Parzen window estimating method, and the sliding time-window technique is

FAST

prediabetes

overbearing

Stamatios Papadakis,Michail Kalogiannakisous due to the density of links varies cross the network. Road network, telecommunication network and internet are of these type networks. The thematic properties associated with the links of the network are dynamic, such as the flow, speed and journey time are varying in the peak and off-peak hours

AWE

https://doi.org/10.1007/978-981-97-1926-6 is in demand. Most of these studies focus on the improvement of classical algorithms for frequent itemsets mining. To obtain a tradeoff between the accuracy and computation time, in this paper we introduces an efficient algorithm for finding association rules from uncertain data with sampling-SARMU

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