Titlebook: Intelligent Computing Theories and Application; 14th International C De-Shuang Huang,Kang-Hyun Jo,Xiao-Long Zhang Conference proceedings 20

habitat

Exposure

食品室

基因組

Subjugate

hematuria

An RGBD Tracker Based on KCF Adaptively Handling Long-Term Occlusion,-known base KCF tracker and exploit how the depth information fusing to handle partial and long-term occlusion. To divides tracking model into parts, the proposed tracker could detect and handle occlusion of each part separately. Despite the robustness in tracking with long-term occlusion, our part-

Malaise

Background Subtraction with Superpixel and k-means,and less computation time for moving object detection. We use superpixels to divide similar pixels into the same area, K-mean is used to obtain the main color values of the superpixel. The mean and variance of superpixels and changes in the number of previous attractions are used as the discriminati

Fsh238

Research on Stock Forecasting Based on GPU and Complex-Valued Neural Network,NN) model is proposed to predict stock price. In order to improve the time of training CVNN model, a parallel particle swarm optimization (PSO) based on graphics processing unit (GPU) is proposed to optimize the complex-valued parameters of CVNN model. Shanghai stock exchange composite index is sele

燕麥

Development of Remote Monitoring System of Communication Base Station Using IoT and Particle Filtermepages of the world famous IoT appliances brands on the internet. And we combined the collected information in the literature investigating how to combine to particle filters for monitoring base communication station remotely..The developed system collects environmental data of wireless communicati

GEAR

Prediction of Dissolved Oxygen Concentration in Sewage Using Support Vector Regression Based on Fuzd on fuzzy C-means clustering is proposed to predict the content of dissolved oxygen (DO) in sewage. Firstly, the whole samples are divided into many sub-samples by fuzzy C-mean clustering. Then, a support vector regression model is established on each sub sample. Compared with other prediction meth