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

空氣傳播

Multi-modal Plant Leaf Recognition Based on Centroid-Contour Distance and Local Discriminant Canoniis (LDCCA). First, the CCD feature vector is extracted from each leaf image. Second, the extracted feature vectors of any two within-class leaves are integrated by LDCCA. Final, K-nearest neighbor classifier is applied to plant recognition. The experiment results on a public dataset validated the effectiveness of the proposed method.

知識

,Find the ‘Lost’ Cursor: A Comparative Experiment of Visually Enhanced Cursor Techniques,se techniques were dependent on their applied backgrounds and their cursor shapes. All the VECTs performed faster than the baseline in a common or a complex background. And the cursor-shape deforming technique totally outperformed all the others concerning mean task completion time in any kind of background.

著名

浪蕩子

Prediction of Dissolved Oxygen Concentration in Sewage Using Support Vector Regression Based on Fuzsub-samples by fuzzy C-mean clustering. Then, a support vector regression model is established on each sub sample. Compared with other prediction methods, the proposed model has good comprehensive prediction performance. It can satisfy the actual demand prediction of DO dissolved oxygen in sewage.

評論性

Deep Convolutional Neural Network for Fog Detection,exploitation of spatial and spectral information effectively. A dataset is created from Anhui Area which consists of ground station data and grid data. Different image sizes and convolutional kernels are used to validate the proposed methods. The experimental results show that the proposed method achieves 91.87% accuracy.

deforestation

Diskectomy

Research on Stock Forecasting Based on GPU and Complex-Valued Neural Network,cted to demonstrate the performance of CVNN model with parallel PSO algorithm. The experiment results reveal that our proposed method could improve stock index accurately and reduce training time sharply.

savage

Development of Remote Monitoring System of Communication Base Station Using IoT and Particle Filteron base station using several sensors, analyzes the collected data using particle filters, and controls the remotely base station. As a wireless remote control method, we implemented Bluetooth, Ethernet and Wi-Fi. Finally, it is designed for users to enable remote control and monitoring when the user is not in the base station.

審問

0302-9743 h International Conference on Intelligent Computing, ICIC 2018, held in Wuhan, China, in August 2018. The 275 full papers and 72 short papers of the three proceedings volumes were carefully reviewed and selected from 632 submissions. The papers are organized in topical sections such as Neural Networ

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