Titlebook: Computational Science and Technology; 5th ICCST 2018, Kota Rayner Alfred,Yuto Lim,Patricia Anthony Conference proceedings 2019 Springer Nat

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A Robust Abnormal Behavior Detection Method Using Convolutional Neural Network,ed. The proposed approach automatically learns the most discriminative characteristics pertaining to human behavior from a large pool of videos containing normal and abnormal behaviors. Since the interpretation for abnormal behavior varies across contexts, extensive experiments have been carried out

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Computational Optimization Analysis of Feedforward plus Feedback Control Scheme for Boiler System, Genetic Algorithm. Based on a jacketed reactor case study, the performance of feedforward plus feedback control scheme tuned via Genetic Algorithm was compared to that tuned via Ziegler-Nichols tuning. Comparison of performances showed that computational optimization method via Genetic Algorithm ga

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Daily Activities Classification on Human Motion Primitives Detection Dataset,rest Neighbors and Random Forest. From the experimental results, the proposed model achieved the highest correct classification rate of 91.5% from Support Vector Machine with radial basis function kernel.

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刺耳

A Framework for Linear TV Recommendation by Leveraging Implicit Feedback,r-show interaction pair, unlike the traditional approach in which either the frequency or the duration is considered individually. Finally, we compare the results of the different recommendation algorithms in order to justify the effectiveness of our proposed approach.

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Crop Productivity in Changing Climate,ed. The proposed approach automatically learns the most discriminative characteristics pertaining to human behavior from a large pool of videos containing normal and abnormal behaviors. Since the interpretation for abnormal behavior varies across contexts, extensive experiments have been carried out