哭得清醒了 发表于 2025-3-28 18:30:58
http://reply.papertrans.cn/24/2331/233059/233059_41.png可以任性 发表于 2025-3-28 20:27:46
http://reply.papertrans.cn/24/2331/233059/233059_42.png开花期女 发表于 2025-3-29 02:23:58
http://reply.papertrans.cn/24/2331/233059/233059_43.pnggout109 发表于 2025-3-29 05:48:40
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 outosteocytes 发表于 2025-3-29 08:08:11
http://reply.papertrans.cn/24/2331/233059/233059_45.pngminimal 发表于 2025-3-29 12:23:05
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 gaARENA 发表于 2025-3-29 15:43:32
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.Pageant 发表于 2025-3-29 22:54:51
http://reply.papertrans.cn/24/2331/233059/233059_48.png刺耳 发表于 2025-3-30 03:03:52
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.Anterior 发表于 2025-3-30 06:07:46
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