Titlebook: Exploration of Novel Intelligent Optimization Algorithms; 12th International S Kangshun Li,Yong Liu,Wenxiang Wang Conference proceedings 20

消滅

The Combination of?GRU and?Dense Block for?Image Denoising Networktasets demonstrate that the proposed model outperforms the state of the art methods under all different noise levels in terms of PNSR, and the visual effects achieved by the proposed model are also better than the competing methods.

削減

Construction Methods of Dujiangyan Tourism Culture Image Based on Text Information Mining Technologyf great significance. This paper aims to study the way of constructing the tourism cultural image of Dujiangyan based on Text Information Mining (TIM) technology and questionnaire survey. Finally, some suggestions are purposed for the promotion of Dujiangyan’s tourism and cultural image in the era of We-Media.

crucial

Research on Self-driving Lane and Traffic Marker Recognition Based on Deep Learningffic marker recognition model based on YOLO5, by collecting data and completing model training, finally achieves the average lane crush of the self-driving car less than 1 time, and the traffic marker recognition rate reaches 98.5%.

homeostasis

Design and Implementation of Intelligent Garbage Sorting System Based on TensorFlow of TensorFlow platform to train the garbage sorting model to realize garbage image recognition. The WeChat Mini program also provides a variety of garbage search methods such as photo, voice and text, which is convenient for users to use, to improve residents’ awareness of garbage sorting and promote global ecological environment governance.

COLON

有惡意

preeclampsia

完成才能戰(zhàn)勝

Meager

Experiment Analysis on Fast Features Bag Approach for Pedestrian Re-recognitionorithm, which improves the matching accuracy in the few samples cases. Then, we used the LIBSVM classifier based on the FFB algorithm to improve the efficiency of the pedestrian re-recognition algorithm. By contrast with the CMC curve, we compared the proposed method with traditional mainstream algo

ethereal