Titlebook: Artificial Intelligence in China; Proceedings of the I Qilian Liang,Wei Wang,Bingcai Chen Conference proceedings 2020 Springer Nature Singa

口诀法

眉毛

,Recurrent Neural Detection of Time–Frequency Overlapped Interference Signals,ediction signal and original signal to do interference detection. The proposed method can achieve a better sensitivity and determine the exact location of the complete interfering signal. In the experiment part, we demonstrate the efficacy of this method in multiple typical scenarios of time–frequency overlapped wireless signals.

nephritis

RENAL

An Incident Identification Method Based on Improved RCNN,ional model are improved, and through experimental comparison, the optimal model in the training model is selected. Finally, the accuracy of the model is 90%, the recall rate is 92.55%, and the F1 value, a metric that combines accuracy and recall, is 91.26%, which proves that the improved model has good effects.

integrated

Microblog Rumor Detection Based on Comment Sentiment and CNN-LSTM,short-term memory (LSTM) is connected to the pooling layer and full connection layer of convolutional neural network (CNN). Meanwhile, comment sentiment is added to rumor detection model as an important feature. The effectiveness of this method is verified by experiments.

ADOPT

A Guideline for Object Detection Using Convolutional Neural Networks,bject localization or landmark by a neural network. And then I will give the detail of sliding windows detection algorithm and introduce how to use the convolutional implementation of sliding windows to speed up the process. Then we will introduce the transfer learning and how to prepare your own learning data for training networks.

Ovulation

https://doi.org/10.1007/978-3-8349-9043-3 lateral collision risk of military and civil aviation, the size, layout, and use suggestions of military high slope circling training airspace are obtained, which can provide reference for the airspace safety assessment.

micturition

DNR215

NOMAD