Titlebook: Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health; International 2020 C Huansheng Ning,Feifei Shi Conference proceed

podiatrist

Numeric CNNs: CNNs for Reading Numeric Characters on Meterspicture collection and image recognition. Previous works treat meter reading as a problem of image classification. They only focus on the accuracy of classification but ignore numerical accuracy, which is the measurement’s essential performance. In this paper, we address that the meter reading is a

圍裙

DeepTSW: An Urban Traffic Safety Warning Framework Based on Bayesian Deep Learningdditional features and machine learning models, mainly considering whether accidents can be accurately predicted, but these work cannot be well integrated with smart cities. In order to better apply traffic safety warning to smart cities, we propose a traffic safety warning framework based on Bayesi

indignant

constellation

窩轉(zhuǎn)脊椎動(dòng)物

Lineage

Summarization of Coal Mine Accident Reports: A Natural-Language-Processing-Based Approachroblem of safety production. Correspondingly, a large number of coal mine accident reports have been generated. These reports detail the causes of safety accidents and the corresponding treatment measures, which have important guidance and reference for the handling of subsequent safety accidents. N

獨(dú)白

BOAST

卡死偷電

尖牙

Wi-Sector - A Novel Sector-Based WiFi Schedulingis paper, we borrow the hard-disk sector idea to sectorize the whole coverage of a dense network and hence propose a Wi-Fi sector (Wi-Sector) design to solve the collision problem fundamentally. With Wi-Sector, the access point (AP) first silences all nodes, and then activates each sector sequential