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大型露天煤矿AI智能化高空瞭望系统 认领 引用
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作者 王永敬 《露天采矿技术》 CAS 2025年第3期49-53,共5页
为了健全露天矿区的立体安全保障体系,针对露天煤矿监控点位分散、采场生产过程中诸多工作细节无法远程、及时、可视化调度指挥的问题,尤其是在密集作业面大小车辆交叉作业时存在较大安全隐患等情况,设计了一套高空瞭望系统。阐述了高... 为了健全露天矿区的立体安全保障体系,针对露天煤矿监控点位分散、采场生产过程中诸多工作细节无法远程、及时、可视化调度指挥的问题,尤其是在密集作业面大小车辆交叉作业时存在较大安全隐患等情况,设计了一套高空瞭望系统。阐述了高空瞭望系统的框架及系统组成,详细介绍了基于大数据学习和深度神经网络等智能化算法的智能识别技术。系统通过构建智能AI中台,搭载核心AI智能算法,实现对露天矿采场和排土场的全覆盖超高清实时监控,能够对矿区生产活动进行深度识别,同时具备全时空回溯功能,系统提升了露天矿区生产立体安保能力,保障了露天煤矿安全生产。 展开更多
关键词 煤矿智能化 全景监控 高空瞭望 AI中台 智能算法
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Clinically applicable artificial intelligence algorithm for the diagnosis,evaluation,and monitoring of acute retinal necrosis 认领 引用 被引量：2
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作者 Lei FENG Daizhan ZHOU +5 位作者 Chenqi LUO Junhui SHEN Wenzhe WANG Yifei LU Jian WU Ke YAO 《Journal of Zhejiang University-SCIENCE B》 SCIE CAS CSCD 2021年第6期504-511,共8页
The prompt detection and proper evaluation of necrotic retinal region are especially important for the diagnosis and treatment of acute retinal necrosis(ARN).The potential application of artificial intelligence(AI)alg... The prompt detection and proper evaluation of necrotic retinal region are especially important for the diagnosis and treatment of acute retinal necrosis(ARN).The potential application of artificial intelligence(AI)algorithms in these areas of clinical research has not been reported previously.The present study aims to create a computational algorithm for the automated detection and evaluation of retinal necrosis from retinal fundus photographs.A total of 149 wide-angle fundus photographs from40 eyes of 32 ARN patients were collected,and the U-Net method was used to construct the AI algorithm.Thereby,a novel algorithm based on deep machine learning in detection and evaluation of retinal necrosis was constructed for the first time.This algorithm had an area under the receiver operating curve of 0.92,with 86%sensitivity and 88%specificity in the detection of retinal necrosis.For the purpose of retinal necrosis evaluation,necrotic areas calculated by the AI algorithm were significantly positively correlated with viral load in aqueous humor samples(R2=0.7444,P<0.0001)and therapeutic response of ARN(R2=0.999,P<0.0001).Therefore,our AI algorithm has a potential application in the clinical aided diagnosis of ARN,evaluation of ARN severity,and treatment response monitoring. 展开更多
关键词 Acute retinal necrosis(ARN) Artificial intelligence(AI)algorithm Clinical application
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