机译:火灾中电子熔痕类型识别的判断模型
School of Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, China,Guangdong Provincial Key Laboratory of Fire Science and Technology, Guangzhou, Guangdong, China;
School of Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, China,Guangdong Provincial Key Laboratory of Fire Science and Technology, Guangzhou, Guangdong, China;
School of Engineering, Sun Yat-Sen University, Guangzhou, Guangdong, China,Guangdong Provincial Key Laboratory of Fire Science and Technology, Guangzhou 510006, Guangdong, China;
Fire investigation; molten mark; metallographic image; support vector machine (SVM); genetic algorithm (GA); particle swarm optimization (PSO);
机译:查明住宅电路中某些类型的电引发火灾的原因
机译:引起火灾的铜线熔化痕迹的显微组织研究
机译:引起火灾的铜线熔化痕迹的显微组织研究
机译:基于生成模型的半监督学习优化,以识别低压电负载的类型
机译:核辐射对熔盐和P型硫化铜热电性能的影响
机译:电重构可维持缺乏KCND2编码的A型K +电流的皮质锥体神经元的放电特性
机译:电重构可维持缺乏KCND2编码的A型K +电流的皮质锥体神经元的放电特性