机译:具有声学指标和机器学习的新型青蛙合作识别方法
Queensland University of Technology Queensland Australia;
Queensland University of Technology Queensland Australia;
Queensland University of Technology Queensland Australia;
Queensland University of Technology Queensland Australia;
School of Biological Sciences Centre for Biodiversity and Conservation Science The University of Queensland Brisbane Queensland 4072 Australia;
School of Biological Sciences Centre for Biodiversity and Conservation Science The University of Queensland Brisbane Queensland 4072 Australia Department of Zoology University of Johannesburg Johannesburg South Africa;
Queensland University of Technology Queensland Australia;
Queensland University of Technology Queensland Australia;
Ecoacoustics; Species recognition; Acoustic indices; Machine learning; Frog chorus recognition;
机译:评估北方合唱青蛙(Pseudacris maculata)的声信号变异性以及进行性别选择和社会识别的潜力
机译:鸟类比较研究:与呼叫类型无关的物种和使用四种机器学习方法和两种声学特征的个体识别
机译:基于增强功能和机器学习算法的澳大利亚青蛙的声学分类
机译:使用机器学习方法预测公共采购损坏指标
机译:多变量时间序列模式识别使用机器学习和深度学习方法
机译:深度学习和常规机器学习方法从超声图像中自动识别肝细胞癌区域的比较
机译:发音声学特征识别:机器学习和HMM方法的比较