机译:使用微生物电位传感器信号和机器学习工具实时监测和预测水质参数和藻类浓度
The Polytechnic School Ira A. Fulton Schools of Engineering Arizona State University 7171 E. Sonoran Arroyo Mall Mesa AZ 85212 United States of America;
School of Computing Informatics and Decision Systems Engineering Ira A. Fulton Schools of Engineering Arizona State University 699 S. Mill Ave. Tempe AZ 85281 United States of America;
The Polytechnic School Ira A. Fulton Schools of Engineering Arizona State University 7171 E. Sonoran Arroyo Mall Mesa AZ 85212 United States of America;
VizLore Labs Brace Ribnikar 56 Novi Sad 403529 Serbia;
The Polytechnic School Ira A. Fulton Schools of Engineering Arizona State University 7171 E. Sonoran Arroyo Mall Mesa AZ 85212 United States of America;
School of Computing Informatics and Decision Systems Engineering Ira A. Fulton Schools of Engineering Arizona State University 699 S. Mill Ave. Tempe AZ 85281 United States of America;
Burge Environmental Inc. 6100 S. Maple Avenue Suite 114 Tempe AZ 85283 United States of America;
Burge Environmental Inc. 6100 S. Maple Avenue Suite 114 Tempe AZ 85283 United States of America;
Burge Environmental Inc. 6100 S. Maple Avenue Suite 114 Tempe AZ 85283 United States of America;
Microbial potentiometric sensor; Water quality; Algae; Machine learning; Monitoring; Artificial intelligence;
机译:基于两层分解方法和极限学习机的混合模型的设计与实现,以支持水质参数的实时环境监测
机译:遥感是监测欧盟水框架指令(WFD)地中海湖泊水质参数的工具,也是监测蓝藻有害藻华(SCyanoHAB)的系统
机译:使用机器学习方法,通过常规水质传感器实时检测饮用水回收水管的交叉连接事件
机译:电位传感器实时监测盐溶液中多价离子的浓度
机译:声音信号在机器学习技术中的刀具状态监测中的应用
机译:使用机器学习预测算法的实时车载空气质量监测系统
机译:采用机器学习工具实时预测泊松比钻参数的比例