EXP-LA: Collaborative Research: Optimized Multi-algorithm Systems for Detecting Explosive Objects Using Robust Clustering and Choquet Integration

EXP-LA：EXP-LA：协作研究：EXP-LA：优化的多算法系统，用于使用稳健的集群和Choket集成检测爆炸性物体。PI名称：Hicem Frigui机构：路易斯维尔大学研究基金会公司。建议编号：0730802该项目将开发多算法系统，从通过探地雷达等检测工具获得的传感器数据检测爆炸性物体。背景分析将被用作探测地雷的前兆。PI已经有了算法和测试数据，并将在之前的工作基础上进行改进。他们还将进行实验，以确定他们之前的工作是否适用于设想的情况。

EXP-LA: EXP-LA: Collaborative Research: EXP-LA: Optimized Multi-algorithm Systems for Detecting Explosive Objects Using Robust Clustering and Choquet Integration.PI name: Hichem FriguiInstitution: University of Louisville Research Foundation Inc.Proposal Number: 0730802This project will develop multi-algorithm systems that detect explosive objects from sensor data obtained through detecting tools such as ground penetrating radars. Analysis of context will be used as a precursor to detection of landmines. The PIs already have algorithms and test data, and will build on this previous work. They also will perform experiments to determine if their previous work applies in the situations envisioned.