Machine Learning-Based Localization Accuracy of RFID Sensor Networks via RSSI Decision Trees and CAD Modeling for Defense Applications
机构 * College of Computer Science, Engineering, and Technology（计算机科学、工程与技术学院） ； Valdosta State University（瓦尔多斯塔州立大学） ； Colorado Technical University（科罗拉多技术大学）
专题命中 机器人多传感器融合 ：sensor fusion(abstract)
Comments 10 pages, 5 figures. Submitted to the Journal of Defense Modeling and Simulation (JDMS) for the Special Issue Integrating AI/ML Into Modeling and Simulation (J22-4). This work evaluates machine learning-based RFID localization for defense logistics environments using CAD-modeled simulations and RSSI-driven decision tree classification
