Electromagnetic Induction From Highly Permeable and Conductive Ellipsoids Under Arbitrary Excitation: Application to the Detection of Unexploded Ordnances. - Benjamin E. Barrowes; Kevin O'Neill; Tomasz M. Grzegorczyk; Beijia Zhang; Jin Au Kong (IEEE Trans. Geosci. Remote. Sens., 2008)

Support Vector Machine and Neural Network Classification of Metallic Objects Using Coefficients of the Spheroidal MQS Response Modes. - Beijia Zhang; Kevin O'Neill; Jin Au Kong; Tomasz M. Grzegorczyk (IEEE Trans. Geosci. Remote. Sens., 2008)

Classification, identification, and modeling of unexploded ordnance in realistic environments. - Beijia Zhang (2008)

Optimized SVD Approach for the Detection of Weak Subsurface Targets From Ground-Penetrating Radar Data. - Tomasz M. Grzegorczyk; Beijia Zhang; Matthew T. Cornick (IEEE Trans. Geosci. Remote. Sens., 2013)

Localizing Ground Penetrating RADAR: A Step Toward Robust Autonomous Ground Vehicle Localization. - Matthew T. Cornick; Jeffrey Koechling; Byron Stanley; Beijia Zhang (J. Field Robotics, 2016)

Two Stage Prediction Model of Sunspots Monthly Value Based on CEEMDAN and Particle Swarm Optimization ELM. - Beijia Zhang; Lin Sun; Wenbo Wang 014 (IEEE Access, 2022)

A novel dynamic grey multivariate prediction model for multiple cumulative time-delay shock effects and its application in energy emission forecasting. - Xuemei Li; Beijia Zhang; Yufeng Zhao; Yi Zhang; Shiwei Zhou (Expert Syst. Appl., 2024)

A material point-based simulation method for soft robots with free boundary interactions. - Siwei He; Jie Shen; Beijia Zhang; Faizan Ahmad; Hao Deng 005; Xiaohui Li; Jing Xiong; Zeyang Xia (Robotica, 2025)