Beijia Zhang - researchr alias

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Viewing Publication 1 - 7 from 7

2024

A novel dynamic grey multivariate prediction model for multiple cumulative time-delay shock effects and its application in energy emission forecastingXuemei Li, Beijia Zhang, Yufeng Zhao, Yi Zhang, Shiwei Zhou. eswa, 251:124081, 2024. [doi]

2022

Two Stage Prediction Model of Sunspots Monthly Value Based on CEEMDAN and Particle Swarm Optimization ELMBeijia Zhang, Lin Sun, Wenbo Wang. access, 10:102981-102991, 2022. [doi]

2016

Localizing Ground Penetrating RADAR: A Step Toward Robust Autonomous Ground Vehicle LocalizationMatthew T. Cornick, Jeffrey Koechling, Byron Stanley, Beijia Zhang. jfr, 33(1):82-102, 2016. [doi]

2013

Optimized SVD Approach for the Detection of Weak Subsurface Targets From Ground-Penetrating Radar DataTomasz M. Grzegorczyk, Beijia Zhang, Matthew T. Cornick. tgrs, 51(3-2):1635-1642, 2013. [doi]

2008

Electromagnetic Induction From Highly Permeable and Conductive Ellipsoids Under Arbitrary Excitation: Application to the Detection of Unexploded OrdnancesBenjamin E. Barrowes, Kevin O'Neill, Tomasz M. Grzegorczyk, Beijia Zhang, Jin-Au Kong. tgrs, 46(4):1164-1176, 2008. [doi]

Support Vector Machine and Neural Network Classification of Metallic Objects Using Coefficients of the Spheroidal MQS Response ModesBeijia Zhang, Kevin O'Neill, Jin-Au Kong, Tomasz M. Grzegorczyk. tgrs, 46(1):159-171, 2008. [doi]

Classification, identification, and modeling of unexploded ordnance in realistic environmentsBeijia Zhang. PhD thesis, Massachusetts Institute of Technology, Cambridge, MA, USA, 2008. [doi]

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