Analysis of magnetic-flux leakage (MFL) data for pipeline corrosion assessment X Peng, U Anyaoha, Z Liu, K Tsukada IEEE Transactions on Magnetics 56 (6), 1-15, 2020 | 105 | 2020 |
Soft computing in estimating the compressive strength for high-performance concrete via concrete composition appraisal U Anyaoha, A Zaji, Z Liu Construction and Building Materials 257, 119472, 2020 | 32 | 2020 |
Parameterizing magnetic flux leakage data for pipeline corrosion defect retrieval X Peng, C Zhang, U Anyaoha, K Siggers, Z Liu 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE …, 2019 | 7 | 2019 |
Concrete performance prediction using boosting smooth transition regression trees (BooST) U Anyaoha, X Peng, Z Liu Nondestructive Characterization and Monitoring of Advanced Materials …, 2019 | 2 | 2019 |
Magnetic flux leakage data analysis for oil and gas pipeline integrity management X Peng University of British Columbia, 2021 | | 2021 |
Applied computational analyses for concrete compressive strength performance assessment UE Anyaoha University of British Columbia, 2019 | | 2019 |
Contributions of the Weakness of Local Aggregates to the Failure of Buildings in Anambra State of Nigeria CA Chidolue, CH Aginam, U Anyaoha Contributions of the Weakness of Local Aggregates to the Failure 10 (12), 73-78, 2014 | | 2014 |