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Characterization of Induced Polarization Parameters from Electromagnetic Data using Evolutionary Approach |
Mohamed Elkattan, Aladin Kamel |
J. Electromagn. Eng. Sci. 2023;23(4):303-309. Published online June 19, 2023 DOI: https://doi.org/10.26866/jees.2023.4.r.171 |
Characterization of Induced Polarization Parameters from Electromagnetic Data using Evolutionary Approach Estimating the spatiotemporal distribution of geochemical parameters associated with biostimulation using spectral induced polarization data and hierarchical Bayesian models A Method to Remove Electromagnetic Coupling from Induced Polarization Data for an “Exponential” Earth Model Multifrequency electromagnetic data interpretation using particle swarm optimization and ant colony optimization methods Multifrequency electromagnetic data interpretation using stochastic Markov-chain Monte Carlo and simulated annealing methods Unified deterministic inversion of multifrequency electromagnetic measurements using relaxation models Determination of ORR Parameters from Fuel Cell Polarization Data Using Modified Simulated Annealing and Genetic Algorithms Determination of ORR Parameters from Fuel Cell Polarization Data Using Modified Simulated Annealing and Genetic Algorithms Accurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm Three-Dimensional Inversion of Induced Polarization Effects in Airborne Time Domain Electromagnetic Data Using the GEMTIP Model |