Genetic Programming Bibliography entries for Mike Louie Enriquez
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
GP coauthors/coeditors:
Joseph Aristotle R De Leon,
Ronnie S Concepcion II,
Ira Valenzuela,
Ryan Rhay P Vicerra,
Homer Co,
Argel A Bandala,
Elmer Jose P Dadios,
Jonah Jahara Garcia Baun,
Adrian Genevie Galema Janairo,
Kate Francisco,
R-Jay Relano,
Jonathan Dungca,
Llewelyn Espiritu,
Andres Philip Mayol,
Melchizedek Alipio,
Genetic Programming conference papers by Mike Louie Enriquez
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Ronnie Concepcion and R-Jay Relano and Kate Francisco and Jonah Jahara Baun and Adrian Genevie Janairo and Joseph Aristotle De Leon and Llewelyn Espiritu and Andres Philip Mayol and Mike Louie Enriquez and Ryan Rhay Vicerra and Argel Bandala.
Optimizing Low Power Near L-band Capacitive Resistive Antenna Design for in Silico Plant Root Tomography Based on Genetic Big Bang-Big Crunch. In
2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM), 2023.
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Jonah Jahara Baun and Adrian Genevie Janairo and Ronnie Concepcion and Kate Francisco and Mike Louie Enriquez and R-Jay Relano and Joseph Aristotle de Leon and Argel Bandala and Ryan Rhay Vicerra and Jonathan Dungca.
Hybrid Stochastic Genetic Evolution-Based Prediction Model of Received Input Voltage for Underground Imaging Applications. In
2023 8th International Conference on Business and Industrial Research (ICBIR), pages 549-555, 2023.
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Adrian Genevie Janairo and Jonah Jahara Baun and Ronnie Concepcion and R-Jay Relano and Kate Francisco and Mike Louie Enriquez and Argel Bandala and Ryan Rhay Vicerra and Melchizedek Alipio and Elmer P. Dadios.
Optimization of Subsurface Imaging Antenna Capacitance through Geometry Modeling using Archimedes, Lichtenberg and Henry Gas Solubility Metaheuristics. In
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2022.
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Joseph Aristotle De Leon and Mike Louie Enriquez and Ronnie Concepcion and Ira Valenzuela and Ryan Rhay Vicerra and Homer Co and Argel Bandala and Elmer Dadios.
Vertical Electrical Sounding Inversion Models Trained from Dataset using Synthetic Data and Genetic Programming. In
2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), 2022.
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