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Analyzing images in frequency domain to estimate the quality of wood particles in OSB production.

, , , , , и . CIVEMSA, стр. 1-6. IEEE, (2016)

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Enrique Muñoz Pérez

Julio Enrique Fuentes Muñoz

Luis Enrique Muñoz Becerra

Manuel Muñoz-Expósito

Pedro Pablo Muñoz Pradas

 

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Online Advertising and the CPA Model: Challenges and Opportunities, , и . International Journal of Engineering and Management Research, 4 (3): 324--334 (2014)Enhancing fingerprint biometrics in Automated Border Control with adaptive cohorts., , , , , , и . SSCI, стр. 1-8. IEEE, (2016)Biometric Recognition in Automated Border Control: A Survey., , , , , и . ACM Comput. Surv., 49 (2): 24:1-24:39 (2016)Advanced Biometric Technologies: Emerging Scenarios and Research Trends., , , и . From Database to Cyber Security, том 11170 из Lecture Notes in Computer Science, стр. 324-352. Springer, (2018)Towards touchless pore fingerprint biometrics: A neural approach., , , , и . CEC, стр. 4265-4272. IEEE, (2016)Automatic Classification of Acquisition Problems Affecting Fingerprint Images in Automated Border Controls., , , , , и . SSCI, стр. 354-361. IEEE, (2015)Automated Border Control Systems: Biometric Challenges and Research Trends., , , , , и . ICISS, том 9478 из Lecture Notes in Computer Science, стр. 11-20. Springer, (2015)Improving OSB wood panel production by vision-based systems for granulometric estimation., , , , , и . RTSI, стр. 557-562. IEEE, (2015)OFP_CLASS: An Algorithm to Generate Optimized Fuzzy Partitions to Classification., , , и . IJCCI (ICFC-ICNC), стр. 5-13. SciTePress, (2010)Age estimation based on face images and pre-trained convolutional neural networks., , , , , и . SSCI, стр. 1-7. IEEE, (2017)