Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Erick Rodríguez-Esparza"'
Autor:
Hamail Ayaz, Erick Rodríguez-Esparza, Muhammad Ahmad, Diego Oliva, Marco Pérez-Cisneros, Ram Sarkar
Publikováno v:
Applied Sciences, Vol 11, Iss 14, p 6422 (2021)
Diseases in apple orchards (rot, scab, and blotch) worldwide cause a substantial loss in the agricultural industry. Traditional hand picking methods are subjective to human efforts. Conventional machine learning methods for apple disease classificati
Externí odkaz:
https://doaj.org/article/c6362b93e2d74fe0a4c4e47f94e212f2
Autor:
Noé Ortega-Sánchez, Ali Wagdy Mohamed, Rosaura Hernández-Montelongo, Erick Rodríguez-Esparza, Marco Pérez-Cisneros, Gaurav Dhiman, Diego Oliva
Publikováno v:
Soft Computing. 26:2587-2623
Identifying the defects in apples is commonly done with visual examination techniques. However, it is a slow and laborious process. Image processing techniques have begun to be used to help and make the diagnosis of fruit diseases more efficient. In
Autor:
Erick Rodríguez-Esparza, Marco Pérez-Cisneros, Ram Sarkar, Hamail Ayaz, Diego Oliva, Muhammad Ahmad
Publikováno v:
Applied Sciences
Volume 11
Issue 14
Applied Sciences, Vol 11, Iss 6422, p 6422 (2021)
Volume 11
Issue 14
Applied Sciences, Vol 11, Iss 6422, p 6422 (2021)
Diseases in apple orchards (rot, scab, and blotch) worldwide cause a substantial loss in the agricultural industry. Traditional hand picking methods are subjective to human efforts. Conventional machine learning methods for apple disease classificati
Autor:
Ricardo Lüders, Mohamed Abd Elaziz, Myriam Regattieri Delgado, Luiz Ledo, Erick Rodríguez-Esparza, Diego Oliva, Marco Peréz-Cisnero, Mohamed El Yafrani, Marcella Scoczynski
Publikováno v:
Scoczynski, M, Oliva, D, Rodríguez-Esparza, E, Delgado, M, Lüders, R, El Yafrani, M, Ledo, L, Elaziz, M A & Peréz-Cisnero, M 2021, A selection hyperheuristic guided by Thompson sampling for numerical optimization . in GECCO 2021 Companion-Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion . Association for Computing Machinery, GECCO 2021 Companion-Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pp. 1394-1402, 2021 Genetic and Evolutionary Computation Conference, GECCO 2021, Virtual, Online, France, 10/07/2021 . https://doi.org/10.1145/3449726.3463140
GECCO Companion
GECCO Companion
Selection hyper-heuristics have been increasingly and successfully applied to numerical and discrete optimization problems. This paper proposes HHTS, a hyper-heuristic (HH) based on the Thompson Sampling (TS) mechanism to select combinations of low-l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f681274fcbe0b69a1b1e068252f4cf0b
https://vbn.aau.dk/da/publications/7ef05955-18c1-415d-914f-8d4a2aa239f9
https://vbn.aau.dk/da/publications/7ef05955-18c1-415d-914f-8d4a2aa239f9
Autor:
Erick Rodriguez-Esparza, Oscar Ramos-Soto, Antonio D. Masegosa, Enrique Onieva, Diego Oliva, Ander Arriandiaga, Arka Ghosh
Publikováno v:
IEEE Access, Vol 12, Pp 29503-29524 (2024)
Due to rising consumer demand and traffic congestion, last-mile logistics is becoming more challenging. To optimize urban distribution networks, digital image processing plays a key role in addressing these challenges through efficient traffic monito
Externí odkaz:
https://doaj.org/article/6f1a688043b74ef388a2973c9b72934e
Publikováno v:
Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging.
In recent years, the segmentation and projection techniques of different structures of medical interest have had significant growth due to its usefulness; doctors have been using them as tools for the diagnosis and evolution of different diseases. Th
Autor:
Angel A. Juan, Daniel Zaldivar, Erick Rodríguez-Esparza, Jesus Murillo-Olmos, G. Trejo-Caballero, Marco Pérez-Cisneros, Erik Cuevas
Publikováno v:
Metaheuristics in Machine Learning: Theory and Applications ISBN: 9783030705411
Chest radiography is one of the most widely used imaging techniques for the detection and diagnosis of lung diseases. However, the correct extraction of information in these images is a tedious and challenging task that depends on the experience of r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43125197d077784213e82ad82f33bc47
https://doi.org/10.1007/978-3-030-70542-8_16
https://doi.org/10.1007/978-3-030-70542-8_16
Autor:
Marcella S. R. Martins, Erick Rodríguez-Esparza, Songfeng Lu, Ahmed A. Ewees, Salvador Hinojosa, Mohamed Abd Elaziz, Diego Oliva
Publikováno v:
CEC
The proper use of evolutionary operators is crucial to find optimal solutions in a search space. Moreover, the diversity of the population affects the performance of Evolutionary Algorithms (EAs). This article introduces an EA called BWEAD which bala
Publikováno v:
Medical Imaging 2020: Computer-Aided Diagnosis.
Breast cancer represents the most common type of cancer worldwide among women. One of the most important diagnostic methods of this disease are mammograms, however, the high prevalence of breast cancer has not been reduced due to the incorrect diagno
Autor:
Laura A. Zanella-Calzada, Erick Rodríguez-Esparza, Salvador Hinojosa, Diego Oliva, Marco Pérez-Cisneros
Publikováno v:
LA-CCI
Digital image processing implies a fundamental process in the field of medicine, since it supports the improvement of images facilitating their interpretation for the specialists. A technique that has had great relevance is image segmentation, applie