Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Banchar Arnonkijpanich"'
Publikováno v:
Geoscience Letters, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract In this research, we explore the application of artificial neural networks, specifically the vector-quantized temporal associative memory (VQTAM) and VQTAM coupled with locally linear embedding (VQTAM-LLE) techniques, for simulating 2-D magn
Externí odkaz:
https://doaj.org/article/f922756ae05f495fade39a1f8fa9ae74
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Principal component analysis or PCA has been traditionally used as one of the feature extraction techniques in face recognition systems yielding high accuracy when requiring a small number of features. However, the covariance matrix and eigenvalue de
Externí odkaz:
https://doaj.org/article/2ee325a38bc645fcb3acea638e89949f
Publikováno v:
2022 7th International Conference on Frontiers of Signal Processing (ICFSP).
Publikováno v:
Neural Computing and Applications. 31:619-635
In this study, we propose an alternative technique for solving the forward kinematic problem of parallel manipulator which is designed based on generalized Stewart platform. The focus of this work is to predict a pose vector of a moving plate from a
Publikováno v:
Computers and Electronics in Agriculture. 115:26-33
We develop a machine vision-based method to estimate the live weight of pigs.The proposed approach provides circumstance-free image processing.It is practical to apply on farms without interrupting the routine life of pigs. In this study, an estimati
Publikováno v:
Journal of Intelligent Manufacturing. 28:219-228
In animal feed pellets, the fat content is obtained either from the feed ingredients or is directly added during processing. Additional fat is required when the fat level in the feed ingredients is less than the desired level. This fat can be added e
Hybrid Balancing Technique Using GRSOM and Bootstrap Algorithms for Classifiers with Imbalanced Data
Publikováno v:
Advanced Materials Research. :1375-1381
To deal with imbalanced data, this paper proposes a hybrid data balancing technique which incorporates both over and under-sampling approaches. This technique determines how much minority data should be grown as well as how much majority data should
Publikováno v:
International Journal of Engineering and Technology. :45-49
Integrating new data balancing technique with committee networks for imbalanced data: GRSOM approach
To deal with imbalanced data in a classification problem, this paper proposes a data balancing technique to be used in conjunction with a committee network. The proposed data balancing technique is based on the concept of the growing ring self-organi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7e59820f5b225dbea0e1b89e2db802e
https://europepmc.org/articles/PMC4635392/
https://europepmc.org/articles/PMC4635392/
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
The Scientific World Journal
The Scientific World Journal
Principal component analysis or PCA has been traditionally used as one of the feature extraction techniques in face recognition systems yielding high accuracy when requiring a small number of features. However, the covariance matrix and eigenvalue de