Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Kwan Yong Sim"'
Publikováno v:
International Journal of Machine Learning and Computing. 10:416-422
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d50b5103dad80282f6df4691b3b2144
https://doi.org/10.18178/ijmlc.2020.10.3.951
https://doi.org/10.18178/ijmlc.2020.10.3.951
Publikováno v:
2022 the 6th International Conference on Innovation in Artificial Intelligence (ICIAI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bbf5e9c3f5e71df0f75c0f9ce35e73d
https://doi.org/10.1145/3529466.3529489
https://doi.org/10.1145/3529466.3529489
Publikováno v:
International Journal of Computational Intelligence Systems. 14
A common practice to capture the non-stationary characteristics of the time series data in Artificial Neural Network (ANN) is by randomly dividing the whole set of available data into training, validation and testing, i.e. the data in validation and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d892fb43bb8af3f0e1bc2c77caab5a52
https://doi.org/10.1007/s44196-021-00034-9
https://doi.org/10.1007/s44196-021-00034-9
Publikováno v:
Applied Mechanics and Materials. 892:106-113
Traditionally the chemical industry uses coal, minerals and petroleum as its basic raw materials, but palm oil and palm kernel oil are being increasingly used as economical raw materials especially for the production of oleochemicals. High magnitude
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8360c75e0ae2cce8d32b1da98d2145bf
https://doi.org/10.4028/www.scientific.net/amm.892.106
https://doi.org/10.4028/www.scientific.net/amm.892.106
Publikováno v:
Expert Systems with Applications. 202:117123
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b876fa80cce371dbba68762311c422b
https://doi.org/10.1016/j.eswa.2022.117123
https://doi.org/10.1016/j.eswa.2022.117123
Publikováno v:
International Journal of Business Intelligence and Data Mining. 1:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::013688bcd59a08ea868320760b273b77
https://doi.org/10.1504/ijbidm.2022.10041672
https://doi.org/10.1504/ijbidm.2022.10041672
Publikováno v:
International Journal of Computer Theory and Engineering. 9:334-338
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c08b3776684e280aba2f9221b3a3d171
https://doi.org/10.7763/ijcte.2017.v9.1162
https://doi.org/10.7763/ijcte.2017.v9.1162
Publikováno v:
CSAI/ICIMT
Mining of scalable patterns hidden in financial time series is a challenging pattern recognition task in nature. Patterns of price movements in financial time series are highly scalable and highly dimensional, making pattern recognition in time serie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3548b321b8fc0c731b9efdab469b331
https://doi.org/10.1145/3297156.3297235
https://doi.org/10.1145/3297156.3297235
Publikováno v:
Contemporary Engineering Sciences. 7:677-682
Spectrum-based Fault Localization (SBFL) has been widely studied as a debugging technique to reduce time and effort in locating faulty code in software. In SBFL, execution profiles (spectra) of pass and fail test cases are analyzed with SBFL metric t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5143b7a0e49fcde16aff0fcb1dca9911
https://doi.org/10.12988/ces.2014.4674
https://doi.org/10.12988/ces.2014.4674