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pro vyhledávání: '"Hishamuddin Hashim"'
Autor:
Mohd Ridzuan Ahmad, Hishamuddin Hashim
Publikováno v:
ELEKTRIKA- Journal of Electrical Engineering. 20:37-42
Electricity monitoring systems have long been used in industrial scenarios such as process scheduling and distribution. This monitoring system needs to be developed for domestic use such as in homes and shops. In recent times, the electricity demand
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 7:272-278
This result-based paper presents the best results of both fitted BPNN-NAR and BPNN-NARMA on MCCI Aggregate dataset with respect to different error measures. This section discusses on the results in terms of the performance of the fitted forecasting m
Publikováno v:
International Journal of Engineering & Technology. 7:11
This result-based paper discusses on the best aftereffects of both fitted BPNN-NAR and BPNN-NARMA on MCCI Sand dataset regarding distinctive error measures. This exploration examine the outcomes as far as the execution of the fitted forecasting model
Autor:
Ismail Musirin, Saadi Bin Ahmad Kamaruddin, Nor Azura Md Ghani, Hishamuddin Hashim, Norazan Mohamed Ramli
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 8:779
There is doubtlessly manufactured artificial neural system (ANN) is a standout amongst the most acclaimed all-inclusive approximators, and has been executed in numerous fields. This is because of its capacity to naturally take in any example with no
Autor:
Ismail Musirin, Saadi Bin Ahmad Kamaruddin, Nor Azura Md Ghani, Hishamuddin Hashim, Norazan Mohammed Ramli
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 8:101
Neurocomputing is widely implemented in time series area, however the nearness of exceptions that for the most part happen in information time arrangement might be hurtful to the information organize preparing. This is on the grounds that the capacit
The Application of Modified Least Trimmed Squares with Genetic Algorithms Method in Face Recognition
Autor:
Hishamuddin Hashim, Nur Azimah Abdul Rahim, Ismail Musirin, Nor Azura Md Ghani, Norazan Mohamed
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 8:154
Severely occluded face images are the main problem in low performance of face recognition algorithms. In this paper, we apply a new algorithm, a modified version of the least trimmed squares (LTS) with a genetic algorithms introduce by [1]. We focuse