Scopus Documents
Total : 7
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Peak Load Forecasting Based on Long Short Term Memory Authors : IWAN PAHENDRA ANTO SAPUTRA Citation : 5 Cover Date : 2019-10-01 Type Doc : Conference Proceeding Publication Name : Proceedings - 1st International Conference on Informatics, Multimedia, Cyber and Information System, ISSN : DOI : 10.1109/ICIMCIS48181.2019.8985197 |
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Electrical peak load forecasting using long short term memory and support vector machine Authors : IWAN PAHENDRA ANTO SAPUTRA Citation : 3 Cover Date : 2020-01-21 Type Doc : Conference Proceeding Publication Name : IOP Conference Series: Materials Science and Engineering ISSN : 17578981 DOI : 10.1088/1757-899X/725/1/012060 |
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Content-based direct access methods for face recognition biometric system: State of the art Authors : IWAN PAHENDRA ANTO SAPUTRA Citation : 0 Cover Date : 2015-01-01 Type Doc : Journal Publication Name : ARPN Journal of Engineering and Applied Sciences ISSN : DOI : |
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Hidden indexing based on syntactical approach for direct access method Authors : IWAN PAHENDRA ANTO SAPUTRA Citation : 0 Cover Date : 2015-01-01 Type Doc : Journal Publication Name : ARPN Journal of Engineering and Applied Sciences ISSN : DOI : |
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Machine Learning Approach for Electrical Load Forecasting Using Support Vector Regression Authors : IWAN PAHENDRA ANTO SAPUTRA Citation : 0 Cover Date : 2019-12-18 Type Doc : Conference Proceeding Publication Name : Journal of Physics: Conference Series ISSN : 17426588 DOI : 10.1088/1742-6596/1361/1/012065 |
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Machine Learning for Tubercolosis Classification Based on Treatment History Authors : IWAN PAHENDRA ANTO SAPUTRA Citation : 0 Cover Date : 2019-12-18 Type Doc : Conference Proceeding Publication Name : Journal of Physics: Conference Series ISSN : 17426588 DOI : 10.1088/1742-6596/1361/1/012064 |
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Classification of treatment tuberculosis history based on machine learning techniques Authors : IWAN PAHENDRA ANTO SAPUTRA Citation : 0 Cover Date : 2020-01-21 Type Doc : Conference Proceeding Publication Name : IOP Conference Series: Materials Science and Engineering ISSN : 17578981 DOI : 10.1088/1757-899X/725/1/012102 |