IMPLICATIONS OF MACHINE LEARNING IN RENEWABLE ENERGY

Implications of Machine Learning in Renewable Energy

Artificial neural networks (ANN) are preferred over some other machine learning (ML) techniques due to their acupatch extension potential.The requirement for using ML approaches in the renewable energy market is expected to rise significantly in the upcoming decades due to the huge market for graduate institutions in research, mathematics, and tech

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Administrasi Publik, Pembangunan dan Kemajemukan Etnis

The appalling aftermath of massive riots in Indonesia during the crisis has, in a way, reflected the inability of public administration to be an intermediary between the state and the people in a multi-ethnic society.The lack of concern of public administration on the issues of muti-ethnicity is very obvious if one observe the limited number of art

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