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 extension potential.The requirement for using ML Lawn Mower 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 te

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Challenges in the approach to a patient with aortic stenosis and cardiac amyloidosis with ATTR mutation associated with negative scintigraphy - A case report

Introduction: Cardiac amyloidosis (CA) poses significant diagnostic and therapeutic challenges.In this case report, we detail a patient with CA due to a rare transthyretin (CA-TTR) mutation, manifesting with negative myocardial scintigraphy and requiring genetic testing for diagnosis.The HAIR-FORCE patient also had severe aortic stenosis (AS), nece

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