LONG-TERM ENERGY DEMAND IN MALAYSIA AS A FUNCTION OF ENERGY SUPPLY: A COMPARATIVE ANALYSIS OF NON-LINEAR AUTOREGRESSIVE EXOGENOUS NEURAL NETWORKS AND MULTIPLE NON-LINEAR REGRESSION MODELS

Long-term energy demand in Malaysia as a function of energy supply: A comparative analysis of Non-Linear Autoregressive Exogenous Neural Networks and Multiple Non-Linear Regression Models

Energy modeling and forecasting are key to providing insightful energy-related policy decisions that could propel positive economic growth and sustainable development.In this study, the Non-Linear Autoregressive Exogenous Neural Networks (NARX) and Multiple Non-Linear Regression (MNLR) models were employed for modeling the final energy demand per c

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Assessment of the risk and characterization of non-melanoma skin cancer in Kindler syndrome: study of a series of 91 patients

Abstract Background Kindler Syndrome (KS) is a rare genodermatosis characterized by skin fragility, skin atrophy, premature aging and poikiloderma.It is caused by mutations in the FERMT1 gene, which encodes kindlin-1, a protein involved in integrin signalling and the formation of focal adhesions.Several reports have shown the presence of Ring Light

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