DEEP LEARNING NEURAL NETWORKS TRAINED WITH MODIS SATELLITE-DERIVED PREDICTORS FOR LONG-TERM GLOBAL SOLAR RADIATION PREDICTION

Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction

Solar energy predictive models designed to emulate the long-term (e.g., monthly) REFRIED PINTO BEANS global solar radiation (GSR) trained with satellite-derived predictors can be employed as decision tenets in the exploration, installation and management of solar energy production systems in remote and inaccessible solar-powered sites.In spite of a

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GasBotty: Multi-Metric Extraction in the Wild

The lived environment, particularly when proximal Left Cover to roadways, is filled with multi-digit and multi-numbered values corresponding to advertised commodities.The reliable detection of single multi-digit values from natural imagery has been widely studied through the last decade (e.g.Street View House Numbers [SVHN]); however, extraction an

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Government Responsibility for Troubled Land Rights Lawsuit

Land registration in Indonesia adheres to a mixed system, a negative system with a positive tendency, meaning that the state does not guarantee the absolute truth of the data presented in the certificate, but as long as no one else filed a lawsuit in court who felt more entitled, so the data in the certificate was proof of strong rights.This resear

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