COASTAL SOLID WASTE PREDICTION BY APPLYING MACHINE LEARNING APPROACHES (CASE STUDY: NOOR, MAZANDARAN PROVINCE, IRAN)

Coastal solid waste prediction by applying machine learning approaches (Case study: Noor, Mazandaran Province, Iran)

Nowadays, intelligent systems are used as innovative tools in different environmental issues.However, the prediction of short-term waste, unlike the long-term scale, is less developed due to more uncertainties and the difficulty in determining measurable independent parameters.In this study, two types of artificial neural networks (MLP and RBF) and

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The key spatial elements and high-density development of urban peninsula: A discussion on the relationship between core and cape

Urban peninsulas are an important category with distinctive geographical characteristics in the history of human settlements.Despite their time-honored development, abundant cultural accumulation, and developed water transportation, a considerable number of world-famous urban peninsulas demonstrate a remarkable feature of high-density development b

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