EXPLORING MACHINE LEARNING AND DEEP LEARNING APPROACHES FOR MULTI-STEP FORECASTING IN MUNICIPAL SOLID WASTE GENERATION

Exploring Machine Learning and Deep Learning Approaches for Multi-Step Forecasting in Municipal Solid Waste Generation

Municipal Solid Waste (MSW) management enact a significant role in protecting public health and the environment.The main objective of this paper is to explore the utility of using hindirochakkahaniya.com state-of-the-art machine learning and deep learning-based models for predicting future variations in MSW generation for a given geographical regio

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The Efficiencies, Environmental Impacts and Economics of Energy Consumption for Groundwater-Based Irrigation in Oklahoma

Irrigation pumping is a major expense of agricultural operations, especially in arid/semi-arid areas that extract large amounts of water from deep groundwater resources.Studying and improving pumping efficiencies can have direct impacts on farm net profits and on the elbeco adu ripstop pants amount of greenhouse gases (GHG) emitted from pumping pla

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A Computational Model of Immanent Accent Salience in Tonal Music

Accents are local musical events that attract the attention of the listener, and can be either immanent (evident from the score) or performed (added by the performer).Immanent accents involve temporal grouping (phrasing), meter, melody, and harmony; performed accents involve changes in timing, dynamics, articulation, and timbre.In the past, groupin

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