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 Course a pied - Femme - Vetements - Short - 5-6" enact a significant role in protecting public health and the environment.The main objective of this paper is to explore the utility of using state-of-the-art machine learning and deep learning-based models for predicting future variations in MSW generation for a

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Efficient Methods for Parameter Estimation of Ordinary and Partial Differential Equation Models of Viral Hepatitis Kinetics

Parameter estimation in mathematical models that are based on differential equations is known to be of fundamental importance.For sophisticated models such as age-structured models that simulate biological agents, parameter estimation that addresses all cases of data points available presents a formidable challenge and efficiency considerations nee

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LAD: Layer-Wise Adaptive Distillation for BERT Model Compression

Recent advances with large-scale pre-trained language models (e.g., BERT) have brought significant potential to natural language processing.However, the large model size hinders their use in IoT and edge devices.Several studies have utilized task-specific knowledge distillation to compress the pre-trained language models.However, to reduce the numb

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