ABSTRACT: Accurate energy load prediction is crucial for optimizing energy management in smart grid systems. This study evaluates the performance of four machine learning models, which are random ...
Here's how to create a Python module for AI-related functionality. This example will include basic machine learning and NLP capabilities. from .ml import train_model, predict from .nlp import ...
Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...
This repository contains a Python-based project for real-time healthcare monitoring, focusing on forecasting patient heart rates using the ARIMA (AutoRegressive Integrated Moving Average) model. The ...
Zachary del Rosario receives funding from the National Science Foundation and Toyota Research Institute. Nicknamed “Galloping Gertie” for its tendency to bend and undulate, the Tacoma Narrows Bridge ...
ABSTRACT: This paper presents a comparative study of ARIMA and Neural Network AutoRegressive (NNAR) models for time series forecasting. The study focuses on simulated data generated using ARIMA(1, 1, ...
Abstract: The COVID-19 pandemic had a significant effect on worldwide financial markets, resulting in unparalleled instability and unpredictability. This study demonstrates the use of the ...
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