Abstract: This paper investigates the changes in the dissemination trends of Tang poetry before and after the COVID-19 pandemic, employing the ARIMA model for time series forecasting due to the ...

Large Language Models (LLMs) are recasting the relationship between humans & technology. There’s a complete transition in how we search, consume, and execute information on the web. LLMs are no longer ...

Abstract: Electricity price forecasting is important because it can prompt market participants to trade electricity more effectively and optimize resource allocation. The purpose of this paper is to ...

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 ...

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 ...

In today’s competitive business landscape, entrepreneurs face the challenge of attracting and retaining customers while ensuring sustainable profitability. One of the most effective strategies to ...

ABSTRACT: Time series forecasting is essential for generating predictive insights across various domains, including healthcare, finance, and energy. This study focuses on forecasting patient health ...