Abstract: This paper proposes a cargo volume forecasting method based on the ARIMA-LSTM hybrid model, aiming to improve the accuracy and reliability of predictions. We collected historical data from ...

Abstract: This paper presents a hybrid ARIMA-LSTM approach to predict stock prices in the Indonesian market and compares its performance to the standalone ARIMA model. The study focuses on six ...

Time series forecasting is a critical tool in financial markets for predicting stock prices, enabling informed decision-making. The provided Jupyter notebook demonstrates an ARIMA model for ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

This paper explores the integration of Artificial Intelligence (AI) large language models to empower the Python programming course for junior undergraduate students in the electronic information ...

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 ...

Written by Ken Huang, CSA Fellow, Co-Chair of CSA AI Safety Working Groups and Dr. Ying-Jung Chen, Georgia Institute of Technology. This implementation guide provides a comprehensive, hands-on ...

ABSTRACT: The application of artificial intelligence in stock price forecasting is an important area of research at the intersection of finance and computer science, with machine learning techniques ...

In this tutorial, we will discover how to harness the power of an advanced AI Agent, augmented with both Python execution and result-validation capabilities, to tackle complex computational tasks. By ...

Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...