Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...

Objectives To project the future burden of cancer mortality in India by forecasting age-standardised mortality rates (ASMRs) for 23 major cancer types up to the year 2030, providing crucial evidence ...

Abstract: Forecasting stock prices and volatility plays a crucial role in making better investment decisions. Recently, there has been a growing interest in studying ...

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 ...

College of Engineering and IT, University of Dubai, Dubai, United Arab Emirates Climate change has significantly impacted vulnerable communities globally, with rising temperatures caused by greenhouse ...

† For urbanization, AAMR 1999-2020. *P-value <0.05. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not include a full text component.

Meta AI has released Llama Prompt Ops, a Python package designed to streamline the process of adapting prompts for Llama models. This open-source tool is built to help developers and researchers ...

Developers can now use Pydantic's mcp-run-python server, distributed via JSR, to allow AI agents to execute Python code with automatic dependency handling in isolation. It addresses a frequent ...