The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers.

Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...

About This Repository A curated resource hub for learning machine learning, featuring tutorials, code examples, datasets, and hands-on projects to build foundational skills and explore real-world ...

Abstract: The present study developed an adaptive staff scheduling framework integrating demand time series prediction and operational optimization in sorting centers. A hybrid SARIMA (Seasonal ...

In a new comparative analysis of artificial intelligence applications in retail, researchers have revealed that advanced deep learning models can dramatically enhance the accuracy of demand ...

Implementation for "SE(3) diffusion model with application to protein backbone generation" arxiv link. While our work is tailored towards protein backbone generation, it is in principle applicable to ...

In this tutorial, we explore the Advanced Model Context Protocol (MCP) and demonstrate how to use it to address one of the most unique challenges in modern AI systems: enabling real-time interaction ...