Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

The platform that makes advanced data science accessible with Graph Neural Networks and Predictive Query Language.

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs ...

Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...

Abstract: Uncrewed aerial vehicles (UAVs) are susceptible to malfunctions caused by environmental and human factors. Anomaly detection is a critical technique for ensuring the safe operation of UAVs.

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...

Abstract: This paper develops several new dynamical designs, based on the gradient neural network (GNN), from the perspective of control theory to solve the time-varying Sylvester equation (TVSE). We ...

This repository provides a complete workflow for rapid State of Health (SOH) estimation of lithium-ion batteries using Electrochemical Impedance Spectroscopy (EIS) and neural network models. The code ...