UN-SPIDER has released a new Recommended Practice that improves flood mapping by integrating Synthetic Aperture Radar (SAR) ...

The city of St. Petersburg has accelerated its flood infrastructure projects ... aggressive action to accelerate these projects based on our updated data and our experience with our current ...

The Trump administration significantly cut funding for flood prevention projects in blue states across ... according to a data analysis prepared by Democratic staffers. California and the state ...

This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data" by Ankur A. Patel. Many ...

this innovative project leverages drone and satellite data to aid real-time flood preparedness and disaster management. At the core of the initiative is a Web-GIS platform that integrates drone-based ...

The Fake News Detector is a Python application that utilizes the Google Gemini API to classify news articles as real or fake. The application provides explanations for its classification results and ...

The lawsuit, filed in October on behalf of an unnamed resident, challenged approvals for a flood protection project by the Historic Preservation Commission in the downtown historic district.

Abstract: Traffic flow Forecasting is essential in intelligent transportation systems. Although graph neural networks perform well with non-Euclidean traffic data, they exhibit limits in accurately ...

The project will have operating cash flow of about $160 million when it starts up in mid-2026. (Source: Occidental Petroleum) “For 2027, you get the benefit of the full $600 million capex reduction ...