Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to ...

A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...

A comparative analysis of algorithms identified Random Forest as the most effective ... As HICC's G&C programming continues to expand, the need for a scalable, data-driven forecasting solution has ...

This project employs the Random Forest algorithm to predict Bitcoin prices, utilising five years of comprehensive Bitcoin market data. It focuses on various market aspects such as volatility, market ...

However, as the data are being generated explosively in this big data era, many machine learning algorithms, including the random forest algorithm, may face the difficulty in maintaining and ...

Abstract: This paper presents an unsupervised clustering random ... proposed forest-based metric efficiently estimates affinity by passing down data pairs in the forest using a limited number of ...

In this study, a Random Forest (RF)-based algorithm was developed to downscale GRACE TWS data from a 100 km to a 1 km resolution, incorporating multiple remote sensing variables to enhance spatial ...

Manipur lost a staggering 52,000 acres of forest area in just four years between 2021 and 2025, a study by space analytics firm Suhora said. Using high-resolution satellite data and advanced ...

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource, and the refrain has been repeated ever since. Organizations across every industry have ...