The expanding availability of high-resolution 3D point clouds from lidar and photogrammetry has fostered interest in digital twin forests ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...

Abstract: Indoor positioning systems (IPS) play a vital role in applications such as navigation and asset tracking. This study presents a comprehensive evaluation of machine learning algorithms on a ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Abstract: This study investigates the use of natural language processing language representation models as an early warning system for economic crises, and compares the performance of time series ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Discover the future of forestry with our in-depth look at a revolutionary tree trimming machine designed for efficient and precise tree delimbing. This state-of-the-art automated tree trimming system ...

Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...

Objectives: To develop and validate machine learning models to predict levodopa responsiveness of tremor in Parkinson’s disease (PD) patients. Methods: A total of 197 PD tremor patients underwent ...