IEEE

Anomaly Detection Workflow Using Random Forest Regressor in Large-Scale Photovoltaic Power Plants

Abstract: In large-scale photovoltaic (PV) plants, anomalies can affect performance, and maintenance schedules, and compromise long-term reliability, reducing the financial returns from the PV plant.

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
IEEE

Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model

Abstract: Forest fires are one of the most common natural disasters and public crisis events, presenting a serious threat to the ecosystem and human security. The traditional forest fire monitoring is ...
GitHub

NTSB Aviation Accident Database Analysis

Aviation safety has transformed dramatically over the past six decades, yet comprehensive analysis of historical accident data remains fragmented across disparate systems and formats. The NTSB ...
GitHub

0xTchomo/pe-rawbytes-malware-classification_ML

This project implements a state-of-the-art malware detection system for Windows PE (Portable Executable) files using multiple complementary approaches: ...