Algorithm-based strategy shows promise in reducing urban poverty

When the COVID-19 pandemic hit, aid organizations worldwide struggled to identify vulnerable households quickly and fairly. Many people who needed help were left behind.
IEEE

A Log Parsing Algorithm with Source Code

Abstract: Most existing log parsing algorithms are unable to fully accurately parse logs. This is because these algorithms typically assume that the original log text satisfies features and find the ...
IEEE

Multiobjective Model Predictive Control of LCL Grid-Connected Inverter Based on an Improved Gray Wolf Algorithm

Abstract: To address the challenges of high-current harmonic distortion, excessive switching losses, and less desirable dynamic response in the single-phase LCL grid-connected inverter, this article ...
Frontiers

Machine learning algorithms for individualized prediction of prognosis in breast cancer liver metastases and the prognostic impact of primary tumor surgery: a multicenter study

Background: The prognosis of patients with breast cancer liver metastasis (BCLM) is generally poor, and there are no specific treatment guidelines. Accurate prognostic tools are needed to estimate ...
Frontiers

Spatiotemporal prediction of soil moisture content at various depths in three soil types using machine learning algorithms

Introduction: Accurate prediction of soil moisture content (SMC) is crucial for agricultural systems as it affects hydrological cycles, crop growth, and resource management. Considering the challenges ...