Satellites are transforming biodiversity monitoring for global nature targets, but major gaps remain

A new scientific review outlines how satellites and other remote sensing technologies are increasingly shaping how ...
AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
IEEE

Analysis of Feature Selection Methods in Software Defect Prediction Models

Abstract: Improving software quality by proactively detecting potential defects during development is a major goal of software engineering. Software defect prediction plays a central role in achieving ...
Analytics Insight

10 Exciting Python Data Science Projects Using Jupyter for Beginners

Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...
IEEE

Machine Learning in Biomedical Informatics: Optimizing Resource Allocation and Energy Efficiency in Public Hospitals

Abstract: This paper presents a computational framework that combines supervised machine learning and multi-objective optimization to support data-driven decision-making for resource allocation in ...
Frontiers

Random forest grid fault prediction based on genetic algorithm optimization

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...
GitHub

Python-based Advanced Numerical Nonlinear Optimization for Radiotherapy

Dataset import and preprocessing Automatic feature map generation 27-type feature catalogue for iterative (re)calculation to support model integration into optimization 7 customizable internal model ...