Devdiscourse

Wildfire AI models need more transparency before they can earn trust

The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...
Scientific Research Publishing

Bottleneck Identification in Semiconductor Manufacturing: A Machine Learning Approach ()

The semiconductor industry is known for its complex production. Thousands of machines (tools) perform thousands of operations over a diverse range of products with re-entrant flows and shifting ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
Wired

A New Algorithm Makes It Faster to Find the Shortest Paths

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Time

How the Secret Algorithms Behind Social Media Actually Work

Flat vector illustration created from hand drawn doodles and textures depicting different people using wireless technology. Ever wondered how social media platforms decide how to fill our feeds? They ...
IEEE

Optimizing XGBoost Hyperparameters for Credit Scoring Classification Using Weighted Cognitive Avoidance Particle Swarm

Abstract: Decision trees in machine learning achieved satisfactory performance in classification. Decision trees offer the advantage of handling high-dimensional and complexly correlated data through ...
ascopubs.org

Prediction of Patients With High-Risk Osteosarcoma on the Basis of XGBoost Algorithm Using Transcriptome and Methylation Data From SGH-OS Cohort

Benefits of Combining Circulating Tumor DNA With Tissue and Longitudinal Circulating Tumor DNA Genotyping in Advanced Solid Tumors: SCRUM-Japan MONSTAR-SCREEN-1 Study Osteosarcoma (OS) is the most ...
IEEE

Predicting Cancer Classification Based on the Improved XGBoost Algorithms

Abstract: Objective: This study aims to explore the optimization of XGBoost algorithm parameters based on heuristic algorithms, with the goal of improving the classification accuracy of the ...