AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Open Heart

Severe aortic stenosis detection using seismocardiography

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...
Scientific Research Publishing

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

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

gradient-boosting

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...
Scientific Research Publishing

Alcolea, A. and Resano, J. (2021) FPGA Accelerator for Gradient Boosting Decision Trees. Electronics, 10, Article No. 314.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
AOL

How to Repot a Fruit Tree Without Harming It—and Boost Your Harvests for Years to Come

Container fruit trees are a lovely way for those who have a smaller garden to grow their own lemons, figs, and more. However, over time, these trees will eventually outgrow their home and need to be ...
Frontiers

Predicting central lymph node metastasis in papillary thyroid microcarcinoma: a breakthrough with interpretable machine learning

Objective: To develop and validate an interpretable machine learning (ML) model for the preoperative prediction of central lymph node metastasis (CLNM) in papillary thyroid microcarcinoma (PTMC).
IEEE

Data-Driven Insights: Boosting Algorithms to Uncover Electricity Theft Patterns in AMI

Abstract: This study introduces a sophisticated supervised machine learning method for electric theft detection utilizing a customized histogram gradient boosting (HGB) algorithm. Comprehensive ...