Results 121 to 130 of about 3,227,878 (310)
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Time-to-event (TTE) machine learning (ML) algorithms are increasingly utilized in prognostic models, but systematic evaluation is lacking to identify their strengths and limitations.
Abubaker Suliman +5 more
doaj +1 more source
Monocular Road Detection Using Structured Random Forest
Road detection is a key task for autonomous land vehicles. Monocular vision-based road-detection algorithms are mostly based on machine learning approaches and are usually cast as classification problems.
Liang Xiao +4 more
doaj +1 more source
Motivated by online recommendation systems, we study a family of random forests. The vertices of the forest are labeled by integers. Each non-positive integer $i\le 0$ is the root of a tree. Vertices labeled by positive integers $n \ge 1$ are attached sequentially such that the parent of vertex $n$ is $n-Z_n$, where the $Z_n$ are i.i.d.\ random ...
Broutin, Nicolas +3 more
openaire +4 more sources
Big red wins back title as nation's largest ponderosa pine -- Salmon's journey home -- Destructive foreign invader -- Douglas-fir seedling reaches for the light -- Community members and school kids bring back a forest -- High-climbing botanists discover ...
core
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Brain Tumor Segmentation Based on Random Forest [PDF]
In this article we present a discriminative model for tumor detection from multimodal MR images. The main part of the model is built around the random forest (RF) classifier.
László Lefkovits +2 more
doaj
Man find hoary bat, becomes bat man -- Wood duckling leaps for life -- Day in the life of a girl flunkey -- Learning about worms from the inside out -- Water journeys from forest to faucet -- Young ant queen begins her reign -- Not just a pretty face ...
core
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source

