Results 161 to 170 of about 106,398 (294)
Advanced Materials Technologies, EarlyView.ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
Boosting the accuracy of hedonic pricing models
Hedonic pricing models attempt to model a relationship between object attributes andthe object's price. Traditional hedonic pricing models are often parametric models that sufferfrom misspecification.
Kagie, M., Potharst, R., Wezel, M.C. van
core +1 more source
Gradient boosting-based discrete failure time model for selecting time-varying effects and interactions. [PDF]
Lifetime Data AnalLuo L, He K, Taylor JMG.
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Prediction of Plant Disease Severity Using Advanced Gradient Boosting Techniques
Plant diseases significantly impact agricultural productivity, causing economic losses and food insecurity. Predicting the severity of plant diseases is crucial for timely interventions and sustainable farming practices.
JYOTHI N M, A. SRI LAKSHMI
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Development and Internal Validation of a Gradient Boosting Model for Pressure Injury Risk in the ICU. [PDF]
Int Wound JQian S +9 more
europepmc +1 more source
Advanced Materials Technologies, EarlyView.This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
Hedonic price models and indices based on boosting applied to the Dutch housing market
We create a hedonic price model for house prices for six geographical submarkets in the Netherlands. Our model is based on a recent data mining technique called boosting.
Kagie, M., Wezel, M.C. van
core +1 more source
Gradient boosting algorithm for predicting student success
The idea of using machine learning resolution techniques to predict student performance on an online learning platform such as Moodle has attracted considerable interest.
Jabir, Brahim +3 more
core +2 more sources
Advanced Materials Technologies, EarlyView.The study considers the use of polymer/dielectric‐based multilayers piezoelectric Energy Harvesters (EH) to produce an output voltage and current, by exploiting the mechanical energy provided by human organs movements. In particular, the heart motion is considered from the kinematic viewpoint, and a multiphysics theoretical model is developed to assess
Hamdi Ezzin +5 more
wiley +1 more source