Results 61 to 70 of about 132,600 (302)

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
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, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Mitigating Multicollinearity in Regression: A Study on Improved Ridge Estimators

Mathematics
Multicollinearity, a critical issue in regression analysis that can severely compromise the stability and accuracy of parameter estimates, arises when two or more variables exhibit correlation with each other.
Nadeem Akhtar, Muteb Faraj Alharthi, Muhammad Shakir Khan   +2 more
doaj   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Relações genotípicas entre componentes da resistência pós-colheita em tomate Cereja e Salada Genotypic relationships between components of postharvest resistance of Cherry and Salad tomato

Acta Agronómica, 2009
Este trabalho objetivou avaliar a necessidade de realizar análise de trilha individualizada para tomates tipo Salada (L. esculentum) e Cereja (L. esculentum var.
Fábio Moreira Sobreira, Fabricio Moreira Sobreira, Gustavo Sessa Fialho, Gustavo Dias de Almeida, Caio Césio Salgado, Frederico de Pina Matta   +5 more
doaj  

Modified Liu Parameters for Scaling Options of the Multiple Regression Model with Multicollinearity Problem

Mathematics
The multiple regression model statistical technique is employed to analyze the relationship between the dependent variable and several independent variables.
Autcha Araveeporn
doaj   +1 more source

An Imaging‐Guided, Patient‐Specific Guiding Aid (RWNGuide) for Safe and Reproducible Inner Ear Drug Delivery

Advanced Materials Technologies, EarlyView.
A patient‐specific, imaging‐guided aid enables precise and reproducible drug delivery to the inner ear. By guiding therapeutic agents directly to the round window niche, this approach reduces variability in drug localization, improves delivery safety, and addresses a critical bottleneck in inner ear therapy, offering a scalable strategy for precision ...
Yanjing Luo, Shanshan Jiang, Yimian Luo, Adele Moatti, Farnaz Matin‐Mann   +4 more
wiley   +1 more source

Corals and Reef‐Dwelling Fish Regulate Carbon Storage and Cycling Processes in Coral Reef Ecosystems

Advanced Science, EarlyView.
Coral reefs are biodiversity hotspots, yet their role in carbon storage and cycling remains poorly understood. Using field surveys and modeling in the South China Sea, we reveal the overlooked potential of carbon storage in reef ecosystems and how reef fish, corals, and surface sediment jointly shape reef carbon reservoirs.
Yiting Chen, Wenliang Zhou, Lan Qiu, Han Lai, Mingpan Huang, Qian Li, Wen Yu, Pei‐Yuan Qian, Fuwen Wei   +8 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Multicollinearity of study variables.

, 2019
Multicollinearity of study variables.
Philip A. Cola (268001), Yolonda Freeman-Hildreth (6541577), David Aron (3803110), Yunmei Wang (3471653)   +3 more
core   +1 more source

Novel Statistical Regularized Extreme Learning Algorithm to Address the Multicollinearity in Machine Learning

IEEE Access
The multicollinearity problem is a common phenomenon in data-driven studies, significantly affecting the performance of machine learning algorithms during the process of extracting information from data.
Hasan Yildirim
doaj   +1 more source