Results 41 to 50 of about 3,505 (256)

M Robust Weighted Ridge Estimator in Linear Regression Model

African Scientific Reports, 2023
Correlated regressors are a major threat to the performance of the conventional ordinary least squares (OLS) estimator. The ridge estimator provides more stable estimates in this circumstance.
Taiwo Stephen Fayose, Kayode Ayinde, Olatayo Olusegun Alabi   +2 more
doaj   +1 more source

On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators

J. Mach. Learn. Res., 2020
We study the problem of estimating the derivatives of a regression function, which has a wide range of applications as a key nonparametric functional of unknown functions. Standard analysis may be tailored to specific derivative orders, and parameter tuning remains a daunting challenge particularly for high-order derivatives.
Zejian Liu, Meng Li
openaire   +4 more sources

A Lightweight, 3D‐Printable, Low‐Cost, “One‐Click” Dorsal Skin Window for High‐Quality Long‐Term Multimodal Subcutaneous Tumor Imaging

Advanced Healthcare Materials, EarlyView.
An innovative, lightweight 3D‐printed skinfold chamber system is presented for long‐term intravital imaging. This affordable, biocompatible platform simplifies surgical implantation and allows high‐resolution, multimodal visualization of the tumor microenvironment for up to four weeks.
Iván Cortés Domínguez, Xabier Morales Urteaga, Maider Esparza, Lucía Grande, Ainhoa Urbiola, Cristina Ederra, Tomas Muñoz Santoro, Beatrice Pinci, Alvaro Teijeira, Carlos Ortiz de Solórzano   +9 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Kibria-Lukman Estimator for General Linear Regression Model with AR(2) Errors: A Comparative Study with Monte Carlo Simulation

Journal of New Theory, 2022
The sensitivity of the least-squares estimation in a regression model is impacted by multicollinearity and autocorrelation problems. To deal with the multicollinearity, Ridge, Liu, and Ridge-type biased estimators have been presented in the statistical ...
Tuğba Söküt Açar
doaj   +1 more source

Engineering Pluripotent Stem Cells‐Derived Inner Ear Organoids With Enhanced Maturation and Reproducibility by Micro‐Topographical Cues

Advanced Materials, EarlyView.
Micro‐topographical cues applied through temporally controlled microscale confinement improve the reproducibility, spatial organization, and neurosensory‐associated features of pluripotent stem cell‐derived inner ear organoids. Integration with a vascularized organoid platform further enables controlled investigation of vascular‐epithelial interactions
Harshita Sharma, Jungeun Lim, Woochan Kim, Yeon Ju Kim, Dream Kim, Shinyull Lee, Chaeyeon Park, Stephen Rhee, Shruthy Kuttapan, Jungho Ha, Sang Wook Park, Kyunghoon Kim, Noo Li Jeon, Sunho Park, Yun‐Hoon Choung, Jangho Kim   +15 more
wiley   +1 more source

Two Stage Robust Dawoud – Kibria Estimator for Handling multicollinearity and outliers in the linear Regression model. [PDF]

Maǧallaẗ Al-Buḥūṯ Al-Tiǧāriyyaẗ
In the linear regression model, the least-squares (LS) estimator is commonly used to estimate regression parameters. However, LS becomes unreliable and unfavorable when the model is affected by multicollinearity and outliers simultaneously.
Enas Goda Mohamed
doaj   +1 more source

Modified One-Parameter Liu Estimator for the Linear Regression Model

Modelling and Simulation in Engineering, 2020
Motivated by the ridge regression (Hoerl and Kennard, 1970) and Liu (1993) estimators, this paper proposes a modified Liu estimator to solve the multicollinearity problem for the linear regression model.
Adewale F. Lukman, B. M. Golam Kibria, Kayode Ayinde, Segun L. Jegede   +3 more
doaj   +1 more source

Maskless Fabrication of PLA‐Based Neural Arrays for CNS Recording and Stimulation

Advanced Materials Interfaces, EarlyView.
Biodegradable neural interfaces enable bidirectional communication with the CNS. Through electrochemical characterization, ageing tests with impedance monitoring, and in vivo validation, we assess the performance of PLA‐based epicortical and spinal implants.
Anna De Salvo, Federica Velluto, Ilenia Sergi, Michele Di Lauro, Verónica Barranco‐Maresca, Elena Alonso‐Calviño, Yasmina Hernández‐Martín, Juan Aguilar, Juliana M. Rosa, María C. Serrano, Carolina Giulia Ferroni, Federico Rondelli, Elisa López‐Dolado, Luciano Fadiga, Fabio Biscarini   +14 more
wiley   +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, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source