Results 61 to 70 of about 46,526 (254)

Waveguide Photoactuators: Materials, Fabrication, and Applications

Advanced Robotics Research, EarlyView.
Waveguide photoactuators convert guided light into mechanical motion. Their tethered‐flexible design enables minimally invasive surgery and confined‐space robotics. This review aims to guide materials selection, device design, and system integration, accelerating the transition of waveguide photoactuators from laboratory prototypes to versatile ...
Minjie Xi, Hemin Pan, Yang Zong, Yongfeng Mei, Jizhai Cui   +4 more
wiley   +1 more source

Modified Ridge Regression With Cook’s Distance for Semiparametric Regression Models

Journal of Mathematics
Multicollinearity and influential cases in semiparametric regression models lead to biased and unreliable estimates distorting leverage and residual patterns.
Najeeb Mahmood Khan, Muhammad Aman Ullah, Javaria Ahmad Khan, Salman Raza   +3 more
doaj   +1 more source

Random Design Analysis of Ridge Regression [PDF]

Foundations of Computational Mathematics, 2014
This work gives a simultaneous analysis of both the ordinary least squares estimator and the ridge regression estimator in the random design setting under mild assumptions on the covariate/response distributions. In particular, the analysis provides sharp results on the ``out-of-sample'' prediction error, as opposed to the ``in-sample'' (fixed design ...
Hsu, Daniel, Kakade, Sham M., Zhang, Tong   +2 more
openaire   +5 more sources

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Semi-Supervised Ridge Regression with Adaptive Graph-Based Label Propagation

Applied Sciences, 2018
In order to overcome the drawbacks of the ridge regression and label propagation algorithms, we propose a new semi-supervised classification method named semi-supervised ridge regression with adaptive graph-based label propagation (SSRR-AGLP).
Yugen Yi, Yuqi Chen, Jiangyan Dai, Xiaolin Gui, Chunlei Chen, Gang Lei, Wenle Wang   +6 more
doaj   +1 more source

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

Weighted Ridge Regression: Combining Ridge and Robust Regression Methods [PDF]

, 1973
This paper gives the formulas for and derivation of ridge regression methods when there are weights associated with each observation. A Bayesian motivation is used and various choices of k are discussed. A suggestion is made as to how to combine ridge regression with robust regression methods.
openaire   +2 more sources

Bayesian Analyses of Ridge Regression Prooblems

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2017
   A Bayesian formulation of the ridge regression problem is considerd, which derives from a direct specification of prior informations about parameters of general linear regression model when data suffer from a high degree of multicollinearity.A new ...
H. M. Gorgees
doaj  

Soil Inorganic Electron Acceptors and Carbon Substrates Hierarchically Govern Wetland Methanogenesis Temperature Response

Advanced Science, EarlyView.
ABSTRACT Wetlands constitute Earth's largest natural methane (CH4) source, yet projections of their climate feedback remain uncertain due to poorly constrained temperature sensitivity (Q10‐CH4) of microbial methanogenesis. While water table dynamics have been demonstrated to regulate wetland methanogenesis by altering key soil conditions such as ...
Shuying Qiu, Qingfang Jing, Xuhui Zhou, Xiaoxin Sun, Zhenyu Wei, Baizhi Jiang, Hongyang Chen   +6 more
wiley   +1 more source

Significance testing in ridge regression for genetic data

BMC Bioinformatics, 2011
Background Technological developments have increased the feasibility of large scale genetic association studies. Densely typed genetic markers are obtained using SNP arrays, next-generation sequencing technologies and imputation.
De Iorio Maria, Vineis Paolo, Cule Erika
doaj   +1 more source