Results 111 to 120 of about 1,589,421 (354)

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

Advanced Robotics Research, EarlyView.
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds, Donan Satria Yudha, Parvez Alam   +2 more
wiley   +1 more source

Homogenization for Nonlocal Evolution Problems with Three Different Smooth Kernels

, 2023
Monia Capanna, Jean Carlos Nakasato, Marcone C. Pereira, Julio D. Rossi   +3 more
openalex   +1 more source

Kernel Smoothing of Data with Correlated Errors [PDF]

Journal of the American Statistical Association, 1990
Abstract Kernel smoothing is a common method of estimating the mean function in the nonparametric regression model y = f(x) + e, where f(x) is a smooth deterministic mean function and e is an error process with mean zero. In this article, the mean squared error of kernel estimators is computed for processes with correlated errors, and the estimators ...
openaire   +1 more source

A power comparison between nonparametric regression tests [PDF]

In this paper, we consider three major types of nonparametric regression tests that are based on kernel and local polynomial smoothing techniques.
Dette, Holger, Zhang, Chunming
core  

The Discrepancy Principle for Choosing Bandwidths in Kernel Density Estimation [PDF]

, 2012
We investigate the discrepancy principle for choosing smoothing parameters for kernel density estimation. The method is based on the distance between the empirical and estimated distribution functions.
Mildenberger, Thoralf
core  

Construction of a Multitissue Cell Atlas Reveals Cell‐Type‐Specific Regulation of Molecular and Complex Phenotypes in Pigs

Advanced Science, EarlyView.
This research conducts an in‐depth investigation of cell‐type‐specific regulatory mechanisms underlying molecular and complex phenotypes through integrative analysis of multitissue single‐nucleus RNA sequencing, bulk RNA‐seq, and genome‐wide association study (GWAS) data in pigs.
Lijuan Chen, Houcheng Li, Jinyan Teng, Zhen Wang, Xiaolu Qu, Zhe Chen, Xiaodian Cai, Haonan Zeng, Zhonghao Bai, Jinghui Li, Xiangchun Pan, Leyan Yan, Fei Wang, Lin Lin, Yonglun Luo, Goutam Sahana, Mogens Sandø Lund, Maria Ballester, Daniel Crespo‐Piazuelo, Peter Karlskov‐Mortensen, Merete Fredholm, Alex Clop, Marcel Amills, Crystal Loving, Christopher K. Tuggle, Ole Madsen, Jiaqi Li, Zhe Zhang, George E. Liu, Jicai Jiang, Lingzhao Fang, Guoqiang Yi   +31 more
wiley   +1 more source

Random kernel k-nearest neighbors regression

Frontiers Big Data
The k-nearest neighbors (KNN) regression method, known for its nonparametric nature, is highly valued for its simplicity and its effectiveness in handling complex structured data, particularly in big data contexts.
Patchanok Srisuradetchai, Korn Suksrikran   +1 more
semanticscholar   +1 more source

Ecologically‐Valid Emotion Signatures Enhance Mood Disorder Diagnostics

Advanced Science, EarlyView.
This study identifies ecologically‐valid Divergent Emotional Functional Networks (DEFN), derived from dynamic functional connectivity during naturalistic movie watching. The DEFN reliably enhances diagnostic accuracy for mood disorders, including major depressive and bipolar disorders, demonstrating strong reproducibility across demographic factors and
Shuyue Xu, Linling Li, Ting Luo, Gan Huang, Li Zhang, Benjamin Becker, Zhen Liang   +6 more
wiley   +1 more source

Smoothing Estimation of Parameters in Censored Quantile Linear Regression Model

Mathematics
In this paper, we propose a smoothing estimation method for censored quantile regression models. The method associates the convolutional smoothing estimation with the loss function, which is quadratically derivable and globally convex by using a non ...
Mingquan Wang, Xiaohua Ma, Xinrui Wang, Jun Wang, Xiuqing Zhou, Qibing Gao   +5 more
doaj   +1 more source

Near-optimal estimation of smooth transport maps with kernel\n sums-of-squares [PDF]

, 2021
Boris Muzellec, Adrien Vacher, Francis Bach, François‐Xavier Vialard, Alessandro Rudi   +4 more
openalex   +1 more source