The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source
Comparing Bayesian estimation and structural-after-measurement approaches for structural equation models with latent interactions and complex data structures. [PDF]
Cox K, Kelcey B.
europepmc +1 more source
A local moment estimator of the spectrum of a large dimensional covariance matrix [PDF]
Weiming Li, Jianfeng Yao
openalex +1 more source
Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka +2 more
wiley +1 more source
New robust estimator for handling outliers and multicollinearity in gamma regression model with application to breast cancer data. [PDF]
Alshangiti AM +7 more
europepmc +1 more source
A Fully Soft Sensing Suit With Optimal Sensor Placement for Real‐Time Motion Tracking
A fully soft, skin‐conformable sensing suit integrating stretchable sensors, liquid metal wiring, and soft electrodes was developed using direct ink writing, with sensor placement optimized through an automated algorithmic pipeline. This system enables accurate and unobtrusive real‐time motion tracking, providing a scalable, material‐based solution to ...
Jinhyeok Oh, Joonbum Bae
wiley +1 more source
Joint mixed-effects models for causal inference in clustered network-based observational studies. [PDF]
McNealis V, Moodie EE, Dean N.
europepmc +1 more source
Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang +6 more
wiley +1 more source
New robust two-parameter estimator for overcoming outliers and multicollinearity in Poisson regression model. [PDF]
Mohammad HH +6 more
europepmc +1 more source
The generalized ridge estimator of the inverse covariance matrix
Wessel N. van Wieringen
openalex +1 more source

