Results 191 to 200 of about 346,567 (317)

Categorical Inputs, Sensitivity Analysis, Optimization and Importance Tempering with tgp Version 2, an R Package for Treed Gaussian Process Models

This document describes the new features in version 2.x of the tgp package for R, implementing treed Gaussian process (GP) models. The topics covered include methods for dealing with categorical inputs and excluding inputs from the tree or GP part of the
Robert B. Gramacy, Matthew Alan Taddy
core  

Pickering‐Engineered Microparticles for Magnetically Guided Motion and Light‐Triggered Catalysis

Advanced Functional Materials, EarlyView.
Magnetically responsive wax microparticles stabilized by hematite cubes through the Pickering emulsification strategy are developed, showing controlled size, motion, and light‐activated catalytic activity. Annealing under a magnetic field enhances their mobility and steering.
Chiara Ferlito, Ludovico Guercio, Giuseppe Cavallaro, Giuseppe Lazzara, Theodore Hueckel, Lorenzo Lisuzzo, Stefano Sacanna   +6 more
wiley   +1 more source

On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing. [PDF]

J Math Biol
Petti S, Martí-Gómez C, Kinney JB, Zhou J, McCandlish DM.   +4 more
europepmc   +2 more sources

The Lamperti transformation for self-similar processes [PDF]

In this paper we establish the uniqueness of the Lamperti transformation leading from self-similar to stationary processes, and conversely. We discuss alpha-stable processes, which allow to understand better the difference between the Gaussian and non ...
Makoto Maejima, Aleksander Weron, Krzysztof Burnecki   +2 more
core  

Oxidized MoS2‐Based Multifunctional Memristive Hardware for Energy‐Efficient mmWave Signal Processing and In‐Memory Matrix Multiplication

Advanced Functional Materials, EarlyView.
Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son, Changwoo Pyo, Sungmoon Park, Yoongi Cho, Seungchan Lee, Myungsoo Kim   +5 more
wiley   +1 more source

Transparent and Robust LiCl–Organohydrogel Triboelectric Nanogenerator With Deep Learning Assisted Sensing

Advanced Functional Materials, EarlyView.
Develop a LiCl–PEI–PAM hydrogel with 3000% stretchability and excellent optical transparency. Through comparative studies of various salts, confirm that LiCl is the most suitable salt for high TENG output. Achieve excellent freeze‐resistant, dry‐resistant, and rapid self‐healing (10 s) properties even in extreme environments. Balance ionic conductivity,
Hai Anh Thi Le, Thien Trung Luu, Duc‐Manh Dinh, Kyehan Rhee, Kyungwho Choi, Dukhyun Choi, Yong Tae Park   +6 more
wiley   +1 more source

Conformal Metallosaccharide Hybrid Films for Protecting Wood Surfaces From Environmental Damage

Advanced Functional Materials, EarlyView.
Ti‐ribose hybrid films fabricated by molecular layer deposition form a conformal and uniform coating on wood surfaces, which provides water repellence, dimensional stability, and resistance to acidic and alkaline environments, while preserving the natural appearance.
Wenwen Wang, Aranzazu Sierra Fernandez, Gabriele Botta, Evgenii Modin, Iva Šarić Janković, Shidong Ji, Junli Liu, Mato Knez   +7 more
wiley   +1 more source

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

Advanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon, Taewon Lee, Dohyeong Kim, Sungmin Hwang, Sungjoon Kim   +4 more
wiley   +1 more source

Modeling long-range dependent Gaussian processes with application in continuous-time financial models

This paper considers a class of nonstationary Gaussian processes with possible long-range dependence (LRD) and intermittency. The author proposes a new estimation method to simultaneously estimate both the LRD and intermittency parameter.
Gao, Jiti
core  

Geometry of smooth Gaussian fields

Gaussian fields are ubiquitous in probability as they are scaling limits of many natural objects, and in applied science as they are instrumental in modelling natural phenomena.
Hegde, Akshay Sateesh
core   +1 more source