Results 111 to 120 of about 28,744 (310)

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

A Novel Regularized Extreme Learning Machine Based on $$L_{1}$$-Norm and $$L_{2}$$-Norm: a Sparsity Solution Alternative to Lasso and Elastic Net

, 2023
Hasan Yıldırım, M. Revan Özkale
openalex   +2 more sources

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source

3-D inversion of magnetic data based on the L1–L2 norm regularization

Earth, Planets and Space, 2019
Magnetic inversion is one of the popular methods to obtain information about the subsurface structure. However, many of the conventional methods have a serious problem, that is, the linear equations to be solved become ill-posed, under-determined, and ...
Mitsuru Utsugi
doaj   +1 more source

Elastic-net regularization versusℓ¹-regularization for linear inverse problems with quasi-sparse solutions [PDF]

, 2016
De-Han Chen, Bernd Hofmann, Jun Zou
openalex   +1 more source

CSCNet: Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty [PDF]

, 2022
Shahin Roshani
openalex   +1 more source

Double Sided Traction Force Microscopy: A Method to Confine Cells for Physiologically Relevant Force Measurements

Cytoskeleton, EarlyView.
ABSTRACT In this paper we describe a technique to make a confined environment of variable stiffness that is suitable for high‐resolution live‐cell imaging. This versatile and adaptable technique enables cell confinement between soft elastic surfaces made from polyacrylamide gels.
Alexia Caillier, Patrick W. Oakes
wiley   +1 more source

From Custom to Court: The Evolution of Mediation in European Legal Systems

Conflict Resolution Quarterly, EarlyView.
ABSTRACT This article traces how European mediation has repeatedly rebalanced three variables—(1) the source of mediator authority, (2) the degree of institutionalization, and (3) the operative meaning of voluntariness—from antiquity to the present. Using three periods—Proto‐Mediation (c. 500 BCE–c. 1750), Classical Mediation (c.
Viktoriia Hamaiunova
wiley   +1 more source

Identifying Factors Predicting Kidney Graft Survival in Chile Using Elastic-Net-Regularized Cox’s Regression [PDF]

, 2022
Leandro Magga, Simón Maturana, Marcelo Olivares, Martín Valdevenito, Josefa Cabezas, Javier Chapochnick, Fernando González, Álvaro Kompatzki, Hans Werner Müller, Jacqueline Pefaur, Camilo Ulloa, Ricardo Valjalo   +11 more
openalex   +1 more source

RTGS Determinant & Sub-transaction Behavior during COVID-19 in Indonesia

Buletin Ekonomi Moneter dan Perbankan
This paper investigates external factors affecting Indonesia’s Real Time Gross Settlement (RTGS) transactions by applying machine learning regularization to identify key variables from a large dataset. A Vector AutoRegression (VAR) model analyzes dynamic
Bastian Muzbar Zams, Akhmad Pangersa, Gemala Srihati, Primitiva Febriarti, Nur Hasniawati   +4 more
doaj   +1 more source