Results 91 to 100 of about 7,694 (263)

Interpretable Tree‐Based Models for Predicting Short‐Term Rockburst Risk Considering Multiple Factors

open access: yesEnergy Science &Engineering, EarlyView.
Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen   +4 more
wiley   +1 more source

Ellipsoid-Structured Localized Generalized Eigenvalue Proximal Support Vector Machines

open access: yesMathematics
The Generalized Eigenvalue Proximal Support Vector Machine (GEPSVM) introduces a novel large-margin classifier that improves upon standard SVMs by constructing a pair of non-parallel hyperplanes derived from a generalized eigenvalue problem. However, the
Jianhang Zhou   +3 more
doaj   +1 more source

Characteristics, Motivators, and Enablers of Educators Who Earn Many Micro‐Credentials

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT This study explores the characteristics, motivators, and enablers of US educators, who earned more than ten micro‐credentials. Although research exists on attitudes and motivators associated with educators newly engaging with micro‐credentials, it lacks insights into learners earning many micro‐credentials.
Marilys Galindo   +1 more
wiley   +1 more source

Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source

Numerical enclosure for each eigenvalue in generalized eigenvalue problem

open access: yesJournal of Computational and Applied Mathematics, 2012
The paper presents an algorithm for enclosing all eigenvalues in the generalized eigenvalue problem \[ Ax=\lambda Bx,\;A,B\in {\mathbb C}^{n\times n},\;\lambda\in{\mathbb C},\;x\in{\mathbb C}^n\tag{1} \] where \(\lambda\) is the eigenvalue and \(x\neq 0\) is an eigenvector corresponding to \(\lambda.\) This algorithm is applicable even if \(A\in ...
openaire   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

Aggregating distributed energy resources for grid flexibility services: A distributed game theoretic approach

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView., 2023
Abstract We propose a hierarchical energy management scheme for aggregating Distributed Energy Resources (DERs) for grid flexibility services. To prevent a direct participation of numerous prosumers in the wholesale electricity market, aggregators, as self‐interest agents in our scheme, incentivize prosumers to provide flexibility. We firstly model the
Xiupeng Chen   +3 more
wiley   +1 more source

Love of the Job: What It Is, How to Measure It, and Why It Matters for Work Outcomes

open access: yesHuman Resource Management, EarlyView.
ABSTRACT Employee retention, motivation, performance, and well‐being remain enduring priorities in human resource management, yet existing constructs such as engagement, commitment, and satisfaction do not fully capture the depth of emotional attachment that some employees feel towards their jobs.
Michelle Inness   +8 more
wiley   +1 more source

Evolutionary dynamics on a regular networked structured and unstructured multi‐population

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView., 2023
Abstract In this paper, we study collective decision‐making in a multi‐population framework, where groups of individuals represent whole populations that interact by means of a regular network. Each group consists of a number of players and every player can choose between two options.
Wouter Baar   +2 more
wiley   +1 more source

Scaling With Bias? The Role of Founders' HR Knowledge and Experience in Hiring and Managerial Appointments

open access: yesHuman Resource Management, EarlyView.
ABSTRACT New ventures are expected to continuously add new jobs and managerial positions to meet the expanding demands of scaling. However, the rapid pace and inherent uncertainty of scaling often lead founders of new ventures to rely on heuristics when making these critical hiring and managerial appointment decisions.
Mohamed Genedy   +3 more
wiley   +1 more source

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