Results 151 to 160 of about 148,752 (225)

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

open access: yesEnergy Science &Engineering, EarlyView.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga   +3 more
wiley   +1 more source

bootstrap resampling

open access: yes
Citation: 'bootstrap resampling' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.11417 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

Predicting Parameters Affecting Building Energy Consumption Using Machine Learning Models

open access: yesEnergy Science &Engineering, EarlyView.
This framework integrates long‐term weather forecasting with building energy simulation to predict energy demand. The CNN–LSTM model achieved the highest accuracy (R2 ≈ 0.95), supporting smart HVAC control with ~ 15% energy savings. ABSTRACT The rapid growth of population and the construction industry have led to an increase in energy demand and an ...
Bassam Musheer Kareem   +3 more
wiley   +1 more source

Mono‐dimensional, two‐dimensional and Doppler echocardiographic measurements in healthy Standardbred neonatal foals in the first 5 days of life

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Bodyweight, age and breed influence the echocardiographic assessment of foals. There are no echocardiographic studies in Standardbred neonatal foals. Objectives To describe echocardiographic values for selected variables, evaluate intra‐ and inter‐observer variability and assess cardiac changes in the first 5 days of life in healthy
Fernanda Timbó D'el Rey Dantas   +8 more
wiley   +1 more source

Importance Resampling

open access: yes, 2020
Nicolas Chopin, Omiros Papaspiliopoulos
openaire   +1 more source

Risk assessment for condylar stress fracture in elite racing Thoroughbreds using standing computed tomography‐based virtual mechanical testing

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Condylar stress fracture of the third metacarpal bone (MC3) is a common catastrophic injury in Thoroughbred racehorses and is associated with parasagittal groove (PSG) subchondral osteolysis. Standing computed tomography (sCT) imaging enables sensitive identification of this fatigue‐induced early subchondral bone injury (SBI), but ...
Nicola L. Brown   +5 more
wiley   +1 more source

Cultivating Future Student Leaders: Core Self‐Evaluation and Student Leadership Practices With the Mediating Role of Motivation to Lead

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT Quality leadership practices among university student leaders are imperative for ensuring proper discipline within universities and fostering the future career success of students. This study aims to explore the factors that influence leadership practices among university student leaders. Data were gathered through a multistage sampling method
Miaoling Zhang, Lei Mee Thien
wiley   +1 more source

Mediation–Moderation Analysis of Senior High School Student Satisfaction, Academic Engagement, Gender, and Its Relationship With Learning Styles and Academic Performance

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT A complex interplay of cognitive, emotional and contextual factors shapes student learning and academic success. This study examined the relationships among learning styles, student satisfaction, academic engagement, gender, and academic performance of senior high school students in the La Dade‐Kotopon Municipality of Ghana.
Francis Britwum   +5 more
wiley   +1 more source

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer   +3 more
wiley   +1 more source

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