Results 161 to 170 of about 12,964 (262)

MVO: A Magneto-Visual Odometry System for Indoor Positioning. [PDF]

Sensors (Basel)
Peng T, Ming C, Yang Z, Wang H, Yu J, Wang X.   +5 more
europepmc   +1 more source

Do Commodity Prices and Energy Markets Drive Asymmetric Volatility in Biodiversity Finance?

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines symmetric and asymmetric volatility spillovers among biodiversity finance, commodity prices, and energy markets using daily data from 2019 to 2025. We apply the Diebold–Yilmaz time–domain connectedness model, Baruník–Křehlík frequency–domain decomposition, and an asymmetric spillover framework.
Ijaz Younis, Maqsood Ahmad, Himani Gupta, Kun Su, Waheed Ullah Shah   +4 more
wiley   +1 more source

Noncyclic BCH and Srivastava codes over the subgroup of the groups of units of Galois rings [Formula: see text] for advanced error control. [PDF]

Sci Rep
Sajjad M, Bashir Q, Haleemzai I, Abdalrahem MK, Hazzazi MM.   +4 more
europepmc   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

A multi-stage stacking framework for accurate and interpretable life expectancy modeling. [PDF]

PLoS One
Chinthaginjala R, Tera SP, Natha P, Srinivasulu A, Al-Turjman F, Mohammad F.   +5 more
europepmc   +1 more source

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

A continuous-space analytical framework for committor functions from molecular dynamics. [PDF]

J Chem Phys
Cao S, Huang X.
europepmc   +1 more source

Opening the Black Box of Sustainable Investing: Examining the Impact of Psychological Distance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the effects of psychological distance on investors' reaction to sustainability controversies. Based on two stated choice experiments among 142 German and 136 French student participants, we find evidence that respondents react more strongly to controversies which are perceived as less distant in social, spatial, or ...
Philipp Kleffel, Ralf Barkemeyer, Matthias Muck, Sebastian Gundler   +3 more
wiley   +1 more source

RF-SVR-based prediction methodology for metal tube-bending rebound: Handling non-uniformity and limited sample challenges. [PDF]

PLoS One
Fang Z, Zhang P, Li L, Zhang Q.
europepmc   +1 more source

Coupling Fluid Neutrals to Gyrokinetic Plasma Dynamics for Edge and SOL Turbulence Simulations

Contributions to Plasma Physics, EarlyView.
ABSTRACT Accurate modeling of turbulent transport in magnetic confinement fusion devices requires extending first‐principles gyrokinetic simulations from the core to the edge and scrape‐off layer (SOL), where additional physics—particularly plasma–neutrals interactions—must be included.
Sabine Ogier‐Collin, Philipp Ulbl, Wladimir Zholobenko, Frank Jenko   +3 more
wiley   +1 more source