Results 111 to 120 of about 9,582 (250)

Immersed Boundary Projection Method for Boundaries With Slip Velocities

International Journal for Numerical Methods in Fluids, EarlyView.
A formulation of the immersed boundary method for incompressible flow over arbitrarily‐shaped bodies with surface slip described by the Navier boundary condition is presented. The wall slip velocity and the boundary force are determined implicitly through a projection to satisfy both the boundary condition and the divergence‐free condition of the ...
Takehiro Fujii, Takeshi Omori
wiley   +1 more source

An improved edge detection method for interpreting gravity potential field data

Earth and Planetary Physics
Edge detection represents a critical task in potential field data interpretation and is extensively utilized for detecting faults, contacts, and other linear geological structures.
ZhiXin Xue, Lei Jing, YaBin Yang, MengLong Xu, LongJun Qiu, ChengYe Sun, SuLi Shi, ZhenNing Su, Jian Fang   +8 more
doaj   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Extraction of solitons in multimode fiber for CHNLSEs using improved modified extended tanh function method

Alexandria Engineering Journal
The coupled higher-order nonlinear Schrödinger equations (CHNLSEs) are investigated in this paper. This model mimic the actuation of the solitons through multimode fibers. The technique of improved modified extended tanh function is used to conduct the study.
Ola El-Shamy, Reda El-barkoki, Hamdy M. Ahmed, W. Abbas, Islam Samir   +4 more
openaire   +2 more sources

A Novel Text‐Based Framework for Forecasting Carbon Prices

Journal of Forecasting, EarlyView.
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Robustness of Spontaneous Polarization Through Nonlinear Directional Antagonism Without Global Inhibition

Journal of the Chinese Chemical Society, EarlyView.
The conventional “local activation–global inhibition” (LAGI) models utilize mean‐field averaging inhibition to suppress distant activations. As the inhibition diminishes with distance, LAGI models struggle to achieve robust single‐axis polarity in large systems.
Chin‐Lin Guo, Chiao‐Yu Tseng
wiley   +1 more source

Changing Water Resources in the Indus Basin: A Multi‐Model Budyko‐Based Analysis

International Journal of Climatology, EarlyView.
Budyko‐based analysis evaluates historical (1962–2005) and future hydroclimatic change across the Indus River Basin. Budyko shifts indicate rising atmospheric evaporative demand and increasing energy limitation under future scenarios. ABSTRACT Assessing hydroclimatic variability and future water availability is crucial for sustainable water‐resource ...
Muhammad Arif, Chia‐Jeng Chen, Nir Krakauer, Tsung‐Yu Lee   +3 more
wiley   +1 more source

Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this study, we delve into the stochastic Hirota–Maccari system, which is subjected to multiplicative noise according to the Itô sense. The stochastic Hirota–Maccari system is significant for its ability to accurately model how stochastic affects nonlinear wave propagation, providing valuable insights into complex systems like fluid dynamics
Mohamed E. M. Alngar, Khaled A. Gepreel, Reham M. A. Shohib, Yakup Yildirim   +3 more
wiley   +1 more source

Sundman‐Like Transformations and the NRT Nonlinear Schrödinger Equation

Mathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We present a new generalization of the well‐known power‐type Sundman transformation, involving not only powers of the function but also of its derivative, along with its inverse. Our aim is to explore the use of such transformations in the derivation of solutions of ordinary differential equations and in the study of their properties.
P. R. Gordoa, A. Pickering, D. Puertas‐Centeno, E. V. Toranzo   +3 more
wiley   +1 more source