Results 71 to 80 of about 25,526 (214)

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Analytical wave solutions and bifurcation analysis for optical pulse propagation in resonant nonlinear Schrödinger equation using improved modified extended tanh function method

Beni-Suef University Journal of Basic and Applied Sciences
Background The study of optical pulse propagation through nonlinear media plays a fundamental role in the development of modern fiber-optic communication systems.
Amany Tarek, Hamdy Ahmed, Niveen Badra, Islam Samir   +3 more
doaj   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

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

International 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

Wave Dynamics in Design: The Role of Nonlinear Potential Burgers’ Equation With Variable Coefficients

Advances in Mathematical Physics
This paper investigates exact solutions of the potential Burgers equation with variable coefficients (PBEVCs), contributing to communication engineering, nonlinear acoustics, and fluid mechanics.
Xiuchuan He, Hui Xiong, Jianming Qi, Yiqun Sun   +3 more
doaj   +1 more source

Revealing solitons in magneto-optic waveguides for a system of stochastic nonlinear Schrödinger equations with parabolic-nonlocal law of refractive index

Alexandria Engineering Journal
This research investigates the effect of white noise on the waves propagated in magneto-optic waveguides. A coupled system of stochastic nonlinear Schrödinger equations (NLSEs) with the parabolic-nonlocal law of refractive index is used to mimic the ...
Mohamed A. El-bassiouny, Hamdy M. Ahmed, Mona A. Abdel-Khalek, F.N. El-Gammal, Salah B. Doma   +4 more
doaj   +1 more source

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

Journal 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

Characterizing stochastic solitons behavior in (3+1)-dimensional Schrödinger equation with Cubic–Quintic nonlinearity using improved modified extended tanh-function scheme

Physics Open
An extended version of (3+1)-dimensional non-linear Schrödinger equation that has a cubic–quintic nonlinear component under the stochastic effects is examined in this investigation. Several stochastic exact solutions of this model is acquired through the
Karim K. Ahmed, Hamdy M. Ahmed, Mohammed F. Shehab, Tarek A. Khalil, Homan Emadifar, Wafaa B. Rabie   +5 more
doaj   +1 more source

Intelligent materials for on‐demand electromagnetic absorption

InfoMat, EarlyView.
This review introduces an innovative “stimulus‐state‐property” paradigm, facilitating a fundamental transition from static to dynamically intelligent electromagnetic wave absorption (EMWA). The key advancement lies in the synergistic integration of external fields with structurally engineered metamaterials and tunable components.
Chongyang Chai, Lin Yang, Haoxu Si, Bo Hao, Yi Zhang, Cuiping Li, Jingwei Zhang, Chunhong Gong   +7 more
wiley   +1 more source

Analytical soliton solutions for cubic-quartic perturbations of the Lakshmanan-Porsezian-Daniel equation using the modified extended tanh function method

Ain Shams Engineering Journal
In this paper, the improved modified extended Tanh function technique is used to find analytical solutions to the cubic-quartic Lakshmanan-Porsezian-Daniel model which describes the pulse propagation in optical fiber. Using the traveling wave theory, the
Hisham H. Hussein, Hamdy M. Ahmed, Wassim Alexan   +2 more
doaj   +1 more source