Results 101 to 110 of about 1,533 (240)

Soliton dynamics and multistability analysis of the Hamiltonian amplitude model

Results in Physics
This work delivers the soliton outcomes through the 1G′ scheme, the modified extended tanh-function (METF) method, and the 1G,G′G approach to the Hamiltonian amplitude (HA) model.
Rabeya Akter
doaj   +1 more source

Robust CDF‐Filtering of a Location Parameter

Journal of Time Series Analysis, EarlyView.
ABSTRACT This paper introduces a novel framework for designing robust filters associated with signal plus noise models having symmetric observation density. The filters are obtained by a recursion where the innovation term is a transform of the cumulative distribution function of the residuals.
Leopoldo Catania, Andrew C. Harvey, Alessandra Luati   +2 more
wiley   +1 more source

Bifurcation Analysis and Soliton Behavior of New Combined Kairat-II-X Differential Equation Using Analytical Methods

Mathematics
The exact analytical solutions of a new combined Kairat-II-X differential equation are presented. The related model is investigated by combining the enhanced modified extended tanh function method and the modified tan(ϕ/2)-expansion method.
Jun Zhang, Haifa Bin Jebreen, Rzayeva Nuray   +2 more
doaj   +1 more source

Systemic risk in the insurance sector: A semi‐parametric approach based on Spearman's rho

Risk Management and Insurance Review, EarlyView.
Abstract We propose a new method to measure systemic risk in the global insurance sector by analyzing interconnectedness among firms under different market conditions. Using a semi‐parametric approach that relies on the Spearman correlation and copula‐based partial dependence, we assess relationships in relatively stable, extremely bullish, and ...
Leonardo Iania, Arturo Leccadito, Alessandro Staino   +2 more
wiley   +1 more source

Invariant formulation of nonclassical symmetries and explicit solutions of Rosenau-Hyman equation along with bifurcation analysis

Partial Differential Equations in Applied Mathematics
This study focuses on the Rosenau–Hyman equation, which is a fundamental model in nonlinear wave dynamics, and investigates it through the lens of nonclassical symmetry analysis.
M.A. El-Shorbagy, Sonia Akram, Mati Ur Rahman, Hossam A. Nabwey   +3 more
doaj   +1 more source

Intelligent online process fault diagnosis through integrating Andrews function, autoencoder, and neural networks

The Canadian Journal of Chemical Engineering, Volume 104, Issue 4, Page 2033-2054, April 2026.
Abstract This paper proposes an online process fault diagnosis scheme that integrates principal component analysis, Andrews function, autoencoder, and multilayer feedforward neural network to enhance the fault diagnosis performance. Useful features are extracted from the online monitoring data by using Andrews function (also known as Andrews plot).
Shengkai Wang, Jie Zhang
wiley   +1 more source

Exploring the Chavy–Waddy–Kolokolnikov Model: Analytical Study via Recently Developed Techniques

Journal of Mathematics
This work explores the analytical soliton solutions to the Chavy–Waddy–Kolokolnikov equation (CWKE), which is a well-known equation in biology that shows how light-attracted bacteria move together.
Jan Muhammad, David Yaro, Usman Younas
doaj   +1 more source

Deep Quake Dynamics: A Multimodal Fault‐Aware Approach to Earthquake Magnitude and Occurrence Time Forecasting

Geoscience Data Journal, Volume 13, Issue 2, April 2026.
EQMT integrates earthquake catalog data, fault‐network geometry, engineered features, and graph embeddings in a unified framework for forecasting earthquake magnitude and occurrence time. The framework is designed to reflect inter‐fault spatial dependencies together with temporal seismic patterns, addressing limitations of approaches based only on ...
Kiymet Kaya, Murat Sahin, Furkan Mangir, Alp Baris Beydemir, Cenk Yaltirak, Sule Gunduz Oguducu   +5 more
wiley   +1 more source

Monitoring of water volume in a porous reservoir using seismic data: Validation of a numerical model with a field experiment

Near Surface Geophysics, Volume 24, Issue 2, Page 110-127, April 2026.
Abstract As global groundwater levels continue to decline rapidly, there is a growing need for advanced techniques to monitor and manage aquifers effectively. This study focuses on validating a numerical model using seismic data from a small‐scale experimental setup designed to estimate water volume in a porous reservoir.
Mahnaz Khalili, Bojan Brodic, Peter Göransson, Suvi Heinonen, Jan S. Hesthaven, Antti Pasanen, Marko Vauhkonen, Rahul Yadav, Timo Lähivaara   +8 more
wiley   +1 more source

Exploring Transfer Learning's Impact on the Explainability of Deep Learning Models for Wastewater Treatment Plants' Biogas Production

Expert Systems, Volume 43, Issue 4, April 2026.
ABSTRACT The growing reliance on fossil fuels for energy generation has raised concerns about their significant contribution to global warming and the associated risks of supply instability. Anaerobic Digestion (AD) within Wastewater Treatment Plants (WWTPs) offers a renewable alternative by producing biogas, while effective operational optimisation ...
Pedro Oliveira, Afonso Bessa, João Pereira, Sérgio Silva, Maria Salomé Duarte, Dalila Durães, Paulo Novais   +6 more
wiley   +1 more source