Maximum principles in context of pdes

Results 51 to 60 of about 11,474 (125)

AI Applications in the Environmental Control of Controlled Environment Agriculture in the Digital Age

Modern Agriculture, Volume 3, Issue 2, December 2025.
Artificial intelligence (AI) is reshaping controlled environment agriculture (CEA) by powering climate prediction, yield forecasting, pest and disease detection, and intelligent control systems. These innovations enhance efficiency, resilience, and sustainability while enabling multiscale integration with renewable energy and existing infrastructures ...
Wei‐Han Chen +3 more
wiley +1 more source

A Comparative Study of Physics‐Informed and Data‐Driven Neural Networks for Compound Flood Simulation at River‐Ocean Interfaces: A Case Study of Hurricane Irene

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Simulating compound flooding (CF) at the river‐ocean interface within large‐scale Earth System Models (ESMs) presents significant challenges due to complex interactions between river discharge, storm surge, and tides. This study assesses the comparative advantages of physics‐informed and data‐driven machine learning (ML) approaches for ...
Dongyu Feng +5 more
wiley +1 more source

A Dynamic and Constrained Machine Learning Framework for CO2 Saturation Prediction in Geological Carbon Storage Reservoirs

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Traditional machine learning (ML) methods often underutilize physical principles, which can lead to uncertain or unrealistic predictions, particularly when models are trained on limited data sets. We introduced a new ML framework designed to forecast CO2 migration patterns in geological carbon storage (GCS) reservoirs. Using the Illinois Basin–
Xiaoming Zhang +4 more
wiley +1 more source

Truncated Floquet–Bloch transform for computing the spectral properties of large finite systems of resonators

Transactions of the London Mathematical Society, Volume 12, Issue 1, December 2025.
Abstract In subwavelength physics, a challenging problem is to characterise the spectral properties of finite systems of subwavelength resonators. In particular, it is important to identify localised modes as well as bandgaps and associated mobility edges.
Habib Ammari, Silvio Barandun, Alexander Uhlmann +2 more
wiley +1 more source

Robust Mammogram Denoising Under Extreme Impulse Noise via FLBMF‐Selective Median‐TV Hybrid Scheme

Engineering Reports, Volume 7, Issue 10, October 2025.
(a–g) Original, degraded, and denoised DDSM Mammogram A_0042_1.RIGHT_CC.jpg, S, and P noise densities: 10%, 20%, 40%, 60%, 70%, 80%, and 90%. ABSTRACT Critical for the early detection and precise diagnosis of breast cancer, mammogram imaging risks encountering extreme impulse noise which, in some cases, occurs at levels between 60% and 90%.
Benard Nyangena Kiage +2 more
wiley +1 more source

Targeted Therapies in the Most Common Advanced Solid Tumors, Drug Resistance, and Counteracting Progressive Micrometastatic Disease: The Next Frontier of Research

MedComm, Volume 6, Issue 10, October 2025.
In TME, undetectable DCCs (panel A) join with a low tumor burden along with low immune suppression, that favor successful immune manipulation through immune suppression inhibiting immune‐therapy. This moves the immune balance toward the immune response and likely makes more stable the dormant state of DCCs in the unstable metastatic niche and/or allows
Andrea Nicolini +3 more
wiley +1 more source

Searching for Universality of Turbulence in the Earth's Magnetosphere

Journal of Geophysical Research: Space Physics, Volume 130, Issue 10, October 2025.
Abstract Turbulence in space plasmas remains a fundamental challenge, and Earth's magnetosphere (MSP) offers a natural laboratory for its study. Using high‐resolution magnetic field data from the Magnetospheric Multiscale (MMS) mission, we extend a stochastic Markovian framework to analyze turbulence across 10 diverse magnetospheric regions, including ...
Dariusz Wójcik, Wiesław M. Macek
wiley +1 more source

Systemic Robustness: A Mean‐Field Particle System Approach

Mathematical Finance, Volume 35, Issue 4, Page 727-744, October 2025.
ABSTRACT This paper is concerned with the problem of capital provision in a large particle system modeled by stochastic differential equations involving hitting times, which arises from considerations of systemic risk in a financial network. Motivated by Tang and Tsai, we focus on the number or proportion of surviving entities that never default to ...
Erhan Bayraktar +3 more
wiley +1 more source

High‐speed railway track geometry robust maintenance with Bayesian deep learning‐enhanced physical‐informed neural networks

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 24, Page 3934-3952, 6 October 2025.
Abstract Millimeter‐level active control of track geometry irregularity (TGI) is crucial for intelligent maintenance of high‐speed railways. To address the efficiency limitations of existing time‐domain characteristics‐dominated TGI maintenance scheme design methods and vehicle–track coupled dynamics evaluation models, this paper proposes a new ...
Huakun Sun +6 more
wiley +1 more source

Nonlinear Systems of PDEs Admitting Infinite‐Dimensional Lie Algebras and Their Connection With Ricci Flows. II: The Two‐Dimensional Space Case

Studies in Applied Mathematics, Volume 155, Issue 4, October 2025.
ABSTRACT Motivated by previous results in special cases associated with Ricci flows, all possible two‐components evolutions systems of (1+2)‐dimensional second‐order partial differential equations (PDEs) admitting an infinite‐dimensional Lie algebra are constructed. It is shown that a natural generalization of this Lie algebra to the higher‐dimensional
Roman Cherniha, John R. King
wiley +1 more source