Results 151 to 160 of about 72,374 (248)

Rapid prediction of complex nonlinear dynamics in Kerr resonators using the recurrent neural network. [PDF]

Front Optoelectron
Huang T, Chen L, Lu M, Pan J, Xu C, Wang P, Shum PP.   +6 more
europepmc   +1 more source

The Orchestration and Harmonics of Biogeochemical Cycles in a Southeastern USA Saltmarsh

Journal of Geophysical Research: Biogeosciences, Volume 130, Issue 12, December 2025.
Abstract Saltmarshes provide vital ecosystem services, including coastal protection and habitat for fisheries. While feedbacks influencing vertical sediment accretion in marshes are well‐documented, including those between relative sea level and primary production, relationships among nutrient cycles, flooding, and primary production remain less ...
James T. Morris, Karen Sundberg
wiley   +1 more source

Optical solitons, bifurcation, and chaos in the nonlinear conformable Schrödinger equation with group velocity dispersion coefficients and second-order spatiotemporal terms. [PDF]

Sci Rep
Omar FM, Murad MAS, Mahmood SS, Malik S, Radwan T.   +4 more
europepmc   +1 more source

Local Wind Speed Forecasting at Short Time Horizons Based on Numerical Weather Prediction and Observations From Surrounding Stations

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract This study presents a hybrid neural network model for short‐term (1–6 hr ahead) surface wind speed forecasting, combining Numerical Weather Prediction (NWP) with observational data from ground weather stations. It relies on the MeteoNet data set, which includes data from global (ARPEGE) and regional (AROME) NWP models of the French weather ...
Roberta Baggio, Killian Pujol, Florian Pantillon, Dominique Lambert, Jean‐Baptiste Filippi, Jean‐François Muzy   +5 more
wiley   +1 more source

Nonlinear Dynamics and Applications. [PDF]

Entropy (Basel)
Amigó JM, Montani F.
europepmc   +1 more source

Nudging‐Based Data Assimilation Method for Error Correction Coupled With Huber Loss Functions and BiLSTM‐GRU Hybrids

Journal of Advances in Modeling Earth Systems, Volume 17, Issue 12, December 2025.
Abstract In machine learning (ML) algorithms, neural networks (NNs) can effectively learn the mapping between initial condition errors and system states through training. To reduce model errors in data assimilation, this work proposes an optimization strategy for the data assimilation (DA) process based on ML methods.
Yingjun Peng, Yulong Bai, Xufeng Wang, Qinghe Yu, Xiaoxin Yue   +4 more
wiley   +1 more source

Optical soliton solutions of the stochastic generalized nonlinear Schrödinger equation with arbitrary refractive index in Itô sense. [PDF]

Sci Rep
Trouba NT, Xu H, Alngar MEM, Shohib RMA, El-Meligy M, Zhu X, Sharaf M.   +6 more
europepmc   +1 more source

A calibration framework to improve mechanistic forecasts with hybrid dynamic models

Methods in Ecology and Evolution, Volume 16, Issue 12, Page 2992-3007, December 2025.
Abstract Process‐based, dynamic models are essential for extrapolating beyond current trends and anticipating biodiversity responses to global change. However, their practical adoption for forecasting purposes remains limited due to difficulties in calibrating them against data and structural inaccuracies in their mathematical formulations.
Victor Boussange, Pau Vilimelis Aceituno, Frank Schäfer, Loïc Pellissier   +3 more
wiley   +1 more source

Phase plane analysis and novel soliton solutions for the space-time fractional Boussinesq equation using two robust techniques. [PDF]

PLoS One
Younas T, Ahmad J.
europepmc   +1 more source

Advancing Flood Forecasting With Wavelet‐LSTM: The Role of Nonlinearity in Discharge Prediction

Journal of Flood Risk Management, Volume 18, Issue 4, December 2025.
ABSTRACT Discharge modeling utilizing novel deep learning techniques is highly recommended due to their high efficacy in modeling nonlinear time series. In this study, a hybrid discharge model is developed, termed wavelet‐based long short‐term memory (WLSTM), by integrating wavelet transform and Long Short‐Term Memory (LSTM).
Mahshid Khazaeiathar, Britta Schmalz
wiley   +1 more source