Results 111 to 120 of about 1,537 (209)

A Lightweight and Erudite Automated BiLSTM‐Based Multi‐Cycle GAN for Retinal Blood Vessel and Optic Disc Segmentation in Fundus Images

Engineering Reports, Volume 8, Issue 8, August 2026.
This graphical abstract presents a lightweight and automated BiLSTM‐based Multi‐Cycle GAN framework for retinal blood vessel and optic disc segmentation in fundus images. Initially, fundus images undergo preprocessing, including green channel extraction, denoising, resizing, and dataset splitting.
Rasmita Kumari Mohanty, Amaravarapu Pramod Kumar, Yuvaraju Macha, Agraharam Siva Kumar, J. Srinivas, G. Shyama Chandra Prasad, Rajesh Kumar Verma, Shashi Kant   +7 more
wiley   +1 more source

Enhancing Agricultural Management With Internet of Things and Deep Learning

Engineering Reports, Volume 8, Issue 8, August 2026.
The proposed smart IoT‐based farming framework integrates IoT sensors, machine learning, and intelligent automation for crop recommendation, soil fertility analysis, weed detection, pest detection, and smart irrigation. The system combines real‐time sensor data with AI‐driven decision‐making to improve crop productivity, optimize water and fertilizer ...
Chinmaya Prasad Mohanty, Aparna Mohanty, G. Sumathi   +2 more
wiley   +1 more source

Physics Constraint‐Guided Neural Network for Solving Partial Differential Equations

Engineering Reports, Volume 8, Issue 8, August 2026.
A Physics Constraint‐Guided Network (PCGN) is proposed to solve partial differential equations by integrating physical encoding, adaptive residual balancing, and constraint projection. The framework enables stable constraint propagation, improves physical consistency, and achieves higher accuracy and robustness compared with existing neural network ...
Zhihui Hou, Yaxu Peng
wiley   +1 more source

Nonlinear Kinematic Depth Inversion Coupled With a Spectral Wave Model

Journal of Geophysical Research: Oceans, Volume 131, Issue 8, August 2026.
Abstract We present a bidirectional coupling between a nonlinear kinematic depth inversion method and a phase‐averaged spectral wave model to evaluate the influence of wave nonlinearity over gently sloping nearshore bathymetry. Time‐resolved wave imagery provides spatially varying frequency–wavenumber fields, whereas the simulated significant wave ...
Byunguk Kim, Yong Sung Park, Hyoseob Noh, Seungjun Baek, Juyeong Hur   +4 more
wiley   +1 more source

Ageostrophic Velocities of Curved Ocean Fronts

Journal of Geophysical Research: Oceans, Volume 131, Issue 8, August 2026.
Abstract Ageostrophic velocities at ocean fronts play a key role in ventilating the upper ocean. The overturning circulation driven by cross‐front ageostrophic flow is widely recognized as the major mechanism of vertical transport, but the role of along‐front ageostrophic velocities remains underrepresented in existing theory.
Weiguang Wu
wiley   +1 more source

Linear stability and dispersive soliton propagation in nonlinear media subject to parabolic phase modulation. [PDF]

Sci Rep
Morgan M, Ahmed HM, Sayed M, Soliman M.
europepmc   +1 more source

Modeling Transient Flow in Heterogeneous Aquifers With the Mixed Pressure‐Velocity Formulation of Physics Informed Neural Networks

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Physics‐Informed Neural Networks (PINNs) have emerged as a powerful framework for modeling groundwater flow using deep learning neural networks, particularly in scenarios where traditional data‐driven approaches are limited by the scarcity of data.
Adhish Virupaksha, Marwan Fahs, Hussein Hoteit, Thomas Nagel, François Lehmann   +4 more
wiley   +1 more source

Analytical investigation of soliton dynamics in the Fokas-Lenells equation with generalized self-phase modulation and nonlinear dispersion. [PDF]

Sci Rep
Rehman HU, Khushi K, Yildirim Y, Allahyani SA, Gusu DM.   +4 more
europepmc   +1 more source

Multi‐Model Ensemble and Reservoir Computing for River Discharge Prediction in Ungauged Basins

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Despite the necessity for accurate flood prediction, many regions lack sufficient river discharge observations. Although numerous models for daily river discharge prediction exist, achieving high accuracy, interpretability, and efficiency under data‐scarce conditions remains a major challenge.
Mizuki Funato, Yohei Sawada
wiley   +1 more source

Learning Vertical Coordinates via Automatic Differentiation of a Dynamical Core

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract Terrain‐following coordinates in atmospheric models often imprint their grid structure onto the solution, particularly over steep topography, where distorted coordinate layers can generate spurious horizontal and vertical motion. Standard formulations, such as hybrid or SLEVE coordinates, mitigate these errors by using analytic decay functions
Tim Whittaker, Seth Taylor, Elsa Cardoso‐Bihlo, Alejandro Di Luca, Alex Bihlo   +4 more
wiley   +1 more source