Results 171 to 180 of about 224,342 (242)

Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals

Magnetic Resonance in Medicine, Volume 96, Issue 6, Page 2795-2802, December 2026.
ABSTRACT Purpose To investigate whether synthetically generated fractal data can be used to train deep learning (DL) models for dynamic MRI reconstruction, thereby avoiding the privacy, licensing, and availability limitations associated with cardiac MR training datasets.
Anirudh Raman, Olivier Jaubert, Mark Wrobel, Tina Yao, Ruaraidh Campbell, Rebecca R Baker, Ruta Virsinskaite, Daniel Knight, Michael Quail, Jennifer A Steeden, Vivek Muthurangu   +10 more
wiley   +1 more source

Bifurcation and computational analysis of anthracnose virus spread in plants with splashing-rain under hypersensitive response. [PDF]

Sci Prog
Faiz K, Ahmad A, Dehingia K, Farman M, Sattar S, Bayram M.   +5 more
europepmc   +1 more source

Affordable, practical, and robust biomass estimation in rice with minimal equipment using deep learning‐based image segmentation

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Plant biomass measurements are critical for crop improvement and breeding programs. Such measurements rely on destructive and labor‐intensive methods that limit continuous measurements of biomass over plant growth stages and time. This study aimed to develop an inexpensive, nondestructive method for estimating aboveground biomass in rice ...
John R. Mitchell, Jai S. Rohila, Trevis D. Huggins, Sathish K. Ponniah, Jeremy D. Edwards   +4 more
wiley   +1 more source

An analytical exploration of dark and bright solitary wave solutions of time-fractional (3+1) -dimensional generalized Painlevé-type equation. [PDF]

Sci Rep
Khan M, Ali R, Alsulami IM, Alsulami A.
europepmc   +1 more source

Four Decades of Research at the MADE Site and Beyond: Advancing the Understanding and Modeling of Solute Transport in Heterogeneous Media

Reviews of Geophysics, Volume 64, Issue 4, December 2026.
Abstract Spatial heterogeneity, manifested as strong variability in hydraulic conductivity (K) within geological formations, exerts a fundamental control on groundwater flow and solute transport. Because K can vary over multiple orders of magnitude in complex three‐dimensional patterns, predicting contaminant plume migration remains a long‐standing ...
Zhilin Guo, Maosheng Yin, Peiyao Dong, Yong Zhang, Kewei Chen, Graham Fogg, Brian Berkowitz, Marco Dentz, Chunmiao Zheng   +8 more
wiley   +1 more source

Chaos of the new multiplicative logistic map. [PDF]

Sci Rep
Gao S, Kan B.
europepmc   +1 more source

A Machine Learning Framework for Flood Risk Assessment With Imbalanced Data

Journal of Flood Risk Management, Volume 19, Issue 4, December 2026.
ABSTRACT This study presents a machine‐learning framework for identifying areas of elevated flood risk using imbalanced, high‐dimensional geospatial datasets. Using the Mandra River Basin in Greece as a case study, an extreme gradient boosting (XGBoost) classifier was trained on 11 flood‐related features including hydrological, meteorological, soil and
Alexia Tsouni, Constantinos F. Panagiotou, Charalampos Konstantinou, Vasiliki Pagana, Diofantos Hadjimitsis, Nikos Mamassis, Demetris Koutsoyiannis, Charalampos Kontoes   +7 more
wiley   +1 more source

Fractal dimension-based multi-focus image fusion via distance-weighted regional energy in curvelet domain. [PDF]

Sci Rep
Lv M, Jia Z, Le W, Li L, Ma H.
europepmc   +1 more source

Proto‐Panic Modulation by Caffeine‐Proteinoid Complexes

Journal of Applied Polymer Science, Volume 143, Issue 41, November 5, 2026.
Caffeine–proteinoid microspheres synthesized by thermal polymerization exhibit compartmentalized drug loading with encapsulation efficiencies of 61%–82% and triphasic release kinetics. Electrochemical monitoring reveals multi‐scale oscillatory dynamics consistent with chaotic and damped harmonic behavior, while Boolean logic operations demonstrate ...
Panagiotis Mougkogiannis, Andrew Adamatzky   +1 more
wiley   +1 more source

Some generalized recurrence relations for nonlinear equations by using decomposition technique with application of fractal geometry. [PDF]

MethodsX
Shah FA, Hamdani SR, Tolasa FT, Haider I.   +3 more
europepmc   +1 more source