Results 141 to 150 of about 23,170 (262)
Understanding how global change reshapes mountain plant communities is essential for predicting biodiversity and ecosystem function in a warming world. Using resurvey data from over 1400 non‐forest vegetation plots across the European Alps, we show that community‐weighted means of key functional traits capturing important dimensions of plant ecological
Sergey Rosbakh +2 more
wiley +1 more source
A Hybrid Lung and Colon Histopathological Image Classification Framework Using MobileNetV3-Small Deep Features and Differential Evolution Optimization. [PDF]
Naveed MU +5 more
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
A Survey of Lattice-Based Physical-Layer Security for Wireless Systems with <i>p</i>-Modular Lattice Constructions. [PDF]
Khodaiemehr H +5 more
europepmc +1 more source
Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework
ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim +3 more
wiley +1 more source
Finite Time Blow-Up for the Hypodissipative Navier Stokes Equations with a Force in L t 1 C x 1 , ϵ ∩ L t ∞ L x 2 . [PDF]
Córdoba D, Martínez-Zoroa L, Zheng F.
europepmc +1 more source
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen +1 more
wiley +1 more source
Structurally Unstable Quadratic Vector Fields of Codimension Two
This paper is part of a series of works whose ultimate goal is the complete classification of phase portraits of quadratic differential systems in the plane modulo limit cycles. It is estimated that the total number may be around 2000, so the work to find them all must be split in different papers in a systematic way so to assure the completeness of ...
Artés Ferragud, Joan Carles|| +2 more
openaire +4 more sources
<i>H</i>-linear magnetoresistance in NbSe<sub>2</sub> due to impeded cyclotron motion. [PDF]
Kool A +7 more
europepmc +1 more source
ABSTRACT Retaining walls are key geotechnical components of road infrastructure, whose seismic performance directly affects the resilience of transportation networks. Despite their importance, seismic fragility models for retaining walls available in the literature refer only to specific case studies.
Amendola C., Conti R., de Silva F.
wiley +1 more source

