Results 101 to 110 of about 2,018 (260)

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Bio‐inspired nanophotonics: Structural color, chirality, and resonance metasurfaces

InfoMat, EarlyView.
A butterfly‐wing‐inspired anisotropic plasmonic flatband resonant metasurface. Insets, photo of the butterfly, Sasakia charonda, and the SEM image of its wing scale (above); the SEM image of the metasurface (below). Abstract The dazzling colors of butterfly wings and hummingbird feathers are not painted with pigments, but crafted by nature's invisible ...
Weihan Liu, Yao Liang, Din Ping Tsai
wiley   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross‐Linking

Mass Spectrometry Reviews, EarlyView.
ABSTRACT The exploration of protein structure and function stands at the forefront of life science and represents an ever‐expanding focus in the development of proteomics. As mass spectrometry (MS) offers readout of protein conformational changes at both the protein and peptide levels, MS‐based structural proteomics is making significant strides in the
Haiyan Lu, Zexin Zhu, Lauren Fields, Hua Zhang, Lingjun Li   +4 more
wiley   +1 more source

EStore: A User-Friendly Encrypted Storage Scheme for Distributed File Systems. [PDF]

Sensors (Basel), 2023
Chen Y, Dong G, Xu C, Hao Y, Zhao Y.
europepmc   +1 more source

The Expanding Landscape of Microbiota Medicine: Indications, Therapeutic Modalities, and the Path Towards Integrative Microbiome‐Targeting Healthcare

Microbiota Medicine Research, EarlyView.
ABSTRACT The growing recognition of the microbiome's role in human health has propelled the emergence of microbiota medicine—a new discipline integrating microbiology, multi‐omics, and clinical science. Advances in sequencing, data integration, and interventions such as fecal microbiota transplantation (FMT) have transitioned the field from ...
Min Dai, Yisha Lin, Renyou Gan, Xiaotao Shen, Shin Young Park, Sunjae Lee, Qi Su   +6 more
wiley   +1 more source

Autonomy for MRI Field Cameras: Synchronization, Self‐Calibration, and Sequence Detection

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose This work aims to provide a workflow for operating NMR field probes in MR scanners independently of pulse programming, scanner TTL trigger pulses and dedicated calibration sequences. Methods An independent timing system and limited prior knowledge about relative probe positions enable synchronous field measurement, probe position ...
Oskar Björkqvist, Klaas P. Pruessmann
wiley   +1 more source

Nested Selves: Self‐Organization and Shared Markov Blankets in Prenatal Development in Humans

Topics in Cognitive Science, EarlyView., 2023
Abstract The immune system is a central component of organismic function in humans. This paper addresses self‐organization of biological systems in relation to—and nested within—other biological systems in pregnancy. Pregnancy constitutes a fundamental state for human embodiment and a key step in the evolution and conservation of our species. While not
Anna Ciaunica, Michael Levin, Fernando E. Rosas, Karl Friston   +3 more
wiley   +1 more source

Neural network with signal parameters featuring for near‐surface velocity model building

Near Surface Geophysics, EarlyView.
Abstract This study presents a method that integrates spectral recomposition (SR) with a neural network to improve near‐surface seismic analysis. The approach incorporates SR‐derived wavelet‐timing attributes into a fully convolutional network (FCN) to enhance the characterization of shallow subsurface structures. Field evaluation was conducted using S‐
Nelson Ricardo Coelho Flores Zuniga
wiley   +1 more source