Results 181 to 190 of about 12,289 (264)

Techniques for mitigating overfitting in machine learning: a comprehensive review, taxonomy, and practical guide. [PDF]

Front Artif Intell
Sheppert AP.
europepmc   +1 more source

The Hydrogenation of MNi3 Compounds (M = Si, Ge, Sn, Sb, Zr, V, Fe)

European Journal of Inorganic Chemistry, EarlyView.
Hexagonal Ni3Sn takes up hydrogen to form α‐Ni3SnHx (filled Ni3Sn type, ΔV = 0.9%), followed by a transition to the cubic β‐Ni3SnHy (filled AuCu3 type, ΔV = 1.1% with respect to pristine Ni3Sn), while MNi3 (M = Zr, Si, Sb) compounds show no reaction toward hydrogen and MNi3 (M = V, Fe, Ge) compounds only a minute hydrogen uptake.
André Götze, Mihai I. Sturza, Leonie Jurkschat, Önder F. Serhadli, Anastasiya Yu. Polevik, Alexey N. Kuznetsov, Holger Kohlmann   +6 more
wiley   +1 more source

A New High‐Pressure Polymorph of MgTe2O5 with a Unique Crystal Structure

European Journal of Inorganic Chemistry, EarlyView.
MgTe2O5 synthesized under special high‐pressure/high‐temperature conditions of 8 GPa and 800 °C exhibits a unique crystal structure consisting of fused sechser rings built from pseudooctahedral [TeO5]6– and trigonal‐pyramidal [TeO3]2– units. The single‐crystal structure and temperature‐dependent powder diffraction data are presented.
Benjamin J. Pullicino, Gunter Heymann
wiley   +1 more source

Rapid and Accurate Shape-Sensing Method Using a Multi-Core Fiber Bragg Grating-Based Optical Fiber. [PDF]

Sensors (Basel)
Violakis G, Vardakis N, Zhang Z, Angelmahr M, Polygerinos P.   +4 more
europepmc   +1 more source

Effect of rotational field on thermo-acoustic and optical wave propagation in hydrodynamic semiconductors. [PDF]

Sci Rep
Alshehri HM, Lotfy K.
europepmc   +1 more source

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb, Brunno Machado de Campos, Wallace Souza Loos, Marcelo Eduardo Ramos Barbosa, Marina Koutsodontis Machado Alvim, Gabriel Chagas Lutfala Paulino, Enrico Ghizoni, Francesco Pucci, Samuel Worrell, Clarissa Lin Yassuda, Roberto Medeiros de Souza, Lara Jehi, Fernando Cendes   +12 more
wiley   +1 more source

Enhancing privacy-preserving brain tumor classification with adaptive reputation-aware federated learning and homomorphic encryption. [PDF]

PeerJ Comput Sci
Ghanta S, Boyapati P, Biswas S, Pradhan AK, Mohanty SP.   +4 more
europepmc   +1 more source

Learning Rocking Dynamics From Sparse Shake‐Table Data With Interpretable Physics‐Informed Neural Networks

Earthquake Engineering &Structural Dynamics, EarlyView.
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, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Characterizing the near-road NO_x gradient for exposure assessment purposes. [PDF]

Environ Pollut Manag
Levasseur JL, Meng Q, Rappazzo KM, Byrley P.   +3 more
europepmc   +1 more source

Surrogate‐Based Time‐Continuous Seismic Fragility Assessment of Corrosion‐Deteriorated Reinforced Concrete Bridges Under Climate Change

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Seismic fragility assessment of reinforced concrete (RC) bridges exposed to corrosive environments must reliably capture time‐dependent deterioration impacts. Climate change compounds this challenge through nonstationary temperature and humidity variations that accelerate bridge corrosion.
Yexiang Yan, Yazhou Xie
wiley   +1 more source