Results 151 to 160 of about 298,220 (292)

Eddy-Covariance Software TK3

, 2015
Matthias Mauder, Thomas Foken
openalex   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

DACL-Net: A Dual-Branch Attention-Based CNN-LSTM Network for DOA Estimation. [PDF]

Sensors (Basel)
Xu W, Yi S.
europepmc   +1 more source

Comparison of the covariance analysis results of the quest and the triad methods

, 2014
L. М. Ryzhkov, Д. І. Степуренко   +1 more
openalex   +1 more source

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

Non-Dispersive Gas Analyzer for H₂O and CO₂ Flux Analysis by the Eddy Covariance Method. [PDF]

Sensors (Basel)
Fufurin I, Karpov I, Kosterova A, Bessonov V, Yaroslavtsev A, Seregin I, Morozov A.   +6 more
europepmc   +1 more source

Monogenic Scale Space Based Region Covariance Matrix Descriptor for Face Recognition

, 2012
M. Sharmila Kumari
openalex   +1 more source

Accelerating Surface Composition Characterization of Thin‐Film Materials Libraries Using Multi‐Output Gaussian Process Regression

Advanced Intelligent Discovery, EarlyView.
To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen, Florian Lourens, Alfred Ludwig   +2 more
wiley   +1 more source

Correction: Abnormal gray matter volume and structural covariance network of basal ganglia-limbic system in patients with major depression disorder. [PDF]

Front Neurol
Shao X, Zheng R, Han S, Chen Y, Zhang Y.
europepmc   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source