Results 191 to 200 of about 2,877,467 (378)

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

A New Variance-Covariance Matrix for Improving Positioning Accuracy in High-Speed GPS Receivers. [PDF]

Sensors (Basel), 2021
Rahemi N, Mosavi MR, Martín D.
europepmc   +1 more source

High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy [PDF]

Lam Ngo, Huong Ha, Jeffrey Chan, Vu Nguyen, Hongyu Zhang   +4 more
openalex   +1 more source

Impact of a time-dependent background error covariance matrix on air quality analysis [PDF]

, 2012
Elodie Jaumouillé, S. Massart, Andrea Piacentini, D. Cariolle, Vincent‐Henri Peuch   +4 more
openalex   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Estimation of the number of spiked eigenvalues in a covariance matrix by bulk eigenvalue matching analysis. [PDF]

J Am Stat Assoc, 2023
Ke ZT, Ma Y, Lin X.
europepmc   +1 more source

Covariance Matrix Estimation for Positively Correlated Assets [PDF]

Weilong Liu, Yanchu Liu
openalex   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

Intradialytic hypotension prediction using covariance matrix-driven whale optimizer with orthogonal structure-assisted extreme learning machine. [PDF]

Front Neuroinform, 2022
Li Y, Zhao D, Liu G, Liu Y, Bano Y, Ibrohimov A, Chen H, Wu C, Chen X.   +8 more
europepmc   +1 more source

Limiting spectral distribution of a symmetrized auto-cross covariance matrix [PDF]

, 2014
Baisuo Jin, Chen Wang, Zhidong Bai, K. Krishnan Nair, Matthew Harding   +4 more
openalex   +1 more source