Results 201 to 210 of about 5,879,357 (336)

Physical activity phenotypes in endometriosis using unsupervised learning via functional mixture models. [PDF]

BMC Womens Health
Tricoche BT, Caceres BA, Shaw LJ, Garber CE, Konigorski S, Kolli S, Fuchs TJ, Ensari I.   +7 more
europepmc   +1 more source

Modeling the Physical Characteristics of Ultrasound Pretreated Dialium guineense Whole Fruits Using Neural Network Pattern Recognition Model

AgriFood: Journal of Agricultural Products for Food, EarlyView.
The study of Physical characteristics of agricultural materials is necessary for the design of processes and machines for food production. Length, width, thickness, sphericity, unit mass, and aspect ratio were the physical characteristics of ultrasound pretreated Dialium guineense whole fruits subjected to Neural network modeling.
Mfrekemfon Akpan, Uduak George, Okon Esua   +2 more
wiley   +1 more source

Unsupervised learning of temporal regularities in visual cortical populations. [PDF]

Nat Commun
Pojoga S, Andrei A, Dragoi V.
europepmc   +1 more source

Unsupervised Machine Learning Control Techniques for Solving the General Synthesis of Control System Problem

openalex   +1 more source

Import Wheat Tenders and the Effects of the Russian Invasion

Agribusiness, EarlyView.
ABSTRACT Risk and volatility for many commodities escalated sharply following the Russian invasion of Ukraine, creating numerous uncertainties for trading firms and importers. The purpose of this study is to analyze the bidding behavior in Egyptian wheat import tenders in the pre‐ and post‐invasion periods.
William W. Wilson, Sumadhur Shakya, Isaac Dubovoy   +2 more
wiley   +1 more source

Decoding global precipitation processes and particle evolution using unsupervised learning. [PDF]

Sci Adv
King F, Pettersen C, Dolan B, Shates J, Posselt D.   +4 more
europepmc   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

More Sophisticated Is Not Always Better: A Comparison of Similarity Measures for Unsupervised Learning of Pathways in Biomolecular Simulations. [PDF]

J Phys Chem B
Jäger M, Wolf S.
europepmc   +1 more source

Dimensionality reduction in unsupervised learning of conditional Gaussian networks

, 2001
José M. Peña, José A. Lozano, Pedro Larrañaga, Iñaki Inza   +3 more
openalex   +2 more sources

Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems [PDF]

, 2019
Leah Bar, Nir Sochen
openalex   +1 more source