Results 81 to 90 of about 5,652,238 (291)

Distributed Multi-Robot Information Gathering under Spatio-Temporal Inter-Robot Constraints

open access: yesSensors, 2020
Information gathering (IG) algorithms aim to intelligently select the mobile robotic sensor actions required to efficiently obtain an accurate reconstruction of a physical process, such as an occupancy map, a wind field, or a magnetic field.
Alberto Viseras, Zhe Xu, Luis Merino
doaj   +1 more source

Effect of terahertz irradiation on DNA damage repair in living cells

open access: yesFEBS Open Bio, EarlyView.
We investigated the effect of terahertz (THz) wave irradiation on DNA double‐strand break (DSB) repair in living cells. We found that THz irradiation enhanced DSB repair at specific frequencies, whereas heat treatment inhibited it, indicating that this effect is nonthermal and frequency‐specific.
Yuya Ueno   +3 more
wiley   +1 more source

KDAC6 alters cell morphology and motility through positive and negative modulation of F‐actin distribution

open access: yesFEBS Open Bio, EarlyView.
KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph   +7 more
wiley   +1 more source

Leveraging Gaussian Processes in Remote Sensing

open access: yesEnergies
Power grid reliability is crucial to supporting critical infrastructure, but monitoring and maintenance activities are expensive and sometimes dangerous.
Emma Foley
doaj   +1 more source

Dynamic switching control of buck converters using unsupervised machine learning methods

open access: yesThe Journal of Engineering, 2020
This study presents the implementation of a new unsupervised machine learning based system called a buck converter controller using unsupervised machine learning (ABCML) to control the operation of a type of switching voltage regulators, commonly called ...
Brook W. Abegaz
doaj   +1 more source

Deep Convolutional Gaussian Processes [PDF]

open access: yes, 2020
We propose deep convolutional Gaussian processes, a deep Gaussian process architecture with convolutional structure. The model is a principled Bayesian framework for detecting hierarchical combinations of local features for image classification. We demonstrate greatly improved image classification performance compared to current Gaussian process ...
Heinonen Markus   +2 more
openaire   +3 more sources

Using fluorescence fluctuation spectroscopy to quantify molecular dynamics within cells

open access: yesFEBS Open Bio, EarlyView.
Microscopy techniques like fluorescence correlation spectroscopy (FCS) and number and brightness analysis (N&B) allow to quantify concentrations, diffusion rates, and oligomerization of fluorescently labeled molecules in the living cell. In this protocol the principles of how to set up these types of experiments are described including calibration ...
Mark A. Hink
wiley   +1 more source

Sparse Simulation of Autoregressive Gaussian Processes

open access: yesMathematics
This study proposes a novel and improved numerical approximation of the simulation of Gaussian process autoregressive models. As a Bayesian nonparametric regression method, Gaussian process models offer the unique advantage of providing closed-form ...
Tadej Krivec, Juš Kocijan
doaj   +1 more source

The Use of Genetic Algorithms for Searching Parameter Space in Gaussian Process Modeling

open access: yesJournal of Telecommunications and Information Technology, 2015
The aim of the paper is to present the possibilities of modeling the experimental data by Gaussian processes. Genetic algorithms are used for finding the Gaussian process parameters.
Agnieszka Krok
doaj   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani   +10 more
wiley   +1 more source

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