Results 181 to 190 of about 751,571 (292)
Data mining from satellite image time series
Les images satellites représentent de nos jours une source d’information incontournable. Elles sont exploitées dans diverses applications, telles que : la gestion des risques, l’aménagement des territoires, la cartographie du sol ainsi qu’une multitude d’autre tâches.
openaire +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Genome-resolved metagenomics and evolutionary analysis reveal conserved metabolic adaptations in extremophile communities from a copper mining tailing. [PDF]
Rojas MA +11 more
europepmc +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Cloud-based slope risk monitoring and early warning system for open-pit coal mines: a case study of Zhonglian Runshi. [PDF]
Dong X +7 more
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Retracted: Time Series Symbolization Method for the Data Mining K-Means Algorithm
Discrete Dynamics in Nature and Society
doaj +1 more source
Research on missing value prediction of measured ERT data for coal mine based on a GRNN algorithm. [PDF]
Wang P, Yi X, Wang S.
europepmc +1 more source
Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç +2 more
wiley +1 more source

