Results 171 to 180 of about 80,641 (302)

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

How the interplay between power concentration, competition, and propagation affects the resource efficiency of distributed ledgers. [PDF]

PNAS Nexus
Barucca P, Campajola C, Xu J.
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
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, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Spatiotemporal prediction of mining-induced surface subsidence using integrated D-InSAR and boltzmann time function models. [PDF]

PLoS One
Zhou W, Zou Y, Chai H, Ma M, Cai L, Hu J.   +5 more
europepmc   +1 more source

A Computational Approach for Biomimetic Design of Liver‐On‐A‐Chip

Advanced Intelligent Discovery, EarlyView.
A biomimetic liver‐on‐a‐chip with antiparallel perfusion was designed using COMSOL‐guided simulation to replicate hepatic acinus transport. Full‐scale modelling revealed diffusion‐dominated, length‐dependent nutrient gradients and low‐shear conditions.
Zhenxu Yang, Qiankun Yin, Qingxin Liu, Zhejun Xu, Ye Zhang, Christopher Vega‐Sánchez, Xiaochen Liu, Daniele Vigolo, Jiao Jiao Li, Ken‐Tye Yong   +9 more
wiley   +1 more source

Predictive Modeling of Mining Laboratory Effluent Contamination Using LSTM-Attention Networks: A Case Study from the Haut-Katanga Copperbelt. [PDF]

Environ Geochem Health
Musala MK, Matthieu MT, Mugaruka MA, Mwambila FK, Ilunga HN, Kyongo JM, Adesola GO, Tshamala AK.   +7 more
europepmc   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
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, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Mining Association Rules in Time-series Databases

, 2007
Discovering association rules can reveal the cause-effect relationships among events in a time-series database. The problem can be transformed to finding frequent sequential patterns. However, most of sequential pattern mining algorithms proposed are not
Li, Jen-Feng, 李任峰
core  

Editorial: Advanced Time Series Analysis in Geosciences

Frontiers in Earth Science, 2021
Flavio Cannavò, Andrea Cannata, Andrea Cannata, Reik V. Donner, Mikhail Kanevski   +4 more
doaj   +1 more source

VMD-LSTM based water level prediction of aquifer in mining working face. [PDF]

Sci Rep
Zhang G, Jiao B, Ji X, Chen J, Fan M, Zhao L, Zhou G.   +6 more
europepmc   +1 more source