Results 121 to 130 of about 602,374 (329)
A Novel Online Sequential Extreme Learning Machine for Gas Utilization Ratio Prediction in Blast Furnaces [PDF]
, 2017 Yanjiao Li +4 more
openalex +1 more source
Recent Advances in Collective Behaviors of Micro/Nanomotor Swarms
Advanced Materials, EarlyView.This review describes the driving forces behind collective motion, explores the self‐organization of micro/nano swarms across zero‐dimensional (0D), one‐dimensional (1D), two‐dimensional (2D), and three‐dimensional (3D) spaces, and highlights their potential in drug delivery, environmental monitoring, and smart devices.
Siwen Sun +4 more
wiley +1 more source
A Novel Hybrid Extreme Learning Machine Approach Improved by K Nearest Neighbor Method and Fireworks Algorithm for Flood Forecasting in Medium and Small Watershed of Loess Region [PDF]
, 2019 Juanhui Ren +3 more
openalex +1 more source
Sequential learning for extreme learning machine [PDF]
, 2019 A novel sequential learning algorihtm for training Single Hidden Layer Feedforward Neural Network (SLFN), Online Sequential Extreme Learning Machine (OS-ELM) is proposed. OS-ELM is based on the combination of Extreme Learning Machine (ELM) and the recursive least-squares (RLS) algorithm.
openaire +2 more sources
Ferroelectrics Hybrids: Harnessing Multifunctionality of 2D Semiconductors in the Post‐Moore Era
Advanced Materials, EarlyView.In this Review, the state of art of ferroelectric hybrid systems—combining ferroelectrics, 2D semiconductors, and molecular switches is presented—as next‐generation platforms for high‐density, multifunctional electronics. By discussing 2D FeFET applications, nanoscale material downscaling, M3D integration, and emerging ferroelectrics, it highlights ...
Haixin Qiu +3 more
wiley +1 more source
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Журнал інженерних наукThe article considers the machine learning method for a hand prosthesis control system that recognizes electromyographic signals with a non-invasive recording system.
Anatolii Dovbysh +4 more
doaj +1 more source
A Prediction Model of Health Development Based on Linear Sequential Extreme Learning Machine Algorithm Matrix [PDF]
, 2022 Suli Cheng, Shuzhi Liu
openalex +1 more source
Advanced Materials, EarlyView.Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source