BLDC motor's speed and torque modelling through hybrid machine learning based approach of nonlinear autoregressive neural network with exogenous inputs (NARX-NN). [PDF]
Khan MA, Ali H, Baig DE, Albogamy FR.
europepmc +1 more source
ABSTRACT Aim To explore challenges parents of children with cancer encounter while providing complex medical care at home. Methods Design: Cross‐sectional convergent mixed‐methods study. Instruments: Questionnaire and open interviews that mirrored and complemented each other.
Rachel Klausner Shyman +5 more
wiley +1 more source
Analytical prediction of electromagnetic performance for surface-embedded permanent magnet in-wheel machines considering iron's nonlinearity. [PDF]
Zhang H +5 more
europepmc +1 more source
Loss analysis for the hybrid linear switched reluctance motor with no cogging force
N. Cheung, E. Cheng
semanticscholar +1 more source
Abstract Slow, aseismic fault slip has emerged as a significant contributor to the seismic cycle. However, whether slow and fast slip arise from similar physical processes remains unresolved, due to detection biases affecting noisy surface measurements and the analysis of the source properties of slow slip.
Giuseppe Costantino +3 more
wiley +1 more source
Micromanufacturing Process of Complex 3D FeCo Core Microwindings for Magnetic Flux Modulation in Micromotors. [PDF]
Diez-Jimenez E +9 more
europepmc +1 more source
Partitioned Stator Switched Flux Machine: Novel Winding Configurations. [PDF]
Irfan M +5 more
europepmc +1 more source
A dual‐head airbrush‐based spraying device, combined with a fibrinogen bioink enriched with glycosaminoglycans and collagen, enables the delivery of biomaterials and cells to promote wound healing. This system demonstrates effective skin regeneration in vitro and in vivo, with comparable results to autografts.
Paula Pleguezuelos‐Beltrán +7 more
wiley +1 more source
A novel double stator hybrid-excited Halbach permanent magnet flux-switching machine for EV/HEV traction applications. [PDF]
Ning S +4 more
europepmc +1 more source
Electronic Nose for Indoor Mold Detection and Identification
This study explores the potential of a SnO2 nanowire‐based chemiresistive electronic nose not only to detect but also to identify two common indoor mold species, Stachybotrys chartarum and Chaetomium globosum on two different growth substrates. In a laboratory setup, the electronic nose displays high classification performance using optimized linear ...
Hankun Yang +3 more
wiley +1 more source

