Results 261 to 270 of about 418,008 (299)

Quantitative detection of zearalenone in wheat grains based on near-infrared spectroscopy.

Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy, 2022
Zearalenone (ZEN) can easily contaminate wheat, seriously affecting the quality and safety of wheat grains. In this study, a near-infrared (NIR) spectroscopy detection method for rapid detection of ZEN in wheat grains was proposed.
Hongwei Ning, Jiawei Wang, Hui Jiang, Quansheng Chen   +3 more
semanticscholar   +1 more source

Deep reservoir computing based on self-rectifying memristor synapse for time series prediction

Applied Physics Letters, 2023
Herein, a self-rectifying resistive switching memristor synapse with a Ta/NbOx/Pt structure was demonstrated for deep reservoir computing (RC). The memristor demonstrated stable nonlinear analog switching characteristics, with a rectification ratio of up
Rui Wang, Qi Liang, Saisai Wang, Yaxiong Cao, Xiao-hua Ma, Hong Wang, Yue Hao   +6 more
semanticscholar   +1 more source

Rapid Lithium-Ion Battery Impedance Measurements Using Binary Sequence With Optimized Frequency Components

IEEE transactions on industrial electronics (1982. Print)
Battery impedance provides rich information that facilitates battery state estimation and failure diagnosis, yet the current impedance measurement techniques are quite laborious and difficult to implement.
Jinhao Meng, Xinghao Du, Jichang Peng, Mingqiang Lin, Zhengxiang Song   +4 more
semanticscholar   +1 more source

Benchmarking Machine Learning Algorithms on Blood Glucose Prediction for Type I Diabetes in Comparison With Classical Time-Series Models

IEEE Transactions on Biomedical Engineering, 2020
Objective: This paper aims to compare the performance of several commonly known machine-learning (ML) models versus a classic Autoregression with Exogenous inputs (ARX) model in the prediction of blood glucose (BG) levels using time-series data of ...
Jinyu Xie, Qian Wang
semanticscholar   +1 more source

Wind turbine and PV power prediction using a deterministic data-driven model with variational mode decomposition preprocessing

Transactions of the Institute of Measurement and Control
This study develops a method for accurately forecasting solar radiation (SR), wind speed (WS), and air temperature (AT) for the coming 24 hours in order to predict energy production from photovoltaic (PV) panels and wind turbines (WT) in positive energy ...
S. El Bakali, Hamid Ouadi, S. Gheouany
semanticscholar   +1 more source

Visual Acuity as a Function of Zernike Mode and Level of Root Mean Square Error

Optometry and Vision Science, 2003
R. Applegate, C. Ballentine, H. Gross, E. Sarver, Charlene A Sarver   +4 more
semanticscholar   +1 more source

Cumulative Spike Train Outperforms the Root-Mean-Square Metric in Muscle Excitation Estimation from Dynamic High-Density EMG

Converging Clinical and Engineering Research on Neurorehabilitation III, 2018
A. Holobar, V. Glaser
semanticscholar   +1 more source

Prediction of UCS of fine-grained soil based on machine learning part 1: multivariable regression analysis, gaussian process regression, and gene expression programming

Multiscale and Multidisciplinary Modeling Experiments and Design, 2023
Jitendra Khatti, K. Grover
semanticscholar   +1 more source

Land surface temperature analysis in densely populated zones from the perspective of spectral indices and urban morphology

International Journal of Environmental Science and Technology, 2023
R. Ghanbari, M. Heidarimozaffar, A. Soltani, H. Arefi   +3 more
semanticscholar   +1 more source

Real‐time refinement of subthalamic nucleus targeting using Bayesian decision‐making on the root mean square measure

Movement Disorders, 2006
A. Moran, I. Bar-Gad, H. Bergman, Z. Israel   +3 more
semanticscholar   +1 more source