Dynamic memristor-based reservoir computing for high-efficiency temporal signal processing
Nature Communications, 2021 Reservoir computing is a highly efficient network for processing temporal signals due to its low training cost compared to standard recurrent neural networks, and generating rich reservoir states is critical in the hardware implementation.
Yanan Zhong +5 more
semanticscholar +1 more source
A Geometric Structure Based Non Local Mean Image Denoising Algorithm
IEEE Access, 2023 With the widespread application of image recognition technology, the commercial application value of image denoising is gradually increasing. To optimize the performance of non local mean image denoising algorithms, the similarity of image blocks in this
Lei Shi
doaj +1 more source
Remote Sensing, 2020 Sentinel-2 provides the opportunity to map the snow cover at unprecedented spatial and temporal resolutions on a global scale. Here we calibrate and evaluate a simple empirical function to estimate the fractional snow cover (FSC) in open terrains using ...
S. Gascoin +9 more
semanticscholar +1 more source
Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks [PDF]
, 2020 Changes in Arctic sea ice affect atmospheric circulation, ocean current, and polar ecosystems. There have been unprecedented decreases in the amount of Arctic sea ice due to global warming.
Han, Daehyeon +4 more
core +1 more source
Evaluation of SSM-Wheat Model in Simulating the Growth and Development of Wheat (Triticum aestivum L.) Cultivars in Different Planting Densities [PDF]
بوم شناسی کشاورزیIntroductionWheat (Triticum aestivum L.) is one of the most important and widely consumed crops in the world. Changing the density towards an optimal density can alter the ratio of soil evaporation to plant transpiration in such a way that water use ...
Ali Rahemi karizki +5 more
doaj +1 more source
Therapeutic Potential of Haptic TheraDrive: An Affordable Robot/Computer System for Motivating Stroke Rehabilitation [PDF]
, 2014 There is a need for increased opportunities for effective neurorehabilitation services for stroke survivors outside the hospital environment. Efforts to develop low-cost robot/computer therapy solutions able to be deployed in home and community ...
Johnson, Michelle J. +2 more
core +2 more sources
Multivariate time series analysis for short-term forecasting of ground level ozone (O3) in Malaysia [PDF]
, 2021 The declining of air quality mostly affects the elderly, children, people with asthma, as well as a restriction on outdoor activities. Therefore, there is an importance to provide a statistical modelling to forecast the future values of surface layer
Raffee, Ahmad Fauzi
core +1 more source
Nature Communications, 2023 Physical reservoirs holding intrinsic nonlinearity, high dimensionality, and memory effects have attracted considerable interest regarding solving complex tasks efficiently.
Yiming Sun +22 more
semanticscholar +1 more source
Application of HYDRUS (2D/3D) for Predicting the Influence of Subsurface Drainage on Soil Water Dynamics in a Rainfed-Canola Cropping System [PDF]
, 2018 The HYDRUS (2D/3D) model was applied to investigate the probable effects of different subsurface drainage systems on the soil water dynamics under a rainfed-canola cropping system in paddy fields.
Ajdari +39 more
core +2 more sources
Structural Equation Modeling: A Multidisciplinary Journal, 2019 Recent research has provided formulae for estimating the maximum likelihood (ML) RMSEA when mean or mean and variance, corrections for non-normality are applied to the likelihood ratio test statistic. We investigate by simulation which choice of corrections provides most accurate point RMSEA estimates, confidence intervals, and p-values for a test of ...
Chuanji Gao +2 more
openaire +1 more source