Models of criterion evaluation of the image processing systems effectiveness
Збірник наукових праць Державного університету інфраструктури та технологій: серія "Транспортні системи і технології", 2023 The criteria used to evaluate the effectiveness of image processing systems are investigated in the article. The requirements for performance criteria are analyzed.
O. Gertsiy
doaj
Frontiers in Plant ScienceThe fall armyworm (Spodoptera frugiperda) poses a significant threat to global maize production owing to its rapid life cycle, extensive host range, and strong dispersal capabilities. We developed a forecasting system for fall armyworm outbreaks over one
Vani Sree Kalisetti +9 more
doaj +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
Foveation-based content adaptive root mean squared error for video quality assessment
Multimedia Tools and Applications, 2017 When the video is compressed and transmitted over heterogeneous networks, it is necessary to ensure the satisfying quality for the end user. Since human observers are the end users of video applications, it is very important that the human visual system (HVS) characteristics are taken into account during the video quality evaluation.
Mario Vranješ +2 more
openaire +3 more sources
Nonparametric Kernel estimation of annual maximum stream flow quantiles. [PDF]
, 2002 A nonparametric kernel methods is proposed and evaluated performance for estimating annual maximum stream flow quantiles. The bandwidth of the estimator is estimated by using an optimal technique and a cross-validation technique.
Shabri, Ani
core
A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction [PDF]
, 2019 This study proposed the new hybrid model of Multiple Linear Regression Clustering (MLRC) combined with Support Vector Machine (SVM) to predict tumor size of colorectal cancer (CRC).
Ismail, Shuhaida +3 more
core +1 more source
Constraining Aerosol Vertical Profile in the Boundary Layer Using Hyperspectral Measurements of Oxygen Absorption [PDF]
, 2018 This study attempts to infer aerosol vertical structure in the urban boundary layer using passive hyperspectral measurements. A spectral sorting technique is developed to retrieve total aerosol optical depth (AOD) and effective aerosol layer height (ALH)
Kort, Eric A. +8 more
core +3 more sources
Quantum root-mean-square error and measurement uncertainty relations
, 2013 This second version has been substantially edited to ensure a balanced comparison of the two proposed quantum generalizations of the Gauss rms error concept.
Busch, Paul +2 more
openaire +2 more sources
Modeling Significant Wave Heights for Multiple Time Horizons Using Metaheuristic Regression Methods
Mathematics, 2023 The study examines the applicability of six metaheuristic regression techniques—M5 model tree (M5RT), multivariate adaptive regression spline (MARS), principal component regression (PCR), random forest (RF), partial least square regression (PLSR) and ...
Rana Muhammad Adnan Ikram +5 more
doaj +1 more source
Fault Detection and Classification in Transmission Line Using Wavelet Transform and ANN [PDF]
, 2016 In recent years, there is an increased interest in fault classification algorithms. The reason, behind this interest is the escalating power demand and multiple interconnections of utilities in grid.
Saini, D. (Deepak) +2 more
core +1 more source