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An improved neurogenetic model for recognition of 3D kinetic data of human extracted from the Vicon Robot system and classify them as either normal or aggressive.
Optimization of State of the Art Fuzzy-Based Machine Learning Techniques for Total Dissolved Solids Prediction to the artificial neural network, extreme learning machine, adaptive neuro fuzzy inference system, GMDH, and NF
Ability of neural network cells in learning teacher motivation scale and prediction of motivation with fuzzy logic system, and they were analyzed via SPSS. The current study also compared the results by using an adaptive neuro-fuzzy
Модели взаимодействия колеса с опорной поверхностью в продольной плоскости, the fuzzy and neuro-fuzzy models of friction coefficient recognition are proposed. The simulation results
Tree State Category Identification for Boreal Area Conifers Using Global Features Estimation by Fuzzy Logic Approach, the color of the needles, etc. For global features estimation, fuzzy logic is used. To formalize
Covid-19 Plasma Monitoring Based on Clustering a Large Set of Recovered Patient Data and classifying them using fuzzy hierarchical clustering to reach the plasma as soon as possible.
Surgical treatment of orbital tumors in a single center: Analysis and results challenges due to their varied origins and complex anatomical context. These tumors, classified as primary
Deep Learning-Based Super-Resolution of Remote Sensing Images for Enhanced Groundwater Quality Assessment and Environmental Monitoring in Urban Areas alongside traditional water quality parameters (pH, hardness, TDS) analyzed through Fuzzy AHP, we calculated
Experimental research of a multistage gravitational classifier of slassification equipment, the most promising are multistage gravitational classifiers. The classification process
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