Clustering Input Signals Based Identification Algorithms for Two-Input Single-Output Models with Autoregressive Moving Average Noises

This study focused on the identification Buffet and Hutch problems of two-input single-output system with moving average noises based on unsupervised learning methods applied to the input signals.The input signal to the autoregressive moving average model is proposed to be arriving from a source with continuous technical and environmental changes a

read more

Trend Analysis Blocking system in the north of Himesepher

Blocking is one of the most protruding flow patterns and has received attention during the last decades due to its effect on seasonal weather characteristics.Moreover, Suncatcher Ornament finding show that Most of the blocking systems in the northern hemisphere are in all seasons and their continuity in the Atlantic and Pacific.The results of the M

read more

Use of principal components of UAV-acquired narrow-band multispectral imagery to map the diverse low stature vegetation fAPAR

The fraction of absorbed photosynthetically active radiation (fAPAR) is an important plant physiological index that is used to assess the ability of vegetation to absorb PAR, which is utilized to sequester carbon in the atmosphere.This index is also important for monitoring plant health and productivity, which has been widely used to monitor low st

read more