H-COMP: A Tool for Quantitative and Comparative Analysis of Endmember Identification Algorithms

Quantifying the Impact of Spatial Resolution on Endmember Extraction from Hyperspectral Imagery

Spectral mixing is a phenomenon that occurs naturally and frequently in real-world scenarios. This phenomenon, which has traditionally been modeled by using both linear and nonlinear techniques, has been reported to significantly influence the task of estimating fractional covers from mixed pixels. Over the past years, several algorithms have been developed for spectral unmixing of hyperspectra...

Comparative Study of Quantitative analysis Indicators of Inpatient Medical Records: Providing analysis Tool

Comparison of Machine Learning Algorithms for Broad Leaf Species Classification Using UAV-RGB Images

Abstract: Knowing the tree species combination of forests provides valuable information for studying the forest’s economic value, fire risk assessment, biodiversity monitoring, and wildlife habitat improvement. Fieldwork is often time-consuming and labor-required, free satellite data are available in coarse resolution and the use of manned aircraft is relatively costly. Recently, unmanned aeria...

A Comparative Study of Gender and Age Classification in Speech Signals

Accurate gender classification is useful in speech and speaker recognition as well as speech emotion classification, because a better performance has been reported when separate acoustic models are employed for males and females. Gender classification is also apparent in face recognition, video summarization, human-robot interaction, etc. Although gender classification is rather mature in a...

Comparative Analysis of Machine Learning Algorithms with Optimization Purposes

The field of optimization and machine learning are increasingly interplayed and optimization in different problems leads to the use of machine learning approaches‎. ‎Machine learning algorithms work in reasonable computational time for specific classes of problems and have important role in extracting knowledge from large amount of data‎. ‎In this paper‎, ‎a methodology has been employed to opt...