Objective In this paper, we will introduce the designing of Grubbs's test under neutrosophic
statistics. The proposed test will be a generalization of Grubbs's test under classical …

The existing Dixon's test (DT) under classical statistics has been widely applied in a variety
of fields. The main target of DT is to recognize the outlier or suspicious observation in the …

The Amazon area has been increasingly suffering from anthropogenic impacts, especially
due to the construction of hydroelectric power plant reservoirs. The analysis and …

Despite many years of research, correct and reliable segmentation of touching characters is
still a hard task to solve. In the recent years, many methods and algorithms have been …

Data outliers is intrinsically a fuzzy concept and should be treated as such. This paper is a
continuation of a research on fuzzy outliers. Extending the BACON algorithm, FBACON1 and …

Cache coherence protocols of current shared-memory multiprocessors are difficult to verify.
Our previous work proposed an extension of Lamport's logical clocks for showing that …

This paper presents the results of a knowledge acquisition of vibrations in high-power
transformers in two substations of an Electrical Power System in the Amazon region, Brazil …

The particle swarm optimization (PSO) algorithm has been recently introduced in the non--
linear programming, becoming widely studied and used in a variety of applications. Starting …

An original software system for in-process Bayesian estimation is presented with application
to a vector of time-varying measurands. The estimation algorithm, mainly based on the …

Power grid monitoring is a very challenging task to avoid both disasters and economic
damages. This is because many critical services eg Health and welfare use the power grid …