Predictive maintenance of multiphase machines has become a vital issue in Industry 4.0 as
it has higher reliability and fault tolerant capability. This paper suggests the use of Particle …

Hyporheic exchange in streams is critical to ecosystem functions such as nutrient cycling
along river corridors, especially for slowly moving or small stream systems. The transient …

This study proposed a hybrid computational model by incorporating Election Algorithm (EA)
as a heuristics search technique in a Hopfield type of artificial neural network (HNN). The …

Background and Objectives Selecting applications for college admission is critical for
university operation and development. This paper leverages machine learning techniques to …

In this study, we introduce a versatile and scalable optimization tool designed to address
several critical project management needs. Our aim is to provide project managers with a …

In this paper, a modified internal rate of return (MIRR) has been presented on the
assumption of Weibull distribution to investigate the investment's attractiveness in the …

In this study, the critical risks and their effects on each other for the Alborz tunnel
construction project, which is known as the longest road tunnel in the Middle East, have …

In this study, a simulated annealing algorithm (SAA) has been incorporated in the Weibull
Distribution (WD) for Valuation of Investment Return. The purpose is to examine the …

Propensity score matching and weighting methods are applied to balance covariates and
reduce selection bias in the analysis of observational study data, and ultimately estimate a …

Purpose: This research tested the distinctive capability of detecting misleading information
when real earnings have positively stimulated the smooth movement of the market price …