The purpose of this case study was to assess over the course of 12 weeks the effect of a researcher-designed singing protocol on the documented vocal inefficiencies of a 63 year old post-menopausal singer, as measured by pre-...
Predicting stock indexes is a common concern in the financial world. This work uses neural network, support vector machine (SVM), mixed data sampling (MIDAS), and other methods in data mining technology to predict the daily...
Prediction of the stock price is a crucial task as predicting it may lead to profits. Stock price prediction is a challenge owing to non-stationary and chaotic data. Thus, the projection becomes challenging among the investors...
This study aims to compare the price cut and premium promotion with study moderators are discount depth size, product type, premium characteristics, and country effect (Indonesia and Taiwan). The experiment was designed as...
In order to investigate supply chain coordination and decision under customer balking and stochastic demand, the article considers a two-echelon supply chain consisting of one manufacturer with risk-neutral and one retailer with...
A stock market is an aggregation of buyers and sellers where issuance, buying, and selling of stocks happen. Predicting stock price is a significant concern due to volatility. Historical stock price and historical price data...
In order to obtain the visual data of linkage structure and network characteristics of hog price among provinces in China, an improved analysis method of social network correlation was proposed in this article. The lift of...
Soybean is an important crop, so it is very important to forecast soybean price trend, which can stabilize the market. This paper presents a Synthesis Method with Multistage Model (SMwMM) in order to identify and forecast...
The high volatility of world soybean prices has caused uncertainty and vulnerability particularly in the developing countries. The clustering of time series is a serviceable tool for discovering soybean price patterns in...
The stability of the original spillover effect model of agricultural product market price volatility is poor, resulting in the low degree of fitting between the results and the actual situation. In order to further clarify the...
An auction-based cloud model is followed in the spot pricing mechanism, where the spot instances charge changes with time. The user is bound to pay for the time that is initially initiated. If the user terminates before the...
This study seeks to study the relationship between market orientation and business performance and to evaluate the mediating effect of adopting a low-price strategy in this relationship in the hotel industry. A sample from the...
The stock market volume and price are active areas of research. Behind every dollar of investment, the customer will be hoping for profit in one or the other way. There is a positive correlation between investor sentiment and...
Stock market price prediction has always draws more attention from researchers and analysts. Prediction of stock price is extremely tough task due to the nature of stock data. Therefore, it is needed to develop an efficient...
Bullwhip effect reduces the efficiency, responsiveness, and value of the supply chain. There are some indirect causes like lead time, the number of echelons, and some direct causes of bullwhip effect such as rationing or price...
Agriculture is considered a sector with an essential contribution to carbon emissions in the Belt and Road Initiative (BRI) countries. This paper innovatively uses the by-production process to analyze the agricultural carbon...
Agricultural supply chain (ASC) plays a vital role for sustainability as it is the main source of food supply. ASC encounters more sources of risk due to seasonality, perishability, and weather conditions, which makes the global...
Healthcare sector stocks are a very good opportunity for investors to obtain gains faster most of the time in a year and mostly during this COVID pandemic. Purchasing a healthcare stock of a certain company indicates that you...
The backpropagation neural network (BPNN) algorithm of artificial intelligence (AI) is utilized to predict A+H shares price for helping investors reduce the risk of stock investment. First, the genetic algorithm (GA) is used to...
A mathematical model in the form of a piecewise objective probabilistic optimization approach was proposed in this study as the new decision-making tool to solve supplier selection and inventory management problems. The focus...
By analyzing the impact of different fairness concerns on a green supply chain, this study determines the optimal decisions under different power structures and conducts a comparative analysis of them. The findings of this study...
Under the background of electrification, it is significant to explore the changes in residential electricity consumption for energy conservation and emission reduction. Based on the staggered difference-in-difference (DID)...
This experimental study addresses the problem of predicting the direction of stocks and the movement of stock price indices for three major stocks and stock indices. The proposed approach for processing input data involves the...
Due to the non-linear and dynamic nature of stock data, prediction is one of the hard tasks in the financial market. Now, soft and bio-inspired computing algorithms have been used to forecast the stock price. This article...