Nanophytomedicine Market: Global Opportunity Analysis and Industry Forecast

2020 ◽  
pp. 19-31
Author(s):  
Rahul Shukla ◽  
Komal Thok ◽  
Imtiyaz Alam ◽  
Raghuraj Singh
Keyword(s):  
Industry Forecast

Forecasting US movies box office performances in Turkey using machine learning algorithms

2020 ◽  
Vol 39 (5) ◽  
pp. 6579-6590
Author(s):  
Sandy Çağlıyor ◽  
Başar Öztayşi ◽  
Selime Sezgin
Keyword(s):  
Machine Learning ◽  
Global Economy ◽  
Learning Algorithms ◽  
Forecast Model ◽  
Machine Learning Algorithms ◽  
Gradient Boosting ◽  
High Stakes ◽  
Box Office ◽  
Industry Forecast ◽  
The Impact

The motion picture industry is one of the largest industries worldwide and has significant importance in the global economy. Considering the high stakes and high risks in the industry, forecast models and decision support systems are gaining importance. Several attempts have been made to estimate the theatrical performance of a movie before or at the early stages of its release. Nevertheless, these models are mostly used for predicting domestic performances and the industry still struggles to predict box office performances in overseas markets. In this study, the aim is to design a forecast model using different machine learning algorithms to estimate the theatrical success of US movies in Turkey. From various sources, a dataset of 1559 movies is constructed. Firstly, independent variables are grouped as pre-release, distributor type, and international distribution based on their characteristic. The number of attendances is discretized into three classes. Four popular machine learning algorithms, artificial neural networks, decision tree regression and gradient boosting tree and random forest are employed, and the impact of each group is observed by compared by the performance models. Then the number of target classes is increased into five and eight and results are compared with the previously developed models in the literature.

1991 industry forecast

1990 ◽  
Vol 9 (12) ◽  
pp. 17-18
Author(s):  
Jana Lillie
Keyword(s):  
Industry Forecast

scholarly journals Plowing New Ground

2009 ◽  
Vol 131 (05) ◽  
pp. 40-44
Author(s):  
Lee S. Langston
Keyword(s):  
Electric Power ◽  
Gas Turbine ◽  
Gas Turbines ◽  
Vital Signs ◽  
Computer Models ◽  
Cutting Edge ◽  
Jet Engines ◽  
Industry Forecast

This article presents an overview of the gas turbine industry. The annual value of production provides the vital signs for the industry. Forecast International in Newtown, Connecticut, uses its computer models and extensive database to monitor value of production for both the aviation and the non-aviation gas turbine market. The largest segment in the industry is aviation—jet engines and turboprop engines for commercial and military manned aircraft—with $21.4 billion in production. While aviation is the largest market for gas turbines, the non-aviation segment is the broadest. General Electric’s new LMS100 gas turbine is one example firmly on the cutting edge. Introduced in 2005 and rated at 100 MW, the LMS100 is the first modern production electric power gas turbine to have an intercooler. The LMS100 is aimed at the mid-merit and daily cycling segments of the electrical market—the difficult-to-predict, must-be-ready-to-start electrical peak and intermediary power providers.

scholarly journals The Negative Impact of COVID-19 on Region Industries: Health Hazards and Its Forecasting

2020 ◽  
pp. 46-58
Author(s):  
NATALIIA Ye. LETUNOVSKA ◽  
TETYANA A. VASILYEVA ◽  
VLADYSLAV A. SMIYANOV
Keyword(s):  
Negative Impact ◽  
Manufacturing Sector ◽  
Regional Scale ◽  
Economic Situation ◽  
Critical Parameters ◽  
Processing Industry ◽  
Rate Of Spread ◽  
Global Pandemic ◽  
Industry Forecast ◽  
The Impact

The authors of the article consider the COVID-19 pandemic as a factor that has hurt various world economy sectors. Events caused by restrictive actions by governments in quarantine measures to reduce the spread of coronavirus have worsened the financial and economic situation of several businesses on a regional scale. The situation in the world's economy highlights the need for comprehensive research in forecasting and leveling the harmful effects of epidemics of this scale at different levels of the socio-economic sphere of individual regions. The study aims to summarize the material on the spread of the COVID-19 pandemic and measures to combat it in different countries for use in the development of tools to prevent such negative phenomena on the economy of individual regions. The authors did a comparative analysis of the state of the critical parameters of government action to reduce the negative impact of COVID-19 in the countries leading the rate of spread of this virus. This ranking includes Ukraine, which is in the top twenty countries with the highest number of detected cases. The impact on the processing industry as the sector most affected by the pandemic is significant for the domestic economy, as this industry is one of those that form the largest share of the country's GDP. The article also presents the results of the research of business respondents in the manufacturing sector. If some of them did not experience significant changes in their work, most small and medium-sized companies suffered losses and suspended their production or reduced their scale. The main problems were the transportation of workers to production facilities, problems with product sales, and additional costs associated with countering the pandemic. The authors made conclusions on the most appropriate tools to support Ukraine's processing industry to overcome the challenges posed by a global pandemic. Key words: COVID-19 pandemic, economic health of a region, economic activity, processing industry, forecast of the socio-economic situation.

Regional specific features of the consumer sector of the economy

2021 ◽  
Vol 19 (8) ◽  
pp. 1406-1419
Author(s):  
Ekaterina V. ZHILINA ◽  
Anzhelika A. NIKITINA ◽  
Elena A. KHUNAFINA ◽  
Ilyuza M. KHANOVA
Keyword(s):  
Statistical Analysis ◽  
Food Consumption ◽  
Direct Relationship ◽  
Meat Products ◽  
Meat Consumption ◽  
Behavior Patterns ◽  
Meat Industry ◽  
Number Of Factors ◽  
Food Market ◽  
Industry Forecast

Subject. This article discusses the development of meat food market in Russia. Objectives. The article aims to define trends in the development of the meat industry, forecast the meat food consumption in Russia, and analyze the effect of various factors on the meat food consumption level. Methods. For the study, we used a statistical analysis. Results. The article presents the forecast of meat food consumption until 2023 and describes the dependence of meat consumption on a number of factors. Conclusions. Changes in consumer behavior patterns are affecting the meat food market. The direct relationship between the real incomes of the population and the level of consumption has a significant impact on the demand for meat products.

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