Data mining
Ali Shahgharar; Majid Bagherzadeh Khajeh; Sahar khoshfetrat; Naser Faqhi Farhamand
Abstract
The current research aims to study the effectiveness of artificial intelligence (AI) on sustainable and intelligent supply chain management in the food industry of East Azarbaijan province. The use of intelligent technologies and sustainability components based on organizational knowledge in the product ...
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The current research aims to study the effectiveness of artificial intelligence (AI) on sustainable and intelligent supply chain management in the food industry of East Azarbaijan province. The use of intelligent technologies and sustainability components based on organizational knowledge in the product supply chain not only improves the information level of the supply chain but also reduces the risk of product security problems, especially perishable products, by controlling the supply chain. Also, when a product security problem occurs, companies can help solve this problem through intelligentization and knowledge management. In this research, by comparing the regression rate, which is closer to the desired number of one, and the MSE rate of the obtained error value, which is very close to zero, in the best case, the results related to one hidden layer and two neurons were selected. Then, by calculating the sum of the weights of each layer and normalizing the weights, the importance of each input layer was determined. The research results showed that the order of importance of the independent variables in the neural network structure model is cultural factors, economic factors, environmental factors, and social factors. measures to be taken by businesses to realize digital transformation.
Maryam Moghadami; Aziz Hedayati khoshemehr; Hajar Mohammadi; Athareh Naghdinejad
Abstract
This study aims to investigate the scientific production of artificial intelligence in the management and crisis of Covid 19. It is of the scientometric type which has been done by co-occurrence analysis of words. The research population consists of 2,816 documents in the field of "artificial intelligence ...
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This study aims to investigate the scientific production of artificial intelligence in the management and crisis of Covid 19. It is of the scientometric type which has been done by co-occurrence analysis of words. The research population consists of 2,816 documents in the field of "artificial intelligence during the Covid-19 pandemic" indexed in the Scopus database. VOSviewer software has been used to draw scientific maps. A total of 2816 documents in the field of artificial intelligence and corona pandemic have been indexed by researchers all over the world in the Scopus database, of which 64.5% were in the form of scientific research articles. 18% of scientific products are related to medicine and 16.9% are related to computer science. The United States, China, and India are ranked first to third respectively. Iran is also ranked 17th out of 20 countries active in the field of artificial intelligence and Covid-19 such as Taiwan, Malaysia, South Korea, and Macau. Active authors in this field are Chou k.c, Hassanien A.E, and Ivano. D. The highest production in this field belongs to the United States, China, and India, respectively. The United States and China, as prominent and successful examples of the use of artificial intelligence in the management of Covid-19 disease, can be a model for other countries in overcoming this crisis.
