In the original languageTranslation into English
Improvement of mechanisms for analysis of primary data of product description based on artificial intelligence systems
Authors
Hamroyev Ulug‘bek Rustamovich
Rubric:Technical sciences in general
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Annotation
In this article, foreign experiences of mechanisms for analyzing the primary data of the description of goods based on artificial intelligence systems in customs control and customs clearance of goods and vehicles (V) transported across the customs border are studied. Also, in the activity of the customs system, suggestions were made regarding its solution by connecting the columns of the customs cargo declaration in order to increase the reliability of the information of the product description of vehicles, to form the integrity of the identification processes on the basis of a logical control system.
Keywords
product position
artificial intelligence
foreign economic activity (FEA)
vehicle (V)
VIN code.
product description
brand code
Commodity Nomenclature of Foreign Economic Activity (CN FEA) code
Authors
Hamroyev Ulug‘bek Rustamovich
Rubric:Technical sciences in general
14
0
Share
14
0
References:
- International Convention (Kyoto, 1973) “On simplification and harmonization of customs procedures”. http://www.wcoomd.org Kyoto convention.
- Customs Code of the Republic of Uzbekistan. Customs Code approved by the Law of the Republic of Uzbekistan dated January 20, 2016 No. ORQ-400.
- https://www.seair.co.in/ - Seair Exim Solution site.
- https://bacuda.wcoomd.org/#aiHS - Bacuda site of the World Customs Organization (WCO).
- Harmonized commodity description and coding system, seventh edition (2022), https://tarif.customs.uz/spravochnik/viewDatatable.jsp?lang=en_EN.
- “Instructions on the procedure for filling out the customs cargo declaration, registered in the Ministry of Justice of the Republic of Uzbekistan on April 6, 2016 with No. 2773”.
- https://www.ahelp.ua/vin.html - Axelp — car portal.
- Akulova, A.A. Fundamentals of car design: educational. manual / A.A. Akulova, Yu.N. Stroganov; under general ed. Ph.D. techn. Sciences, dos. Yu.N. Stroganova.—Ekaterinburg : Ural Publishing House. una, 2017.— 168 p.
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