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Full-Text Articles in Engineering
Current Issues Of The Use Of Artificial Intelligence In The Activities Of Customs Authorities, Jasur Usmonovich Sevinov, Gayrat Rustamovich Khamroev
Current Issues Of The Use Of Artificial Intelligence In The Activities Of Customs Authorities, Jasur Usmonovich Sevinov, Gayrat Rustamovich Khamroev
Chemical Technology, Control and Management
Presents effective methods and solutions to eliminate errors caused by the “human factor” (fatigue, neglect, etc.) as a result of the creation and improvement of automated systems based on artificial intelligence, distinguishing features such as commodity group, weight, dimensions, etc. in relation to goods under customs control. The use of artificial intelligence in customs activities allows: to increase the speed of performing tasks set before customs authorities by increasing productivity, without attracting additional personnel; to eliminate errors caused by the “human factor” (fatigue, neglect, etc.); to free employees from everyday activities and transfer it to solving mainly analytical tasks; to …
Prediction Using Fire Data Based On Machine Learning Algorithms, Oybek Zokirovich Koraboshev
Prediction Using Fire Data Based On Machine Learning Algorithms, Oybek Zokirovich Koraboshev
Chemical Technology, Control and Management
In this article, the process of real-time prediction of the dynamics of fire development in non-stationary and gas-fired areas is carried out by developing a real-time prediction method based on artificial intelligence and deep machine learning (Deep Machine Learning) algorithms. The most commonly used KNN algorithm, CVM algorithm, Random Forest algorithm and Naive Bayes algorithm were used for prediction fire situations.
Enterprise Engineering And Intellectual Technologies For Lifecycle Management Of Industrial Production, Nodirbek Rustambekovich Yusupbekov, Valery Borisovich Tarasov, Shukhrat Manapovich Gulyamov, Fahritdin Raupovich Abdurasulov
Enterprise Engineering And Intellectual Technologies For Lifecycle Management Of Industrial Production, Nodirbek Rustambekovich Yusupbekov, Valery Borisovich Tarasov, Shukhrat Manapovich Gulyamov, Fahritdin Raupovich Abdurasulov
Chemical Technology, Control and Management
The fundamental scientific problem of the development of the mathematical foundations of engineering for industrial enterprises and the development of mathematical methods of production management, as well as the creation of intelligent systems for coordinated management of the life cycles of products and production in the network of enterprises are discussed. The issues in demand in the development of a vast interdisciplinary field of enterprise engineering and the development of modern network enterprises and intelligent production using mathematical modeling methods are discussed.
Analysis Of Consistency Of Similarity Predicates To Measures Of Similarity And Advantages Of Their Application In Digital Systems For Solving Intellectual Problems, Makhmudjon Abdullaev, Nodira Batirdjanovna Alimova
Analysis Of Consistency Of Similarity Predicates To Measures Of Similarity And Advantages Of Their Application In Digital Systems For Solving Intellectual Problems, Makhmudjon Abdullaev, Nodira Batirdjanovna Alimova
Chemical Technology, Control and Management
The results of the analysis of the correspondence of similarity predicates to similarity measures used in various metric methods used for signal classification and the feasibility of using similarity predicates in the construction of digital systems for solving intellectual problems, for which the simplification of computational operations is of no small importance, are presented. Some general and distinctive features of the similarity predicate are considered in comparison with the euclidean metric in relation to one-dimensional and two-dimensional spaces, and generalized to the case of n-dimensional metric spaces. The expediency of using methods based on the calculation of similarity predicates, which …
Features Of Intelligent Models In The Theory Of Robotic And Mechatronic Systems, Kh.N. Nazarov, N.R. Matyokubov, T.O. Rakhimov
Features Of Intelligent Models In The Theory Of Robotic And Mechatronic Systems, Kh.N. Nazarov, N.R. Matyokubov, T.O. Rakhimov
Chemical Technology, Control and Management
The article discusses the features of intelligent models and tasks in the theory of mechatronic and robotic systems, the algebraic model of artificial intelligence, formalized types of intellectual tasks, intelligent models of the problem area, which are distinguished by their versatility and clarity. Intellectual models and tasks in the field of the theory of robotic systems are formally presented. As part of a set of inference rules, intelligent models as universal rules use rules of substitution and conclusion, similar to the deductive rules of inference in propositional and predicate calculus, and the rules of meaning. The systematization of t the …
Prospects Of The Development Of Unmanned Aerial Vehicles (Uavs), Rakhimjon Shokirov, Nuriddin Abdujabarov, Takhirov Jonibek, Kadamboy Saytov, Saidbek Bobomurodov
Prospects Of The Development Of Unmanned Aerial Vehicles (Uavs), Rakhimjon Shokirov, Nuriddin Abdujabarov, Takhirov Jonibek, Kadamboy Saytov, Saidbek Bobomurodov
Technical science and innovation
This article outlines the current state of research and development for autonomous unmanned aircraft for civil use. Specifically, the history of UAVs for civil use, research and development in the world, and the topics and prospects for the control and operation of autonomous UAVs for civil use are defined. The perspectives for the use of unmanned aerial vehicles (UAVs) are addressed, programs due to the formation and problems preventing the use of UAVs are listed, and ways of increasing competitiveness are taken into account. This article provides an overview of research involving the advancement of UAV technology for the management …
Electronic Spam Filtering Based On Neural Networks, Tulkun Fayzievich Bekmuratov, Fayzullajon Bakhtiyorovich Botirov, Elshod Dilshod Ugli Haydarov
Electronic Spam Filtering Based On Neural Networks, Tulkun Fayzievich Bekmuratov, Fayzullajon Bakhtiyorovich Botirov, Elshod Dilshod Ugli Haydarov
Chemical Technology, Control and Management
This article analyzes the problem of filtering spam messages and addressing spam messages, Bayesian theorems based on artificial intelligence, LVQ algorithms (LVQ learning vector quantization) and a filtering scheme for systems based on neural networks. The direct construction of an effective neural network model of spam filtering using database recognition technology is considered. The parameters of access to the neural network how to include predefined statistical and non-statistical attributes of messages are given. The structure of neural network technology for classifying emails is also considered. The procedure for analyzing incoming data using the tool included in the analytical platform Deductor …