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Specialized case tools for the development of expert systems
in our report represents the combination of SWI-PROLOG and Data Base Management System (DBMS) PostgreSQL
On the case tools in the software development life cycle
, C# and Data Base Management System (DBMS) PostgreSQL. As a result of the research we received
Software tools and techniques for the expert systems building
Enikeev A., Burnashev R., Vakhitov G.
combination of SWI-Prolog, Java, Python programming languages, Post-greSQL database management system (DBMS
Illustration of experimental version of the expert system
Burnashev R., Enikeev A.
environment that includes a combination of PROLOG, JavaScript, Python programming languages, PostgreSQL
Expert system building tools based on dynamically updated knowledge
Burnashev R., Amer I., Enikeev A.
that includes software systems Prolog, JavaScript, Python, as well as database management systems PostgreSQL
Разработка ER-диаграммы для СУБД PostgreSQL психолингвистической базы данных RuWordPerception
Коршунова, Ирина Сергеевна
WordPerception in the PostgreSQL RDBMS. The theoretical foundations of the database, the logical data structure, and its
Research on the Development of Expert Systems Using Artificial Intelligence
Burnashev R., Gabdrahmanov R., Amer I., Vakhitov G., Enikeev A.
of logical expert systems using artificial intelligence on the example of diagnosing leukemia
System of diagnosis of acute nazhopharingitis using artificial neural networks
Hussein A., Salman M., Burnashev R.
database management system, medical data analysis was performed. Subsequently, the patients were diagnosed
CGRdb2.0: A Python Database Management System for Molecules, Reactions, and Chemical Data
Gimadiev T., Nugmanov R., Khakimova A., Fatykhova A., Madzhidov T., Sidorov P., Varnek A.
This work introduces CGRdb2.0─an open-source database management system for molecules, reactions
Development of Data Storage and User Interface in the Clinical Decision Support System
Shakhmametova, G.R., Evgrafov, A.A., Zulkarneev, R. Kh.
, PostgreSQL, SQLite, MongoDB, Microsoft SQL. Their advantages and disadvantages in relation

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