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Экспертная система клинической диагностики острой хирургической патологии брюшной полости
Лашкевич, Е. М., Lashkevich, E. M.
программной реализации экспертной системы. The results of the development of expert system for acute surgical
Expert Systems in Medicine: A Scoping Review
Solodovnikov I., Venchakov N.
systems can become a solution to the above-mentioned problem. Medical expert systems are an important tool
Использование аффиксации в экспертных обучающих системах при изучении словообразования
Головня, А. И.
of training expert systems which could help foreign students to learn Russian word formation, how
The algorithm of the expert system of APCS (automated process control systems) tests
Yakupov D., Nabiullina G., Sabirov I.
description of a general algorithm of the expert system of APCS tests is presented.
Expert diagnostic system for monitoring of human breathing produced by UE ‘Unitehprom BSU’
Manichev, I. A.
Expert diagnostic system for monitoring of human breathing produced by UE ‘Unitehprom BSU’
Expert diagnostic system for monitoring of human breathing produced by UE Unitehprom BSU
Manichev, I. A.
Expert diagnostic system for monitoring of human breathing produced by UE Unitehprom BSU
Using artificial intelligence to find the optimal solutions in expert systems
Катаев, А. О.
Using artificial intelligence to find the optimal solutions in expert systems
К вопросу об экспертных обучающих системах
Герасименко, А. Ю., Штерензон, В. А.
The report examines characteristics of expert training systems at the present stage of vocational
Педагогические условия подготовки будущего педагога профессионального обучения к использованию экспертных обучающих систем
Isaeva, G. G., Backmaev, A. S., Исаева, Г. Г., Бакмаев, А. Ш.
in expert learning systems at preparation of future teacher in professional education. This pedagogical
Decision-making process analysis and semantic explanation extraction from trained supervised machine learning models in medical expert systems
Kurachkin, A. V., Sadau, V. S., Kachan, T. V., Курочкин, А. В., Садов, В. С., Качан, Т. В.
supervised machine learning model in order to gain insights to the dataset and derive new expert knowledge

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