Results 101 to 110 of about 23,890 (155)
Some of the next articles are maybe not open access.
ÐнженеÑÐ½Ð°Ñ Ð³Ð¸Ð´ÑологиÑ. ÐидÑологиÑеÑкие ÑаÑÑеÑÑ
1999ÐоÑобие ÑооÑвеÑÑÑвÑÐµÑ Ð°Ð²ÑоÑÑÐºÐ¾Ð¼Ñ ÐºÑÑÑÑ, ÑÑÑÐ°Ð½Ð¾Ð²Ð»ÐµÐ½Ð½Ð¾Ð¼Ñ ÑовеÑом ÑакÑлÑÑеÑа, диÑÑиплине "ÐнженеÑÐ½Ð°Ñ Ð³Ð¸Ð´ÑологиÑ" напÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÑкой подгоÑовки 550100 "СÑÑоиÑелÑÑÑво".
openaire +1 more source
Ð¯Ñ ÑÐµÐ½Ð½Ð°Ñ Ð³Ð°Ð²Ð°Ð½Ñ Ð² г. ÐлÑпка
2021ÐбÑÐµÐºÑ Ð¸ÑÑледованиÑ: Ð¯Ñ ÑÐµÐ½Ð½Ð°Ñ Ð³Ð°Ð²Ð°Ð½Ñ Ð² г. ÐлÑпка. ЦелÑÑ ÑабоÑÑ ÑвлÑеÑÑÑ ÑазÑабоÑка неÑколÑÐºÐ¸Ñ ÐºÐ¾Ð½ÑÑÑÑкÑивнÑÑ ÑеÑений Ñ Ð¿Ð¾ÑледÑÑÑим Ð¸Ñ ÑÑавнением и обоÑнованием вÑбоÑа более пÑиоÑиÑеÑного Ð²Ð°Ñ ...
openaire +1 more source
ÐнженеÑÐ½Ð°Ñ Ð³Ð¸Ð´ÑологиÑ
1980РлабоÑаÑоÑном пÑакÑикÑме ÑодеÑжаÑÑÑ Ð¾ÑновнÑе Ð¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ ÑеоÑии Ð¿Ð¾Ð´Ð¾Ð±Ð¸Ñ Ð¸ моделиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð³Ð¸Ð´ÑавлиÑеÑÐºÐ¸Ñ Ñвлений: ÑаÑÑмаÑÑиваÑÑÑÑ ÑÑÐ»Ð¾Ð²Ð¸Ñ Ð¿Ð¾Ð´Ð¾Ð±Ð¸Ñ, ÑиÑла и кÑиÑеÑÐ¸Ñ Ð¿Ð¾Ð´Ð¾Ð±Ð¸Ñ, излагаÑÑÑÑ Ð¿ÑавилР...
openaire +1 more source
ÐÐ¾Ð»ÐµÐ±Ð°Ð½Ð¸Ñ Ð² маÑÐ¸Ð½Ð°Ñ . Ч. 3
2008ÐеÑаÑаеÑÑÑ Ð¿Ð¾ ÑеÑÐµÐ½Ð¸Ñ ÑедакÑионно-издаÑелÑÑкого ÑовеÑа СанкÑ-ÐеÑеÑбÑÑгÑкого гоÑÑдаÑÑÑвенного полиÑÐµÑ Ð½Ð¸ÑеÑкого ÑнивеÑÑиÑеÑа.
openaire +1 more source
ÐÐ¾Ð»ÐµÐ±Ð°Ð½Ð¸Ñ Ð² маÑÐ¸Ð½Ð°Ñ . Ч. 2
2004ÐоÑобие ÑооÑвеÑÑÑвÑÐµÑ Ð³Ð¾ÑÑдаÑÑÑÐ²ÐµÐ½Ð½Ð¾Ð¼Ñ Ð¾Ð±ÑазоваÑелÑÐ½Ð¾Ð¼Ñ ÑÑандаÑÑÑ Ð´Ð¸ÑÑÐ¸Ð¿Ð»Ð¸Ð½Ñ Â«ÐÐ¾Ð»ÐµÐ±Ð°Ð½Ð¸Ñ Ð² маÑÐ¸Ð½Ð°Ñ Â» напÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÑкой подгоÑовки 551800 Â«Ð¢ÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸ÑеÑкие маÑÐ¸Ð½Ñ Ð¸ обоÑÑдование». Ðо вÑоÑ
openaire +1 more source
ÐнженеÑÐ½Ð°Ñ Ð³Ð¸Ð´ÑологиÑ
2003РаÑÑмаÑÑиваÑÑÑÑ Ð¾ÑновнÑе Ð¿Ð¾Ð»Ð¾Ð¶ÐµÐ½Ð¸Ñ ÑовÑеменной гидÑологии, ÑизиÑеÑÐºÐ°Ñ ÑÑÑноÑÑÑ Ð³Ð¸Ð´ÑологиÑеÑÐºÐ¸Ñ Ð¿ÑоÑеÑÑов Ñ ÑÑеÑом вÑÐµÑ ÑакÑоÑов, опÑеделÑÑÑÐ¸Ñ Ñежим вод ÑÑÑи.
openaire +1 more source
УпÑавление междÑнаÑоднÑми пÑоекÑами
2012ÐÐ·Ð»Ð¾Ð¶ÐµÐ½Ñ Ð¿ÑакÑиÑеÑкие вопÑоÑÑ ÑпÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿ÑоекÑами в междÑнаÑодной ÑÑеÑе. РаÑÑмоÑÑÐµÐ½Ñ Ð¾ÑобенноÑÑи междÑнаÑодного пÑоекÑного менеджменÑа, меÑодика ÑоÑмиÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¿Ð»Ð°Ð½Ð° ÑпÑÐ°Ð²Ð»ÐµÐ½Ð¸Ñ Ð¿ÑоекÑом на
openaire +1 more source
ÐогниÑÐ¸Ð²Ð½Ð°Ñ Ð´Ð¸Ð°Ð»Ð¾Ð³Ð¾Ð²Ð°Ñ ÑиÑÑема авÑономного ÑобоÑа
2023Ð ÑÑой ÑабоÑе иÑÑледÑÑÑÑÑ Ð¼ÐµÑÐ¾Ð´Ñ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ Ð¸ ÑлÑÑÑÐµÐ½Ð¸Ñ Ð´Ð¸Ð°Ð»Ð¾Ð³Ð¾Ð²Ð¾Ð¹ модели Ñ Ð¿Ñименением подобнÑÑ ÐºÐ¾Ð³Ð½Ð¸ÑивнÑÑ Ð¼ÐµÑодов. ÐÑÐ½Ð¾Ð²Ð½Ð°Ñ Ð·Ð°Ð´Ð°Ñа â ÑоздаÑÑ Ð´Ð¸Ð°Ð»Ð¾Ð³Ð¾Ð²ÑÑ Ð¼Ð¾Ð´ÐµÐ»Ñ, коÑоÑÐ°Ñ Ð±ÑÐ´ÐµÑ ÑдовлеÑвоÑÑÑÑ ...
openaire +1 more source
ÐÑименение ÐЧÐ-ÑадаÑа Ð´Ð»Ñ Ð¿Ð¾Ð¸Ñка поÑажаÑÑÐ¸Ñ Ð¾Ð±ÑекÑов
2019The possibility of using a neural network classifier to determine dangerous objects has been studied. A neural network has been developed for use as a classifier of objects according to the degree of danger. A number of programs for the detection of dangerous objects has been developed. A program for the accumulation of data for the subsequent training
openaire +1 more source
2022
This paper investigates and develops the method of reverse symbolic execution as an optimization of the symbolic execution method for finding errors in executable binary code. The proposed method is based on the idea of using symbolic variables, taken from the symbolic execution method, and the idea of executing code from the results of program ...
openaire +1 more source
This paper investigates and develops the method of reverse symbolic execution as an optimization of the symbolic execution method for finding errors in executable binary code. The proposed method is based on the idea of using symbolic variables, taken from the symbolic execution method, and the idea of executing code from the results of program ...
openaire +1 more source

