id int64 18 21.1k | created_at timestamp[ns, tz=UTC]date 2026-02-23 07:30:20 2026-02-24 16:54:39 | updated_at timestamp[ns, tz=UTC]date 2026-02-23 08:08:14 2026-02-24 16:54:39 | doc_name stringclasses 1
value | input stringlengths 11 9.24k | output stringlengths 0 738 | is_personal bool 2
classes | is_sentence bool 2
classes | is_corrected bool 2
classes |
|---|---|---|---|---|---|---|---|---|
10,007 | 2026-02-24T09:42:44.526000Z | 2026-02-24T09:42:44.526000Z | Lec. | Функции потерь 17. 2.5 | false | false | false | |
10,006 | 2026-02-24T09:42:42.989000Z | 2026-02-24T09:42:42.989000Z | Lec. | Обзор оптимизаторов 16. 2.4 | false | true | false | |
10,005 | 2026-02-24T09:42:41.223000Z | 2026-02-24T09:42:41.223000Z | Lec. | Обзор моделей 12. 2.3 | false | false | false | |
10,004 | 2026-02-24T09:42:39.592000Z | 2026-02-24T09:42:39.592000Z | Lec. | Обзор сервисов аналогов 11. 2.2 | false | true | false | |
10,003 | 2026-02-24T09:42:37.626000Z | 2026-02-24T09:42:37.626000Z | Lec. | Обзор существующих решений 11. 2.1 | false | true | false | |
10,002 | 2026-02-24T09:42:35.901000Z | 2026-02-24T09:42:35.901000Z | Lec. | Описание задачи 8. 2 | false | true | false | |
10,001 | 2026-02-24T09:42:33.723000Z | 2026-02-24T09:42:33.723000Z | Lec. | Введение 5. 1 | false | true | false | |
10,000 | 2026-02-24T09:42:32.216000Z | 2026-02-24T09:42:32.216000Z | Lec. | The outcome of this work is a console application for the automatic classification of scientific articles | false | true | false | |
9,999 | 2026-02-24T09:42:30.493000Z | 2026-02-24T09:42:30.493000Z | Lec. | The research consists of preprocessing a dataset of articles, investigating classification architectures and text processing methods, developing improvements, creating a final program, and conducting a comprehensive evaluation of its effectiveness | false | true | false | |
9,998 | 2026-02-24T09:42:28.716000Z | 2026-02-24T09:42:28.716000Z | Lec. | The study aims to develop models capable of identifying the appropriate GRNTI categories for scientific publications, which could enhance peer review, indexing of materials, and provide invaluable support for scientometrics | false | true | false | |
9,997 | 2026-02-24T09:42:27.144000Z | 2026-02-24T09:42:27.145000Z | Lec. | The relevance of this research lies in the necessity to improve the accuracy and processing of scientific texts, as the current classification methods rely on outdated technologies | false | true | false | |
9,996 | 2026-02-24T09:42:25.390000Z | 2026-02-24T09:42:25.390000Z | Lec. | The objective of this graduation thesis is to develop neural language models for automating the classification of Russian-language scientific articles according to the State Rubricator of Scientific and Technical Information (GRNTI) codes for the All-Russian Institute of Scientific and Technical Information (VINITI) | false | true | false | |
9,995 | 2026-02-24T09:42:23.526000Z | 2026-02-24T09:42:23.526000Z | Lec. | Due to the ever-increasing volume and complexity of scientific articles, there is a growing need for efficient classification of scientific papers to standardize knowledge and optimize search processes | false | true | false | |
9,994 | 2026-02-24T09:42:21.904000Z | 2026-02-24T09:42:21.904000Z | Lec. | Результатом работы стало создание консольного приложения для автоматической классификации научных статей | false | true | false | |
9,993 | 2026-02-24T09:42:20.133000Z | 2026-02-24T09:42:20.133000Z | Lec. | Исследование состоит из предварительной обработки набора статей, исследования архитектур классификации и работы с текстом, способов их улучшения, разработки итоговой программы и комплексной оценки их эффективности | false | true | false | |
9,992 | 2026-02-24T09:42:18.371000Z | 2026-02-24T09:42:18.371000Z | Lec. | Исследование нацелено на разработку моделей, которые смогут определять соответствующие рубрики ГРНТИ научных публикаций, что может способствовать улучшению рецензирования, индексирования материалов, а также оказать неоценимую помощь наукометрии | false | true | false | |
9,991 | 2026-02-24T09:42:16.493000Z | 2026-02-24T09:42:16.493000Z | Lec. | Актуальность исследования состоит в необходимости увеличения точности и обработки научных текстов, так как в настоящее время классификация выполняется на устаревших технологиях | false | true | false | |
9,990 | 2026-02-24T09:42:14.716000Z | 2026-02-24T09:42:14.716000Z | Lec. | Целью выпускной квалификационной работы является создание нейросетевых языковых модели для автоматизации процесса классификации русскоязычных научных статей по кодам ГРНТИ для Всероссийского Института Научной и Технической Информации (ВИНИТИ) | false | true | false | |
9,989 | 2026-02-24T09:42:12.853000Z | 2026-02-24T09:42:12.853000Z | Lec. | В связи со все увеличивающимся объемом и усложнением научных статей, наблюдается большая потребность в эффективной классификации научных статей для стандартизации знаний и оптимизации их поиска | false | true | false | |
9,988 | 2026-02-24T09:42:11.085000Z | 2026-02-24T09:42:11.085000Z | Lec. | Руководитель. / | false | true | false | |
9,987 | 2026-02-24T09:42:09.681000Z | 2026-02-24T09:42:09.681000Z | Lec. | Студент. / | false | true | false | |
9,986 | 2026-02-24T09:42:08.173000Z | 2026-02-24T09:42:08.173000Z | Lec. | Разработка ансамбля языковых моделей для классификации текстов по кодам ГРНТИ | false | true | false | |
9,985 | 2026-02-24T09:42:06.434000Z | 2026-02-24T09:42:06.434000Z | Lec. | Мазепа Денис Игоревич | true | false | false | |
9,984 | 2026-02-24T09:41:53.748000Z | 2026-02-24T09:41:53.748000Z | Lec. | URL: https://criticality-metrics.readthedocs.io/en/latest/time-scale/TTC.html (дата обращения: 05.05.2025). | false | true | false | |
9,983 | 2026-02-24T09:41:51.543000Z | 2026-02-24T09:41:51.543000Z | Lec. | Time To Collision (TTC) - Criticality Metrics [Электронный ресурс] | false | false | false | |
9,982 | 2026-02-24T09:41:49.692000Z | 2026-02-24T09:41:49.692000Z | Lec. | Whinston Efficient Real-Time Routing for Autonomous Vehicles Through Bayes Correlated Equilibrium: An Information Design Framework // Technology Policy Institute Artificial Intelligence conference 2018. 2018. 32 | false | true | false | |
9,981 | 2026-02-24T09:41:47.723000Z | 2026-02-24T09:41:47.723000Z | Lec. | Yixuan L., Andrew B | false | false | false | |
9,980 | 2026-02-24T09:41:45.920000Z | 2026-02-24T09:41:45.920000Z | Lec. | OpenCDA: An Open Cooperative Driving Automation Framework Integrated with Co-Simulation 2021. 31 | false | false | false | |
9,979 | 2026-02-24T09:41:44.180000Z | 2026-02-24T09:41:44.180000Z | Lec. | Xu R. [и др.] | false | false | false | |
9,978 | 2026-02-24T09:41:42.689000Z | 2026-02-24T09:41:42.689000Z | Lec. | Parallel Network Simulation With OMNeT++ // Journal of Research and Development on Information and Communication Technology. 2009. 30 | false | false | false | |
9,977 | 2026-02-24T09:41:40.881000Z | 2026-02-24T09:41:40.882000Z | Lec. | Varga A., Şekercioğlu A | false | false | false | |
9,976 | 2026-02-24T09:41:39.181000Z | 2026-02-24T09:41:39.181000Z | Lec. | C. 487–4650. 29 | false | false | false | |
9,975 | 2026-02-24T09:41:37.698000Z | 2026-02-24T09:41:37.698000Z | Lec. | Surrogate Safety Measures From Traffic Simulation Models // National Technical Information Service (NTIS). № 703 (telephone) | true | true | false | |
9,974 | 2026-02-24T09:41:36.042000Z | 2026-02-24T09:41:36.042000Z | Lec. | Trentacoste M | false | false | false | |
9,973 | 2026-02-24T09:41:34.513000Z | 2026-02-24T09:41:34.513000Z | Lec. | C. 383–405. 28 | false | false | false | |
9,972 | 2026-02-24T09:41:32.724000Z | 2026-02-24T09:41:32.724000Z | Lec. | SURROGATE MEASURES OF SAFETY // Safe Mobility: Challenges, Methodology and Solutions Transport and Sustainability. 2018. (11) | false | false | false | |
9,971 | 2026-02-24T09:41:30.468000Z | 2026-02-24T09:41:30.468000Z | Lec. | Assessing The Safety Benefit of Automatic Collision Avoidance Systems (During Emergency Braking Situations). 27 | false | true | false | |
9,970 | 2026-02-24T09:41:28.902000Z | 2026-02-24T09:41:28.902000Z | Lec. | Sultan B., Mcdonald P | true | false | false | |
9,969 | 2026-02-24T09:41:27.346000Z | 2026-02-24T09:41:27.346000Z | Lec. | Influence of Realistic Perception and Surroundings on Qualitative Results in Automated and Connected Vehicle Simulation // IEEE Access. 2024. (12). 26 | false | false | false | |
9,968 | 2026-02-24T09:41:25.438000Z | 2026-02-24T09:41:25.438000Z | Lec. | G., Romanov A | true | false | false | |
9,967 | 2026-02-24T09:41:23.591000Z | 2026-02-24T09:41:23.591000Z | Lec. | Stepanyants V | false | false | false | |
9,966 | 2026-02-24T09:41:21.983000Z | 2026-02-24T09:41:21.983000Z | Lec. | Surrogate Safety Assessment Model and Validation: Final Report. 2008. 25 | false | true | false | |
9,965 | 2026-02-24T09:41:20.099000Z | 2026-02-24T09:41:20.099000Z | Lec. | URL: https://www.researchgate.net/publication/237807114_TIME-TO-COLLISION_AND_COLLISION_AVOIDANCE_SYSTEMS (дата обращения: 05.05.2025). 24 | false | false | false | |
9,964 | 2026-02-24T09:41:18.080000Z | 2026-02-24T09:41:18.080000Z | Lec. | Richard van der horst, Jeroen Hogema TIME-TO-COLLISION AND COLLISION AVOIDANCE SYSTEMS [Электронный ресурс] | false | true | false | |
9,963 | 2026-02-24T09:41:16.153000Z | 2026-02-24T09:41:16.153000Z | Lec. | C. 12–22. 23 | false | false | false | |
9,962 | 2026-02-24T09:41:14.444000Z | 2026-02-24T09:41:14.444000Z | Lec. | C. 12–22. 22 | false | false | false | |
9,961 | 2026-02-24T09:41:12.908000Z | 2026-02-24T09:41:12.908000Z | Lec. | Evaluating the safety impact of connected and autonomous vehicles on motorways // Accident Analysis and Prevention. 2019. (124) | false | false | false | |
9,960 | 2026-02-24T09:41:10.868000Z | 2026-02-24T09:41:10.868000Z | Lec. | Papadoulis A., Quddus M., Imprialou M | false | false | false | |
9,959 | 2026-02-24T09:41:09.023000Z | 2026-02-24T09:41:09.023000Z | Lec. | C., Mohana Deep Learning based Object Detection Model for Autonomous Driving Research using CARLA Simulator 2021. 21 | false | true | false | |
9,958 | 2026-02-24T09:41:07.208000Z | 2026-02-24T09:41:07.208000Z | Lec. | R., Vinaykarthik B | false | false | false | |
9,957 | 2026-02-24T09:41:05.604000Z | 2026-02-24T09:41:05.604000Z | Lec. | C. 89–119. 20 | false | false | false | |
9,956 | 2026-02-24T09:41:04.136000Z | 2026-02-24T09:41:04.136000Z | Lec. | Bridging the user equilibrium and the system optimum in static traffic assignment: a review // 4OR. 2024. № 1 (22) | false | false | false | |
9,955 | 2026-02-24T09:41:02.301000Z | 2026-02-24T09:41:02.301000Z | Lec. | Microscopic Traffic Simulation using SUMO 2018. 19 | false | false | false | |
9,954 | 2026-02-24T09:41:00.519000Z | 2026-02-24T09:41:00.519000Z | Lec. | C. 1789. 18 | false | false | false | |
9,953 | 2026-02-24T09:40:58.790000Z | 2026-02-24T09:40:58.790000Z | Lec. | A Systematic Literature Review of Autonomous and Connected Vehicles in Traffic Management // Applied Sciences 2023, Vol. 13, Page 1789. 2023. № 3 (13) | false | true | false | |
9,952 | 2026-02-24T09:40:56.789000Z | 2026-02-24T09:40:56.789000Z | Lec. | Li J., Wang B., Alanazi F | false | false | false | |
9,951 | 2026-02-24T09:40:55.119000Z | 2026-02-24T09:40:55.119000Z | Lec. | Measuring the Efficiency of Parallel Discrete Event Simulation in Heterogeneous Execution Environments // Acta Technica Jaurinensis. 2016. (9) | false | true | false | |
9,950 | 2026-02-24T09:40:53.204000Z | 2026-02-24T09:40:53.204000Z | Lec. | Lencse G., Derka I | true | false | false | |
9,949 | 2026-02-24T09:40:51.792000Z | 2026-02-24T09:40:51.792000Z | Lec. | Recent Development and Applications of SUMO – Simulation of Urban MObility // https://sumo.dlr.de/pdf/sysmea_v5_n34_2012_4.pdf. 16 | false | true | false | |
9,948 | 2026-02-24T09:40:49.899000Z | 2026-02-24T09:40:49.899000Z | Lec. | Krajxewicz D. [и др.] | false | false | false | |
9,947 | 2026-02-24T09:40:48.297000Z | 2026-02-24T09:40:48.297000Z | Lec. | Insights into the Microscopic Structure of RNF4-SIM-SUMO Complexes from MD Simulations // Biophysical Journal. 2020. № 8 (119). 15 | false | true | false | |
9,946 | 2026-02-24T09:40:46.492000Z | 2026-02-24T09:40:46.492000Z | Lec. | D., Heuer A | true | false | false | |
9,945 | 2026-02-24T09:40:44.990000Z | 2026-02-24T09:40:44.990000Z | Lec. | Kötter A., Mootz H | false | false | false | |
9,944 | 2026-02-24T09:40:43.370000Z | 2026-02-24T09:40:43.370000Z | Lec. | S58–S64. 14 | false | false | false | |
9,943 | 2026-02-24T09:40:41.933000Z | 2026-02-24T09:40:41.933000Z | Lec. | Multi-agent traffic simulations to estimate the impact of automated technologies on safety // Traffic Injury Prevention. 2019. № sup1 (20) | false | true | false | |
9,942 | 2026-02-24T09:40:39.959000Z | 2026-02-24T09:40:39.959000Z | Lec. | Kitajima S. [и др.] | true | false | false | |
9,941 | 2026-02-24T09:40:38.399000Z | 2026-02-24T09:40:38.399000Z | Lec. | Its EN 302 637-2 - V1.3.1 - Intelligent Transport Systems (ITS); Vehicular Communications; Basic Set of Applications; Part 2: Specification of Cooperative Awareness Basic Service 2014. 13 | false | false | false | |
9,940 | 2026-02-24T09:40:36.662000Z | 2026-02-24T09:40:36.662000Z | Lec. | C. 6711–6724. 12 | false | false | false | |
9,939 | 2026-02-24T09:40:35.082000Z | 2026-02-24T09:40:35.082000Z | Lec. | Autonomous Vehicle’s Impact on Traffic: Empirical Evidence From Waymo Open Dataset and Implications From Modelling // IEEE Transactions on Intelligent Transportation Systems. 2023. № 6 (24) | false | false | false | |
9,938 | 2026-02-24T09:40:32.816000Z | 2026-02-24T09:40:32.816000Z | Lec. | Hu X. [и др.] | false | false | false | |
9,937 | 2026-02-24T09:40:31.252000Z | 2026-02-24T09:40:31.252000Z | Lec. | Assessment of Capacity Changes Due to Automated Vehicles on Interstate Corridors. 11 | false | true | false | |
9,936 | 2026-02-24T09:40:29.196000Z | 2026-02-24T09:40:29.196000Z | Lec. | Heaslip K. [и др.] | true | false | false | |
9,935 | 2026-02-24T09:40:27.443000Z | 2026-02-24T09:40:27.443000Z | Lec. | C. 268–270. 10 | false | false | false | |
9,934 | 2026-02-24T09:40:25.882000Z | 2026-02-24T09:40:25.882000Z | Lec. | Research on right-turn warning and control technology for urban intersection bus // Applied and Computational Engineering. 2023. № 1 (12) | false | true | false | |
9,933 | 2026-02-24T09:40:23.774000Z | 2026-02-24T09:40:23.774000Z | Lec. | Guo Y. [и др.] | false | true | false | |
9,932 | 2026-02-24T09:40:22.130000Z | 2026-02-24T09:40:22.130000Z | Lec. | C. 1443–1454. 9 | false | false | false | |
9,931 | 2026-02-24T09:40:20.422000Z | 2026-02-24T09:40:20.422000Z | Lec. | A behavioral multi-agent model for road traffic simulation // Engineering Applications of Artificial Intelligence. 2008. (21) | false | true | false | |
9,930 | 2026-02-24T09:40:18.478000Z | 2026-02-24T09:40:18.478000Z | Lec. | Doniec A., Mandiau R., Piechowiak S | false | false | false | |
9,929 | 2026-02-24T09:40:16.730000Z | 2026-02-24T09:40:16.730000Z | Lec. | Integration of an Autonomous Driving Simulator into V2X Simulation Framework for Testing Connected Vehicles. 8 | false | true | false | |
9,928 | 2026-02-24T09:40:14.801000Z | 2026-02-24T09:40:14.801000Z | Lec. | Cui D., Shen Y | true | false | false | |
9,927 | 2026-02-24T09:40:13.012000Z | 2026-02-24T09:40:13.012000Z | Lec. | Enriched Sioux Falls scenario with dynamic and disaggregate demand // Arbeitsberichte Verkehrs- und Raumplanung. 2014. (978). 7 | false | true | false | |
9,926 | 2026-02-24T09:40:11.109000Z | 2026-02-24T09:40:11.109000Z | Lec. | Chakirov A. ;, Fourie P | true | false | false | |
9,925 | 2026-02-24T09:40:09.539000Z | 2026-02-24T09:40:09.539000Z | Lec. | Driving Automation Systems Penetration and Traffic Safety: Implications for Infrastructure Design and Policy // Infrastructures 2024, Vol. 9, Page 234. 2024. № 12 (9) | false | false | false | |
9,924 | 2026-02-24T09:40:07.665000Z | 2026-02-24T09:40:07.665000Z | Lec. | Antonakaki A. [и др.] | true | true | false | |
9,923 | 2026-02-24T09:40:06.063000Z | 2026-02-24T09:40:06.063000Z | Lec. | András Varga OMNeT++ Simulation Manual. 2016. 5 | false | true | false | |
9,922 | 2026-02-24T09:40:04.256000Z | 2026-02-24T09:40:04.256000Z | Lec. | Parallel Simulation Made Easy With OMNeT++ // https://doc.omnetpp.org/publications/vargasekerci09parsim.pdf. 4 | false | true | false | |
9,921 | 2026-02-24T09:40:02.451000Z | 2026-02-24T09:40:02.451000Z | Lec. | András V., Ahmet S | true | false | false | |
9,920 | 2026-02-24T09:40:00.917000Z | 2026-02-24T09:40:00.917000Z | Lec. | Open-Source Integrated Simulation Framework for Cooperative Autonomous Vehicles 2022. 3 | false | false | false | |
9,919 | 2026-02-24T09:39:59.059000Z | 2026-02-24T09:39:59.059000Z | Lec. | Anagnostopoulos C. [и др.] | false | true | false | |
9,918 | 2026-02-24T09:39:57.352000Z | 2026-02-24T09:39:57.353000Z | Lec. | CARLA: An Open Urban Driving Simulator // https://proceedings.mlr.press/v78/dosovitskiy17a/dosovitskiy17a.pdf. 2 | false | true | false | |
9,917 | 2026-02-24T09:39:55.467000Z | 2026-02-24T09:39:55.467000Z | Lec. | Alexey D. [и др.] | true | true | false | |
9,916 | 2026-02-24T09:39:53.549000Z | 2026-02-24T09:39:53.549000Z | Lec. | Таким образом, модели показывают, что кооперация CAV с человеческими водителями имеет синергетический эффект: уже при частичном проникновении автономных агентов система становится заметно безопаснее, сохраняя или даже улучшая эксплуатационные показатели. 1 | false | true | false | |
9,915 | 2026-02-24T09:39:51.614000Z | 2026-02-24T09:39:51.614000Z | Lec. | Полный переход на CAV радикально повышает безопасность, но увеличивает время поездки и снижает среднюю скорость | false | true | false | |
9,914 | 2026-02-24T09:39:49.865000Z | 2026-02-24T09:39:49.865000Z | Lec. | Смешанный трафик (50–75 % CAV) дает наилучший баланс: прирост безопасности до 52 %, минимальное время поездки и малозначимое снижение пропускной способности | false | true | false | |
9,913 | 2026-02-24T09:39:48.305000Z | 2026-02-24T09:39:48.305000Z | Lec. | Проведенный эксперимент дал следующие результаты: | false | true | false | |
9,912 | 2026-02-24T09:39:46.711000Z | 2026-02-24T09:39:46.711000Z | Lec. | Дальнейший рост доли CAV приводит к плавному снижению метрики | false | true | false | |
9,911 | 2026-02-24T09:39:45.178000Z | 2026-02-24T09:39:45.178000Z | Lec. | Максимальное число завершенных поездок за расчётный интервал приходится на 25 % CAV | false | true | false | |
9,910 | 2026-02-24T09:39:43.197000Z | 2026-02-24T09:39:43.197000Z | Lec. | В этом случае однородная популяция CAV выбирает близкие траектории и скорости, и из-за отсутствия «агрессивных» Human Driven Vehicles (HDV) не формируются временные проёмы в потоке, и система переходит в более плотный, но медленный режим | false | true | false | |
9,909 | 2026-02-24T09:39:41.515000Z | 2026-02-24T09:39:41.516000Z | Lec. | При полном замещении время маршрута резко увеличивается, что сопровождается дальнейшим падением средней скорости | false | true | false | |
9,908 | 2026-02-24T09:39:39.969000Z | 2026-02-24T09:39:39.969000Z | Lec. | Минимальное среднее время поездки 588,1 секунды достигается при 75 % CAV (-1,4 % к базовому значению) | false | true | false |
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