Просмотр коллекции по группе - По тематике DECISION TREES
Отображение результатов 1 до 10 из 10
| Дата публикации | Название | Авторы |
| 2022 | Adaptive Ensemble Models for Medium-Term Forecasting of Water Inflow When Planning Electricity Generation under Climate Change | Matrenin, P.; Safaraliev, M.; Dmitriev, S.; Kokin, S.; Eshchanov, B.; Rusina, A. |
| 2019 | Digital diagnostic complex for power turbine units equipment | Murmanskii, I. B.; Aronson, K. E.; Blinov, V. L.; Zhelonkin, N. V.; Murmansky, B. E. |
| 2023 | Evaluation of the effectiveness of the decision support algorithm for physicians in retinal dystrophy using machine learning methods | Zhdanov, A. E.; Dolganov, A. Yu.; Zanca, D.; Borisov, V. I.; Luchian, E.; Dorosinsky, L. G. |
| 2018 | Feature extraction and selection for EEG and motion data in tasks of the mental status assessing pilot study using emotiv EPOC+ headset signals | Syskov, A.; Borisov, V.; Tetervak, V.; Kublanov, V. |
| 2015 | Genetic algorithm-based approach for building decision trees | Македонский, А. М.; Аксёнов, К. А.; Makedonsky, A. M.; Aksyonov, K. A. |
| 2020 | Industry experience of developing day-ahead photovoltaic plant forecasting system based on machine learning | Khalyasmaa, A. I.; Eroshenko, S. A.; Tashchilin, V. A.; Ramachandran, H.; Chakravarthi, T. P.; Butusov, D. N. |
| 2020 | Machine Learning Methods for Predicting the Lattice Characteristics of Materials | Filanovich, A. N.; Povzner, A. A. |
| 2018 | Machine learning techniques for short-term solar power stations operational mode planning | Eroshenko, S.; Khalyasmaa, A.; Snegirev, D. |
| 2022 | Medium-Term Load Forecasting in Isolated Power Systems Based on Ensemble Machine Learning Models | Matrenin, P.; Safaraliev, M.; Dmitriev, S.; Kokin, S.; Ghulomzoda, A.; Mitrofanov, S. |
| 2022 | Prediction of Sandstone Dilatancy Point in Different Water Contents Using Infrared Radiation Characteristic: Experimental and Machine Learning Approaches | Ma, L.; Khan, N. M.; Cao, K.; Rehman, H.; Salman, S.; Rehman, F. U. |
