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Применение интеллектуальной СППР для среднесрочного прогнозирования динамики площади морских льдов в северном полушарии
С. 37–38.
Bukharov O.
In book
М.: МИЭМ НИУ ВШЭ, 2015.
Switzerland: Springer, 2021.
This book reflects the futuristic scientific view of the consequences of transition to Industry 4.0 for climate change. The authors present a systemic overview of the current negative consequences of digitization for the environment, new outlines of the energy sphere in Industry 4.0 and the change of the environment pollution level in Industry 4.0. The ...
Added: August 27, 2026
Rovnov Y., Chinese Journal of International Law 2026 Vol. 25 No. 3 P. 1–18
The International Court of Justice’s finding that 1.5°C has become the primary temperature goal under the Paris Agreement and therefore a factor that defines the content of States parties’ obligations is significant in a number of ways. Formally confined to the four corners of the Paris Agreement, it is poised to achieve a much broader ...
Added: August 24, 2026
Rovnov Y., European Energy and Environmental Law Review 2026 Vol. 35 No. 2 P. 75–92
The article tracks a change of approach taken by national courts within and across legal systems to assessing climate actions in tort. The polycentric nature of climate policy, which had proven fatal to plaintiffs’ earlier cases in common law jurisdictions, has rarely struck judges in continental Europe as a particularly effective defence. Nonetheless, to civil ...
Added: August 3, 2026
Ekaterina S. Podolskaia, Sinitsina A., European Journal of Forest Engineering 2026 Vol. 12 No. 1 P. 7–22
Machine learning in transport modeling has become a trend in science and industry. In this paper, we observe its main directions and focus on a dataset of seasonal road creation. Seasonality as a parameter in transport modeling has a significant impact on transport scenarios but is underestimated worldwide and in Russia, despite modern data challenges. ...
Added: June 24, 2026
Rovnov Y., Кудинская В. В., Закон 2026 № 6 С. 179–193
The article discusses a landmark case in recent strategic climate litigation — the lawsuit brought by Peruvian national Saúl Luciano Lliuya against the German energy giant RWE AG. In declining to find that the defendant was under an obligation to partially cover, in proportion to its share in global GHG emissions, the cost of measures ...
Added: June 23, 2026
NY: Routledge, 2026.
This book is a comprehensive study on how the national security sectors of China, India, Japan, Russia, and the United States have engaged the idea of climate change as an existential threat. Climate Change, National Security and Geopolitics examines the respective ways in which the five states have framed the issue of climate change in ...
Added: May 25, 2026
Andreeva E., Городские исследования и практики 2025 Т. Том 10 № 2 С. 109–133
Изменение климата и рост урбанизации создают новые вызовы для устойчивого развития городов. Конкурентоспособность городов напрямую зависит от того, как городская политика отвечает на вызовы, связанные с изменением климата. Интенсивные дожди становятся причиной затопленных улиц, домов, особенно в городах с устаревшей ливневой канализацией и низкой долей проницаемых поверхностей.
В ответ на вызовы, связанные с изменением климата и ...
Added: May 14, 2026
Dvoynikova A., Кагиров И., Карпов А. А., Информационно-управляющие системы 2022 № 5 (120) С. 12–22
Введение: решение автоматическими средствами задачи распознавания и оценивания степени вовлеченности пользователя в процесс человеко-машинного взаимодействия или телекоммуникации является актуальным в области компьютерного распознавания состояний человека. Это необходимо для проектирования приложений дистанционного обучения, бизнеса и развлечений. Цель: провести сравнительный анализ существующего информационного обеспечения и методов в области автоматического распознавания и оценивания вовлеченности пользователя в процесс человеко-машинного ...
Added: April 24, 2026
Sergey Kivalov, Lopes de Gerenyu V., Khoroshaev D. et al., Forests 2023 Vol. 14 No. 8 Article 1568
Soil respiration (SR) is a main component of the carbon cycle in terrestrial ecosystems,
and being strongly affected by changes in the environment, it is a good indicator of the ecosystem’s
ability to cope with climate change. This research aims to find better empirical SR models using
25-year-long SR monitoring in two forest ecosystems formed on sandy Entic ...
Added: April 24, 2026
Yury Rovnov, American Journal of International Law 2026 Vol. 120 No. 2 P. 371–379
This is a case note of two WTO panel reports in recent Palm Oil disputes. After providing an overview of the panel findings under Article 2.1 of the TBT Agreement, the note discusses what appears to be a modified legal standard for non-discrimination applied by the panel under this provision and the continued use of ...
Added: April 23, 2026
Alexander Demidovskij, Artyom Tugaryov, Igor Salnikov et al., , in: PRICAI 2025: Trends in Artificial Intelligence: 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17–21, 2025, Proceedings, Part IIIVol. 16453.: Springer, 2026. P. 603–612.
The backpropagation method is the predominant method for pre-training and fine-tuning of Large Language models. At the same time, it is considerably demanding in terms of memory and hardware. Therefore, it makes fine-tuning and pre-training very expensive, harmful for the environment due to the large carbon footprint, and raises the blocks for the development of ...
Added: April 21, 2026
Springer, 2026.
This proceedings contain the papers presented at the 22nd Pacific Rim International Conference on Artificial Intelligence (PRICAI), held on November 17–21, 2025 in Wellington, New Zealand. PRICAI 2025 was co-hosted with the 40th International Conference on Image and Vision Computing New Zealand (IVCNZ 2025) and the annual conference of the New Zealand Artificial Intelligence Researchers ...
Added: April 21, 2026
Pavlyukevich Ekaterina D., Krylenko I., Motovilov Y. et al., Water Resources 2025 Vol. 52 No. 2 P. S159–S171
A set of hydrometeorological models, has been used to assess the likely changes in Terek River runoff in the 21st century, taking into account climate and glaciation changes in the basin. It has been shown that runoff changes will range from –2 to +5% under the RCP 2.6 scenario and from –8 to +14% under ...
Added: April 3, 2026
Faizullin R., Imamov N., Tsoy T. et al., , in: Proceedings of the Fifth International Conference on Agriculture Digitalization and Organic Production (ADOP 2025), Volume 1. Robotics in Agriculture. (SIST, volume 453).: Springer, 2026. P. 25 – 34.
This article considers a dual problem of optimizing field coverage while minimizing a soil compaction and managing energy constraints of agricultural robots. The soil compaction in precision agriculture is a major challenge, as mobile robots are becoming increasingly common in field operations. A proposed optimization combines a soil compaction risk assessment with energy-efficient trajectory planning ...
Added: March 17, 2026
Иванов А. В., Марченко А. А., Бондарчук С. Н. et al., Лесоведение 2025 № 4 С. 515–524
For the first time, a variability analysis of phenological dates of woody plant development in connection with climate change was conducted for the conditions of Primorsky Krai. The study is based on a continuous (from 1987 to 2022) series of phenological observations for five tree species from the Nature Chronicle of the Sikhote-Alin Reserve. According ...
Added: February 27, 2026
Bernadotte A, Elfimov N., Menshikov I., Scientific data 2025 Vol. 13 No. 41
Accurate segmentation of brain vessels in magnetic resonance angiography (MRA) is essential for surgical procedures. Neural networks are powerful tools for medical image segmentation, but their development requires well-annotated datasets. However, publicly available MRA datasets with detailed vessel annotations are scarce. We present a dataset of 100 manually annotated brain MRA images from the IXI ...
Added: February 25, 2026