Zobrazeno 1 - 10
of 2 079
pro vyhledávání: '"A. A. Kornilova"'
Publikováno v:
Неврология, нейропсихиатрия, психосоматика, Vol 15, Iss 1, Pp 18-27 (2023)
The most important component of the treatment effectiveness is the adherence of patients to the recommendations of the attending physician, which can affect the course and prognosis of the disease. The problem of adherence in cerebrovascular disease
Externí odkaz:
https://doaj.org/article/acf0233225394eb0b7a00db2395b3b07
Autor:
M. M. Tanashyan, A. A. Raskurazhev, A. A. Kornilova, A. A. Shabalina, D. A. Abaimov, A. V. Naminov
Publikováno v:
Рациональная фармакотерапия в кардиологии, Vol 17, Iss 4, Pp 537-543 (2021)
Aim. Evaluation of various methods for determining the effectiveness of aspirin therapy and aspirin resistance in patients with cerebrovascular disease (CVD) depending on the presence of type 2 diabetes mellitus (T2DM).Materials and methods. The pros
Externí odkaz:
https://doaj.org/article/d6595df6be004ef38bad0a45dfd0bd01
Publikováno v:
Robotics and Autonomous Systems 183 (2025) 104837
Aerial imagery and its direct application to visual localization is an essential problem for many Robotics and Computer Vision tasks. While Global Navigation Satellite Systems (GNSS) are the standard default solution for solving the aerial localizati
Externí odkaz:
http://arxiv.org/abs/2406.00885
Publikováno v:
Бюллетень сибирской медицины, Vol 18, Iss 4, Pp 249-255 (2020)
The article deals with a clinical case description of a female patient with toxic encephalopathy against the background of Ph-negative myeloproliferative diseases. The article discusses symptoms and neuroimaging of hepatic encephalopathy developed as
Externí odkaz:
https://doaj.org/article/14bfce17bc9b4aefb6fd7015fa308f04
Recently, significant progress has been achieved in sensing real large-scale outdoor 3D environments, particularly by using modern acquisition equipment such as LiDAR sensors. Unfortunately, they are fundamentally limited in their ability to produce
Externí odkaz:
http://arxiv.org/abs/2403.17550
Autor:
Perauer, Cedric, Heidrich, Laurenz Adrian, Zhang, Haifan, Nießner, Matthias, Kornilova, Anastasiia, Artemov, Alexey
Recently, progress in acquisition equipment such as LiDAR sensors has enabled sensing increasingly spacious outdoor 3D environments. Making sense of such 3D acquisitions requires fine-grained scene understanding, such as constructing instance-based 3
Externí odkaz:
http://arxiv.org/abs/2403.16318
The influence of the tensor interaction of nucleons on the characteristics of neutron-rich silicon and nickel isotopes was studied in this work. Tensor forces are taken into account within the framework of the Hartree-Fock approach with the Skyrme in
Externí odkaz:
http://arxiv.org/abs/2401.11438
Autor:
Moraes, Felipe, Proença, Hugo Manuel, Kornilova, Anastasiia, Albert, Javier, Goldenberg, Dmitri
Uplift modeling is a collection of machine learning techniques for estimating causal effects of a treatment at the individual or subgroup levels. Over the last years, causality and uplift modeling have become key trends in personalization at online e
Externí odkaz:
http://arxiv.org/abs/2308.09066
Autor:
Boyko, Alexey I., Kornilova, Anastasiia, Tariverdizadeh, Rahim, Musavian, Mirfarid, Markeeva, Larisa, Oseledets, Ivan, Ferrer, Gonzalo
This paper addresses the following research question: ``can one compress a detailed 3D representation and use it directly for point cloud registration?''. Map compression of the scene can be achieved by the tensor train (TT) decomposition of the sign
Externí odkaz:
http://arxiv.org/abs/2304.05342
Modern depth sensors can generate a huge number of 3D points in few seconds to be latter processed by Localization and Mapping algorithms. Ideally, these algorithms should handle efficiently large sizes of Point Clouds under the assumption that using
Externí odkaz:
http://arxiv.org/abs/2304.01055