Zobrazeno 1 - 10
of 6 246
pro vyhledávání: '"Bazhenov A"'
Publikováno v:
E3S Web of Conferences, Vol 539, p 02035 (2024)
One of the main tasks of using remote sensing in agriculture for precision farming purposes is to identify management zones or management zones within which the timing and parameters of agrotechnical measures differ significantly. To clarify the boun
Externí odkaz:
https://doaj.org/article/cc09ee36082346d89ba16ef02dffa7bb
This paper presents a novel approach to building mission planners based on neural networks with Transformer architecture and Large Language Models (LLMs). This approach demonstrates the possibility of setting a task for a mobile robot and its success
Externí odkaz:
http://arxiv.org/abs/2411.05107
In the last years there has been a growing interest in the study of learning problems associated with algebraic structures. The framework we use models the scenario in which a learner is given larger and larger fragments of a structure from a given t
Externí odkaz:
http://arxiv.org/abs/2410.22933
Publikováno v:
2024 International Joint Conference on Neural Networks (IJCNN)
Artificial neural networks (ANNs) show limited performance with scarce or imbalanced training data and face challenges with continuous learning, such as forgetting previously learned data after new tasks training. In contrast, the human brain can lea
Externí odkaz:
http://arxiv.org/abs/2410.16154
Tabular machine learning is an important field for industry and science. In this field, table rows are usually treated as independent data samples, but additional information about relations between them is sometimes available and can be used to impr
Externí odkaz:
http://arxiv.org/abs/2409.14500
Autor:
Satsevich, Sergei, Savotin, Yaroslav, Belov, Danil, Pestova, Elizaveta, Erhov, Artem, Khabibullin, Batyr, Bazhenov, Artem, Kovalev, Vyacheslav, Fedoseev, Aleksey, Tsetserukou, Dzmitry
This paper introduces a system of data collection acceleration and real-to-sim transferring for surface recognition on a quadruped robot. The system features a mechanical single-leg setup capable of stepping on various easily interchangeable surfaces
Externí odkaz:
http://arxiv.org/abs/2407.15622
Publikováno v:
Naučno-Tehničeskij Vestnik Brânskogo Gosudarstvennogo Universiteta, Vol 5, Iss 4, Pp 510-515 (2019)
Conveyor transport is widely used in various sectors of the economy. Very common are conveyors designed to move bulk cargo at significant angles of transportation, the so-called steeply inclined conveyors. At the same time, the theoretical aspects of
Externí odkaz:
https://doaj.org/article/f991e3d17af84ccc9dad05e48606d2e6
Mammalian brains handle complex reasoning by integrating information across brain regions specialized for particular sensory modalities. This enables improved robustness and generalization versus deep neural networks, which typically process one moda
Externí odkaz:
http://arxiv.org/abs/2406.05120
The performance of artificial neural networks (ANNs) degrades when training data are limited or imbalanced. In contrast, the human brain can learn quickly from just a few examples. Here, we investigated the role of sleep in improving the performance
Externí odkaz:
http://arxiv.org/abs/2402.10956
We adapt the classical notion of learning from text to computable structure theory. Our main result is a model-theoretic characterization of the learnability from text for classes of structures. We show that a family of structures is learnable from t
Externí odkaz:
http://arxiv.org/abs/2402.05744