Zobrazeno 1 - 10
of 142
pro vyhledávání: '"Raju Vatsavai"'
Publikováno v:
Case Reports in Vascular Medicine, Vol 2022 (2022)
In young adults, spontaneous craniocervical arterial dissections (sCAD), which involve the major arteries of the head and neck, are associated with an increased risk of stroke. sCAD occurs in the absence of major trauma as seen in traumatic craniocer
Externí odkaz:
https://doaj.org/article/d9779201a35d4f5baaea1e4ebc1500ca
Autor:
Derek Van Berkel, Ashwin Shashidharan, Rua S. Mordecai, Raju Vatsavai, Anna Petrasova, Vaclav Petras, Helena Mitasova, John B. Vogler, Ross K. Meentemeyer
Publikováno v:
Land, Vol 8, Iss 10, p 144 (2019)
Increasing population and rural to urban migration are accelerating urbanization globally, permanently transforming natural systems over large extents. Modelling landscape change over large regions, however, presents particular challenges due to loca
Externí odkaz:
https://doaj.org/article/3e2c962576ca43f8917c7e506e463007
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 4699-4712 (2023)
Machine learning methods using aerial imagery (satellite and unmanned-aerial-vehicles-based imagery) have been extensively used for crop classification. Traditionally, per-pixel-based, object-based, and patch-based methods have been used for classify
Externí odkaz:
https://doaj.org/article/ae611cf7aadc4de8bf664111d6ea27bd
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 12:88-100
Finding anomalous regions in spatiotemporal climate data is an important problem with a need for greater accuracy. The collective and contextual nature of anomalies (e.g., heat waves) coupled with ...
Publikováno v:
Machine Vision and Applications. 32
This work introduces a new approach to localize anomalies in surveillance video. The main novelty is the idea of using a Siamese convolutional neural network to learn a metric between a pair of video patches (spatiotemporal regions of video). The lea
Publikováno v:
ICPR
The Mean Teacher (MT) model of Tarvainen and Valpola has shown favorable performance on several semi-supervised benchmark datasets. MT maintains a teacher model's weights as the exponential moving average of a student model's weights and minimizes th
In this effort we consider a reinforcement learning (RL) technique for solving personalization tasks with complex reward signals. In particular, our approach is based on state space clustering with the use of a simplistic $k$-means algorithm as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::871ff43bbb59c1f82289080f796833e6