Zobrazeno 1 - 10
of 783
pro vyhledávání: '"Papandreou Suppappola, A."'
A low-power, compact device for performing measurements in electrical systems with isolated voltage domains is proposed. Isolated measurements are required in numerous applications. For instance, a measurement of the bus voltage for a system with a h
Externí odkaz:
http://arxiv.org/abs/2402.18758
The problem of sequentially transferring from a source object track and a model to another Bayesian filter has become ubiquitous. Due to the lack of a structural model that can capture the dependence among different models, the transfer may not be fu
Externí odkaz:
http://arxiv.org/abs/2210.13232
Publikováno v:
Frontiers in Signal Processing, Vol 4 (2024)
Introduction: Gene regulatory networks (GRNs) are characterized by their dynamism, meaning that the regulatory interactions which constitute these networks evolve with time. Identifying when changes in the GRN architecture occur can inform our unders
Externí odkaz:
https://doaj.org/article/42c4ce049fdc4cc7a10151dca679d0d3
Robust tracking of a target in a clutter environment is an important and challenging task. In recent years, the nearest neighbor methods and probabilistic data association filters were proposed. However, the performance of these methods diminishes as
Externí odkaz:
http://arxiv.org/abs/2012.09785
Publikováno v:
Frontiers in Signal Processing, Vol 2 (2022)
We consider the problem of a primary source tracking a moving object under time-varying and unknown noise conditions. We propose two methods that integrate sequential Bayesian filtering with transfer learning to improve tracking performance. Within t
Externí odkaz:
https://doaj.org/article/239d37b7ff4d46fdb53a86ef93c38b3e
Publikováno v:
Frontiers in Signal Processing; 2024, p1-16, 16p
Publikováno v:
Sensors, Vol 22, Iss 1, p 388 (2022)
The paper considers the problem of tracking an unknown and time-varying number of unlabeled moving objects using multiple unordered measurements with unknown association to the objects. The proposed tracking approach integrates Bayesian nonparametric
Externí odkaz:
https://doaj.org/article/099a7705cbc8420eaed768d91966dfdb
Autor:
Banavar, Mahesh K., Zhang, Jun J., Chakraborty, Bhavana, Kwon, Homin, Li, Ying, Jiang, Huaiguang, Spanias, Andreas, Tepedelenlioglu, Cihan, Chakrabarti, Chaitali, Papandreou-Suppappola, Antonia
Publikováno v:
In Digital Signal Processing April 2015 39:1-14
Publikováno v:
Cancer Informatics, Vol 2015, Iss Suppl. 2, Pp 219-233 (2015)
Externí odkaz:
https://doaj.org/article/477b628fff284115960192969f098ede
Publikováno v:
2022 56th Asilomar Conference on Signals, Systems, and Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dac39063ffa9434e2d882e1b1f7531ce
https://doi.org/10.1109/ieeeconf56349.2022.10051930
https://doi.org/10.1109/ieeeconf56349.2022.10051930