Zobrazeno 1 - 10
of 4 644
pro vyhledávání: '"Mulugeta P"'
Recent advancements in artificial intelligence promise ample potential in monitoring applications with surveillance cameras. However, concerns about privacy and model bias have made it challenging to utilize them in public. Although de-identification
Externí odkaz:
http://arxiv.org/abs/2410.18717
A fundamental challenge in developing data-driven approaches to ecological systems for tasks such as state estimation and prediction is the paucity of the observational or measurement data. For example, modern machine-learning techniques such as deep
Externí odkaz:
http://arxiv.org/abs/2410.07368
Autor:
Asres, Mulugeta Weldezgina, Omlin, Christian Walter, Wang, Long, Parygin, Pavel, Yu, David, Dittmann, Jay, Collaboration, The CMS-HCAL
The proliferation of sensors brings an immense volume of spatio-temporal (ST) data in many domains for various purposes, including monitoring, diagnostics, and prognostics applications. Data curation is a time-consuming process for a large volume of
Externí odkaz:
http://arxiv.org/abs/2408.16612
Generating audio from a video's visual context has multiple practical applications in improving how we interact with audio-visual media - for example, enhancing CCTV footage analysis, restoring historical videos (e.g., silent movies), and improving v
Externí odkaz:
http://arxiv.org/abs/2404.17608
Autor:
Asres, Mulugeta Weldezgina, Omlin, Christian Walter, Dittmann, Jay, Parygin, Pavel, Hiltbrand, Joshua, Cooper, Seth I., Cummings, Grace, Yu, David
Identifying outlier behavior among sensors and subsystems is essential for discovering faults and facilitating diagnostics in large systems. At the same time, exploring large systems with numerous multivariate data sets is challenging. This study pre
Externí odkaz:
http://arxiv.org/abs/2404.08453
Autor:
Tola, Dagne Wordofa, Bekele, Mulugeta
The study of nonequilibrium steady-state (NESS) in the Ising model offers rich insights into the properties of complex systems far from equilibrium. This paper explores the nature of NESS phase transitions in two-dimensional (2D) ferromagnetic Ising
Externí odkaz:
http://arxiv.org/abs/2403.06162
Autor:
Panahi, Shirin, Kong, Ling-Wei, Moradi, Mohammadamin, Zhai, Zheng-Meng, Glaz, Bryan, Haile, Mulugeta, Lai, Ying-Cheng
Anticipating a tipping point, a transition from one stable steady state to another, is a problem of broad relevance due to the ubiquity of the phenomenon in diverse fields. The steady-state nature of the dynamics about a tipping point makes its predi
Externí odkaz:
http://arxiv.org/abs/2402.14877
Autor:
Abebe M. Aga, Demise Mulugeta, Atsbeha Gebreegziabxier, Jemal Mohammed, Anberber Alemu, Yewenshet Tesera, Frehiwot Mulugeta, Bedasa Gidisa, Jaleta Bulti, Gemechu Tadesse, Fanos Tadesse Woldemariyam, Dereje Nigussie
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background The COVID-19 disease requires accurate diagnosis to effectively manage infection rates and disease progression. The study aims to assess the relationship between vaccination status and RT-PCR cycle threshold (Ct) values by compari
Externí odkaz:
https://doaj.org/article/368a22fe2cf94a39bc4670e9aaa63fab
Complex and nonlinear dynamical systems often involve parameters that change with time, accurate tracking of which is essential to tasks such as state estimation, prediction, and control. Existing machine-learning methods require full state observati
Externí odkaz:
http://arxiv.org/abs/2311.09142
Autor:
Asres, Mulugeta Weldezgina, Omlin, Christian Walter, Wang, Long, Yu, David, Parygin, Pavel, Dittmann, Jay, Karapostoli, Georgia, Seidel, Markus, Venditti, Rosamaria, Lambrecht, Luka, Usai, Emanuele, Ahmad, Muhammad, Menendez, Javier Fernandez, Maeshima, Kaori, Collaboration, the CMS-HCAL
The compact muon solenoid (CMS) experiment is a general-purpose detector for high-energy collision at the large hadron collider (LHC) at CERN. It employs an online data quality monitoring (DQM) system to promptly spot and diagnose particle data acqui
Externí odkaz:
http://arxiv.org/abs/2311.04190