Results 51 to 60 of about 33,284,379 (304)

COVID‐19 in cancer patients: The impact of vaccination on outcomes early in the pandemic

Cancer Medicine, 2023
Background With the rapid evolution of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) pandemic, the development of effective and safe vaccines was of utmost importance to protect vulnerable individuals, including cancer patients ...
Fareed Khawaja, Georgios Angelidakis, Adina Feldman, Vinod Ravi, Eric Woodman, Micah Bhatti, Ella Ariza‐Heredia, Peter Elhajj, Amy Spallone, Ying Jiang, Roy F. Chemaly   +10 more
doaj   +1 more source

Generalized Data–Driven Predictive Control: Merging Subspace and Hankel Predictors

Mathematics, 2023
Data–driven predictive control (DPC) is becoming an attractive alternative to model predictive control as it requires less system knowledge for implementation and reliable data is increasingly available in smart engineering systems.
M. Lazar, P. C. N. Verheijen
doaj   +1 more source

Data-driven control on encrypted data

CoRR, 2020
We provide an efficient and private solution to the problem of encryption-aware data-driven control. We investigate a Control as a Service scenario, where a client employs a specialized outsourced control solution from a service provider. The privacy-sensitive model parameters of the client's system are either not available or variable.
Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas   +2 more
openaire   +2 more sources

Data informativity:A new perspective on data-driven analysis and control [PDF]

, 2020
The use of persistently exciting data has recently been popularized in the context of data-driven analysis and control. Such data have been used to assess system-theoretic properties and to construct control laws, without using a system model ...
van Waarde, Henk, Eising, Jaap, Camlibel, Kanat, Eising, Jaap; id_orcid, Trentelman, Harry L.   +4 more
core   +2 more sources

The neuron as a direct data-driven controller

Proceedings of the National Academy of Sciences
In the quest to model neuronal function amid gaps in physiological data, a promising strategy is to develop a normative theory that interprets neuronal physiology as optimizing a computational objective. This study extends current normative models, which primarily optimize prediction, by conceptualizing neurons as optimal feedback controllers. We posit
Jason J. Moore, Alexander Genkin, Magnus Tournoy, Joshua L. Pughe-Sanford, Rob R. de Ruyter van Steveninck, Dmitri B. Chklovskii   +5 more
openaire   +4 more sources

Data-Driven Control and Learning Systems

IEEE Transactions on Industrial Electronics, 2017
Any industry processes, aerospace systems, transportation systems, power grid systems, etc. are becoming more and more complex. Modeling the accurate physical models for these plants using first principles may be impossible or infeasible. Even if their physical models are available, they may be too complex to be tractable for controller design, system ...
Zhongsheng Hou, Huijun Gao, Frank L. Lewis   +2 more
openaire   +2 more sources

Data-driven and Model-based Verification: a Bayesian Identification Approach [PDF]

, 2015
This work develops a measurement-driven and model-based formal verification approach, applicable to systems with partly unknown dynamics. We provide a principled method, grounded on reachability analysis and on Bayesian inference, to compute the ...
Haesaert, S., S. Haesaert, P.M.J. Van den Hof, Van den Hof, P.M.J.; id_orcid, A. Abate, Hof, PMJ Paul van den, Abate, A., Van den Hof, P.M.J., Abate, A Alessandro, Haesaert, S Sofie   +9 more
core   +2 more sources

Data-Driven Decentralized Algorithm for Wind Farm Control with Population-Games Assistance

Energies, 2019
In wind farms, the interaction between turbines that operate close by experience some problems in terms of their power generation. Wakes caused by upstream turbines are mainly responsible of these interactions, and the phenomena involved in this case is ...
Julian Barreiro-Gomez, Carlos Ocampo-Martinez, Fernando D. Bianchi, Nicanor Quijano   +3 more
doaj   +1 more source

Exploring the Roles of Local Mobility Patterns, Socioeconomic Conditions, and Lockdown Policies in Shaping the Patterns of COVID-19 Spread

Future Internet, 2021
The COVID-19 crisis has shown that we can only prevent the risk of mass contagion through timely, large-scale, coordinated, and decisive actions. This pandemic has also highlighted the critical importance of generating rigorous evidence for decision ...
Mauricio Herrera, Alex Godoy-Faúndez
doaj   +1 more source

Infant Embryonal CNS Tumors: Molecular Insights and Treatment Considerations for Contemporary Pediatric Neuro‐Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan, Mariah Wright‐Nadkarni, Mohamed S. Abdelbaki, Girish Dhall   +3 more
wiley   +1 more source