Results 51 to 60 of about 2,883,845 (315)

Application of Vision Transformers to Contamination Detection in Densely Cluttered Waste Scenes

IEEE Open Journal of the Computer Society
With the increasing global waste production, there is a rising need for improved waste management solutions to address this growing issue. In the United States, less than 35% of recyclable materials are actually recycled, leading to higher levels ...
Dishant Mewada, Cathaoir Agnew, Eoin M. Grua, Ciaran Eising, Patrick Denny, Mark Heffernan, Ken Tierney, Pepijn Van de Ven, Anthony Scanlan   +8 more
doaj   +1 more source

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   +1 more source

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

Non-Iterative Data-Driven Tuning of Model-Free Control Based on an Ultra-Local Model

IEEE Access, 2022
In this paper, we present a data-driven tuning method for model-free control based on an ultra-local model (MFC-ULM), which is also called intelligent proportional-integral-derivative control.
Shuichi Yahagi, Itsuro Kajiwara
doaj   +1 more source

Noniterative Data-Driven Gain-Scheduled Controller Design Based on Fictitious Reference Signal

IEEE Access, 2023
This paper proposes a noniterative direct data-driven gain-scheduled control. Gain-scheduled proportional–integral–derivative (PID) control is one of the most popular approaches for nonlinear systems.
Shuichi Yahagi, Itsuro Kajiwara
doaj   +1 more source

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   +3 more sources

On the linear quadratic data-driven control

, 2007
The classical approach for solving control problems is model based: first a model representation is derived from given data of the plant and then a control law is synthesized using the model and the control specifications.
Paolo Rapisarda, Markovsky, Ivan, Ivan Markovsky, Rapisarda, Paolo   +3 more
core   +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

Offset–free data–driven predictive control

, 2023
This paper presents a tutorial overview of model predictive control (MPC), subspace predictive control (SPC) and data-enabled predictive control (DeePC), with emphasis on offset-free design.
Verheijen, P.C.N., Lazar, M.
core   +1 more source

Localized Data-Driven Consensus Control

IEEE Transactions on Automatic Control
This paper considers a localized data-driven consensus problem for leader-follower multi-agent systems with unknown discrete-time agent dynamics, where each follower computes its local control gain using only their locally collected state and input data.
Zeze Chang, Junjie Jiao, Zhongkui Li
openaire   +2 more sources