Results 81 to 90 of about 137,250 (253)

Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes

Advanced Intelligent Systems, EarlyView.
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards, Thales C. Silva, M. Ani Hsieh   +2 more
wiley   +1 more source

Deim-based pgd for multi-parametric nonlinear model reduction [PDF]

, 2013
A new technique for efficiently solving parametric nonlinear reduced order models in the Proper Generalized Decomposition (PGD) framework is presented here.
Aguado, Jose V., Chinesta, Francisco, Cueto, Elías, Huerta, Antonio, Leygue, Adrien   +4 more
core  

Generalized Task‐Driven Design of Soft Robots via Reduced‐Order Finite Element Method‐Based Surrogate Modeling

Advanced Intelligent Systems, EarlyView.
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley   +1 more source

A computationally optimal randomized proper orthogonal decomposition technique [PDF]

2016 American Control Conference (ACC), 2016
In this paper, we consider the model reduction problem of large-scale systems, such as systems obtained through the discretization of partial differential equations. We propose a computationally optimal randomized proper orthogonal decomposition (RPOD*) technique to obtain the reduced order model by perturbing the primal and adjoint system using ...
Yu, Dan, Chakravorty, Suman
openaire   +2 more sources

Addressing Small Data Challenges in Biopharmaceutical Development and Manufacturing: A Mini Review of Multi‐Fidelity Techniques

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal, Uwe Aickelin, Ellen Otte   +2 more
wiley   +1 more source

Advanced multiscale modal and frequency analysis of swirling spray flame near to lean blowout

Case Studies in Thermal Engineering
This study provides an in-depth characterization of Jet-A1 swirled flames' dynamics using advanced decomposition techniques on high-speed OH* chemiluminescence images. Research conducted in a 300-kW combustor with global fuel-to-air ratios Φ = 0.36, 0.24,
Maria Grazia De Giorgi, Pasquale Di Gloria, Donato Fontanarosa, Antonio Ficarella   +3 more
doaj   +1 more source

Nanomaterial‐based immune therapeutic strategies in neurodegenerative diseases

BMEMat, EarlyView.
This review highlights the immunomodulatory potential of nanomaterials (NMs) in treating neurodegenerative diseases (NDs). It focuses on their roles in regulating innate and adaptive immune responses to maintain immune homeostasis. By providing insights into these mechanisms, the review lays the groundwork for innovative NMs therapeutic strategies to ...
Xinru Zhou, Jia Liu, Shulin Lai, Suhan Yin, Bingmin Luo, Longquan Shao, Yiyuan Kang   +6 more
wiley   +1 more source

Symplectic Model Reduction of Hamiltonian Systems [PDF]

, 2015
In this paper, a symplectic model reduction technique, proper symplectic decomposition (PSD) with symplectic Galerkin projection, is proposed to save the computational cost for the simplification of large-scale Hamiltonian systems while preserving the ...
Mohseni, Kamran, Peng, Liqian
core  

Marine silicon for biomedical sustainability

BMEMat, EarlyView.
Schematic illustrating marine silicon for biomedical engineering. Abstract Despite momentous divergence from oceanic origin, human beings and marine organisms exhibit elemental homology through silicon utilization. Notably, silicon serves as a critical constituent in multiple biomedical processes.
Yahui Han, Zhibo Yang, Wei Xia, Chengtie Wu   +3 more
wiley   +1 more source

Application of Proper Orthogonal Decomposition to Elucidate Spatial and Temporal Correlations in Air Pollution Across the City of Liverpool, UK

Urban Science
Understanding the spatiotemporal distribution of air pollution is critical for improving urban air quality. Advances in wireless sensor networks have made it possible to monitor air pollution across cities at higher spatiotemporal resolutions.
Cammy Acosta Ramírez, Jonathan E. Higham   +1 more
doaj   +1 more source