Results 41 to 50 of about 25,267,562 (240)

Accelerated Re-Design of Antenna Structures Using Sensitivity-Based Inverse Surrogates

IEEE Access, 2020
The paper proposes a novel framework for accelerated re-design (dimension scaling) of antenna structures using inverse surrogates. The major contribution of the work is a sensitivity-based model identification procedure, which permits a significant ...
Slawomir Koziel, Adrian Bekasiewicz
doaj   +1 more source

Tensor Decompositions for Modeling Inverse Dynamics

, 2017
Modeling inverse dynamics is crucial for accurate feedforward robot control. The model computes the necessary joint torques, to perform a desired movement.
Baier, Stephan, Tresp, Volker
core   +1 more source

Optimal control models of the goal-oriented human locomotion [PDF]

, 1995
In recent papers it has been suggested that human locomotion may be modeled as an inverse optimal control problem. In this paradigm, the trajectories are assumed to be solutions of an optimal control problem that has to be determined.
A Abramovici, A Albrecht, A Guth, A Guth, A Linde, A Linde, AA Starobinski, AA Tseytlin, AR Liddle, B Campbell, C Angelantonj, CE Reece, CM Caves, E Martinec, EJ Copeland, F Pegaro, G Veneziano, G Veneziano, J Levin, JM Bardeen, K Behrndt, K Kounnas, KS Thorne, M Cvetic, M Gasperini, M Gasperini, M Gasperini, M Gasperini, MK Gaillard, R Brustein, R Brustein, R Brustein, R Brustein, R Brustein, SW Hawking, V Mukhanov, V Mukhanov   +36 more
core   +3 more sources

Machine learning models predict the emergence of depression in Argentinean college students during periods of COVID-19 quarantine

Frontiers in Psychiatry
IntroductionThe COVID-19 pandemic has exacerbated mental health challenges, particularly depression among college students. Detecting at-risk students early is crucial but remains challenging, particularly in developing countries.
Lorena Cecilia López Steinmetz, Lorena Cecilia López Steinmetz, Margarita Sison, Rustam Zhumagambetov, Juan Carlos Godoy, Stefan Haufe, Stefan Haufe, Stefan Haufe, Stefan Haufe   +8 more
doaj   +1 more source

Inverse modeling of European CH4 emissions: sensitivity to the observational network [PDF]

, 2009
Inverse modeling is widely employed to provide “top-down” emission estimates using atmospheric measurements. Here, we analyze the dependence of derived CH4 emissions on the sampling frequency and density of the observational surface network, using the ...
Bergamaschi, P., Dentener, F., Krol, M.C., Meirink, J.F., Villani, M.G.   +4 more
core   +2 more sources

Generalized inverse patchy colloid model [PDF]

The Journal of Chemical Physics, 2015
We generalize the inverse patchy colloid model that was originally developed for heterogeneously charged particles with two identical polar patches and an oppositely charged equator to a model that can have a considerably richer surface pattern.
Stipsitz, Monika, Kahl, Gerhard, Bianchi, Emanuela   +2 more
openaire   +3 more sources

Investigating complex networks with inverse models: analytical aspects of spatial leakage and connectivity estimation

, 2015
Network theory and inverse modeling are two standard tools of applied physics, whose combination is needed when studying the dynamical organization of spatially distributed systems from indirect measurements.
Wens, Vincent
core   +1 more source

Precision and systematic errors in global helioseismology mode fitting and inversions: Leveraging some 25 years of nearly uninterrupted observations

Frontiers in Astronomy and Space Sciences, 2023
We have on hand some 25 years of nearly uninterrupted high-quality and high-cadence global helioseismic data. The Global Oscillations Network Group (GONG) project has been producing science quality data since 1995, the Michelson Doppler Imager (MDI ...
Sylvain G. Korzennik
doaj   +1 more source

Inverse Modeling of Hydrologic Systems with Adaptive Multifidelity Markov Chain Monte Carlo Simulations [PDF]

Water Resources Research, 2017
Markov chain Monte Carlo (MCMC) simulation methods are widely used to assess parametric uncertainties of hydrologic models conditioned on measurements of observable state variables.
Jiangjiang Zhang, J. Man, Guang Lin, Laosheng Wu, L. Zeng   +4 more
semanticscholar   +1 more source

A hybrid ANN-PSO approach for self-tuning parameters of polycrystalline photovoltaic arrays

Scientific Reports
This paper introduces a novel, self-tuning equivalent circuit model for polycrystalline photovoltaic (PV) modules to overcome the accuracy limitations of conventional fixed-parameter models under dynamic climatic conditions.
Zouhir Boumous, Samira Boumous, Moussa Sedraoui, Mohcene Bechouat, Cyrus Wabuge Wekesa, Ramazan Ayaz   +5 more
doaj   +1 more source