Results 31 to 40 of about 341,603 (246)
Risk‐aware safe reinforcement learning for control of stochastic linear systems
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili +2 more
wiley +1 more source
A model for blend electrodes is developed, parameterized, and validated using experimental data from a SiOx/Gr electrode. The model provides information about local states, such as the degree of lithiation or material‐specific C‐rates, distinguishing between the two active materials.
Maximilian Schamel +3 more
wiley +1 more source
This article explores the dynamics of replacing three silver atoms by one gold atom (galvanic replacement reaction [GRR]) within silver nanoparticles. The reaction is tracked experimentally using open circuit potential and then mathematically fitted to a sigmoidal kinetic function inspired by autocatalytic and enzymatic cascade reaction functions to ...
Bonito Aristide Karamoko, Yaovi Holade
wiley +1 more source
Mathematics embodied: Merleau-Ponty on geometry and algebra as fields of motor enaction [PDF]
Jan Halák
openalex +1 more source
Abstract The German Research Foundation has established the priority program SPP 100+. Its subject is monitoring bridge structures in civil engineering. The data‐driven methods cluster deals with the use of measurements and their special global and local analysis methods, which complement each other in an overall multi‐scale concept in order to realize
Maximilian Rohrer +13 more
wiley +1 more source
An Efficient and Unified Modeling Framework for Trickle Bed Reactors: A Modular Approach
This review gives an insight in modeling and designing techniques for multiphase catalytic reactors and their associated limitations and potential improvements. To enhance the predictive capabilities and capture events that take place on different scales, a modular approach is proposed.
Vasileios K. Mappas +4 more
wiley +1 more source
How to measure statistical evidence and its strength: Bayes factors or relative belief ratios?
Abstract Both the Bayes factor and the relative belief ratio satisfy the principle of evidence and are therefore valid measures of statistical evidence. Which of these measures of evidence is more appropriate? We argue here that there are questions concerning the validity of a commonly used definition of the Bayes factor based on a mixture prior, and ...
Luai Al‐Labadi +2 more
wiley +1 more source
Subuniformity of harmonic mean p$$ p $$‐values
Abstract We obtain several inequalities on the generalized means of dependent p$$ p $$‐values. In particular, the weighted harmonic mean of p$$ p $$‐values is strictly subuniform under several dependence assumptions of p$$ p $$‐values, including independence, negative upper orthant dependence, the class of extremal mixture copulas, and some Clayton ...
Yuyu Chen +3 more
wiley +1 more source
Ibadan Lectures on Toric Varieties
Toric varieties are perhaps the most accessible class of algebraic varieties. They often arise as varieties parameterized by monomials, and their structure may be completely understood through objects from geometric combinatorics.
Sottile, Frank
core
SOME OPEN PROBLEMS IN COMPUTATIONAL ALGEBRAIC GEOMETRY
The development of computational techniques in the last decade has made possible to attack some classical problems of algebraic geometry from a computational viewpoint.
T. Shaska
semanticscholar +1 more source

