Results 31 to 40 of about 760,919 (298)
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
International Journal of Adaptive Control and Signal Processing, EarlyView.Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
Gradience and optionality in the syntactic realization of focus
IsoglossThe goal of this paper is to analyse the optionality and gradience observed in the syntactic distribution of information focus in three Romance languages: Catalan, Spanish and Italian.
Silvio Cruschina, Laia Mayol
doaj +1 more source
Comparison Between Bayesian and Maximum Entropy Analyses of Flow Networks†
Entropy, 2017 We compare the application of Bayesian inference and the maximum entropy (MaxEnt) method for the analysis of flow networks, such as water, electrical and transport networks.
Steven H. Waldrip, Robert K. Niven
doaj +1 more source
Robust Cuboid Modeling from Noisy and Incomplete 3D Point Clouds Using Gaussian Mixture Model
Remote Sensing, 2022 A cuboid is a geometric primitive characterized by six planes with spatial constraints, such as orthogonality and parallelism. These characteristics uniquely define a cuboid.
Woonhyung Jung, Janghun Hyeon, Nakju Doh
doaj +1 more source
Soft Constraint Automata with Memory [PDF]
, 2018 In this paper, we revise the notion of Soft Constraint Automata, where automata transitions are weighted and consequently each action is associated with a preference value. We first relax the underlying algebraic structure that models preferences, with the purpose to use bipolar preferences (i.e., both positive and negative ones).
Dokter, Kasper +2 more
openaire +2 more sources
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
On Global Warming (Softening Global Constraints) [PDF]
, 2004 We describe soft versions of the global cardinality constraint and the regular constraint, with efficient filtering algorithms maintaining domain consistency. For both constraints, the softening is achieved by augmenting the underlying graph.
Pesant, Gilles +2 more
core +2 more sources
Advanced Engineering Materials, EarlyView.Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
High-Accuracy Parallel Neural Networks with Hard Constraints for a Mixed Stokes/Darcy Model
EntropyIn this paper, we study numerical algorithms based on Physics-Informed Neural Networks (PINNs) for solving a mixed Stokes/Darcy model that describes a fluid flow coupled with a porous media flow.
Zhulian Lu, Junyang Zhang, Xiaohong Zhu
doaj +1 more source
Soft Constraints for Quality Aspects in Service Oriented Architectures [PDF]
Electronic Proceedings in Theoretical Computer Science, 2009 We propose the use of Soft Constraints as a natural way to model Service Oriented Architecture. In the framework, constraints are used to model components and connectors and constraint aggregation is used to represent their interactions.
Stefano Bistarelli, Francesco Santini
doaj +1 more source