Results 111 to 120 of about 2,013,353 (284)

Learning regime‐dependent governing equations: A symbolic decision tree approach

AIChE Journal, EarlyView.
Abstract Many chemical engineering systems are governed by mechanisms that switch across operating regimes, making the data‐driven discovery of regime‐dependent governing equations essential for predictive modeling, optimization, and control. We propose symbolic decision trees for the data‐driven discovery of regime‐dependent governing equations.
Ilias Mitrai, Tongjia Liu, Gabriel E. Sanoja   +2 more
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Discontinuous almost automorphic functions and almost automorphic solutions of differential equations with piecewise constant arguments

Electronic Journal of Differential Equations, 2014
In this article we introduce a class of discontinuous almost automorphic functions which appears naturally in the study of almost automorphic solutions of differential equations with piecewise constant argument.
Alan Chavez, Samuel Castillo, Manuel Pinto   +2 more
doaj  

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

A Novel Parameter Estimation Method for Pneumatic Soft Hand Control Applying Logarithmic Decrement for Pseudo‐Rigid Body Modeling

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
In this research, a paradigm of parameter estimation method for pneumatic soft hand control is proposed. The method includes the following: 1) sampling harmonic damping waves, 2) applying pseudo‐rigid body modeling and the logarithmic decrement method, and 3) deriving position and force control.
Haiyun Zhang, Kelvin HoLam Heung, Gabrielle J. Naquila, Ashwin Hingwe, Ashish D. Deshpande   +4 more
wiley   +1 more source

From Swarm to Individual: Emergent Individuality in Light‐Mediated Robot Collectives

Advanced Intelligent Systems, EarlyView.
Can individuality emerge from a swarm? Using nominally homogeneous phototactic robots, we show that collective light conditions reorganize robot‐level behavioral profiles. Global illumination amplifies persistent differences in state occupancy, while robot‐mounted local light cues reduce fixed differentiation and favor transient high‐switching profiles.
John Smith, Atsushi Masumori, Norihiro Maruyama, Takahide Yoshida, Takashi Ikegami   +4 more
wiley   +1 more source

Uniform approximation of a class of impulsive delayed Hopfield neural networks on the half-line

Electronic Journal of Qualitative Theory of Differential Equations
In this work, we investigate a uniform approximation of a nonautonomous delayed CNN-Hopfield-type impulsive system with an associated impulsive differential system where a partial discretization is introduced with the help of piecewise constant arguments.
Ferenc Hartung, Manuel Pinto, Ricardo Torres   +2 more
doaj   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

On the Integral Manifold for a System of Differential Equations with Piecewise Constant Argument

Journal of Mathematical Analysis and Applications, 1996
The paper deals with the system of differential equations \(x'(t) = B(t)x([t]) + f(t,x(t), y(t))\), \(y'(t) = A(t) y(t) + C(t)y ([t]) + g(t, x(t), y(t))\) and the existence of a solution (x(t), y(t))\(, t \in \mathbb{R}\) as well as of an integral manifold are investigated.
openaire   +2 more sources