Results 81 to 90 of about 883,688 (342)
Advanced Intelligent Discovery, EarlyView.This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
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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 +2 more
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The American Medical Association’s Work for Consumer Protection [PDF]
, 1933 The aim of the given paper is the development of an approach for the identification of affine Wiener systems with piecewise linear nonlinearities, i.e.
Fishbein, Morris
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Fractal dimensions of continuous piecewise linear iterated function systems [PDF]
, 2023 R. D. Prokaj, P. Raith, Károly Simon
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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 +4 more
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A polynomial algorithm for packing unit squares in a hypograph of a piecewise linear function
Open Engineering, 2017 We consider the problem of packing the maximal number of unit squares in a hypograph of a function. A polynomial time algorithm is described to solve this problem for a piecewise linear function.
Arslanov Marat +2 more
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A block Krylov subspace time-exact solution method for linear ODE systems [PDF]
, 2012 We propose a time-exact Krylov-subspace-based method for solving linear ODE (ordinary differential equation) systems of the form $y'=-Ay + g(t)$ and $y''=-Ay + g(t)$, where $y(t)$ is the unknown function. The method consists of two stages.
Botchev, M.A.
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Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
Advanced Intelligent Systems, EarlyView.This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
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Piecewise-Linear Lyapunov Functions for Linear Stationary Systems
Automation and Remote Control, 2002 The paper deals with piecewise-linear Lyapunov functions for the linear stationary system described by the vector differential equation \[ \frac {dx}{dt}=Ax,\quad x\in \mathbb R^N, \] where \(A\) is a real \(N\times N\)-matrix with constant elements. A Lyapunov function for this system can be constructed in the class of piecewise-linear functions as ...
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AIMS MathematicsOur study analyzes the two models of the nonlinear Schrödinger equation (NLSE) with polynomial law nonlinearity by powerful and comprehensible techniques, such as the variational principle method and the amplitude ansatz method.
Aly R. Seadawy , Bayan Alsaedi
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