Results 61 to 70 of about 491,707 (327)
Real Computational Universality: The Word Problem for a class of groups with infinite presentation [PDF]
, 2006 The word problem for discrete groups is well-known to be undecidable by a Turing Machine; more precisely, it is reducible both to and from and thus equivalent to the discrete Halting Problem.
Meer, Klaus, Ziegler, Martin
core +4 more sources
International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
wiley +1 more source
Scientific Reports, 2021 The key objective of the present research is to examine the hybrid magnetohydrodynamics (MHD) nanofluid (Carbon-nanotubes and ferrous oxide–water) CNT–Fe 3 O 4/H 2 flow into a horizontal parallel channel with thermal radiation through squeezing and ...
Muhammad Bilal +4 more
doaj +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
Scientific Reports, 2021 Entropy optimization in convective viscous fluids flow due to a rotating cone is explored. Heat expression with heat source/sink and dissipation is considered. Irreversibility with binary chemical reaction is also deliberated. Nonlinear system is reduced
Yong-Min Li +5 more
doaj +1 more source
Efficient algorithms for tensor scaling, quantum marginals and moment polytopes
, 2018 We present a polynomial time algorithm to approximately scale tensors of any format to arbitrary prescribed marginals (whenever possible). This unifies and generalizes a sequence of past works on matrix, operator and tensor scaling.
Bürgisser, P. +6 more
core +2 more sources
Toughness of Confined Auxetic Foams
Advanced Engineering Materials, EarlyView.Auxetic (negative Poisson's ratio) materials offer benefits such as impact mitigation, thermal insulation, vibration damping, and reduced shear strain, although their fracture mechanics are largely unexplored. This study investigates damage initiation and propagation in confined re‐entrant auxetic foams from polyurethane via experimental ...
Adrianos E. F. Athanasiadis +3 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This article presents a comprehensive analysis of the intrinsic relationships and applicability of Hill48 yield criterion. The applicability and error evaluation conditions for Hill48 are established based on specific experimental data. A parameter calibration strategy for N‐value based on error minimization is proposed, and the predictive accuracy is ...
Jinxin Wang +9 more
wiley +1 more source
Scientific Reports, 2022 Nanoparticles are used in industrial and engineering by allowing for faster heat transfer rates in microchips, vehicle cooling, food processing, and nuclear reactors.
Umar Farooq +4 more
doaj +1 more source