Hamiltonian simulation for hyperbolic partial differential equations by scalable quantum circuits [PDF]
Yuki Sato +4 more
openalex +1 more source
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
Exploring complex dynamics in nonlinear Riemann wave models using fractional calculus-based expansion. [PDF]
Mumtaz A, Masood K, Shakeel M, Shah NA.
europepmc +1 more source
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
Identification of stochastic optical solitons in a generalized NLSE characterized by fourth order dispersion and weak nonlocality. [PDF]
Ahmed KK +5 more
europepmc +1 more source
Dissipative operators and hyperbolic systems of partial differential equations [PDF]
openaire +2 more sources
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
Exploring novel soliton, wave solutions, and modulation instability analysis for the (3+1)-dimensional KP-SKR equation using the improved generalized Riccati equation mapping approach. [PDF]
Kamel NM, Ahmed HM, Rabie WB.
europepmc +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Exploring the exact solutions of the Kuramoto-Sivashinsky equation with advection noise in fluid dynamics. [PDF]
Obeidat ST, Rizk D, Mohammed WW.
europepmc +1 more source

