Results 21 to 30 of about 21,944 (260)

Recursive neural networks: recent results and applications [PDF]

SHS Web of Conferences, 2022
Neural Network’s basic principles and functions are based on the nervous system of living organisms, they aim to simulate neurons of the human brain to solve complicated real-world problems by working in a forward-only manner.
Zelios Andreas, Grammenos Achilleas, Papatsimouli Maria, Asimopoulos Nikolaos, Fragulis George   +4 more
doaj   +1 more source

On the Structure and Realization of Real-Time Coding and Estimation Over Noiseless Channel

IEEE Access, 2021
This paper presents the optimal structural analysis and realization scheme of real-time coding and estimation for linear discrete-time system over rate-constrained noiseless channel.
Junyong Chen
doaj   +1 more source

Characterizing Polynomial Time Computability of Rational and Real Functions [PDF]

Electronic Proceedings in Theoretical Computer Science, 2009
Recursive analysis was introduced by A. Turing [1936], A. Grzegorczyk [1955], and D. Lacombe [1955]. It is based on a discrete mechanical framework that can be used to model computation over the real numbers.
Walid Gomaa
doaj   +1 more source

Identification by Recursive Least Squares With Kalman Filter (RLS-KF) Applied to a Robotic Manipulator

IEEE Access, 2021
The field of robotics has grown a lot over the years due to the increasing necessity of industrial production and the search for quality of industrialized products.
Darielson A. De Souza, Josias G. Batista, Felipe J. S. Vasconcelos, Laurinda L. N. Dos Reis, Gabriel F. Machado, Jonatha R. Costa, Jose N. N. Junior, Jose L. N. Silva, Clauson S. N. Rios, Antonio B. S. Junior   +9 more
doaj   +1 more source

The Question of the Boundaries of Computer Science

Seminare, 2022
A thesis defining the boundaries of computer science is first formulated in relation to a certain work of Stuart Shapiro. It is argued that these boundaries are determined by the properties of the mind in the real world.
Janusz Mączka, Adam Olszewski
doaj   +1 more source

The Dimensionality Reduction of Crank–Nicolson Mixed Finite Element Solution Coefficient Vectors for the Unsteady Stokes Equation

Mathematics, 2022
By means of a proper orthogonal decomposition (POD) to cut down the dimensionality of unknown finite element (FE) solution coefficient vectors in the Crank–Nicolson (CN) mixed FE (CNMFE) method for two-dimensional (2D) unsteady Stokes equations in regard
Zhendong Luo
doaj   +1 more source

Online Sifting Technique for Structural Health Monitoring Data Based on Recursive EMD Processing Framework

Buildings, 2022
Real-time and online screening techniques for single load effect signal monitoring are one of the key issues in smart structure monitoring. In this paper, an online signal sifting framework called online recursive empirical mode decomposition (EMD) is ...
Danhui Dan, Chenqi Wang, Ruiyang Pan, Yangmei Cao   +3 more
doaj   +1 more source

Computationally Efficient Continuous-Time Model Predictive Control of a 2-DOF Helicopter via B-Spline Parameterization

Sensors, 2023
This paper investigates one way to reduce the computational burden of continuous-time model predictive control (MPC) laws by representing the input/output signals and related models using B-spline functions.
Boris Rohaľ-Ilkiv, Martin Gulan, Peter Minarčík   +2 more
doaj   +1 more source

On Recursive Real-Time Uncomputable Functions

Asad Khaliq
openalex   +2 more sources

Automatic Modular Abstractions for Template Numerical Constraints [PDF]

Logical Methods in Computer Science, 2010
We propose a method for automatically generating abstract transformers for static analysis by abstract interpretation. The method focuses on linear constraints on programs operating on rational, real or floating-point variables and containing linear ...
David Monniaux
doaj   +1 more source