Results 41 to 50 of about 871,423 (283)

METHODS OF SOLVING THE PATTERN RECOGNITION PROBLEM USING RESIDUE NUMBER SYSTEM

open access: yesНаука. Инновации. Технологии, 2022
The paper proposes a possibility of implementing algorithms of solving the pattern recognition problem in the Residue Number System. Considered the most advanced information processing algorithms in the Residue Number System and performed their ...
Nikolay Ivanovich Chervyakov   +2 more
doaj  

Predictive Syndrome Based Low Complexity Joint Iterative Detection-Decoding Algorithm for Non-Binary LDPC Codes

open access: yesIEEE Access, 2021
This paper addresses the problem of decoding non-binary low density parity check codes(LDPC) over finite field $GF(q)$ using symbol flipping approach.
Waheed Ullah   +2 more
doaj   +1 more source

Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih   +40 more
wiley   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah   +7 more
wiley   +1 more source

Path Coverage Algorithm Based on Minimization of Sensor Movement Distance [PDF]

open access: yesJisuanji gongcheng, 2018
Most of existing algorithms for path coverage do not consider minimization of sensors movement distance.Aiming at this situation,this paper proves that the above mentioned problem is NP-hard,and presents a heuristic path covering algorithm.It moves ...
CHEN Xi,LIU Zhixiong
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational 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

Revisiting Online Algorithms: A Survey of Set Cover Solutions Beyond Competitive Analysis

open access: yesIEEE Access
Online algorithms are crucial for real-time decision-making and adaptability across diverse fields, such as operations research, computer science, and combinatorics. These algorithms handle data incrementally and make decisions without prior knowledge of
Christine Markarian   +2 more
doaj   +1 more source

A Comparison of Security and its Performance for Key Agreements in Post-Quantum Cryptography

open access: yesIEEE Access, 2020
Nowadays, we are surrounded by devices collecting and transmitting private information. Currently, the two main mathematical problems that guarantee security on the Internet are the Integer Factorization Problem and the Discrete Logarithm Problem ...
Fabio Borges   +2 more
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

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