Results 21 to 30 of about 386,320 (315)

Host-Based Intrusion Detection Model Using Siamese Network

open access: yesIEEE Access, 2021
As cyberattacks become more intelligent, the difficulty increases for traditional intrusion detection systems to detect advanced attacks that deviate from previously stored patterns. To solve this problem, a deep learning-based intrusion detection system
Daekyeong Park   +4 more
doaj   +1 more source

The Immediate Effect of Medial Arch Support on Dynamic Knee Valgus During Stair Descent and Its Relationship With the Severity of Pronated Feet

open access: yesPhysical Therapy Korea, 2022
Background: Pronated foot posture (PFP) contributes to excessive dynamic knee valgus (DKV). Although foot orthoses such as medial arch support (MAS) are widely and easily used in clinical practice and sports, few studies have investigated the effect of ...
Hwa-ik Yoo   +4 more
doaj   +1 more source

What Have We Not Learned from the Convergence Debate?

open access: yesMathematics, 2023
We argue that the alternative hypotheses about cross-country convergence dynamics, namely the Conditional Convergence Hypothesis, Absolute Convergence Hypothesis, and Club Convergence hypothesis, build upon different modelling choices and answer ...
Leone Leonida
doaj   +1 more source

Convergence Analysis of the FOCUSS Algorithm

open access: yesIEEE Transactions on Neural Networks and Learning Systems, 2015
FOCal Underdetermined System Solver (FOCUSS) is a powerful tool for sparse representation and underdetermined inverse problems, which is extremely easy to implement. In this paper, we give a comprehensive convergence analysis on the FOCUSS algorithm towards establishing a systematic convergence theory by providing three primary contributions as follows.
Kan Xie, Zhaoshui He, Andrzej Cichocki
openaire   +3 more sources

Convergence analysis of the Quickprop method [PDF]

open access: yesIJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003
A mathematical framework for the convergence analysis of the well known Quickprop method is described. The convergence of this method is analyzed. Furthermore, we present modifications of the algorithm that exhibit improved convergence speed and stability and at the same time, alleviate the use of heuristic learning parameters.
Michael N. Vrahatis   +2 more
openaire   +1 more source

Extended domain for fifth convergence order schemes

open access: yesCubo, 2021
We provide a local as well as a semi-local analysis of a fifth convergence order scheme involving operators valued on Banach space for solving nonlinear equations.
Ioannis K. Argyros, Santhosh George
doaj   +1 more source

The Classical Approach to Convergence Analysis [PDF]

open access: yesThe Economic Journal, 1996
The concepts of sigma-convergence, absolute beta-convergence and conditional beta-convergence are discussed in this paper. The concepts are applied to a variety of data sets that include a large cross-section of 110 countries, the subsample of OECD countries, the states within the United States, the prefectures of Japan, and regions within several ...
openaire   +6 more sources

Numerical Solution for Singular Boundary Value Problems Using a Pair of Hybrid Nyström Techniques

open access: yesAxioms, 2021
This manuscript presents an efficient pair of hybrid Nyström techniques to solve second-order Lane–Emden singular boundary value problems directly. One of the proposed strategies uses three off-step points.
Mufutau Ajani Rufai, Higinio Ramos
doaj   +1 more source

Discretization of Learned NETT Regularization for Solving Inverse Problems

open access: yesJournal of Imaging, 2021
Deep learning based reconstruction methods deliver outstanding results for solving inverse problems and are therefore becoming increasingly important. A recently invented class of learning-based reconstruction methods is the so-called NETT (for Network ...
Stephan Antholzer, Markus Haltmeier
doaj   +1 more source

Convergence analysis of swarm algorithm [PDF]

open access: yes2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009
Swarm Intelligence (SI) is an innovative distributed intelligent paradigm whereby the collective behaviors of unsophisticated individuals interacting locally with their environment cause coherent functional global patterns to emerge. Although the swarm algorithms have exhibited good performance across a wide range of application problems, it is ...
Hongbo Liu 0001   +2 more
openaire   +1 more source

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