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Journal ArticleDOI

Particle swarm optimization performance improvement using deep learning techniques

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This article is published in Multimedia Tools and Applications.The article was published on 2022-03-29. It has received 83 citations till now. The article focuses on the topics: Computer science & Particle swarm optimization.

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Proceedings ArticleDOI

Internal service of an enterprise admission control

TL;DR: In this paper , a safe network access control method for granting access to internal services to a certain group of devices that abide by the security guidelines of an organization is proposed, which tries to improve on current port-knocking techniques by making services available to a specified group of users rather than merely a small group of people.
Proceedings ArticleDOI

Machine Intelligence based Parametric Speaker

TL;DR: In this article , the authors proposed a parametric speaker to channelize the conventional longitudinal behavior of sound which diverges in every direction after its generation to a beam-like behavior seen in transverse waves.
Proceedings ArticleDOI

Multilingual sentiment analysis for android mobile application (Bandhu) for aged people

TL;DR: In this paper , the authors focus on evaluating and identifying the feelings of elderly persons by using machine learning methods based on natural language processing and creating an application called "BANDHU - YOUR FOREVER FRIEND" that they may access and utilize.
Proceedings ArticleDOI

Play school based reality application examination

TL;DR: Chang et al. as discussed by the authors used Google Glass to support kindergarten students' learning by creating a book-accompanied smartphone 3D Virtual App, where children who own this book may use the app to supplement the picture into the real universe and engage with it in many ways.
Proceedings ArticleDOI

Review on Intrusion Detection in Edge Based IOT

TL;DR: In this paper , a machine learning-based IDSVM is used to detect intrusions in edge-based Internet of Things (IoT) networks, which can be classified into signature-based, anomaly-based or hybrid IDS.
References
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Journal ArticleDOI

Long short-term memory

TL;DR: A novel, efficient, gradient based method called long short-term memory (LSTM) is introduced, which can learn to bridge minimal time lags in excess of 1000 discrete-time steps by enforcing constant error flow through constant error carousels within special units.
Proceedings ArticleDOI

A modified particle swarm optimizer

TL;DR: A new parameter, called inertia weight, is introduced into the original particle swarm optimizer, which resembles a school of flying birds since it adjusts its flying according to its own flying experience and its companions' flying experience.
Proceedings ArticleDOI

Flocks, herds and schools: A distributed behavioral model

TL;DR: In this article, an approach based on simulation as an alternative to scripting the paths of each bird individually is explored, with the simulated birds being the particles and the aggregate motion of the simulated flock is created by a distributed behavioral model much like that at work in a natural flock; the birds choose their own course.

Particle Swarm Optimization.

James Kennedy
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Dissertation

An analysis of particle swarm optimizers

TL;DR: This thesis presents a theoretical model that can be used to describe the long-term behaviour of the Particle Swarm Optimiser and results are presented to support the theoretical properties predicted by the various models, using synthetic benchmark functions to investigate specific properties.
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