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   Articles with "implementation based" as a keyword



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Design and implementation of EP-based PID controller for chaos synchronization of Rikitake circuit systems.

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recommendations! Published in 2017 at "ISA transactions"

DOI: 10.1016/j.isatra.2017.04.016

Abstract: This article addresses an evolutionary programming (EP) algorithm technique-based and proportional-integral-derivative (PID) control methods are established to guarantee synchronization of the master and slave Rikitake chaotic systems. For PID synchronous control, the evolutionary programming (EP)… read more here.

Keywords: implementation based; design implementation; based pid; synchronization ... See more keywords

Reusable Security Requirements Repository Implementation Based on Application/System Components

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recommendations! Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3133020

Abstract: Forming high quality requirements has a direct impact on project success. Gathering security requirements could be challenging, since it demands a multidisciplinary approach and security expertise. Security requirements repository enables an effective alternative for addressing… read more here.

Keywords: implementation based; repository implementation; security; reusable security ... See more keywords

Implementation of P4-Based Schedulers for Multipath Communication

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3192539

Abstract: Multipath communication is a well-developed technology that enhances communication effectiveness and resilience. Moreover, it can flexibly utilize network resources through load balancing among available paths. However, traditionally, deploying such load balancing functions on network devices… read more here.

Keywords: based schedulers; communication; multipath communication; schedulers multipath ... See more keywords

Mushroom species classification and implementation based on improved MobileNetV3.

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recommendations! Published in 2025 at "Journal of food science"

DOI: 10.1111/1750-3841.70186

Abstract: Current methods for mushroom species classification face limitations in generalization ability and lack exploration of model deployment. To address these issues, this study systematically compares five models, including Transformer and common convolutional neural networks. MobileNetV3… read more here.

Keywords: mushroom; classification implementation; species classification; model ... See more keywords