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Digital Watermarking using Dragonfly Optimization Algorithm [PDF]

open access: yesJournal of Information Technology Management, 2020
In this paper a novel digital watermarking algorithm is proposed. The proposed method comprises of a watermarking embedding and extraction algorithm using bio inspired optimization technique.
Satender Sharma   +3 more
doaj   +2 more sources

Parametric FEM-Based Analysis on Adaptive Vein Morphology of Dragonfly Wings Toward Material Efficiency [PDF]

open access: yesBiomimetics
This study explores how the morphological adaptations of dragonfly wing veins contribute to structural efficiency and material economy to inspire lightweight architectural design strategies.
Guanqi Zhu   +2 more
doaj   +2 more sources

Efficacy of swarm-based neural networks in automated depression detection [PDF]

open access: yesScientific Reports
As depression becomes a global pandemic, this research paper presents a comprehensive study for depression diagnosis using a custom-crafted deep learning model optimized with various swarm intelligence algorithms.
Alwan Atta   +4 more
doaj   +2 more sources

Improved Dragonfly Optimization Algorithm for Detecting IoT Outlier Sensors

open access: yesFuture Internet, 2022
Things receive digital intelligence by being connected to the Internet and by adding sensors. With the use of real-time data and this intelligence, things may communicate with one another autonomously.
Maytham N. Meqdad   +2 more
doaj   +2 more sources

A Hybrid Dragonfly Algorithm for Efficiency Optimization of Induction Motors

open access: yesSensors, 2022
Induction motors tend to have better efficiency on rated conditions, but at partial load conditions, when these motors operate on rated flux, they exhibit lower efficiency.
Niraj Kumar Shukla   +2 more
doaj   +4 more sources

Bayesian Network Structure Learning Algorithm Combining Improved Dragonfly Optimization

open access: yesIEEE Access, 2023
Bayesian network structure learning is one of the current research hotspots in fields such as statistics and machine learning. Although it has great potential and application prospects, when there are too many variables, this type of algorithm will not ...
Dongmei Ji, Zheng Sun
doaj   +2 more sources

Machine learning analysis and simulation of pharmaceutical drying process based on prediction of concentration distribution and mass transfer [PDF]

open access: yesScientific Reports
Modeling and analysis of the lyophilization process for low-temperature drying of pharmaceutical compounds was evaluated via a hybrid model that combines mass transfer and machine learning.
Khaled Almansour, Hashem O. Alsaab
doaj   +2 more sources

Dragonfly visual evolutionary neural network: A novel bionic optimizer with related LSGO and engineering design optimization [PDF]

open access: yesiScience
Summary: Biological visual systems intrinsically include multiple kinds of motion-sensitive neurons. Some of them have been successfully used to construct neural computational models for problem-specific engineering applications such as motion detection,
Heng Wang, Zhuhong Zhang
doaj   +2 more sources

Clustering-based dragonfly optimization algorithm for underwater wireless sensor networks

open access: yesAlexandria Engineering Journal, 2023
Communication and monitoring of the undersea environment have numerous applications, including marine environment studies, offshore research, and mineral extraction.
Sathish Kaveripakam   +1 more
doaj   +2 more sources

A hybrid Dragonfly algorithm for the vehicle routing problem with stochastic demands

open access: yesIntelligent Systems with Applications, 2023
A number of swarm intelligence algorithms have been proposed during the last years. Most of them are suitable for the solution of continuous optimization problems. One of them is the Dragonfly Algorithm that has been proved very efficient in the problems
Magdalene Marinaki   +2 more
doaj   +1 more source

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