Results 11 to 20 of about 1,850 (182)
Digital Watermarking using Dragonfly Optimization Algorithm [PDF]
Journal 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. Dragonfly algorithm (DA) is based on the static and dynamic swarming behaviors of dragonflies in nature.
Sharma, Satender +3 more
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Parametric FEM-Based Analysis on Adaptive Vein Morphology of Dragonfly Wings Toward Material Efficiency. [PDF]
Biomimetics (Basel)This study explores how the morphological adaptations of dragonfly wing veins contribute to structural efficiency and material economy to inspire lightweight architectural design strategies.
Zhu G, Teixeira FF, Loh P.
europepmc +2 more sources
A Hybrid Dragonfly Algorithm for Efficiency Optimization of Induction Motors
Sensors, 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. In such conditions, when these motors operate for a long duration, a lot of electricity gets consumed by the motors, due to which the computational cost as well as the total running
Niraj Kumar Shukla +2 more
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Improved Dragonfly Optimization Algorithm for Detecting IoT Outlier Sensors
Future 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. The environment surrounding us will become more intelligent and reactive, merging the digital and physical worlds thanks to the Internet of things (IoT).
Maytham N. Meqdad +2 more
openaire +3 more sources
Bayesian Network Structure Learning Algorithm Combining Improved Dragonfly Optimization
IEEE 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 be able to accurately and efficiently provide the optimal solution.
Dongmei Ji, Zheng Sun
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Efficacy of swarm-based neural networks in automated depression detection. [PDF]
Sci RepAs 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.
Atta A +4 more
europepmc +2 more sources
Clustering-based dragonfly optimization algorithm for underwater wireless sensor networks
Alexandria Engineering Journal, 2023 Communication and monitoring of the undersea environment have numerous applications, including marine environment studies, offshore research, and mineral extraction. However, factors like as the presence of an underwater current, a limited bandwidth, high water pressure, propagation lag, and error probability make these applications more difficult to ...
Sathish Kaveripakam +1 more
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Machine learning analysis and simulation of pharmaceutical drying process based on prediction of concentration distribution and mass transfer. [PDF]
Sci RepModeling 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.
Almansour K, Alsaab HO.
europepmc +2 more sources
A hybrid Dragonfly algorithm for the vehicle routing problem with stochastic demands
Intelligent 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
Adaptive Node Clustering for Underwater Sensor Networks
Sensors, 2021 Monitoring of an underwater environment and communication is essential for many applications, such as sea habitat monitoring, offshore investigation and mineral exploration, but due to underwater current, low bandwidth, high water pressure, propagation ...
Muhammad Fahad Khan +3 more
doaj +1 more source