Results 31 to 40 of about 673 (123)

Cumulative Drug Release Modelling of PCL-PVP Encapsulated Tramadol by DA-SVM, MLR, PLS, and OLS Regression Techniques [PDF]

Kemija u Industriji, 2022
This work aimed to model the kinetics of cumulative drug release from formulations based on encapsulation by biodegradable polycaprolactone and polyvinylpyrrolidone polymers.
Ahmed Chabane, Fatiha Bouchal, Mohamed Hentabli, Farouk Rezgui, Houssam Eddine Slama   +4 more
doaj   +1 more source

Credibilistic Mean-Semi-Entropy Model for Multi-Period Portfolio Selection with Background Risk

Entropy, 2019
In financial markets, investors will face not only portfolio risk but also background risk. This paper proposes a credibilistic multi-objective mean-semi-entropy model with background risk for multi-period portfolio selection.
Jun Zhang, Qian Li
doaj   +1 more source

Kinetic parameters estimation via dragonfly algorithm (DA) and comparison of cylindrical and spherical reactors performance for CO₂ hydrogenation to hydrocarbons

Energy conversion and management, 2020
Climate change and global warming, as well as growing global demand for hydrocarbons in industrial sectors, make great incentives to investigate the utilization of CO₂ for hydrocarbons production. Therefore, finding an in-depth understanding of the CO₂ hydrogenation reactors along with simulating reactor responses to different operating conditions are ...
Najari, Sara, Saeidi, Samrand, Gróf, Gyula, Keil, Frerich, Rodrigues‬, Alírio E.   +4 more
openaire   +1 more source

A Hybrid DA-PSO Optimization Algorithm for Multiobjective Optimal Power Flow Problems

Energies, 2018
In this paper, a hybrid optimization algorithm is proposed to solve multiobjective optimal power flow problems (MO-OPF) in a power system. The hybrid algorithm, named DA-PSO, combines the frameworks of the dragonfly algorithm (DA) and particle swarm ...
Sirote Khunkitti, Apirat Siritaratiwat, Suttichai Premrudeepreechacharn, Rongrit Chatthaworn, Neville R. Watson   +4 more
doaj   +1 more source

Implementation of nature-inspired optimization algorithms in some data mining tasks

Ain Shams Engineering Journal, 2020
Data mining optimization received much attention in the last decades due to introducing new optimization techniques, which were applied successfully to solve such stochastic mining problems.
A.M. Hemeida, Salem Alkhalaf, A. Mady, E.A. Mahmoud, M.E. Hussein, Ayman M. Baha Eldin   +5 more
doaj   +1 more source

An Optimized Discrete Dragonfly Algorithm Tackling the Low Exploitation Problem for Solving TSP

Mathematics, 2022
Optimization problems are prevalent in almost all areas and hence optimization algorithms are crucial for a myriad of real-world applications. Deterministic optimization algorithms tend to be computationally costly and time-consuming.
Bibi Aamirah Shafaa Emambocus, Muhammed Basheer Jasser, Angela Amphawan, Ali Wagdy Mohamed   +3 more
doaj   +1 more source

Intersection Traffic Control Based on Multi-Objective Optimization

IEEE Access, 2020
Currently, most traffic control methods at intersections rely on the control of signal lights. However, most signal lights operate in the traditional fixed timing mode, which cannot adjust the timing based on the time-varying traffic flow.
Jinbao Mou
doaj   +1 more source

An Improved Dragonfly Algorithm With Higher Exploitation Capability to Optimize the Design of Hybrid Power Active Filter

IEEE Access, 2020
Hybrid power active filter (HAPF) is an important device to suppress the harmonics of the power system. In HAPF, the parameters estimation has a great impact on ensuring the power quality in the power system.
Wanxuan Dai, Chunquan Li, Zhiling Cui, Yufan Wu, Leyingyue Zhang, Junru Huang   +5 more
doaj   +1 more source

Optimized Model Torque Prediction Control Strategy for BLDCM Torque Error and Speed Error Reduction System

Journal of Electrical and Computer Engineering, 2023
This paper presents an improved whale optimization algorithm (IWOA) for optimizing the model predictive torque control (MPTC) of brushless DC motor (BLDCM) to further reduce the problems of strong torque pulsation and high ripple caused by the special ...
Ye Yuan, Cheng Liu, Siyu Chen, Zhenxiong Zhou   +3 more
doaj   +1 more source

Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by Dragonfly Algorithm (DA)

Open Journal of Medical Imaging
Lung cancer stands as the preeminent cause of cancer-related mortality globally. Prompt and precise diagnosis, coupled with effective treatment, is imperative to reduce the fatality rates associated with this formidable disease. This study introduces a cutting-edge deep learning framework for the classification of lung cancer from CT scan imagery.
Bitasadat Jamshidi, Nastaran Ghorbani, Mohsen Rostamy-Malkhalifeh   +2 more
openaire   +2 more sources