Results 21 to 30 of about 478 (148)

Ensemble Classification Model With CFS-IGWO-Based Feature Selection for Cancer Detection Using Microarray Data. [PDF]

open access: yesInt J Telemed Appl
Cancer is the top cause of death worldwide, and machine learning (ML) has made an indelible mark on the field of early cancer detection, thereby lowering the death toll. ML‐based model for cancer diagnosis is done using two forms of data: gene expression data and microarray data. The data on gene expression levels includes many dimensions. When dealing
Panda P   +5 more
europepmc   +2 more sources

Task Scheduling with Altered Grey Wolf Optimization (AGWO) in Mobile Cloud Computing using Cloudlet [PDF]

open access: yes, 2023
Mobile devices can improve their battery life by offloading their tasks to a nearby cloudlet instead of executing tasks on the mobile device. Because mobile devices have low-speed processors, small-size memory, and limited battery.
Aloysius, A., Mary, J.Arockia
core   +2 more sources

Prediction Model for Dissolved Gas Concentration in Transformer Oil Based on Modified Grey Wolf Optimizer and LSSVM with Grey Relational Analysis and Empirical Mode Decomposition

open access: yesEnergies, 2020
Oil-immersed transformer is one of the most important components in the power system. The dissolved gas concentration prediction in oil is vital for early incipient fault detection of transformer.
Bing Zeng   +6 more
doaj   +1 more source

Fractional order PI λD μ controller with optimal parameters using Modified Grey Wolf Optimizer for AVR system [PDF]

open access: yesArchives of Control Sciences, 2022
In this paper, an automatic voltage regulator (AVR) embedded with fractional order PID (FOPID) is employed for the alternator terminal voltage control.
Santosh Kumar Verma, Ramesh Devarapalli
doaj   +1 more source

Modified Grey-Wolf Algorithm Optimized Fractional-Order Sliding Mode Control for Unknown Manipulators With a Fractional-Order Disturbance Observer

open access: yesIEEE Access, 2020
This paper studies a new fractional-order nonsingular terminal sliding mode control (FTSMC), in which all parameters of controller and observer are optimized by a modified grey wolf optimization (MGWO) technique for robotic manipulator systems.
Seongik Han
doaj   +1 more source

Inversed Control Parameter in Whale Optimization Algorithm and Grey Wolf Optimizer for Wrapper-based Feature Selection: A comparative study

open access: yesJOIV: International Journal on Informatics Visualization, 2023
Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) are well-perform metaheuristic algorithms used by various researchers in solving feature selection problems.
Li Yu Yab   +2 more
doaj   +1 more source

Efficient Medical Image Compression Based on Wavelet Transform and Modified Gray Wolf Optimization [PDF]

open access: yes, 2023
The use of medical images in diagnostic procedures is increasing, leadning to a significant rise in the memory and bandwidth requirements for preserving and transmitting these images.
Gayathiri, R.   +3 more
core   +2 more sources

Broyden's method assisted differential evolution (BMADE) based selective harmonic elimination in a cascaded H‐bridge multilevel inverter

open access: yesIET Power Electronics, Volume 16, Issue 14, Page 2336-2355, 4 November 2023., 2023
This paper implements Broyden's Method Assisted Differential Evolution algorithm for eliminating third and fifth harmonics in the output voltage of 7‐level cascaded H‐Bridge multilevel inverter (CHB‐MLI) using selective harmonic elimination technique. Calculations of switching angles are done for various modulation index values (M).
Mohd Ahsan   +6 more
wiley   +1 more source

Modified grey wolf optimisation based reduced device count 17‐level hybrid multilevel inverter

open access: yesIET Power Electronics, 2021
A 17‐level hybrid multilevel inverter (HMLI) using modified grey wolf optimisation (MGWO) is proposed here. The proposed HMLI requires only a single dc source and a lesser number of circuit elements to obtain a multilevel voltage level. The proposed HMLI
Abhinandan Routray   +2 more
doaj   +1 more source

Research on transformer fault diagnosis based on ISOMAP and IChOA‐LSSVM

open access: yesIET Electric Power Applications, Volume 17, Issue 6, Page 773-787, June 2023., 2023
Although there is a large amount of research focussed on transformer fault diagnosis, the accuracy of transformer fault diagnosis research is not high. The difficulties in transformer fault diagnosis lie in the redundancy of DGA data and the selection of hyperparameters for machine learning. In this study, we propose a power transformer fault diagnosis
Wanjie Lu, Chun Shi, Hua Fu, Yaosong Xu
wiley   +1 more source

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