Results 21 to 30 of about 475 (164)

Reliability based multi-objective optimized routing protocol for VANETs using pelican optimization algorithm

Discover Applied Sciences
A developing methodology that may be used in intelligent transportation frameworks is Vehicular Ad hoc Networks (VANETs). For VANET systems to be dependable, routing protocols are necessary.
R. Muthaiyan, S. Senthilkumar, C. Vijesh Joe, M. Kavitha   +3 more
doaj   +2 more sources

Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks [PDF]

Scientific Reports
The Internet of Things (IoT) network is a fast-growing technology, which is efficiently used in various applications. In an IoT network, the massive amount of connecting nodes is the existence of day-to-day communication challenges.
Kashi Sai Prasad, E. Laxmi Lydia, M. V. Rajesh, K. Radhika, Janjhyam Venkata Naga Ramesh, N. Neelima, Srinivasa Rao Pokuri   +6 more
doaj   +2 more sources

Optimization of Grid-Connected Hybrid Microgrid System with EV Charging Using Pelican Optimization Algorithm

Engineering Proceedings
This research focuses on optimizing a grid-connected hybrid microgrid system (HMGS) for The Neotia University (TNU), West Bengal, India, utilizing renewable energy sources to improve sustainability and energy efficiency.
Anirban Maity, Sajjan Kumar, Pulok Pattanayak   +2 more
doaj   +2 more sources

Kernel semi-parametric model improvement based on quasi-oppositional learning pelican optimization algorithm

Iraqi Journal for Computer Science and Mathematics, 2023
Statistical modeling is essential in many scientific research areas because it explains the relationship between the response variable of interest and a number of explanatory variables.
Zakariya Algamal, Firas AL-Taie, Omar Qasim   +2 more
doaj   +1 more source

A Wind Turbine Fault Classification Model Using Broad Learning System Optimized by Improved Pelican Optimization Algorithm

Machines, 2022
As a classification model, a broad learning system is widely used in wind turbine fault diagnosis. However, the setting of hyperparameters for the models directly affects the classification accuracy of the models and it generally relies on practical ...
Wumaier Tuerxun, Chang Xu, Muhaxi Haderbieke, Lei Guo, Zhiming Cheng   +4 more
doaj   +1 more source

Study on reservoir optimal operation based on coupled adaptive ε constraint and multi strategy improved Pelican algorithm

Scientific Reports, 2023
The optimal operation of reservoir groups is a strongly constrained, multi-stage, and high-dimensional optimization problem. In response to this issue, this article couples the standard Pelican optimization algorithm with adaptive ε constraint methods ...
Ji He, Xiaoqi Guo, Songlin Wang, Haitao Chen, Fu-Xin Chai   +4 more
doaj   +1 more source

Designing of 2d-IIR Filter Using a Fused ESMA-Pelican Optimization Algorithm (FEPOA)

Информатика и автоматизация, 2023
Many Digital Signal Processing (DSP) applications and electronic gadgets today require digital filtering. Different optimization algorithms have been used to obtain fast and improved results.
Rakesh Kumar Sharma, Krishan Kumar Sharma, Tarun Varma   +2 more
doaj   +1 more source

A Rolling Bearing Fault Feature Extraction Algorithm Based on IPOA-VMD and MOMEDA

Sensors, 2023
Since the rolling bearing fault signal captured by a vibration sensor contains a large amount of background noise, fault features cannot be accurately extracted.
Kang Yi, Changxin Cai, Wentao Tang, Xin Dai, Fulin Wang, Fangqing Wen   +5 more
doaj   +1 more source

A Thermal Error Prediction Method of High-Speed Motorized Spindle Based on Pelican Optimization Algorithm and CNN-LSTM

Applied Sciences, 2023
Given motorized spindles’ extensive periods of prolonged high-velocity operation, they are prone to temperature changes, which leads to the problem of thermal error, leading to diminished precision in machining operations.
Ying Gao, Xiaojun Xia, Yinrui Guo
doaj   +1 more source

A New Method for Fault Diagnosis of Hydraulic System Based on Improved Empirical Wavelet Transform and Kernel Extreme Learning Machine

IEEE Access, 2023
To address the problem that multivariable faults in hydraulic systems are difficult to diagnose accurately in a short time, a new signal processing method combining an improved empirical wavelet transform with a kernel extreme learning machine optimized ...
Chao Chen, Muhetaer Kelimu, Bo Yang
doaj   +1 more source