Results 31 to 40 of about 291 (110)

Robust Time-of-Flight Estimation for Multi-Echo Ultrasonic Signals Using the Secretary Bird Optimization Algorithm

Algorithms
To address the instability in extracting key parameters such as time-of-flight (ToF) from ultrasonic echoes due to noise and multi-echo superposition, this paper proposes a robust parameter estimation method based on the secretary bird optimization ...
Dawei Wang, Yuxin Xie, Wei Yu, Chenyang Li, Gaofeng Meng   +4 more
doaj   +2 more sources

A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models [PDF]

PeerJ Computer Science
This study conducts a comparative analysis of the performance of ten novel and well-performing metaheuristic algorithms for parameter estimation of solar photovoltaic models.
Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed   +6 more
doaj   +3 more sources

Applications of machine learning in predicting rut depth in off-road environments [PDF]

Scientific Reports
The rut depth created by off-road vehicles affects vehicle performance and soil compaction, and its accurate prediction is essential to improve vehicle performance and reduce soil compaction.
Behzad Golanbari, Aref Mardani, Nashmil Farhadi, Akbar Nazari Chamki   +3 more
doaj   +2 more sources

A Hybrid Approach to Stock Market Forecasting with LSTM, Modified Complex Variational Mode Decomposition, and Secretary Bird Optimization Algorithm [PDF]

Journal of Artificial Intelligence and Data Mining
Accurate and reliable stock price prediction is both a formidable and essential task in financial markets, requiring the use of advanced techniques. This paper presents an innovative approach that integrates Long Short-Term Memory (LSTM) networks with ...
Homa Mehtarizadeh, Najme Mansouri, Behnam Mohammad Hasani Zade, Mohammad Mehdi Hosseini   +3 more
doaj   +1 more source

Simulation Application of Adaptive Strategy Hybrid Secretary Bird Optimization Algorithm in Multi-UAV 3D Path Planning

Computers
Multi-UAV three-dimensional (3D) path planning is formulated as a high-dimensional multi-constraint optimization problem involving costs such as path length, flight altitude, avoidance cost, and smoothness.
Xiaojun Zheng, Rundong Liu, Xiaoyang Liu
doaj   +1 more source

A robust binary secretary bird optimization method for high-dimensional data classification

Scientific Reports
Feature selection is a key step in machine learning–based decision systems, especially in medical and biomedical applications, where datasets often contain a large number of features that can negatively affect both accuracy and interpretability.
Reham Kamal, Eman Amin, Diaa Salama AbdElminaam, Rasha Ismail   +3 more
doaj   +1 more source

Modified Secretary Bird Optimization Algorithm with Multi-Strategy for Solving Optimization Problems

Journal of Computers
The Secretary Bird Optimization Algorithm (SBOA) is an innovative meta-heuristic optimization technique, recently developed and inspired by the natural survival behaviors of secretary birds. In practical optimization scenarios, the SBOA, similar to other meta-heuristic algorithms, often suffers from slow convergence rates, susceptibility to local ...
Ling-Long Tan, Yu-Ting Yu, Qi-Jian Wang
openaire   +1 more source

Parameter Estimation of PMSM Based on Improved Secretary Bird Optimization Algorithm

IET Power Electronics
ABSTRACT Accurate and efficient parameter estimation is a critical prerequisite for achieving high‐performance control of PMSMs in electric aircraft propulsion.To overcome the trade‐off between accuracy and computational cost in existing methods, this paper proposes an improved secretary bird optimization algorithm (ISBOA).
Xiaoliang Yang, Zhiang Fu, Nan Jin, Zelan Li, Jihao Zhan, Tianxi Du   +5 more
openaire   +1 more source

Fault Diagnosis of Rolling Bearings Based on Acoustic Signals in Strong Noise Environments

Applied Sciences
Compared to vibration sensors, microphones offer several advantages, including non-contact detection, high sensitivity, low cost, and ease of installation.
Hengdi Wang, Jizhan Xie
doaj   +1 more source

Research on Positioning Error Compensation of Rock Drilling Manipulator Based on ISBOA-BP Neural Network

Applied Sciences
In order to solve the problem of the low end positioning accuracy of large hydraulic rock drilling robotic arms due to machining error and the working environment, this paper proposes an end positioning error compensation method based on an Improved ...
Qiaoyu Xu, Wenhao Ju, Yansong Lin, Tianle Zhang   +3 more
doaj   +1 more source