Results 11 to 20 of about 1,800 (166)

Rolling Bearing Fault Diagnosis Based on SABO–VMD–IBES–SVM

Shock and Vibration
In order to enhance the diagnostic accuracy and model generalization capability for rolling bearing faults, this paper proposes a fault diagnosis method based on an improved bald eagle search (IBES) algorithm, which is optimized using multiple strategies
Mingjing Liu, Weiyan Tong, Yingshun Li
doaj   +2 more sources

Traffic flow forecasting using natural selection based hybrid Bald Eagle Search—Grey Wolf optimization algorithm [PDF]

PLoS ONE, 2022
In a fast-moving world, transportation consumes most of the time and resources. Traffic prediction has become a thrust application for machine learning algorithms to overcome the hurdles faced by congestion.
Sivakumar R., Angayarkanni S. A., Ramana Rao Y. V., Ali Safaa Sadiq   +3 more
doaj   +3 more sources

Deep fusion based transfer learning with bald eagle search algorithm for sign language recognition to assist individuals with hearing and speech impairments [PDF]

Scientific Reports
Sign language (SL) is a significant communication method for individuals with hearing impairments, using hand gestures to convey letters, words, and sentences. However, several people are unfamiliar with SL, creating a communication gap.
Manar Ahmed Hamza, Alanoud Subahi, Nouf Atiahallah Alghanmi, Nadhem Nemri   +3 more
doaj   +2 more sources

Recent metaheuristic algorithms for solving some civil engineering optimization problems [PDF]

Scientific Reports
In this study, a novel hybrid metaheuristic algorithm, termed (BES–GO), is proposed for solving benchmark structural design optimization problems, including welded beam design, three-bar truss system optimization, minimizing vertical deflection in an I ...
Essam H. Houssein, Mohamed Hossam Abdel Gafar, Naglaa Fawzy, Ahmed Y. Sayed   +3 more
doaj   +2 more sources

Fuel Cell Electric Vehicle Hydrogen Consumption and Battery Cycle Optimization Using Bald Eagle Search Algorithm

Applied Sciences
In this study, the Bald Eagle Search Algorithm performed hydrogen consumption and battery cycle optimization of a fuel cell electric vehicle. To save time and cost, the digital vehicle model created in Matlab/Simulink and validated with real-world ...
Efe Savran, Esin Karpat, Fatih Karpat
doaj   +3 more sources

Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance [PDF]

Scientific Reports
Metaheuristic algorithms play a vital role in addressing a wide range of real-world problems by overcoming hardware and computational constraints. The Chameleon Swarm Algorithm (CSA) is a modern metaheuristic algorithm that uses how chameleons act.
Vipan Kusla, Gurbinder Singh Brar, Harpreet Kaur, Ramandeep Sandhu, Chander Prabha, Md. Mehedi Hassan, Shahab Abdulla, Md Rittique Alam, Samah Alshathri, Walid El-Shafai   +9 more
doaj   +2 more sources

Bald eagle search algorithm: a comprehensive review with its variants and applications

Systems Science & Control Engineering
Bald Eagle Search (BES) is a recent and highly successful swarm-based metaheuristic algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its remarkable ability to balance global and local searches during optimization, the BES
Mohammed A. El-Shorbagy, Anas Bouaouda, Hossam A. Nabwey, Laith Abualigah, Fatma A. Hashim   +4 more
doaj   +3 more sources

Task Offloading Strategy of Vehicular Networks Based on Improved Bald Eagle Search Optimization Algorithm

Applied Sciences, 2022
To reduce computing delay and energy consumption in the Vehicular networks, the total cost of task offloading, namely delay and energy consumption, is studied.
Xianhao Shen, Zhaozhan Chang, Xiaolan Xie, Shaohua Niu   +3 more
doaj   +1 more source

Efficient Multiuser Computation for Mobile-Edge Computing in IoT Application Using Optimization Algorithm

Applied Bionics and Biomechanics, 2021
Mobile edge computing (MEC) is a paradigm novel computing that promises the dramatic effect of reduction in latency and consumption of energy by computation offloading intensive; these tasks to the edge clouds in proximity close to the smart mobile users.
Tawfiq Hasanin, Aisha Alsobhi, Adil Khadidos, Ayman Qahmash, Alaa Khadidos, Gabriel Ayodeji Ogunmola   +5 more
doaj   +1 more source

Optimal Cluster Head Selection in WSN with Convolutional Neural Network-Based Energy Level Prediction

Sensors, 2022
Currently, analysts in a variety of nations have developed various WSN clustering protocols. The major characteristic is the Low Energy Adaptive Clustering Hierarchy (LEACH), which attained the objective of energy balance by sporadically varying the ...
Sasikumar Gurumoorthy, Parimella Subhash, Rocio Pérez de Prado, Marcin Wozniak   +3 more
doaj   +1 more source