Results 141 to 150 of about 695 (187)

Fatigue Crack Length Estimation Using Acoustic Emissions Technique-Based Convolutional Neural Networks. [PDF]

Sensors (Basel)
Migot A, Saaudi A, Joseph R, Giurgiutiu V.   +3 more
europepmc   +1 more source

<i>PhyloRef</i>: A Semi-Automated Workflow for eDNA Reference Database Curation via Phylogenetic Anomaly Detection. [PDF]

Ecol Evol
Mai Y, Li C.
europepmc   +1 more source

Energy and throughput aware adequate routing for wireless sensor networks using integrated game theory method. [PDF]

Sci Rep
Vivek Kumar M, Saraniya O.
europepmc   +1 more source

Optimal STATCOM allocation and sizing using the sailfish optimizer algorithm

2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), 2020
In this paper, a recent optimization algorithm called sailfish optimizer algorithm (SFOA) is introduced to locate the suitable position and rating of a static synchronous compensator (STATCOM) in a 14 bus IEEE interconnected transmission network to improve voltage profile, and minimize the total real power losses (TRPL) of the system by considering ...
Padarbinda Samal, Rakesh Roshan
openaire   +2 more sources

Sailfish optimizer algorithm (SFO) for optimized clustering in wireless sensor network (WSN)

Journal of Engineering, Design and Technology, 2021
Purpose Inspired optimization algorithms respond to numerous scientific and engineering difficulties based on its flexibility and simplicity. Such algorithms are valid for optimization difficulties devoid of structural alterations. Design/methodology/approach This paper presents a nature-inspired optimization algorithm, named Sailfish optimizer (SFO)
Battina Srinuvasu Kumar, S.G. Santhi, S. Narayana   +2 more
openaire   +2 more sources

The Sailfish Optimizer: A novel nature-inspired metaheuristic algorithm for solving constrained engineering optimization problems

Engineering Applications of Artificial Intelligence, 2019
Abstract Nature-inspired optimization algorithms, especially swarm based algorithms (SAs), solve many scientific and engineering problems due to their flexibility and simplicity. These algorithms are applicable for optimization problems without structural modifications.
S. Shadravan, H.R. Naji, V.K. Bardsiri
openaire   +2 more sources

Instigating the Sailfish Optimization Algorithm Based on Opposition-Based Learning to Determine the Salient Features From a High-Dimensional Dataset

International Journal of Information Technology & Decision Making, 2022
The aim of this research critique is to propose a hybrid combination of Opposition-Based Learning and Sailfish Optimization strategy to recognize the salient features from a high-dimensional dataset. The Sailfish Optimization is a swarm-based metaheuristics optimization algorithm inspired by the foraging strategy of a group of Sailfish.
Utkarsh Mahadeo Khaire, R. Dhanalakshmi, K. Balakrishnan, M. Akila   +3 more
openaire   +2 more sources

Maximum Power Point Tracking of PV System under Uniform Irradiance and Partial Shading Conditions using Machine Learning Algorithm Trained by Sailfish Optimizer

2021 4th International Conference on Energy Conservation and Efficiency (ICECE), 2021
Solar energy is a viable solution to the damage caused by the conventional power sources to the environment. Temperature and irradiance levels have a high impact on the power generation of photovoltaic modules, but due to non-uniform irradiance levels, PV modules generate non-linear P-V curves.
Noman Mujeeb Khan, Umer Amir Khan, Muhammad Hamza Zafar   +2 more
openaire   +2 more sources

An adaptive variational mode decomposition based on sailfish optimization algorithm and Gini index for fault identification in rolling bearings

Measurement, 2021
Abstract Variational mode decomposition (VMD) method is a recently employed signal processing technique for fault identification from the vibration signal of rolling bearings. However, the selection of VMD parameters namely the number of modes (k) and the quadratic penalty factor (α) still represents a challenge to obtain proper decomposition modes ...
M.G.A. Nassef, Taha M. Hussein, Ossama Mokhiamar   +2 more
openaire   +2 more sources