Results 21 to 30 of about 1,800 (166)

Optimal size and location of distributed generations in distribution networks using bald eagle search algorithm

Electrical engineering & Electromechanics, 2022
Introduction. In the actual era, the integration of decentralized generation in radial distribution networks is becoming important for the reasons of their environmental and economic benefits. Purpose.
N. Tebbakh, D. Labed, M. A. Labed
doaj   +1 more source

Soil moisture content prediction model for tea plantations based on SVM optimised by the bald eagle search algorithm

Cognitive Computation and Systems, 2021
In order to solve the problem of low accuracy and efficiency of soil moisture content prediction in tea plantations and improve the level of soil water content prediction, a soil moisture content prediction model for tea plantations based on the support ...
Ying Huang, Hao Jiang, Wen‐feng Wang, Weixing Wang, Daozong Sun   +4 more
doaj   +1 more source

Bald Eagle Search Algorithm for Parameter Identification of Proton Exchange Membrane Fuel Cell

Frontiers in Energy Research, 2022
A precise and reliable proton exchange membrane fuel cell (PEMFC) parameter identification performs an essential function in simulation analysis, optimal control, and performance research of actual PEMFC systems.
Bo Yang, Bo Yang, Danyang Li, Chunyuan Zeng, Yiming Han, Junhui Li   +5 more
doaj   +1 more source

Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm

International Journal of Photoenergy, 2021
The global demand for renewable energy is growing, and one of the proposed solutions to this energy crisis is the use of photovoltaic systems. So far, they are a reliable solution, as they are nonpolluting and can be used almost anywhere on the planet ...
Ndongmo Fotsa Nicaire, Perabi Ngoffe Steve, Ndjakomo Essiane Salome, Abessolo Ondoua Grégroire   +3 more
doaj   +1 more source

HyperDE: An Adaptive Hyper-Heuristic for Global Optimization

Algorithms, 2023
In this paper, a novel global optimization approach in the form of an adaptive hyper-heuristic, namely HyperDE, is proposed. As the naming suggests, the method is based on the Differential Evolution (DE) heuristic, which is a well-established ...
Alexandru-Razvan Manescu, Bogdan Dumitrescu   +1 more
doaj   +1 more source

A PEMFC model optimization using the enhanced bald eagle algorithm

Ain Shams Engineering Journal, 2022
In this article, a novel optimization algorithm is implemented to estimate the design variables of proton exchange membrane fuel cells. The main objective is to get the minimum of the sum of squared errors (SSE), which is defined as the difference ...
Ibrahim Alsaidan, Mohamed A.M. Shaheen, Hany M. Hasanien, Muhannad Alaraj, Abrar S. Alnafisah   +4 more
doaj   +1 more source

The first whole genome and transcriptome of the cinereous vulture reveals adaptation in the gastric and immune defense systems and possible convergent evolution between the Old and New World vultures [PDF]

, 2015
Background: The cinereous vulture, Aegypius monachus, is the largest bird of prey and plays a key role in the ecosystem by removing carcasses, thus preventing the spread of diseases. Its feeding habits force it to cope with constant exposure to pathogens,
A Goncalves, A Löytynoja, A Mortazavi, Alvin Chon, Andrea Manica, B Eliotout, B Li, B Li, BJ Haas, CG Sibley, D Kim, DD Pollock, DL Ogada, DW Huang, E Quevillon, E Trompouki, E Videvall, ED Jarvis, F Ikeda, G Marçais, G Pertea, G Takaesu, G Zhang, GD Ruxton, GE Duke, GJ Krejs, H Li, H Li, H Li, Hak-Min Kim, HS Yim, HY Song, HyeJin Lee, Hyunho Kim, IA Adzhubei, International Chicken Genome Sequencing Consortium, J Ferguson-Lees, J Hoyo del, J Parra, J Puente de la, J Wang, J Xu, J Ye, J Zhang, JeHoon Jun, Jeongheui Lim, Jeremy Edwards, Jessica A. Weber, JG Teodoro, JM Lastra de la, Jong Bhak, Junsu Ko, K Arnold, K Tamura, Kyudong Han, M Kanehisa, M Loiarro, M Roggenbuck, M Tariq, M Wink, MD Robinson, MD Robinson, MG Grabherr, NIBR (National Institute of Biological Resources), Oksung Chung, P Vijayakumar, R Medzhitov, R Nielsen, RA Dalloul, RA Goldstein, S Anders, S Sharma, Seondeok Jin, SF Altschul, Stephen J. O’Brien, Sungwoong Jho, T Schwede, T Yamazaki, W He, W Miller, WC Warren, Woon Kee Paek, X Ma, X Zhan, Y Choi, Y Huang, Y Moriya, YS Cho, Yun Sung Cho, Z Yang, Z Yang   +90 more
core   +2 more sources

Self-taught Object Localization with Deep Networks [PDF]

, 2016
This paper introduces self-taught object localization, a novel approach that leverages deep convolutional networks trained for whole-image recognition to localize objects in images without additional human supervision, i.e., without using any ground ...
Anguelov, Dragomir, Bazzani, Loris, Bergamo, Alessandro, Torresani, Lorenzo   +3 more
core   +1 more source

Improvement of active distribution systems with high penetration capacities of shunt reactive compensators and distributed generators using Bald Eagle Search [PDF]

, 2022
This work proposes an intelligent allocation of distributed generation (DG) units and shunt reactive compensators (SRC) with high penetration capacities into distribution systems for power loss mitigation using the Bald Eagle Search (BES) optimization ...
Dardeer, Mostafa, Eid, Ahmad, Kamel, Salah, Zawbaa, Dr Hossam   +3 more
core   +2 more sources

Fault Detection and Classification of a Photovoltaic Generator Using the BES Optimization Algorithm Associated with SVM

International Journal of Photoenergy, 2022
In this work, an innovative approach based on the estimation of the photovoltaic generator (GPV) parameters from the Bald Eagle Search (BES) optimization algorithm, associated with a support vector machine (SVM) classification algorithm, allowed to ...
R. J. Koloko Koloko, P. Ele, R. Wamkeue, A. Melingui   +3 more
doaj   +1 more source