Results 41 to 50 of about 1,926 (224)

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

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

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

Grey Wolf Cuckoo Search Algorithm for Training Feedforward Neural Network and Logic Gates Design [PDF]

, 2023
This paper presents a new hybrid Swarm Intelligence (SI) algorithm based on the Cuckoo Search Algorithm (CSA) and Grey Wolf Optimizer (GWO) called the Grey Wolf Cuckoo Search (GWCS) algorithm. The GWCS algorithm extracts and combines CSA and GWO features
Layak Ali, et al.
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

Image retrieval based on swarm intelligence [PDF]

, 2021
To keep pace with the development of modern technology in this information technology era, and the immense image databases, whether personal or commercial, are increasing, is requiring the management of these databases to strong and accurate systems to ...
Khaled, Ragad W., Khaleel, Shahbaa I.
core   +3 more sources

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

LAMBADA: Backward Chaining for Automated Reasoning in Natural Language [PDF]

, 2022
Remarkable progress has been made on automated reasoning with knowledge specified as unstructured, natural text, by using the power of large language models (LMs) coupled with methods such as Chain-of-Thought prompting and Selection-Inference.
Bhatia, Deepti, Kazemi, Seyed Mehran, Kim, Najoung, Ramachandran, Deepak, Xu, Xin   +4 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