Results 21 to 30 of about 37,147 (226)

Power loss reduction by arctic wolf optimization algorithm [PDF]

, 2019
This paper proposes Arctic Wolf optimization (AWO) algorithm to solve the optimal reactive power problem. Deeds of the Arctic wolf have been imitated to formulate the proposed algorithm.
Lenin, Kanagasabai
core   +3 more sources

Application of Grey Wolf Optimizer Algorithm for Optimal Power Flow of Two-Terminal HVDC Transmission System [PDF]

, 2017
This paper applies a relatively new optimization method, the Grey Wolf Optimizer (GWO) algorithm for Optimal Power Flow (OPF) of twoterminal High Voltage Direct Current (HVDC) electrical power system.
Hassan, Heba Ahmed
core   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Optimization of shape and direction of the greenhouse using gray wolf algorithm [PDF]

, 2023
Greenhouse structure is one of the most important factors in the greenhouse industry; increasing energy prices is a major challenge for greenhouse owners.
Khafajeh, Hamid, Younesi Alamouti, Mohammad, Zarein, Mohammad   +2 more
core   +1 more source

Joint power control and user grouping mechanism for efficient uplink non‐orthogonal multiple access‐based 5G communication: Utilising the Lèvy‐flight firefly algorithm

IET Networks, EarlyView., 2023
We utilise a metaheuristic optimisation method, inspired by nature, called the Lévy‐flight firefly algorithm (LFA), to tackle the power regulation and user grouping in the NOMA systems. Abstract The non‐orthogonal multiple access strategies have shown promise to boost fifth generation and sixth generation wireless networks' spectral efficiency and ...
Zaid Albataineh, Khaled F. Hayajneh, Haythem Bany Salameh, Raed Al Athamneh, Yaser Jararweh   +4 more
wiley   +1 more source

Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks? [PDF]

, 2012
Correlations in the signal observed via functional Magnetic Resonance Imaging (fMRI), are expected to reveal the interactions in the underlying neural populations through hemodynamic response.
A. Gramfort, Achard, Amaral, B. Thirion, Bassett, Beckmann, Bekinschtein, Bialonski, Bickel, Biswal, Bullmore, Calhoun, Chan, Chinn, Conturo, Cordes, Cuthill, Damoiseaux, Dawid, Dehaene, Dempster, Deuker, Eguiluz, Fair, Fair, Felleman, Finger, Fisher, Fox, Fox, Friedman, Friston, G. Varoquaux, Giudici, Goodale, Greicius, Gross, Hagmann, Humphries, Ioannides, J.B. Poline, Kiviniemi, Lauritzen, Le Bihan, Ledoit, Marlin, Marrelec, Papadimitriou, Raichle, Ramachandran, Robins, Rothman, Rütimann, Sadaghiani, Salvador, Seeley, Seeley, Shulman, Smith, Smith, Spirtes, Sporns, Sporns, Sporns, Stam, Stephan, Strogatz, Tononi, Tononi, Tzourio-Mazoyer, Van Den Heuvel, Varoquaux, Wang, Watts   +73 more
core   +7 more sources

Research on Improving Gray Wolf Algorithm Based on Multi-Strategy Fusion

IEEE Access, 2023
To address the shortcomings of the basic Gray Wolf Optimization (GWO) algorithm in solving complex problems, such as relying on the initial population, converging too early, and easily falling into local optimality, a chaotic reverse learning ...
Xiaoxiao Yang, Yihui Qiu
doaj   +1 more source

Coverage, Continuity and Visual Cortical Architecture [PDF]

, 2011
The primary visual cortex of many mammals contains a continuous representation of visual space, with a roughly repetitive aperiodic map of orientation preferences superimposed.
A Antonini, A Cimponeriu, A Das, A Grabska-Barwinska, A Grinvald, A Newell, A Turing, AA Koulakov, B Chapman, BJ Farley, BS Wang, C Beaulieu, C Blakemore, C Chiu, C von der Malsburg, CE Giacomantonio, CE Giacomantonio, DH Hubel, DH Hubel, DJ Field, DL Applegate, DL Ringach, DN Spinelli, DR Muir, E Bartfeld, E Erwin, E Erwin, F Hoffsümmer, F Wolf, F Wolf, F Wolf, F Wolf, F Wolf, F Wörgötter, G Blasdel, GG Blasdel, GG Blasdel, GJ Goodhill, GJ Goodhill, GJ Goodhill, GJ Goodhill, H Ritter, H Ritter, H Simpson, H Yu, H Yu, HC Lee, HU Bauer, HY Lee, JC Crowley, JC Horton, JC Horton, JH Kaas, JO Kriegs, JO Kriegs, JR Wible, JS Lund, K Kang, K Obermayer, K Obermayer, K Obermayer, K Obermayer, K Ohki, K Pawelzik, K Rose, KD Miller, L Reichl, L Reichl, L Reichl, LE White, LE White, M Abramowitz, M Huang, M Kaschube, M Kaschube, M Kaschube, M Kaschube, M Kaschube, M Kaschube, M Schnabel, M Schnabel, M Schnabel, M Stetter, MA Carreira-Perpiñán, MA Carreira-Perpiñán, MA Carreira-Perpiñán, MC Cross, MC Cross, N Mayer, N Mermin, NM Mayer, NV Swindale, NV Swindale, NV Swindale, NV Swindale, NV Swindale, NV Swindale, NV Swindale, OR Bininda-Emonds, P Berkes, P Buzas, P Dayan, P Manneville, PA Hetherington, PC Bressloff, PC Bressloff, PJ Thomas, PJ Thomas, R Durbin, R Durbin, R Durbin, R Linsker, R Linsker, S Schuett, S Tanaka, S Wimbauer, SDV Hooser, T Bonhoeffer, T Bonhoeffer, T Hensch, T Kohonen, T Kohonen, UA Ernst, V Braitenberg, W Keil, WH Bosking, WH Bosking, Y Frégnac, Y Frégnac, Z Kielian-Jaworowsk   +129 more
core   +3 more sources

Lossy network correlated data gathering with high-resolution coding [PDF]

, 2005
Sensor networks measuring correlated data are considered, where the task is to gather data from the network nodes to a sink. A specific scenario is addressed, where data at nodes are lossy coded with high-resolution, and the information measured by the ...
Beferull-Lozano, Baltasar, Cristescu, Răzvan   +1 more
core   +3 more sources

Herschel/PACS View Of Disks Around Low-Mass Stars And Brown Dwarfs In The TW Hydrae Association [PDF]

, 2015
We conducted Herschel/PACS observations of five very low-mass stars or brown dwarfs located in the TW Hya association with the goal of characterizing the properties of disks in the low stellar mass regime.
Allers, Katelyn N., Brown, Joanna M., Gong, Munan A., Herczeg, Gregory J., Kraus, Adam L., Liu, Michael C., Liu, Yao, Shkolnik, Evgenya L., van Dishoeck, Ewine F.   +8 more
core   +1 more source