Energy Harvesting and Storage: Materials, Devices, and Applications IX 2019
DOI: 10.1117/12.2522983
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Studying the effect of current on an electric-powered ducted fan using artificial neural networks

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Cited by 2 publications
(2 citation statements)
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“…Moreover, the usage of the machine learning could you help losing weight and improve the life quality [13][14][15][16][17][18][19][20][21][22][23]. Moreover, metaheuristic algorithms, integrated with machine learning techniques [24][25][26][27][28][29][30][31][32][33][34][35][36], can optimize the selection of input parameters for WBV studies on weight loss and quality of life improvements, overcoming challenges related to standardized protocols and diverse parameter settings, and providing more consistent and reliable outcomes [37][38][39][40][41][42][43][44][45][46][47][48][49]. In this work, the work of [1,12] is extended to cover the effect of the human gender on the apparent mass.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the usage of the machine learning could you help losing weight and improve the life quality [13][14][15][16][17][18][19][20][21][22][23]. Moreover, metaheuristic algorithms, integrated with machine learning techniques [24][25][26][27][28][29][30][31][32][33][34][35][36], can optimize the selection of input parameters for WBV studies on weight loss and quality of life improvements, overcoming challenges related to standardized protocols and diverse parameter settings, and providing more consistent and reliable outcomes [37][38][39][40][41][42][43][44][45][46][47][48][49]. In this work, the work of [1,12] is extended to cover the effect of the human gender on the apparent mass.…”
Section: Introductionmentioning
confidence: 99%
“…Tabu search algorithm is another trajectory-based method that has been used in optimizing the optimal sizing of hybrid PV/energy storage systems [65][66][67][68][69]. Nature-inspired methods follow the laws of nature and have been used in predicting glass properties by using physicsand chemistry-informed machine learning models [30,[70][71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86][87]. One example of this type of application is the comparative analysis of the latest swarm-based optimization approaches [88][89][90] under partial shading conditions, which found that under heavier shading conditions, the grasshopper optimization algorithm (GOA) [71,74,[91][92][93][94][95] and salp swarm algorithm (SSA) [5,[96][97][98][99][100][101][102][103][104] outperformed other swarm-based maximum power point tracking (MPPT) algorithms …”
Section: Introductionmentioning
confidence: 99%