Results 41 to 50 of about 17,774 (232)

LSTM-GWO performance evaluation with experiment 7.

, 2022
LSTM-GWO performance evaluation with experiment 7.
Naglaa Fathy Hassan (13189914), Mustafa Abdul Salam (10941730), Mohamed Abd El-Fatah (13189911)   +2 more
core   +1 more source

Photovoltaic power prediction based on improved grey wolf algorithm optimized back propagation [PDF]

Archives of Electrical Engineering, 2023
At present, the back-propagation (BP) network algorithm widely used in the short-term output prediction of photovoltaic power stations has the disadvantage of ignoring meteorological factors and weather conditions in the input.
Ping He, Jie Dong, Xiaopeng Wu, Lei Yun, Hua Yang   +4 more
doaj   +1 more source

LSTM-GWO performance evaluation with experiment 5.

, 2022
LSTM-GWO performance evaluation with experiment 5.
Naglaa Fathy Hassan (13189914), Mustafa Abdul Salam (10941730), Mohamed Abd El-Fatah (13189911)   +2 more
core   +1 more source

COVID-19 Pandemic Prediction Using Hyper-Parameter-Tuned ANN, Bi-LSTM, and Stacked-LSTM in Türkiye

Düzce Üniversitesi Bilim ve Teknoloji Dergisi
COVID-19 first appeared in China in December 2019. In Türkiye, the first case was seen on March 11, 2020. Since the emergence of COVID-19, it has rapidly affected the world and caused the death of many people.
Serpil Özer, Ayse Tugba Dosdogru, Mustafa Göçken   +2 more
doaj   +1 more source

GWO in Interesting Times: Joint Editorial

Gender, Work & Organization
This editorial explores our contemporary “interesting times,” marked by intensifying global crises—deepening inequalities, conflicts in regions like Gaza and Sudan, and an escalating climate emergency—that expose systemic flaws in political, economic, and social structures.
Bastian, Bettina, Vershinina, Natalia, Wood, Bronwyn, Al-Dajani, Haya, Cooke, Fang Lee, Esnard, Talia, Imas, J. Miguel, Kelan, Elisabeth, Garavan, Thomas, Giazitzoglu, Andreas, Hughes, Christina, Mackenzie, Clíodhna, Özbilgin, Mustafa, Ozkazanc-Pan, Banu, Peng, Yinni, Prasad, Ajnesh, Rodgers, Yana van der Meulen, Sabelis, Ida, Swan, Elaine, Taylor, Scott   +19 more
openaire   +5 more sources

Temporal sequencing planning method in open-pit coal mining considering flow directions and flow rates of material blocks

Meitan xuebao
Open-pit coal mining is a complex system involving multiple intersecting processes, whose three-dimensional dynamic spatiotemporal evolution requires scientific planning.
Weiqiang GUO, Guangwei LIU, Runcai BAI, Huizhong ZHU, Zhiqing GUO, Jie YUAN   +5 more
doaj   +1 more source

Grey wolf optimizer (GWO) for automated offshore crane design [PDF]

2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016
In this paper, a new meta-heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is applied to offshore crane design. An offshore crane is a pedestal-mounted elevating and rotating lifting device used to transfer materials or personnel to or from marine vessels, barges and structures whereby the load can be moved horizontally in one or more ...
Ibrahim A. Hameed, Robin T. Bye, Ottar L. Osen   +2 more
openaire   +2 more sources

Diabetic Retinopathy Classification With Convolutional Neural Networks Designed by the Fuzzy Grey Wolf Optimizer With Parameter Adaptation

AI &Innovation, EarlyView.
ABSTRACT The detection and classification of diseases have become a field of interest for artificial intelligence in recent years, where the development of methods and models that allow support for specialists in different health fields has allowed early detection of diseases and the provision of timely treatment to patients.
Rodrigo Cordero‐Martínez, Daniela Sánchez, Patricia Melin   +2 more
wiley   +1 more source

The LSTM-GWO accuracy and loss with experiment 3.

, 2022
The LSTM-GWO accuracy and loss with experiment 3.
Naglaa Fathy Hassan (13189914), Mustafa Abdul Salam (10941730), Mohamed Abd El-Fatah (13189911)   +2 more
core   +1 more source

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

Deep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang, Guoyan Zhao, Meng Wang, Taraka Pattela   +3 more
wiley   +1 more source