Zobrazeno 1 - 10
of 489
pro vyhledávání: '"gray wolf optimizer"'
Publikováno v:
Journal of Electrical Engineering and Computer, Vol 6, Iss 1, Pp 38-46 (2024)
Penelitian ini mengeksplorasi penggunaan algoritma Grey Wolf Optimizer (GWO) untuk mengoptimalkan parameter pada Convolutional Neural Network (CNN) dalam mengenali ekspresi wajah manusia. Ekspresi wajah adalah aspek penting dalam komunikasi manusia,
Externí odkaz:
https://doaj.org/article/eca8c62d25364e5ba17606705b8f3916
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 1, Pp 317-332 (2024)
Reliable long-term settlement prediction of a high embankment relates to mountain infrastructure safety. This study developed a novel hybrid model (NHM) that combines a joint denoising technique with an enhanced gray wolf optimizer (EGWO)-ν-support
Externí odkaz:
https://doaj.org/article/e14e0e5508774dce843748b31aa11229
Autor:
Salima Nebti, Mohammed Redjimi
Publikováno v:
Journal of Communications Software and Systems, Vol 19, Iss 4, Pp 230-243 (2023)
Wireless networks are frequently installed in arduous environments, heightening the importance of their consistent operation. To achieve this, effective strategies must be implemented to extend the lifespan of nodes. Energy-conserving routing protoco
Externí odkaz:
https://doaj.org/article/d33c4c68917e49319121bc75c6628671
Autor:
Yijie Zhang, Yuhang Cai
Publikováno v:
Biomimetics, Vol 9, Iss 10, p 648 (2024)
The high dimensionality of large datasets can severely impact the data mining process. Therefore, feature selection becomes an essential preprocessing stage, aimed at reducing the dimensionality of the dataset by selecting the most informative featur
Externí odkaz:
https://doaj.org/article/573e4c73952341bd8f87ab793968a59e
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7092 (2024)
In this paper, a novel intelligent controller for the trajectory tracking control of a nonholonomic mobile robot with time-varying parameter uncertainty and external disturbances in the case of tire hysteresis loss is proposed. Based on tire dynamics
Externí odkaz:
https://doaj.org/article/6918ac2095bd4e63a084c427155ed7b2
Prediction of complex public opinion evolution based on improved multi-objective grey wolf optimizer
Publikováno v:
Egyptian Informatics Journal, Vol 24, Iss 2, Pp 149-160 (2023)
In an emergency, predicting the evolution trends of network public opinion is of great significance for governments to manage the situation and associated social public opinion trends. Most of the existing public opinion prediction models have the di
Externí odkaz:
https://doaj.org/article/99a28fd566254da5b99e115f02f1fab1
Publikováno v:
Case Studies in Thermal Engineering, Vol 53, Iss , Pp 103858- (2024)
Thermal error of a CNC machine tool has a serious effect on its machining accuracy. In order to reduce the thermal error, establishing an accurate and robust thermal error model is necessary. A new data-driven thermal error model is proposed based on
Externí odkaz:
https://doaj.org/article/7cccf21e21a746bd8b600436f117d021
Publikováno v:
Alexandria Engineering Journal, Vol 68, Iss , Pp 93-110 (2023)
Given the China's construction of green aviation, a reliable carbon emissions prediction is essential to identify and mitigate the environmental impact of the aviation industry. In this regard, the current research aims at constructing “decompositi
Externí odkaz:
https://doaj.org/article/ffa563d894394607944bad663fdf50ea
Publikováno v:
Energies, Vol 17, Iss 9, p 2136 (2024)
The deployment of a green power alternative within an isolated network, powered by renewable energy sources, in the “Three North” region of China can facilitate the substitution of high-energy-consuming industrial loads with green power. However,
Externí odkaz:
https://doaj.org/article/c54697683bfa4cc4bdfb9343d91ad8cd
Autor:
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie, Carla S. S. Ferreira, Georgia Destouni, Zahra Kalantari
Publikováno v:
Earth's Future, Vol 11, Iss 11, Pp n/a-n/a (2023)
Abstract Flooding is one of the most serious and frequent natural hazards affecting human life, property, and the environment. This study develops and tests a deep learning approach for large‐scale spatial flood modeling, using Convolutional Neural
Externí odkaz:
https://doaj.org/article/81d7fbe09c374627954a187faa2e0e3e