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Biogeography-Based Optimization: Algorithms and Applications [[electronic resource] /] / by Yujun Zheng, Xueqin Lu, Minxia Zhang, Shengyong Chen
| Biogeography-Based Optimization: Algorithms and Applications [[electronic resource] /] / by Yujun Zheng, Xueqin Lu, Minxia Zhang, Shengyong Chen |
| Autore | Zheng Yujun |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (225 pages) |
| Disciplina | 006.38 |
| Soggetto topico |
Engineering
Artificial intelligence Algorithms Mathematical optimization Computational Intelligence Artificial Intelligence Optimization Biogeosciences |
| ISBN | 981-13-2586-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- The basic biogeography-based optimization -- Localized basic biogeography-based optimization: Improved by local topologies -- Ecogeography-based optimization: Improved by new migration mechanisms -- Hybridization with other algorithms -- Applications in transportation -- Applications in image processing -- Applications in neural network learning. |
| Record Nr. | UNINA-9910483459203321 |
Zheng Yujun
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Methods for Blade Icing Detection of Wind Turbines / / by Xu Cheng, Fan Shi, Xiufeng Liu, Shengyong Chen
| Computational Methods for Blade Icing Detection of Wind Turbines / / by Xu Cheng, Fan Shi, Xiufeng Liu, Shengyong Chen |
| Autore | Cheng Xu |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (347 pages) |
| Disciplina | 629.8 |
| Altri autori (Persone) |
ShiFan
LiuXiufeng ChenShengyong |
| Collana | Engineering Applications of Computational Methods |
| Soggetto topico |
Mechatronics
Renewable energy sources Time-series analysis Machine learning Renewable Energy Time Series Analysis Machine Learning |
| ISBN | 981-9667-63-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- State of the art -- Modeling of time series -- Attention-based convolutional neural network for blade icing detection -- Multiscale Graph-based neural network for blade icing detection -- Multiscale Wavelet-Driven Graph Convolutional Network for Blade Icing Detection -- Prototype-based Semi-supervised blade icing detection -- Class Imbalanced Federated Learning Model for Blade Icing Detection -- Heterogeneous Federated Learning Model for Blade Icing Detection -- Blockchain-enhanced Federated Learning Model for Blade Icing Detection -- Concluding remarks. |
| Record Nr. | UNINA-9911015874903321 |
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Cheng Xu
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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