Suchergebnisse - "sparrow optimization algorithm"

Gas concentration prediction based on SSA algorithm with CNN-BiLSTM-attention

Autoren: Wenjing Xing Yanguo Yang Yanxin Zhang et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-13 (2025)

Schlagwörter: Gas concentration, Concentration prediction, Deep learning, Attention mechanism, Sparrow optimization algorithm, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/5f3aee5d4e2a4e2b95af959044e8623d

Optimization of TCN-BiLSTM for dissolved oxygen prediction based on improved sparrow search algorithm

Autoren: Pei Shi Mingjie Tang Quan Wang et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-18 (2025)

Schlagwörter: Dissolved oxygen prediction, Temporal convolutional networks, Sparrow optimization algorithm, Combinatorial models, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/475910d387064b698329037a740ca8d1

A novel hybrid efficiency prediction model for pumping well system based on MDS–SSA–GNN

Autoren: Biao Ma Shimin Dong

Quelle: Energy Science & Engineering, Vol 12, Iss 8, Pp 3272-3288 (2024)

Schlagwörter: Technology, Science, multidimensional scale transformation, system efficiency, 0211 other engineering and technologies, graph neural networks, sparrow optimization algorithm, prediction, 02 engineering and technology, 7. Clean energy, 0202 electrical engineering, electronic engineering, information engineering, pumping wells

Zugangs-URL: https://doaj.org/article/9e31d361c4b04698a0718bece9f3add9

Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning

Autoren: ZHANG Hongrui CAO Xin JIANG Chao et al.

Quelle: Renmin Zhujiang, Pp 1-11 (2025)

Schlagwörter: dam deformation prediction, attention mechanism, deep learning, long short-term memory network, sparrow optimization algorithm, River, lake, and water-supply engineering (General), TC401-506

Dateibeschreibung: electronic resource

Relation: http://www.renminzhujiang.cn/thesisDetails?columnId=122613469&Fpath=home&index=0; https://doaj.org/toc/1001-9235

Zugangs-URL: https://doaj.org/article/67a1d39f27d948b3b86109e1a2e9ed49

L2-SSA-LSTM Prediction Model of Steering Drilling Wellbore Trajectory

Autoren: Yi Gao Na Wang Yihao Ma

Quelle: IEEE Access, Vol 12, Pp 450-461 (2024)

Schlagwörter: long short-term memory neural network, 0202 electrical engineering, electronic engineering, information engineering, sparrow optimization algorithm, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Steering drilling system, wellbore trajectory prediction, L2 regularization, TK1-9971

Zugangs-URL: https://doaj.org/article/9a2f742e1ad64f3d8a619a2916d6f908

Application of multi-modal temporal neural network based on enhanced sparrow optimization in lithium battery life prediction

Autoren: Zeyu Liu Xiaofang Du Yuhai Shi

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)

Schlagwörter: Battery life degradation, Health feature extraction, Temporal neural network, Denoising autoencoder, Sparrow optimization algorithm, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/a4edfeb456f44337ad2c7c6f3f5934e7

A hybrid sparrow optimization Kriging model and its application in geological modeling

Autoren: Xiaonan Shi Yumo Wang Haoran Wu et al.

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)

Schlagwörter: Kriging, Sparrow optimization algorithm, Drilling, Three-dimensional geological modeling, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/d9fb59a8f7cb4662b11469c7e7ac017e

Machine learning-based predictions and analyses of the creep rupture life of the Ni-based single crystal superalloy

Autoren: Fan Zou Pengjie Liu Yanzhan Chen et al.

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)

Schlagwörter: Creep property prediction, XGBoost, Shapley additive explanations, Sparrow optimization algorithm, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/eb3fb189cabf4900b1821c021b89f8c3

Noise Reduction of Steam Trap Based on SSA-VMD Improved Wavelet Threshold Function

Autoren: Shuxun Li Qian Zhao Jinwei Liu et al.

Quelle: Sensors ; Volume 25 ; Issue 5 ; Pages: 1573

Schlagwörter: steam trap, sparrow optimization algorithm, improved threshold function, signal-to-noise ratio, root-mean-square error

Dateibeschreibung: application/pdf

Relation: Physical Sensors; https://dx.doi.org/10.3390/s25051573

Verfügbarkeit: https://doi.org/10.3390/s25051573

An Improved Density-Based Spatial Clustering of Applications with Noise Algorithm with an Adaptive Parameter Based on the Sparrow Search Algorithm

Autoren: Zicheng Huang Zuopeng Liang Shibo Zhou et al.

Quelle: Algorithms, Vol 18, Iss 5, p 273 (2025)

Schlagwörter: DBSACN algorithm, adaptive parameter, sparrow optimization algorithm, data mining, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1999-4893/18/5/273; https://doaj.org/toc/1999-4893

Zugangs-URL: https://doaj.org/article/15f8450879624c71a123279b3c9b2d35

Short-Term Power Load Forecasting Method Based on Improved Sparrow Search Algorithm, Variational Mode Decomposition, and Bidirectional Long Short-Term Memory Neural Network

Autoren: Ming Wen Bo Liu Hao Zhong et al.

Quelle: Energies, Vol 17, Iss 21, p 5280 (2024)

Schlagwörter: load forecasting, sparrow optimization algorithm, improved variational mode decomposition, BiLSTM, Technology

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1996-1073/17/21/5280; https://doaj.org/toc/1996-1073

Zugangs-URL: https://doaj.org/article/eeecfebc7e4a4c9897ef6ff45fcb3e01

A Hybrid Model of Ensemble Empirical Mode Decomposition and Sparrow Search Algorithm-Based Long Short-Term Memory Neural Networks for Monthly Runoff Forecasting

Autoren: Bao-Jian Li Jing-Xin Yang Qing-Yuan Luo et al.

Quelle: Frontiers in Environmental Science, Vol 10 (2022)

Schlagwörter: monthly runoff forecasting, machine learning, ensemble empirical mode decomposition, sparrow optimization algorithm, long short-term neural networks, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenvs.2022.909682/full; https://doaj.org/toc/2296-665X

Zugangs-URL: https://doaj.org/article/d8f6fe5e09404fc5a0e00e42f702cd35

Research on Short-Term Load Forecasting Based on Optimized GRU Neural Network

Autoren: Chao Li Quanjie Guo Lei Shao et al.

Quelle: Electronics, Vol 11, Iss 3834, p 3834 (2022)

Schlagwörter: short-term load forecasting, set empirical mode decomposition, gated recurrent neural network, sparrow optimization algorithm, Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/11/22/3834; https://doaj.org/toc/2079-9292; https://doaj.org/article/7d77f68fb8ed43d881b3756f73331dc7

Verfügbarkeit: https://doi.org/10.3390/electronics11223834
https://doaj.org/article/7d77f68fb8ed43d881b3756f73331dc7

Deep learning-Guided optimization of cobalt catalysts for antibiotic degradation.

Autoren: Jiang S Zhou S Wang C et al.

Quelle: Environmental research [Environ Res] 2025 Dec 01; Vol. 286 (Pt 2), pp. 122811. Date of Electronic Publication: 2025 Sep 15.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0147621 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-0953 (Electronic) Linking ISSN: 00139351 NLM ISO Abbreviation: Environ Res Subsets: MEDLINE

MeSH-Schlagworte: Cobalt*/chemistry , Anti-Bacterial Agents*/chemistry , Deep Learning* , Water Pollutants, Chemical*/chemistry, Catalysis