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61“…Support Vector Machine (SVM), Random Forest (RF), and Extreme Learning Machine (ELM) were applied to three different feature data sets for classification and level assessment of paraffin. …”
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62“…Although the online operation time of KELM is longer than ELM, due to the complexity of the wavelet kernel, it still has better real-time performance.…”
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63“…Moreover, we use a single hidden layer neural network extreme learning machine (ELM) algorithm to classify the dimensionality-reduced data. …”
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64por Zhang, Zhaoyue, Zhang, An, Sun, Cong, Xiang, Shuaida, Guan, Jichen, Huang, Xuedong“…The experimental results reveal that the PSR-ELM algorithm achieves fast and accurate results, and, when the traffic flow state is sparse, the degree of chaos is reduced and the prediction effect is improved. …”
Publicado 2020
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65“…A prediction method based on an improved salp swarm algorithm (ISSA) and extreme learning machine (ELM) was proposed to improve line heating and forming. …”
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66por Macaya-Sanz, David, Witzell, Johanna, Collada, Carmen, Gil, Luis, Martín, Juan A.“…Stem samples were taken i) from different heights of the crown of a 168-year-old elm tree, ii) from adult elm trees growing in a common garden and representing a gradient of resistance to DED, and iii) from trees growing in two distant natural populations, one of them with varying degrees of vitality. …”
Publicado 2023
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67“…On this basis, ELM, GWO-ELM, PSO-ELM, GWO-RBFNN and IGWO-ELM are used for temperature compensation experiments. …”
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68por Szczepaniec, Adrianna, Creary, Scott F., Laskowski, Kate L., Nyrop, Jan P., Raupp, Michael J.“…METHODOLOGY/PRINCIPAL FINDINGS: By sampling arthropods in elm canopies over three years in two locations, we document changes in the structure of communities following applications of imidacloprid. …”
Publicado 2011
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70“…By incorporating the annotated information from the ELM resource, iELM provides functional details of PPIs. …”
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71por Tang, Longqing, Hyun, Min Woo, Yun, Yeo Hong, Suh, Dong Yeon, Kim, Seong Hwan, Sung, Gi-Ho, Choi, Hyung-Kyoon“…During an investigation of fungi from an elm tree infested with bark beetles in Korea, one isolate, DUCC401, was isolated from elm wood. …”
Publicado 2012
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72Multi-class BCGA-ELM based classifier that identifies biomarkers associated with hallmarks of cancerpor Sachnev, Vasily, Saraswathi, Saras, Niaz, Rashid, Kloczkowski, Andrzej, Suresh, Sundaram“…BCGA-ELM compares or exceeds other algorithms in terms of accuracy. …”
Publicado 2015
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73“…Methods and Results: We propose a new, economic, and easy to setup LEC Motility (ELM) assay that will contribute to the study of lymphangiogenesis. …”
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74por Toprak, Abdullah“…In the present study, Extreme Learning Machine (ELM) classification was performed for 9 features based on image segmentation in the Breast Cancer Wisconsin (Diagnostic) data set in the UC Irvine Machine Learning Repository database. …”
Publicado 2018
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75por Binalrimal, Sultan, AlDrees, Abdulmajed, AlWehaibi, Mohammed, AlAsmary, Mohammed, AlShammery, Abdulaziz, AlHaidri, Essam, AlQabbaa, Lama“…Aim: Dental students have increasing patient contact during their education and clinical years, putting them at high risk of cross-infection; therefore, the purpose of this study was to determine the level of infection control practices among dental students and interns at Riyadh Elm University, Riyadh, Saudi Arabia. Methods: Total of 400 questionnaires were distributed among interns and clinical students at Riyadh Elm University. …”
Publicado 2019
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76por Jiménez-López, Laura, Eugenio, María E., Ibarra, David, Darder, Margarita, Martín, Juan A., Martín-Sampedro, Raquel“…The potential use of elm wood in lignocellulosic industries has been hindered by the Dutch elm disease (DED) pandemics, which have ravaged European and North American elm groves in the last century. …”
Publicado 2020
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77por Elveny, Marischa, Hosseini, Meysam, Chen, Tzu-Chia, Lawal, Adedoyin Isola, Alizadeh, S. M.“…Thus, we propose a new Machine Learning (ML) method based on Extreme Learning Machine (ELM) to model this important value. A real database containing 483 actual datasets is compared with the outputs predicted by the ELM model. …”
Publicado 2021
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78“…Finally, after image recognition under different working conditions, it is proved that the recognition accuracy of AE-ELM based on LOG-T-SSA-LSSVM classification is significantly improved compared with traditional ELM network and Particle Swarm Optimization-Extreme Learning Machine (PSO-ELM) network.…”
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79“…Based on relationship between annual and CO2 emission, a novel multi-step prediction algorithm called Extreme Learning Machine with Artificial Bee Colony (ELM-ABC) is proposed for forecasting annual GDP based on CO2 emission and historical GDP features. …”
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80“…Subsequently, common spatial subspace decomposition (CSSD) algorithm and extreme learning machine with kernel (ELM_Kernel) algorithm are used to perform the types of tasks classification of motor imagery EEG signals. …”
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