ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Comparison of different optimization algorithms. by Hang Zhao (143592)

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, MSE, and MAE of the optimised algorithms. by Itxasne Antúnez Sáenz (22794696)

Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements. by Martina Bukač (20161460)

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The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

TreeMap 2016 Stand Size Code Algorithm (Image Service) by U.S. Forest Service (17476914)

“…format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/datasets/usfs::treemap-2016-stand-size-code-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_StandSizeCode_Algorithm/ImageServer "> ArcGIS GeoService</a></li></ul><div> For complete information, please visit <a href="https://data.gov">https://data.gov</a>.…”

Summary of recent and state-of-the-art optimization algorithms. by Mahmood A. Jumaah (22272371)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Performance comparison of ChildEmoNet algorithm with recent state-of-the-art methods. by Zhang Shanshan (22272359)

Mitochondrial toxic prediction of marine alga toxins using a predictive model based on feature coupling and ensemble learning algorithms by Guangyin Jia (21075537)

“…By comparing 8 machine learning algorithms and using a weighted soft voting method to integrate the two optimal algorithms, we established 108 prediction models and identified the best ensemble learning model MACCS_LK for screening and defining its application domain. …”

Model establishment of the human heart. by Hang Zhao (143592)

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Recent Improvements to the NWChem COSMO Module by Rafael de P. Soares (19321454)

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Action potential of sample points in model 1. by Hang Zhao (143592)

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Action potential of sample points in model 2. by Hang Zhao (143592)

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Action potential of sample points in model 0. by Hang Zhao (143592)

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Main code. by Jingguo Bi (21439766)

Meta-analysis of some recent related works. by Sultan H. Almotiri (14029251)

Risk element category diagram. by Yao Hu (3479972)

Comparison of ablation study. The deep model which consists of MOCOA-VMD and attention scheme achieves the best accuracy. by Hang Zhao (143592)

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