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Enhancing Mix Proportion Design of Low Carbon Concrete for Shield Segment Using a Combination of Bayesian Optimization-NGBoost and NSGA-III Algorithm [PDF]
The demand for segment concrete increases rapidly with the expansion of urban rail transit and underground space, which may lead to carbon emissions (CE). In the production of segment concrete, using supplement cementitious materials (SCM) can be used to
Jian Lei +2 more
exaly +3 more sources
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This study examines the use of snow avalanche susceptibility maps (SASMs) to identify areas prone to avalanches and develop measures to mitigate the risk in the Province of Sondrio, Italy. Various machine learning classifiers such as Random Forest, Gradient Boosting Machines, and AdaBoost, as well as newer classifiers like XGBoost, LightGBM, and ...
Suleyman Sefa Bilgilioğlu +1 more
exaly +3 more sources
NGBoost Classifier Using Deep Features for Pneumonia Chest X-Ray Classification
Pneumonia remains a major global health concern, leading to significant mortality and morbidity. The identification of pneumonia by chest X-rays can be difficult due to its similarity to other lung disorders.
Mahanand Belathur Suresh +2 more
exaly +2 more sources
2025 IEEE Seventh International Conference on DC Microgrids (ICDCM)
Noman Shabbir, Oleksandr Husev
exaly +2 more sources
Noman Shabbir, Oleksandr Husev
exaly +2 more sources
Research on Cigarette Moisture Anomaly Risk Identification Based on an Improved NGBoost Algorithm
International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024)Liming Zhu
exaly +2 more sources
Revealing Brain Tumor Using Cross-Validated NGBoost Classifier
International Journal of Machine Learning and Networked Collaborative Engineering, 2020Shawni Dutta
exaly

