Research graph
References from Machine learning based method for analyzing vibration and noise in large cruise ships. Local targets link to admitted publications; unresolved targets remain external evidence.
Review of research on vibration and noise in open deck paces of large cruise ship
2023 · External reference
10.7551/mitpress/6449.001.0001
10.7551/mitpress/6449.001.0001 · 1975 · External reference
The investigation on cabin noise control of ship structure based on SEA graph method. in International Conference on Offshore Mechanics and Arctic Engineering
2018 · External reference
Development of direct acoustic energy flow analysis (DAEFA) for ship cabin noise in the medium-to-high frequency range
10.3397/1/377027 · 2022 · External reference
Finite element formulations for acoustical radiation
10.1016/0022-460x(83)90678-8 · 1983 · External reference
Numerical analysis and optimization of noises of ship cabins in the low frequency
10.21595/jve.2017.17933 · 2017 · External reference
Vibro-acoustic analysis of complex systems
10.1016/j.jsv.2005.07.010 · 2005 · External reference
On the reciprocity relationship between direct field radiation and diffuse reverberant loading
10.1121/1.1810271 · 2005 · External reference
Modeling structure-borne noise with the Hybrid FE-SEA method
2005 · External reference
Research on noise prediction and acoustics design of shipboard cabin
10.21595/jve.2016.16774 · 2016 · External reference
Human-induced noise study for cruise cabin: Numerical analysis and experimental validation
10.1016/j.oceaneng.2023.115498 · 2023 · External reference
Analysis of structure-borne noise in ship cabins using a floating floor with an inserted viscoelastic layer
10.1007/s00773-008-0039-9 · 2009 · External reference
Fuzzy decision-making framework for explainable golden multi-machine learning models for real-time adversarial attack detection in Vehicular Ad-hoc Networks
10.1016/j.inffus.2023.102208 · 2024 · External reference
Parallel machine learning algorithms
10.58496/mjbd/2023/002 · 2023 · External reference
Lightgbm: A highly efficient gradient boosting decision tree
2017 · External reference
XGBoost: A Scalable Tree Boosting System. in The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
2016 · External reference
CatBoost: gradient boosting with categorical features support
1810 · External reference
Incremental feature selection
10.1023/a:1008363719778 · 1998 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Greedy Function Approximation: A Gradient Boosting Machine
10.1214/aos/1013203451 · 2001 · External reference
A study of cross-validation and bootstrap for accuracy estimation and model selection
1995 · External reference
PredictEFC: a fast and efficient multi-label classifier for predicting enzyme family classes
10.1186/s12859-024-05665-1 · 2024 · External reference
Improved multi-label classifiers for predicting protein subcellular localization
10.3934/mbe.2024010 · 2024 · External reference
Using Recursive Feature Selection with Random Forest to Improve Protein Structural Class Prediction for Low-Similarity Sequences
2021 · External reference
Random forest classifier for remote sensing classification
10.1080/01431160412331269698 · 2005 · External reference
An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing
10.1016/j.jag.2020.102051 · 2020 · External reference
Spatio-temporal estimation of the daily cases of COVID-19 in worldwide using random forest machine learning algorithm
10.1016/j.chaos.2020.110210 · 2020 · External reference
Predicting metabolic pathway types of chemicals and enzymes with a heterogeneous network embedding algorithm
10.2174/1574893618666230224121633 · 2023 · External reference
10.3934/mbe.2023632
10.3934/mbe.2023632 · External reference
PCDA-HNMP: Predicting circRNA-disease association using heterogeneous network and meta-path
10.3934/mbe.2023909 · 2023 · External reference
Scikit-learn: Machine Learning in Python
2011 · External reference
Comparison of the predicted and observed secondary structure of T4 phage lysozyme
10.1016/0005-2795(75)90109-9 · 1975 · External reference
Comparing two K-category assignments by a K-category correlation coefficient
10.1016/j.compbiolchem.2004.09.006 · 2004 · External reference
Support-vector networks
10.1007/bf00994018 · 1995 · External reference
