A machine learning methodology for probabilistic risk assessment of process operations: A case of subsea gas pipeline leak accidents

Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE)

Farzana Anowar, Samira Sadaoui, Bassant Selim · Computer Science Review · 2021 · 770 citations

Empirical Comparison, Engineering, Data Science +10

A novel hybrid KPCA and SVM with GA model for intrusion detection

Fangjun Kuang, Weihong Xu, Siyang Zhang · Applied Soft Computing · 2014 · 421 citations

Engineering, Data Science, Data Mining +5

Determination of the spread parameter in the Gaussian kernel for classification and regression

Wenjian Wang, Zongben Xu, Xiaoyun Zhang · Neurocomputing · 2003 · 393 citations

Support Vector Machine, Density Estimation, Engineering +8

A data-driven Bayesian network learning method for process fault diagnosis

Md. Tanjin Amin, Faisal Khan, Salim Ahmed et al. · Process Safety and Environmental Protection · 2021 · 241 citations

Fault Diagnosis, Engineering, Machine Learning +17

Validation of risk analysis for ship collision in narrow waters by using fuzzy Bayesian networks approach

Emre Akyüz, Osman Turan, Özcan Arslan · Ocean Engineering · 2021 · 141 citations

Engineering, Ship Maneuvering, Risk Analysis +17