University of Skikda

本机构学者在这里署名、按本站篇数

合作机构同一篇文章里的其他机构

1. Hohai University中国2
2. Ilia State University格鲁吉亚2
3. University Frères Mentouri Constantine 1阿尔及利亚2
4. Korea University韩国2
5. Dongyang University韩国2
6. Università degli Studi della Tuscia意大利2
7. Duy Tan University越南2
8. Hassiba Benbouali University of Chlef阿尔及利亚2

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逐年被引

最新文献

1. 1
   An enhanced STPA–Bayesian network framework for quantitative risk assessment with sparse accident data: A case study of gas turbine systemsJournal of Loss Prevention in the Process Industries20270
2. 2
   Enhancement of generic data in risk assessment using a fuzzy BORA and Bayesian network approach: Case study CP2K Unit reactor, SKIKDAJournal of Loss Prevention in the Process Industries20262
3. 3
   Daily river water temperature prediction using regularized greedy forest enhanced TVF-EMD and empirical Fourier decompositionStochastic Environmental Research and Risk Assessment20260
4. 4
   Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanationsStochastic Environmental Research and Risk Assessment202514
5. 5
   Uncertainty assessment of improved multistate reliability in the sociotechnical systems based on the polymorphic fuzzy entropy fault tree analysis and triptych cost-benefit-safety analysisJournal of Loss Prevention in the Process Industries202512
6. 6
   Reliability-based maintenance optimization of long-distance oil and gas transmission pipeline networksReliability Engineering & System Safety202450
7. 7
   Maintenance as a sustainability tool in high-risk process industries: A review and future directionsJournal of Loss Prevention in the Process Industries20249
8. 8
   Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing dataStochastic Environmental Research and Risk Assessment202413
9. 9
   Enhancing accuracy of extreme learning machine in predicting river flow using improved reptile search algorithmStochastic Environmental Research and Risk Assessment202322
10. 10
    Collision hazard modeling and analysis in a multi-mobile robots system transportation task with STPA and SPNReliability Engineering & System Safety202338

高被引文献

1. 1
   Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based modelStochastic Environmental Research and Risk Assessment202098
2. 2
   Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approachNatural Hazards202195
3. 3
   Reliability-based maintenance optimization of long-distance oil and gas transmission pipeline networksReliability Engineering & System Safety202450
4. 4
   Collision hazard modeling and analysis in a multi-mobile robots system transportation task with STPA and SPNReliability Engineering & System Safety202338
5. 5
   Enhancing accuracy of extreme learning machine in predicting river flow using improved reptile search algorithmStochastic Environmental Research and Risk Assessment202322
6. 6
   Deterministic assessment of seismic risk in Constantine city, Northeast AlgeriaNatural Hazards201616
7. 7
   Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanationsStochastic Environmental Research and Risk Assessment202514
8. 8
   Improved monthly streamflow prediction using integrated multivariate adaptive regression spline with K-means clustering: implementation of reanalyzed remote sensing dataStochastic Environmental Research and Risk Assessment202413
9. 9
   Uncertainty assessment of improved multistate reliability in the sociotechnical systems based on the polymorphic fuzzy entropy fault tree analysis and triptych cost-benefit-safety analysisJournal of Loss Prevention in the Process Industries202512
10. 10
    Maintenance as a sustainability tool in high-risk process industries: A review and future directionsJournal of Loss Prevention in the Process Industries20249

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