Table 1 Summary of recent related papers.
Author | Year | Research focus |
|---|---|---|
Calisa et al.17 | 2019 | Occupational health and safety management systems depend on a country’s economic, social, cultural, political, and technological basis. Thus, each nation should create its own management system based on its dynamics |
Hossam et al.18 | 2016 | This research presented a very effective technique for spam filtering by combining the particle swarm optimization and random forest algorithms |
Mohamad et al.19 | 2015 | This study investigated the application of a hybrid approach by combining the particle swarm optimization and artificial neural network algorithms for predicting the rock unconfined compressive strength |
Bi et al.20 | 2022 | Safety and reliability analysis of the solid propellant casting molding process based on fuzzy fault tree analysis, particle swarm optimization and back propagation neural network algorithms |
Dong et al.21 | 2019 | This research studied the sensor network security defense strategy based on attack graph and improved binary particle swarm optimization |
Yang et al.22 | 2019 | This study presented an intelligent prediction strategy for blasting-induced ground vibration using adaptive neuro-fuzzy inference system optimized by genetic algorithm and particle swarm optimization |
Gong et al.23 | 2022 | The authors proposed a multi-period portfolio selection method under the coherent fuzzy environment with dynamic risk-tolerance and expected-return levels |
Wang et al.24 | 2016 | The research focused on identifying the critical factors and paths that influence workers’ safety risk tolerance and to explore how they contribute to accident causal model from a system thinking perceptive |
Bhandari et al.13 | 2022 | This study leveraged survey data from 11811 construction workers from 19 countries to empirically validate the associations between safety climate, risk tolerance, and risk-taking decisions in the workplace using linear-mixed effects model analysis |
Vinnem J.25 | 2021 | This work delivered a summarized case study for a fictitious normally unmanned facility, and presented risk results for three different cases with varying extents of safety systems |
Reddy et al.30 | 2020 | This paper suggests ML algorithms incorporating PCA perform better with high-dimensional datasets. However, ML techniques without dimensionality reduction perform better with low-dimensional datasets |
Pei et al.31 | 2022 | This work proposes scene graph semantic inference for cross-modal image and text matching. Using visual and textual scene graphs and graph convolutional networks, the technique analyses the local semantic correlations of inter-modal object relationships |
Jiang et al.32 | 2021 | This paper proposes visual dialogue for establishing semantic relationships between visual and written content. Aligning visual and textual knowledge reduce the gap between modalities. Graph structure connects textual-semantic visual objects |
