Application of detailed radiation risk models to populations affected by radiation doses from the Chernobyl fallout allows forecasting and estimation of the consequences of the accident in countries far from the place of the accident, and comparison of the model estimates with epidemiological observations in low-dose conditions among large populations. Both tasks need timedependent estimates of...

Millions of people are dying, and billions properties damaged by road traffic accidents each year worldwide. In the case our country Ethiopia, effect is even more causing injuries, death, property damage. Forecasting accident predicting severity contributes a role indirectly in reducing accidents. This study deals with forecasting number prediction an Oromia Special Zone using deep artificial n...

Assessment of likely consequences of a potential accident is a major concern for loss prevention and safety promotion in process industry. Loss of confinement on a storage tank, vessel or piping on industrial sites could imply atmospheric dispersion of toxic or flammable gases. Gas dispersion forecasting is a difficult task since turbulence modeling at large scale involves expensive calculation...

To minimize industrial accidents, it's critical to evaluate a firm's priorities for prevention factors and strategies since such evaluation provides decisive information for preventing industrial accidents and maintaining safety management. Therefore, this paper proposes the evaluation of priorities through statistical testing of prevention factors with a cause analysis in a cause and effect mo...

Abstract Nuclear power has special safety requirements and must be generated on the premise of nuclear safety. It is necessary to forecast abnormal situation system equipment as soon possible, so we can control accident beforehand prevent risk caused by failure accident. At present, pre-accident method in plant mainly relies subjective experience personnel. In contrast, intelligent forecasting ...