Applying Machine Learning for Threshold Selection in Drought Early Warning System

Evaluating the Application of a Financial Early Warning System in the Iranian Banking System

One of the significant problems of banks and investors in Iran is the lack of precise awareness about the financial performance of each bank and the roadmap for improving the conditions. Besides, the undesirable status of the financial performance of banks becomes evident only when the improvement of conditions is complicated. In this paper, a data mining-based early warning system (EWS) model ...

Design and Development of Early Warning System for Desertification and Land Degradation

Early warning systems are key components of strategies to reduce risk. This research, by adopting a systematic approach in the management of the risk of desertification and by including previously developed models and systems, offers an integrated efficient structure in terms of early warning for the risk of desertification as a pilot system for semi-arid areas of west Golestan Province in IRAN...

Integrated System of Early Warning, Monitoring and Drought Risk Analysis for Romania

Drought is one of the major natural calamities causing important damages to natural vegetation, agriculture and the society. The climate changes scenarios forecast the increase and intensification of extreme phenomena all over the globe. Romania is one of the most vulnerable countries, and has 7 million hectares located within areas affected by the risk of desertification. An integrated system ...

Early warning system.

Data Mining Early Warning System Based on Virtual Learning Environment

In this paper, multi-angle analysis of quantitative data mining warning system is completed, by using software engineering method. The study on the core issue of early warning is conducted, during divided the learning process in VLE platforms into three stages: former learning, study of middle and after learning. The studying route of core issues is: under the mode of Windows Server Apache, MYS...