Flood is one of the most important natural disasters affect China greatly, especially for southeast cities. To help mitigate the loss brought by it, technologies such as simulation, visualization, decision support system, etc. could be utilized in the process of emergency management for city flood. Thus the Flood Simulation and Decision Support System (FSDSS) comes into being. It is an integrat...

Flood is one of the most important natural disasters affect China greatly, especially for southeast cities. To help mitigate the loss brought by it, technologies such as simulation, visualization, decision support system, etc. could be utilized in the process of emergency management for city flood. Thus the Flood Simulation and Decision Support System (FSDSS) comes into being. It is an integrat...

Information is provided about the approach and experience in flood management in the Damodar river basin of India. This is achieved through a scheme for the integrated operation of a number of reservoirs on that river and on its tributaries for the purpose of irrigation, hydropower generation and flood protection. Of particular interest is the recent change in policy towards a multi-disciplinar...

The need effectively to integrate decision making tasks together with knowledge representation and inference procedures has caused recent research efforts towards the integration of decision support systems with knowledge-based techniques. Explores the potential benefits of such integration in the area of business forecasting. Describes the forecasting process and identifies its main functional...

Intelligent time-series forecasting is important in several applied domains. Artificially intelligent methods for forecasting are being consistently sought. The effect of noise on time-series prediction is important to quantify for accurate forecasting with these systems. Conventionally, noise is considered obstructive to accurate forecasting. In this paper we analyse the noise impact on time-s...

Flood disasters are a natural occurrence around the world, resulting in numerous casualties. It is vital to develop an accurate flood forecasting and prediction model order curb damages limit number of victims. Water resource allocation, management, planning, warning forecasting, damage mitigation all benefit from rain forecasting. Prior recent decades’ worth research, this domain demonstrated ...

Delft FEWS is a proven real time software infrastructure for operational water management and forecasting, having been applied in several operational forecasting centres all over the world. The system has contributed to changing the paradigm of flood forecasting systems from a model centric approach to a data centric approach. The system is a time series oriented ETL-infrastructure (Extract, Tr...

In this article we have considered a problem of psychotherapy efficiency of. We offer a method of assessing and forecasting efficiency of therapeutic influence. The principle of creating intelligence diagnostic forecasting system is described.