Machine Learning has become a key to develop intelligent systems and analyze data in science and engineering. Machine learning engines enable systems such as Siri, Kinect or the Google self driving car, to name a few examples. At the same time machine learning methods help deciphering the information in our DNA and make sense of the flood of information gathered on the web. These notes provide ...

Machine Learning has become a key to develop intelligent systems and analyze data in science and engineering. Machine learning engines enable systems such as Siri, Kinect or the Google self driving car, to name a few examples. At the same time machine learning methods help deciphering the information in our DNA and make sense of the flood of information gathered on the web. These notes provide ...

Flood risk analysis is more complex in urban areas than that in rural areas because of their closely packed buildings, different kinds of land uses, and large number of flood control works and drainage systems. The purpose of this paper is to propose a practical framework for flood risk analysis and benefit assessment of flood control measures in urban areas. Based on the concept of disaster ri...

flooding, which is an overflow of water, brings massive biological and economic problems all around the world and disrupts many people’s lives. based on several effective factors in flood occurrence as well as unknown relationships between parameters, researchers have used various methods to forecast flood over the past decade. an investigation of the conducted studies on flood forecasting reve...

The operation of flood retarding areas does not attract much attention, although they are important components of flood control systems. Poor operation of such areas restricts not only the socio-economic development of the flood retarding area, but also limits scientific flood control options. As the second-largest flood retarding area in China, with more than 2000 km2 and 300 polders, the Hong...

s: Thematic Session Flood 1 THEMATIC SESSION B2: FLOOD Chairperson: Jayaseelam Chairman, Central Water Commission, New Delhi

[1] Annual maximum peak discharge time series from 572 stations with a record of at least 75 years in the eastern United States are used to examine flood peak distributions from a regional perspective. The central issues of this study are (1) “mixtures” of flood peak distributions, (2) upper tail properties of flood peaks, (3) scaling properties of flood peaks, (4) spatial heterogeneities of fl...

Early flood warning and real-time monitoring systems play a key role in flood risk reduction and disaster response decisions. Global-scale flood forecasting and satellite-based flood detection systems are currently operating, however their reliability for decision making applications needs to be assessed. In this study, we performed comparative evaluations of several operational global flood fo...

The biosurfactant production by Bacillus licheniformis W16 and evaluation of biosurfactant based enhanced oil recovery (EOR) using core-flood under reservoir conditions were investigated. Previously reported nine different production media were screened for biosurfactant production, and two were further optimized with different carbon sources (glucose, sucrose, starch, cane molasses, or date mo...