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Advances in Hydrologic Forecasts and Water Resources Management
The impacts of climate change on water resource management, as well as increasingly severe natural disasters over the last decades, have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resource management and the mitigation of natural disasters. While the notorious nonlinear hydrological processes make accurate forecasts a very challenging task, it requires advanced techniques to build accurate forecast models and reliable management systems. One of the newest techniques for modeling complex systems is artificial intelligence (AI). AI can replicate the way humans learn and has great capability to efficiently extract crucial information ...
Flood Forecasting Using Machine Learning Methods
Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of...
Advances in Hydrologic Forecasts and Water Resources Management
This book collected recent studies on the latest methodological and operational advances in hydrological forecasting. Specifically, the collection of papers covers a range of topics related to improving hydrological forecasting via new datasets and innovative approaches.
Artificial Intelligence Techniques in Hydrology and Water Resources Management
The sustainable management of water cycles is crucial in the context of climate change and global warming. It involves managing global, regional, and local water cycles, as well as urban, agricultural, and industrial water cycles, to conserve water resources and their relationships with energy, food, microclimates, biodiversity, ecosystem functioning, and anthropogenic activities. Hydrological modeling is indispensable for achieving this goal, as it is essential for water resources management and the mitigation of natural disasters. In recent decades, the application of artificial intelligence (AI) techniques in hydrology and water resources management has led to notable advances. In the fac...
Three Tigers and Purdue
In the fall of 1999, at the close of the 20th century, there were 3,726 international students on the West Lafayette campus of Purdue University. They came from 127 countries. Three of the largest groups came from Taiwan, South Korea, and Hong Kong, continuing a tradition that has stertched throughout the century. The stories behind Purdue's long-term relationship with Taiwan, Korea, and Hong-Kong have never been told before. Three Tigers and Purdue describes that history, as told in the stories of the people who lived it.
Bio-Inspired Strategies for Modeling and Detection in Diabetes Mellitus Treatment
Bio-Inspired Strategies for Modeling and Detection in Diabetes Mellitus Treatment focuses on bio-inspired techniques such as modelling to generate control algorithms for the treatment of diabetes mellitus. The book addresses the identification of diabetes mellitus using a high-order recurrent neural network trained by the extended Kalman filter. The authors also describe the use of metaheuristic algorithms for the parametric identification of compartmental models of diabetes mellitus widely used in research works such as the Sorensen model and the Dallaman model. In addition, the book addresses the modelling of time series for the prediction of risk scenarios such as hyperglycaemia and hypog...
Urban Agriculture and City Sustainability II
As urban populations continue to increase it is essential to consider ways of reducing their impact in terms of the use of natural resources, waste production and climate change. The increasing number of people in cities requires new strategies to supply the necessary food with limited provision of land and decreasing resources. This will become more challenging unless innovative solutions for growing and distributing food in urban environments are considered. The scale of modern food production has created and exacerbated many vulnerabilities and the feeding of cities is now infinitely more complex. As such, the food system cannot be considered secure, ethical or sustainable. In the last fe...
Neural Information Processing
The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006. The 386 revised full papers presented were carefully reviewed and selected from 1175 submissions.
Principles Of Solar Cells: Connecting Perspectives On Device, System, Reliability, And Data Science
How does a solar cell work? How efficient can it be? Why do intricate patterns of metal lines decorate the surface of a solar module? How are the modules arranged in a solar farm? How can sunlight be stored during the day so that it can be used at night? And, how can a lifetime of more than 25 years be ensured in solar modules, despite the exposure to extreme patterns of weather? How do emerging machine-learning techniques assess the health of a solar farm? This practical book will answer all these questions and much more.Written in a conversational style and with over one-hundred homework problems, this book offers an end-to-end perspective, connecting the multi-disciplinary and multi-scale...
Circular Economy and the Energy Market
Energy policies play a pivotal part in helping countries achieve their sustainable development goals. Further, energy is one of the critical raw materials in companies’ production processes. Therefore, ensuring a steady energy supply is essential to increasing production; otherwise, countries will inevitably slide into recession. In this context, countries should select their energy policies on the basis of a comprehensive analysis. In order to achieve this goal, many different factors must be considered at the same time. The aim of this book is to determine the right energy policies for the sustainable economic development of countries. In this framework, effective strategies for different types of energy will be presented and vital issues such as determining the right locations for nuclear power plants, providing optimal government incentives to increase clean energy investments, and determining appropriate energy policies to reduce energy dependence will be examined. Thus, country-specific optimal energy policies will be outlined, contributing to the achievement of the UN’s sustainable development goals (SDG).
