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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...
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...
With rapid advancements in AI, this book reveals how AI can be a powerful tool in reducing pollution and fostering sustainability. It highlights the integration of geospatial techniques with AI for enhancing capabilities in mapping, analysis, and mitigation of environmental pollution. Starting with foundational concepts in AI, geospatial technology, and pollution, the book addresses air, water, soil and thermal pollution, emphasizing their harmful impacts. Through real-world case studies and advanced research, it showcases AI and geospatial technology's revolutionary role in pollution mitigation, exploring AI-driven sensors, satellite imagery, and associated networks for precise and efficient pollution monitoring and management.
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).
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...
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.
Proceedings of the FRIEND-Water conference held in Montpellier in October 2014.