Listing 1 - 10 of 11 | << page >> |
Sort by
|
Choose an application
Choose an application
Choose an application
Choose an application
"Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development."--
Renewable energy sources. --- Artificial intelligence --- Engineering --- Alternate energy sources --- Alternative energy sources --- Energy sources, Renewable --- Sustainable energy sources --- Power resources --- Renewable natural resources --- Agriculture and energy --- Engineering applications. --- Data processing --- Renewable energy sources --- Data processing.
Choose an application
Choose an application
The book explains the important concepts and principles of image processing to implement the algorithms and techniques to discover new problems and applications. It contains numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. It presents essential background theory, shape methods, texture about new methods, and techniques for image processing and pattern recognition. It maintains a good balance between a mathematical background and practical implementation. This book also contains the comparison table and images that are used to show the results of enhanced techniques. This book consists of novel concepts and hybrid methods for providing effective solutions for society. It also includes a detailed explanation of algorithms in various programming languages like MATLAB, Python, etc. The security features of image processing like image watermarking and image encryption etc. are also discussed in this book. This book will be useful for those who are working in the field of image processing, pattern recognition, and security for digital images. This book targets researchers, academicians, industry, and professionals from R&D organizations, and students, healthcare professionals working in the field of medical imaging, telemedicine, cybersecurity, data scientist, artificial intelligence, image processing, digital hospital, intelligent medicine.
Choose an application
Wealth is the accumulation of past and present income, assets, debts, and disparities. Differences in Black and white Americans' economic status show how the harms of the past - slavery, segregation, redlining, discrimination - live on in the present. The result is that white Americans make 73 percent more in annual income, are nearly two times more likely to own their homes, hold ten times more wealth, and are 28 times more likely to become millionaires than Black Americans. Under current conditions and without intervention, it is unclear if and how the racial wealth gap could ever close over a meaningful time horizon. Recognizing the strength and persistence of the United States' racial wealth gap, Americans have called for historic policy interventions to address long-standing inequities and current wealth disparities. Proposed actions often include large wealth allocations, in the form of one-time government payments, to Black households. This potential policy device raises several questions about the efficacy of disparity-reducing wealth allocations. This report, part of a discussion paper series investigating the U.S. racial wealth gap, provides insight into these questions based on the authors' quantitative analysis of current wealth distributions, a measure of racial wealth disparity, and a model of disparity-reducing wealth allocations. The authors use data from the Survey of Consumer Finances, a survey conducted by the Federal Reserve Board, to investigate the sources of wealth disparity, estimate the potential first-order impacts of government allocations, and shed light on the possible trade-offs of one-time allocations.
Choose an application
Choose an application
Choose an application
Listing 1 - 10 of 11 | << page >> |
Sort by
|