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Advances in spatial, spectral, and temporal resolution over the past several years have greatly expanded opportunities for practical applications of remote sensing data. To explore the implications of these possibilities, the NRC held a series of three workshops on different facets of remote sensing applications. This report is on the third of those workshops: the development and use of remote sensing data and information by state, local, and regional governments. The steering committee was asked to examine the opportunities, potential challenges, and policy issues associated with the application of remote sensing data in the public sector including approaches and procedures for government agencies to use such data and barriers to development and use of the applications. The resulting report is addressed primarily to non-technical managers and decisions makers at all levels of government below the federal level.
The term "data" being mostly used, experimented, analyzed, and researched, "Data Science and its Applications" finds relevance in all domains of research studies including science, engineering, technology, management, mathematics, and many more in wide range of applications such as sentiment analysis, social medial analytics, signal processing, gene analysis, market analysis, healthcare, bioinformatics etc. The book on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations research, computer programming, machine learning, data visualization, pattern recognition and others. The book also highlights data science implementation and evaluation of performance in several emerging applications such as information retrieval, cognitive science, healthcare, and computer vision. The data analysis covers the role of data science depicting different types of data such as text, image, biomedical signal etc. useful for a wide range of real time applications. The salient features of the book are: Overview, Challenges and Opportunities in Data Science and Real Time Applications Addressing Big Data Issues Useful Machine Learning Methods Disease Detection and Healthcare Applications utilizing Data Science Concepts and Deep Learning Applications in Stock Market, Education, Behavior Analysis, Image Captioning, Gene Analysis and Scene Text Analysis Data Optimization Due to multidisciplinary applications of data science concepts, the book is intended for wide range of readers that include Data Scientists, Big Data Analysists, Research Scholars engaged in Data Science and Machine Learning applications.
Decision to produce; Markets and uses; Market assessment; Prodution potential; Equipment selection; Financial requirements; Decision and planning workssheets; Basic ethanol production; Preparation of feedstocks, Fermentation; Distillation; Types of feedstocks; Coproduct yields; Agronomic considerations; Plant design; Overall plant considerations; Process control; Representative ethanol plant; Maintenance checklist; Business plan; Analysis of financial requirements; Organizational form; Financing; Case study; Summary of legislation; Bureau of alcohol, tabacco, and firearms permit information; Enviromental considerations.
This book on the psychology of white collar criminals discusses various cases of financial crime, while also attempting to delve into the minds of the criminals in question. The literature on this topic is growing as it gains momentum in the scientific field, as a result of the extremely negative impact white collar crime has on its victims. Because there is considerable damage and vulnerability from these crimes, it is important to begin to classify them, and to understand the minds of those that commit these offenses. While the current literature is not extensive, this work provides a closer look into the various ethical and legal facets of financial crime, and helps to uncover the social, psychological and neurobiological factors that intersect in the minds of those criminals.