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Automatic Classification of Spectra from the Infrared Astronomical Satellite (IRAS)
"The document is intended to be an interim reference document for astronomers who are studying infrared sources"...Intro.
Classification Made Simple
This established textbook introduces the essentials of classification as used for information processing. The third edition takes account of developments that have taken place since the second edition was published in 2002. Classification Made Simple provides a useful gateway to more advanced works and the study of specific schemes. As an introductory text, it will be invaluable to students of information work and to anyone inside or outside the information profession who needs to understand the manner in which classification can be utilized to facilitate and enhance organisation and retrieval.
Machine Learning and Deep Learning in Real-Time Applications
Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their abili...
Automatic Modulation Classification
Automatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades. In military and security applications, modulation often serves as another level of encryption; in modern civilian applications, multiple modulation types can be employed by a signal transmitter to control the data rate and link reliability. This book offers comprehensive documentation of AMC models, algorithms and implementations for successful modulation recognition. It provides an invaluable theoretical and numerical comparison of AMC algorithms, as well as guidance on state-of-the-art classification designs with specific military and civi...
