Computation Of Artificial Intelligence And Machine Learning
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Computational Artificial Intelligence And Methods For Industries
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Author : Vijayarangan Natarajan
language : en
Publisher: Springer Nature
Release Date : 2025-07-04
Computational Artificial Intelligence And Methods For Industries written by Vijayarangan Natarajan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Computers categories.
This book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content. Questions and related keywords were prepared for the machine to query, discover, collate and structure by Artificial Intelligence (AI) clustering. The AI-based approach seemed especially suitable to provide an innovative perspective as the topics are indeed both complex, interdisciplinary and multidisciplinary, for example, climate, planetary and evolution sciences. Springer Nature has published much on these topics in its journals over the years, so the challenge was for the machine to identify the most relevant content and present it in a structured way that the reader would find useful. The automatically generated literature summaries in this book are intended as a springboard to further discoverability. They are particularly useful to readers with limited time, looking to learn more about the subject quickly and especially if they are new to the topics. Springer Nature seeks to support anyone who needs a fast and effective start in their content discovery journey, from the undergraduate student exploring interdisciplinary content to Master- or PhD-thesis developing research questions, to the practitioner seeking support materials, this book can serve as an inspiration, to name a few examples. It is important to us as a publisher to make the advances in technology easily accessible to our authors and find new ways of AI-based author services that allow human-machine interaction to generate readable, usable, collated, research content.
Applications Of Computational Intelligence In Data Driven Trading
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Author : Cris Doloc
language : en
Publisher: John Wiley & Sons
Release Date : 2019-10-31
Applications Of Computational Intelligence In Data Driven Trading written by Cris Doloc and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-31 with Business & Economics categories.
“Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence.” – Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the formidable challenges that the era of Data-Driven Decision-Making and Machine Learning are confronted with, and especially about how these new developments may influence the future of the financial industry. The subject of Financial Machine Learning has attracted a lot of interest recently, specifically because it represents one of the most challenging problem spaces for the applicability of Machine Learning. The author has used a novel approach to introduce the reader to this topic: The first half of the book is a readable and coherent introduction to two modern topics that are not generally considered together: the data-driven paradigm and Computational Intelligence. The second half of the book illustrates a set of Case Studies that are contemporarily relevant to quantitative trading practitioners who are dealing with problems such as trade execution optimization, price dynamics forecast, portfolio management, market making, derivatives valuation, risk, and compliance. The main purpose of this book is pedagogical in nature, and it is specifically aimed at defining an adequate level of engineering and scientific clarity when it comes to the usage of the term “Artificial Intelligence,” especially as it relates to the financial industry. The message conveyed by this book is one of confidence in the possibilities offered by this new era of Data-Intensive Computation. This message is not grounded on the current hype surrounding the latest technologies, but on a deep analysis of their effectiveness and also on the author’s two decades of professional experience as a technologist, quant and academic.
Computational Intelligence In Sustainable Computing And Optimization
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Author : Balamurugan Balusamy
language : en
Publisher: Elsevier
Release Date : 2024-10-08
Computational Intelligence In Sustainable Computing And Optimization written by Balamurugan Balusamy and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Computers categories.
Computational Intelligence in Sustainable Computing and Optimization: Trends and Applications focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in applications, such as agriculture, biomedical systems, bioinformatics, business intelligence, economics, disaster management, e-learning, education management, financial management, and environmental policies. The book presents research in sustainable computing and optimization, combining methods from engineering, mathematics, artificial intelligence, and computer science to optimize environmental resourcesComputational intelligence in the field of sustainable computing combines computer science and engineering in applications ranging from Internet of Things (IoT), information security systems, smart storage, cloud computing, intelligent transport management, cognitive and bio-inspired computing, and management science. In addition, data intelligence techniques play a critical role in sustainable computing. Recent advances in data management, data modeling, data analysis, and artificial intelligence are finding applications in energy networks and thus making our environment more sustainable. - Presents computational, intelligence–based data analysis for sustainable computing applications such as pattern recognition, biomedical imaging, sustainable cities, sustainable transport, sustainable agriculture, and sustainable financial management - Develops research in sustainable computing and optimization, combining methods from engineering, mathematics, and computer science to optimize environmental resources - Includes three foundational chapters dedicated to providing an overview of computational intelligence and optimization techniques and their applications for sustainable computing
Computed Tomography E Book
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Author : Euclid Seeram
language : en
Publisher: Elsevier Health Sciences
Release Date : 2022-06-16
Computed Tomography E Book written by Euclid Seeram and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-16 with Medical categories.
Build the foundation necessary for the practice of CT scanning with Computed Tomography: Physical Principles, Patient Care, Clinical Applications, and Quality Control, 5th Edition. Written to meet the varied requirements of radiography students and practitioners, this two-color text provides comprehensive coverage of the physical principles of computed tomography and its clinical applications. The clear, straightforward approach is designed to improve your understanding of sectional anatomic images as they relate to computed tomography and facilitate communication between CT technologists and other medical personnel. - Chapter outlines and chapter review questions help you focus your study time and master content. - NEW! Three additional chapters reflect the latest industry CT standards in imaging: Radiation Awareness and Safety Campaigns in Computed Tomography, Patient Care Considerations, and Artificial Intelligence: An Overview of Applications in Health and Medical Imaging. - UPDATED! More than 509 photos and line drawings visually clarify key concepts. - UPDATED! The latest information keeps you up to date on advances in volume CT scanning; CT fluoroscopy; and multislice applications like 3-D imaging, CT angiography, and virtual reality imaging (endoscopy).
Advances In Neural Computation Machine Learning And Cognitive Research
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Author : Boris Kryzhanovsky
language : en
Publisher: Springer
Release Date : 2017-08-28
Advances In Neural Computation Machine Learning And Cognitive Research written by Boris Kryzhanovsky and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-28 with Technology & Engineering categories.
This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.
Computation Of Language
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Author : Roland Hausser
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Computation Of Language written by Roland Hausser and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
The study of linguistics has been forever changed by the advent of the computer. Not only does the machine permit the processing of enormous quantities of text thereby securing a better empirical foundation for conclusions-but also, since it is a modelling device, the machine allows the implementation of theories of grammar and other kinds of language processing. Models can have very unexpected properties both good and bad-and it is only through extensive tests that the value of a model can be properly assessed. The computer revolution has been going on for many years, and its importance for linguistics was recognized early on, but the more recent spread of personal workstations has made it a reality that can no longer be ignored by anyone in the subject. The present essay, in particular, could never have been written without the aid of the computer. I know personally from conversations and consultations with the author over many months how the book has changed. If he did not have at his command a powerful typesetting program, he would not have been able to see how his writing looked and exactly how it had to be revised and amplified. Even more significant for the evolution of the linguistic theory is the easy testing of examples made possible by the implementation of the parser and the computer-held lexicon. Indeed, the rule set and lexicon grew substantially after the successes of the early implementations created the desire to incorporate more linguistic phenomena.
Computational Intelligence
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Author : Anupam Shukla
language : en
Publisher: Springer Nature
Release Date : 2023-02-15
Computational Intelligence written by Anupam Shukla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-15 with Technology & Engineering categories.
The book constitutes the peer-reviewed proceedings of the 2nd International Conference on Information Technology (InCITe-2022): The Next Generation Technology Summit. The theme of the conference is Computational Intelligence: Automate your World. The volume is a conglomeration of research papers covering interdisciplinary research and in-depth applications of computational intelligence, deep learning, machine learning, artificial intelligence, data science, enabling technologies for IoT, blockchain, and other futuristic computational technologies. The volume covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision making, and modeling, information systems, and IT architectures. The book will be useful to researchers, practitioners, and policymakers working in information technology.
Advances In Neural Computation Machine Learning And Cognitive Research Iii
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Author : Boris Kryzhanovsky
language : en
Publisher: Springer Nature
Release Date : 2019-09-03
Advances In Neural Computation Machine Learning And Cognitive Research Iii written by Boris Kryzhanovsky and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-03 with Technology & Engineering categories.
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXI International Conference on Neuroinformatics, held on October 7-11, 2019, in Dolgoprudny, a town in Moscow region, Russia.
Advances In Neural Computation Machine Learning And Cognitive Research Ii
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Author : Boris Kryzhanovsky
language : en
Publisher: Springer
Release Date : 2018-10-06
Advances In Neural Computation Machine Learning And Cognitive Research Ii written by Boris Kryzhanovsky and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-06 with Computers categories.
This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XX International Conference on Neuroinformatics, held in Moscow, Russia on October 8–12, 2018.
Advances In Neural Computation Machine Learning And Cognitive Research V
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Author : Boris Kryzhanovsky
language : en
Publisher: Springer Nature
Release Date : 2021-11-22
Advances In Neural Computation Machine Learning And Cognitive Research V written by Boris Kryzhanovsky and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-22 with Technology & Engineering categories.
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia.