Rhythmic Advantages In Big Data And Machine Learning PDF Download
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| Author | : Anirban Bandyopadhyay |
| Publisher | : Springer Nature |
| Total Pages | : 270 |
| Release | : 2022-01-10 |
| Genre | : Technology & Engineering |
| ISBN | : 9811657238 |
Download Rhythmic Advantages in Big Data and Machine Learning Book in PDF, ePub and Kindle
The book discusses various aspects of biophysics. It starts from the popular article on neurobiology to quantum biology and ends up with the consciousness of a human being and in the universe. The authors have covered eight nine different aspects of natural intelligence, starting from time crystal found in the chemical biology to the vibrations and the resonance of proteins. They have covered a wide spectrum of hierarchical communication among different biological systems. Most importantly, authors have taken an utmost care that even school-level students fall in love with biophysics; it is simple and more of a textbook and definitely bring the readers to a world of biology and physics like never before. Most authors are experienced academicians, and they have used lucid and simple language to make the content interesting for the readers.
| Author | : Kohei Arai |
| Publisher | : Springer Nature |
| Total Pages | : 829 |
| Release | : 2022-10-13 |
| Genre | : Technology & Engineering |
| ISBN | : 3031183444 |
Download Proceedings of the Future Technologies Conference (FTC) 2022, Volume 3 Book in PDF, ePub and Kindle
The seventh Future Technologies Conference 2022 was organized in a hybrid mode. It received a total of 511 submissions from learned scholars, academicians, engineers, scientists and students across many countries. The papers included the wide arena of studies like Computing, Artificial Intelligence, Machine Vision, Ambient Intelligence and Security and their jaw- breaking application to the real world. After a double-blind peer review process 177 submissions have been selected to be included in these proceedings. One of the prominent contributions of this conference is the confluence of distinguished researchers who not only enthralled us by their priceless studies but also paved way for future area of research. The papers provide amicable solutions to many vexing problems across diverse fields. They also are a window to the future world which is completely governed by technology and its multiple applications. We hope that the readers find this volume interesting and inspiring and render their enthusiastic support towards it.
| Author | : Pushpa Singh |
| Publisher | : Springer Nature |
| Total Pages | : 357 |
| Release | : |
| Genre | : |
| ISBN | : 9819704480 |
Download Data Analytics and Machine Learning Book in PDF, ePub and Kindle
| Author | : Surya Kalidindi |
| Publisher | : |
| Total Pages | : |
| Release | : 2019 |
| Genre | : Artificial intelligence |
| ISBN | : 9789811204562 |
Download Handbook on Big Data and Machine Learning in the Physical Sciences Book in PDF, ePub and Kindle
"This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics. Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument - driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems"--
| Author | : Ahmed Moustafa |
| Publisher | : Academic Press |
| Total Pages | : 386 |
| Release | : 2021-06-11 |
| Genre | : Medical |
| ISBN | : 0128230029 |
Download Big Data in Psychiatry and Neurology Book in PDF, ePub and Kindle
Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer’s disease and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders Analyzes methods in using big data to treat psychiatric and neurological disorders Describes the role machine learning can play in the analysis of big data Demonstrates the various methods of gathering big data in medicine Reviews how to apply big data to genetics
| Author | : Nathalie Japkowicz |
| Publisher | : Springer |
| Total Pages | : 0 |
| Release | : 2015-12-28 |
| Genre | : Technology & Engineering |
| ISBN | : 9783319269870 |
Download Big Data Analysis: New Algorithms for a New Society Book in PDF, ePub and Kindle
This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.
| Author | : Paolo Dell’Aversana |
| Publisher | : Cambridge Scholars Publishing |
| Total Pages | : 226 |
| Release | : 2019-04-17 |
| Genre | : Computers |
| ISBN | : 1527533379 |
Download A Global Approach to Data Value Maximization Book in PDF, ePub and Kindle
This book presents a systematic discussion about methods and techniques used to extract the maximum informative value from complex data sets. A multitude of approaches and techniques can be applied for that purpose, including data fusion and model integration, multimodal data analysis in different physical domains, audio-video display of data through techniques of “sonification”, multimedia machine learning, and hybrid methods of data analysis. The book begins with the domain of geosciences, before moving on to other scientific areas, like diagnostic medicine and various engineering sectors. As such, it will appeal to a large audience, including geologists and geophysicists, data scientists, physicians and cognitive scientists, and experts in social sciences and knowledge management.
| Author | : Oyekanlu, Emmanuel |
| Publisher | : IGI Global |
| Total Pages | : 394 |
| Release | : 2023-04-03 |
| Genre | : Computers |
| ISBN | : 1799878546 |
Download Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications Book in PDF, ePub and Kindle
In the past decade, artificial intelligence (AI), data analytics, and multimedia technology methods for integrating cyber-physical systems (CPS), smart manufacturing, and Industry 4.0 applications in the manufacturing industries have been steadily growing in availability. However, for industrial leaders, finding applicable, cost effective, and readily implementable multimedia, AI, and data analytics methods for industrial applications remains a daunting, laborious, and very expensive endeavor since the ecosystem of these technologies keeps diverging. Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications provides a review of the state of the art regarding the integration of AI and multimedia technologies for smart manufacturing applications. It conducts a cost-benefit analysis regarding the benefits of the integration of specific AI and multimedia technologies in specific industrial manufacturing applications. Covering topics such as cognitive lead measurement, nonlinear filtering methods, and global product development, this premier reference source is a dynamic resource for business executives and managers, entrepreneurs, IT professionals, manufacturers, students and faculty of higher education, researchers, and academicians.
| Author | : Sunil Dutt Purohit |
| Publisher | : Springer Nature |
| Total Pages | : 669 |
| Release | : 2020-08-27 |
| Genre | : Technology & Engineering |
| ISBN | : 9811550778 |
Download Proceedings of International Conference on Communication and Computational Technologies Book in PDF, ePub and Kindle
This book offers a collection of high-quality peer-reviewed research papers presented at the Second International Conference on Communication and Computational Technologies (ICCCT 2019), held at Rajasthan Institute of Engineering and Technology, Jaipur, Rajasthan, India, on 30–31 August 2019. In contributions prepared by researchers from academia and industry alike, the book discusses a wide variety of industrial, engineering and scientific applications of emerging techniques.
| Author | : Poramate Manoonpong |
| Publisher | : Frontiers Media SA |
| Total Pages | : 278 |
| Release | : 2018-10-11 |
| Genre | : |
| ISBN | : 2889456056 |
Download Neural Computation in Embodied Closed-Loop Systems for the Generation of Complex Behavior: From Biology to Technology Book in PDF, ePub and Kindle
How can neural and morphological computations be effectively combined and realized in embodied closed-loop systems (e.g., robots) such that they can become more like living creatures in their level of performance? Understanding this will lead to new technologies and a variety of applications. To tackle this research question, here, we bring together experts from different fields (including Biology, Computational Neuroscience, Robotics, and Artificial Intelligence) to share their recent findings and ideas and to update our research community. This eBook collects 17 cutting edge research articles, covering neural and morphological computations as well as the transfer of results to real world applications, like prosthesis and orthosis control and neuromorphic hardware implementation.
