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Rhythmic advantages in big data and machine learning
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Rhythmic advantages in big data and machine learningedited by Anirban Bandyopadhyay, Kanad Ray.
其他作者:
Bandyopadhyay, Anirban.
出版者:
Singapore :Springer Singapore :2022.
面頁冊數:
xi, 262 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Biophysics.
電子資源:
https://doi.org/10.1007/978-981-16-5723-8
ISBN:
9789811657238$q(electronic bk.)
Rhythmic advantages in big data and machine learning
Rhythmic advantages in big data and machine learning
[electronic resource] /edited by Anirban Bandyopadhyay, Kanad Ray. - Singapore :Springer Singapore :2022. - xi, 262 p. :ill., digital ;24 cm. - Studies in rhythm engineering,2524-5554. - Studies in rhythm engineering..
Data: periodicity and ways to unlock it's full potential -- Modulating Neural Oscillations with Transcranial Focused Ultrasound -- Minimization of thermal conductivity in nanostructures and geometric self-similar structures for thermoelectric applications.
The book discusses various aspects of biophysics. It starts from the popular article on neurobiology to quantum biology and ends up with the consciousness of a human being and in the universe. The authors have covered eight nine different aspects of natural intelligence, starting from time crystal found in the chemical biology to the vibrations and the resonance of proteins. They have covered a wide spectrum of hierarchical communication among different biological systems. Most importantly, authors have taken an utmost care that even school-level students fall in love with biophysics; it is simple and more of a textbook and definitely bring the readers to a world of biology and physics like never before. Most authors are experienced academicians, and they have used lucid and simple language to make the content interesting for the readers.
ISBN: 9789811657238$q(electronic bk.)
Standard No.: 10.1007/978-981-16-5723-8doiSubjects--Topical Terms:
188608
Biophysics.
LC Class. No.: QH505 / .R49 2022
Dewey Class. No.: 571.4
Rhythmic advantages in big data and machine learning
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