國立虎尾科技大學 |

Rhythmic Advantages in Big Data and Machine Learning

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Rhythmic Advantages in Big Data and Machine Learning / edited by Anirban Bandyopadhyay, Kanad Ray.
other author:	Bandyopadhyay, Anirban.
Description:	XI, 262 p. 79 illus., 46 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-16-5723-8
ISBN:	9789811657238

Rhythmic Advantages in Big Data and Machine Learning
Rhythmic Advantages in Big Data and Machine Learning [electronic resource] /edited by Anirban Bandyopadhyay, Kanad Ray. - 1st ed. 2022. - XI, 262 p. 79 illus., 46 illus. in color.online resource. - 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

Standard No.: 10.1007/978-981-16-5723-8doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Rhythmic Advantages in Big Data and Machine Learning
LDR:02565nam a22004095i 4500 001 1092459
003 DE-He213
005 20220428215708.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811657238 $9 978-981-16-5723-8
024 7 $a 10.1007/978-981-16-5723-8 $2 doi
035 $a 978-981-16-5723-8
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Rhythmic Advantages in Big Data and Machine Learning $h [electronic resource] / $c edited by Anirban Bandyopadhyay, Kanad Ray.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a XI, 262 p. 79 illus., 46 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Rhythm Engineering, $x 2524-5554
505 0 $a 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.
520 $a 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.
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Biophysics. $3 581576
650 0 $a Machine learning. $3 561253
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Machine Learning. $3 1137723
700 1 $a Bandyopadhyay, Anirban. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1202374
700 1 $a Ray, Kanad. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1202373
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811657221
776 0 8 $i Printed edition: $z 9789811657245
776 0 8 $i Printed edition: $z 9789811657252
830 0 $a Studies in Rhythm Engineering, $x 2524-5554 $3 1350238
856 4 0 $u https://doi.org/10.1007/978-981-16-5723-8
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)