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Titlebook: Rhythmic Advantages in Big Data and Machine Learning; Anirban Bandyopadhyay,Kanad Ray Book 2022 The Editor(s) (if applicable) and The Auth

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樓主
發(fā)表于 2025-3-21 18:52:57 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Rhythmic Advantages in Big Data and Machine Learning
編輯Anirban Bandyopadhyay,Kanad Ray
視頻videohttp://file.papertrans.cn/831/830149/830149.mp4
概述Discusses various aspects of biophysics.Covers eight different aspects of natural intelligence.Serves as a reference resource for researchers and practitioners in academia and industry
叢書名稱Studies in Rhythm Engineering
圖書封面Titlebook: Rhythmic Advantages in Big Data and Machine Learning;  Anirban Bandyopadhyay,Kanad Ray Book 2022 The Editor(s) (if applicable) and The Auth
描述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.
出版日期Book 2022
關鍵詞Protein; Quantum Biology; Biophysics; Resonance; Synchrony; Natural Intelligence; Artificial Intelligence;
版次1
doihttps://doi.org/10.1007/978-981-16-5723-8
isbn_softcover978-981-16-5725-2
isbn_ebook978-981-16-5723-8Series ISSN 2524-5546 Series E-ISSN 2524-5554
issn_series 2524-5546
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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沙發(fā)
發(fā)表于 2025-3-21 21:01:49 | 只看該作者
Book 2022mple 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.
板凳
發(fā)表于 2025-3-22 02:20:49 | 只看該作者
地板
發(fā)表于 2025-3-22 04:41:57 | 只看該作者
Data: Periodicity and Ways to Unlock Its Full Potential,act features of data, and generate insights are some of the vital points which need special attention. What is big data? Where it’s used? How can we exploit data to make intelligent decisions? This chapter attempts to present an overview of the current and emerging methods of data analysis to grasp
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發(fā)表于 2025-3-22 11:22:58 | 只看該作者
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發(fā)表于 2025-3-22 15:35:22 | 只看該作者
Ergontropic Dynamics: Contribution for an Extended Particle Dynamics,xplanation of a range of physical problems, integrating in a new framework the universal tendency of energy to a minimum and entropy to a maximum. The outcome is a modification of Newton’s dynamical equation of motion, grounding the principles of mechanics on the concepts of energy and entropy, inst
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Hypercomputation of the Brain by Superluminal Particles,brain-like computer that would be more powerful than Turing machines, would allow non-Turing computation, and that may hold the key to the origin of human consciousness itself. According to the brain model proposed, it has been shown that microtubules in the biological brain have the possibility to
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發(fā)表于 2025-3-23 05:16:08 | 只看該作者
,Replicating a Learning Brain’s Cortex in a Humanoid Bot: Pyramidal Neurons Govern Geometry of Hexag of capillary glass tubes and placing artificial cortex on a humanoid bot built by us. Initially, we theoretically constructed the neurons using dielectric material to emulate the biological cortex. Using those neurons, we constructed nineteen cortical columns, each made of twenty-six distinct neuro
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發(fā)表于 2025-3-23 08:56:36 | 只看該作者
How the Biofield is Created by DNA Resonance,hat the biofield is created by the mass of DNA in the organism remains a hypothesis. We will first briefly summarize the existing evidence and then briefly review our studies, in which we used computational genomics to reveal the traces of resonance signaling in the genome and provided statistical e
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