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Titlebook: Let’s Calculate Bach; Applying Information Alan Shepherd Book 2021 Springer Nature Switzerland AG 2021 musicology.Bach.numerology.proportio

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发表于 2025-3-21 19:05:38 | 显示全部楼层 |阅读模式
书目名称Let’s Calculate Bach
副标题Applying Information
编辑Alan Shepherd
视频video
概述Applies information theory, mathematical, statistical and computational methods to explore numbers and proportions in music.Features detailed descriptions of the techniques and a computer program, equ
丛书名称Quantitative Methods in the Humanities and Social Sciences
图书封面Titlebook: Let’s Calculate Bach; Applying Information Alan Shepherd Book 2021 Springer Nature Switzerland AG 2021 musicology.Bach.numerology.proportio
描述.This book shows how information theory, probability, statistics, mathematics and personal computers can be applied to the exploration of numbers and proportions in music. It brings the methods of scientific and quantitative thinking to questions like: What are the ways of encoding a message in music and how can we be sure of the correct decoding? How do claims of names hidden in the notes of a score stand up to scientific analysis? How many ways are there of obtaining proportions and are they due to chance?.After thoroughly exploring the ways of encoding information in music, the ambiguities of numerical alphabets and the words to be found “hidden” in a score, the book presents a novel way of exploring the proportions in a composition with a purpose-built computer program and gives example results from the application of the techniques. These include information theory, combinatorics, probability, hypothesis testing, Monte Carlo simulation and Bayesian networks, presented in an easily understandable form including their development from ancient history through the life and times of J. S. Bach, making connections between science, philosophy, art, architecture, particle physics, cal
出版日期Book 2021
关键词musicology; Bach; numerology; proportions; information theory; statistics; computers; Bayes; coding; biases; s
版次1
doihttps://doi.org/10.1007/978-3-030-63769-9
isbn_softcover978-3-030-63771-2
isbn_ebook978-3-030-63769-9Series ISSN 2199-0956 Series E-ISSN 2199-0964
issn_series 2199-0956
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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发表于 2025-3-21 20:47:28 | 显示全部楼层
Alan Shepherdptimal (most dangerous) trajectory model of the target based on the given environment. This optimal trajectory can provide input information that is closer to reality, such as real time of arrival; probability of aircraft being shot down by SAM; angle of attack… for threat assessment methods (fuzzy
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Alan Shepherdption could be reached to measure players’ off-ball movement contribution to defensive performance. Moreover, this model could provide football analysts a better tool and metric to understand how players’ movement over time contributes to the game strategy and final victory.
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Alan Shepherd texture referrals that correspond to each face polygon; thus, our method produces superior results in terms of accuracy and visual quality, considering all the parameters of the model (shape, expression, reflectance, and lighting) as inputs. Our method is simple, easy to implement, and offers a rea
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Alan Shepherdurvey is developed and distributed among the participants to measure their ability to differentiate the original from the Deepfakes images. The results showed that the model-generated fake images cannot be distinguished from the authentic images and are relatively satisfying using the PyTorch framew
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Alan Shepherd IoT devices, using an open source dataset namely ‘MQTT dataset’. The findings demonstrate that the suggested approach is more accurate than traditional approaches based on machine learning; with an accuracy rate greater than 99% and an F1-score greater than 98%.
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