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ENTROPY CONSULTANTS

ALLSTON-USA

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ENTROPY CONSULTANTS
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Company Address: 7 Hardwick St.,ALLSTON,MA,USA 
ZIP Code:
Postal Code:
2134 
Telephone Number: 6175625783 (+1-617-562-5783) 
Fax Number: 6177894965 (+1-617-789-4965) 
Website:
entropyconsultants. com 
Email:
 
USA SIC Code(Standard Industrial Classification Code):
871111 
USA SIC Description:
Engineers 
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Company News:
  • Entropy | Open Access Journal | MDPI
    Entropy Entropy is an international and interdisciplinary peer-reviewed open access journal of entropy and information studies, published monthly online by MDPI
  • Entropy - MDPI
    The concept of entropy constitutes, together with energy, a cornerstone of contemporary physics and related areas It was originally introduced by Clausius in 1865 along abstract lines focusing on thermodynamical irreversibility of macroscopic physical processes
  • Entropy | Aims Scope - MDPI
    Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes
  • Entropy: From Thermodynamics to Information Processing - MDPI
    Entropy is most commonly defined as “disorder”, although it is not a good analogy since “order” is a subjective human concept, and “disorder” cannot always be obtained from entropy
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    Interests: theoretical and mathematical physics—fundamental aspects of quantum mechanics, quantum theories for information, statistical thermodynamics of complex systems and science of reliability; entropy and complex system; quantum physics
  • Entropy | Special Issues - MDPI
    Entropy publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions
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    Entropy appears in many contexts (thermodynamics, statistical mechanics, information theory, measure-preserving dynamical systems, topological dynamics, etc ) as a measure of different properties (energy that cannot produce work, disorder, uncertainty, randomness, complexity, etc )
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    Approximate Entropy and Sample Entropy are two algorithms for determining the regularity of series of data based on the existence of patterns Despite their similarities, the theoretical ideas behind those techniques are different but usually ignored
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    Based on Shannon entropy, many researchers have been devoted to enhancing the performance of Shannon entropy for more accurate complexity estimation, such as differential entropy, spectral entropy, tone-entropy, wavelet entropy, empirical mode decomposition energy entropy, and Δ − entropy




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