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Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
Assessment and analysis of accents in air traffic control speech: a fusion of deep learning and information theory. [PDF]
Front NeurorobotPan W, Zhang J, Zhang Y, Jiang P, Han S.
europepmc +1 more source
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2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT), 2021
Course Description: This course covers information theory as it relates to networked communication systems. The course will broadly be broken into three parts: (1) Study of single-hop networks, such as the multiple-access channel, broadcast channel ...
Leeanne Sagona
semanticscholar +1 more source
Course Description: This course covers information theory as it relates to networked communication systems. The course will broadly be broken into three parts: (1) Study of single-hop networks, such as the multiple-access channel, broadcast channel ...
Leeanne Sagona
semanticscholar +1 more source
Elements of Information Theory
, 2005Preface to the Second Edition. Preface to the First Edition. Acknowledgments for the Second Edition. Acknowledgments for the First Edition. 1. Introduction and Preview. 1.1 Preview of the Book. 2. Entropy, Relative Entropy, and Mutual Information.
T. Cover, Joy A. Thomas
semanticscholar +1 more source
Information Theory and Statistical Mechanics
, 1957Treatment of the predictive aspect of statistical mechanics as a form of statistical inference is extended to the density-matrix formalism and applied to a discussion of the relation between irreversibility and information loss.
E. Jaynes
semanticscholar +1 more source
Information Theory and Reliable Communication
, 1968Communication Systems and Information Theory. A Measure of Information. Coding for Discrete Sources. Discrete Memoryless Channels and Capacity. The Noisy-Channel Coding Theorem. Techniques for Coding and Decoding.
R. Gallager
semanticscholar +1 more source
, 2001
A system with many senders and receivers contains many new elements in the communication problem: interference, cooperation and feedback. These are the issues that are the domain of network information theory. The general problem is easy to state.
T. Cover, Joy A. Thomas
semanticscholar +1 more source
A system with many senders and receivers contains many new elements in the communication problem: interference, cooperation and feedback. These are the issues that are the domain of network information theory. The general problem is easy to state.
T. Cover, Joy A. Thomas
semanticscholar +1 more source
ALGORITHMIC INFORMATION THEORY
IBM Journal of Research and Development, 1977Chaitin, the inventor of algorithmic information theory, presents in this book the strongest possible version of Gödel's incompleteness theorem, using an information theoretic approach based on the size of computer programs. One half of the book is concerned with studying the halting probability of a universal computer if its program is chosen by ...
openaire +3 more sources
A mini-introduction to information theory
La Rivista del Nuovo Cimento, 2018This article consists of a very short introduction to classical and quantum information theory. Basic properties of the classical Shannon entropy and the quantum von Neumann entropy are described, along with related concepts such as classical and quantum
E. Witten
semanticscholar +1 more source