Results 21 to 30 of about 940,318 (334)
INFORMATION STORAGE IN BLACK HOLES [PDF]
International Journal of Modern Physics D, 2005 The information loss paradox for Schwarzschild black holes is examined, using the ADS/CFT correspondence extended to the M6(4, 2) bulk. It is found that the only option compatible with the preservation of the quantum unitarity is when a regular remnant region of the black hole survives to the black hole evaporation process, where information can be ...
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Inform: Efficient Information-Theoretic Analysis of Collective Behaviors
Frontiers in Robotics and AI, 2018 The study of collective behavior has traditionally relied on a variety of different methodological tools ranging from more theoretical methods such as population or game-theoretic models to empirical ones like Monte Carlo or multi-agent simulations.
Douglas G. Moore +3 more
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IET Wireless Sensor Systems, 2021 Software‐Defined Networking (SDN) brought a groundbreaking idea to facilitate network system management by decoupling and abstracting the Control plane and Data plane of traditional networks.
Hai Nam Nguyen +3 more
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Royal Society Open Science, 2023 Fifteen rhodamine B hydrazide hydrazone (RhBHH) derivatives (compounds a–o) with various substituent groups at different position and their photochromic property triggered by Cu2+ were studied to illustrate the structure photochromic response ...
Shuping Wang +9 more
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Applied Sciences, 2021 Ultra-high density data storage has gained high significance given the increasing amounts of data; many technologies have been proposed to achieve a high density. Among them, bit-pattern media recording (BPMR) is a promising technology.
Thien An Nguyen, Jaejin Lee
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Applied Trends in Magnetic Rare Earth/Transition Metal Alloys and Multilayers
Sensors, 2021 Ferrimagnetic thin films formerly played a very important role in the development of information storage technology. Now they are again at the forefront of the rising field of spintronics.
Juan Antonio González +2 more
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Brain Sciences, 2020 This study introduces a framework for the information-theoretic analysis of brain functional connectivity performed at the level of electroencephalogram (EEG) sources. The framework combines the use of common spatial patterns to select the EEG components
Ivan Kotiuchyi +4 more
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Digital economy: communication using neural networks in international communication
RUDN Journal of Economics, 2020 The article considers theoretical and practical issues of development and implementation, as well as potential development of technological solutions for voice communication of people speaking foreign languages using simultaneous machine translation, as ...
Maria A. Strenina
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The Value of Competing Energy Storage in Decarbonized Power Systems [PDF]
arXiv, 2023 As the world seeks to transition to a sustainable energy future, energy storage technologies are increasingly recognized as critical enablers. However, the macro-energy system assessment of energy storage has often focused on isolated storage technologies and neglected competition between them, thus leaving out which energy storage to prioritise.
arxiv
Moving Frames of Reference, Relativity and Invariance in Transfer Entropy and Information Dynamics
Entropy, 2013 We present a new interpretation of a local framework for informationdynamics, including the transfer entropy, by defining a moving frame of reference for theobserver of dynamics in lattice systems. This formulation is inspired by the idea ofinvestigating
Joseph T. Lizier, John R. Mahoney
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