Results 61 to 70 of about 278 (215)
Dynamic searchable symmetric encryption
, 2015 The subject of this thesis is "Dynamic Searchable Symmetric Encryption" (DSSE). DSSE is one of the solutions that can be used for implementations of searchable encryption schemes. Searchable encryption allows a client to outsource the storage of its encrypted data to a server, while maintaining the ability to search over the data without downloading it.
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Enabling Stochastic Dynamic Games for Robotic Swarms
Advanced Intelligent Systems, EarlyView.This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Dynamic Searchable Symmetric Encryption with Physical Deletion and Small Leakage
, 2017 Dynamic Searchable Symmetric Encryption (DSSE) allows a client not only to search over ciphertexts as the traditional searchable symmetric encryption does, but also to update these ciphertexts according to requirements, e.g., adding or deleting some ciphertexts. It has been recognized as a fundamental and promising method to build secure cloud storage.
Xu, Peng +5 more
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Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT Real‐time online detection of rare earth element component contents is a crucial link in ensuring the stable production of the rare earth extraction and separation industry and improving the quality of rare earth products. The traditional methods for predicting the content of rare earth element components based on just‐in‐time learning fail to
Zhaohui Huang +6 more
wiley +1 more source
Universal Entanglement and an Information‐Complete Quantum Theory
Advanced Physics Research, EarlyView.This Perspective summarize an informationcomplete quantum theory which describes a fully quantum world without any classical systems and concepts. Here spacetime/gravity, having to be a physical quantum system, universally entangles matter (matter fermions and their gauge fields) as an indivisible trinity, and encodes information‐complete physical ...
Zeng‐Bing Chen
wiley +1 more source
The Anatomical Record, EarlyView.This review redefines the carotid bulb (CB) as a variable geometric dilation shaped by hemodynamics and the carotid sinus (CS) as a conserved neurohistological baroreceptor field. Distinguishing these entities clarifies a century of anatomical confusion and links geometry, neurohistology, and clinical interpretation within a unified framework ...
Răzvan Costin Tudose +2 more
wiley +1 more source
British Educational Research Journal, EarlyView.Abstract This article examines how UK and US universities manage racial equality regimes through governance structures that prioritise institutional reputation over substantive racial justice reform. Drawing on Bourdieu's field, habitus and capital theory, the study demonstrates how universities neutralise racial justice efforts through bureaucratic ...
David Roberts
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Nested Selves: Self‐Organization and Shared Markov Blankets in Prenatal Development in Humans
Topics in Cognitive Science, EarlyView., 2023 Abstract The immune system is a central component of organismic function in humans. This paper addresses self‐organization of biological systems in relation to—and nested within—other biological systems in pregnancy. Pregnancy constitutes a fundamental state for human embodiment and a key step in the evolution and conservation of our species. While not
Anna Ciaunica +3 more
wiley +1 more source
Computational and Machine‐Learning Studies of Ethylene Oligomerization
Carbon and Hydrogen, EarlyView.This review focuses on recent advances in computational and machine‐learning studies of ethylene oligomerization, highlighting mainstream catalyst systems based on Co, Ta, Ti, Zr, and Hf, with particular emphasis on Fe‐ and Cr‐based catalysts and their controlling factors governing reactivity and LAO distribution.
Zhixin Qin +3 more
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