Results 81 to 90 of about 635,864 (319)

Process Resilience under Optimal Data Injection Attacks

open access: yesAIChE Journal, EarlyView.
Abstract In this article, we study the resilience of process systems in an information‐theoretic framework, from the perspective of an attacker capable of optimally constructing data injection attacks. The attack aims to distract the stationary distributions of process variables and stay stealthy, simultaneously.
Xiuzhen Ye, Wentao Tang
wiley   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

open access: yesAdvanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Algebraic Properties of Arbitrage: An Application to Additivity of Discount Functions

open access: yesMathematics, 2019
Background: This paper aims to characterize the absence of arbitrage in the context of the Arbitrage Theory proposed by Kreps (1981) and Clark (2000) which involves a certain number of well-known financial markets.
Salvador Cruz Rambaud
doaj   +1 more source

Graph Attention Neural Networks for Interpretable and Generalizable Prediction of Janus III–Vi Van Der Waals Heterostructures

open access: yesAdvanced Intelligent Discovery, EarlyView.
A crystal graph neural network based on the attention mechanism is proposed in this work. The model dynamically weights features through the attention mechanism, enabling precise prediction of properties of material from structural features. Here, taking Janus III–VI van der Waals heterostructures as a representative case, the properties have been ...
Yudong Shi   +7 more
wiley   +1 more source

Some geometric aspects of finite abelian groups [PDF]

open access: yesRendiconti di Matematica e delle Sue Applicazioni, 2006
Let Π be a finite projective plane admitting a large abelian collineation group. It is well known that this situation may be studied by algebraic means (via a representation by suitable types of difference sets), namely using group rings and algebraic ...
Dina Ghinelli, Dieter Jungnickel
doaj  

Equivariant brauergroups in algebraic number theory

open access: yes, 1971
© Mémoires de la S. M. F., 1971, tous droits réservés. L’accès aux archives de la revue « Mémoires de la S. M. F. » (http://smf. emath.fr/Publications/Memoires/Presentation.html) implique l’accord avec les conditions générales d’utilisation (http://www ...
A. Fröhlich, C. Wall
semanticscholar   +1 more source

A Shared Control Method of Multiobjective Motion Fusion for Surgical Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper proposes an innovative shared control method that can handle multiple objectives task by integrating various types of controllers. It not only takes into account the priorities among the objectives but also allows for the flexible addition or removal of objective controllers.
Xilin Xiao   +7 more
wiley   +1 more source

Reprogrammable, In‐Materia Matrix‐Vector Multiplication with Floppy Modes

open access: yesAdvanced Intelligent Systems, EarlyView.
This article describes a metamaterial that mechanically computes matrix‐vector multiplications, one of the fundamental operations in artificial intelligence models. The matrix multiplication is encoded in floppy modes, near‐zero force deformations of soft matter systems.
Theophile Louvet   +2 more
wiley   +1 more source

On Algebraic Number Theory Domains Dedekind [PDF]

open access: hybrid, 2023
Ghadge Ramesh Bhaskarrao -
openalex   +1 more source

AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice

open access: yesAnnals of Neurology, EarlyView.
Artificial intelligence (AI) is rapidly transforming healthcare, yet it often remains opaque to clinicians, scientists, and patients alike. This review, part 1 of a 3‐part series, provides neurologists and neuroscientists with a foundational understanding of AI's key concepts, terminology, and applications.
Matthew Rizzo, Jeffrey D. Dawson
wiley   +1 more source

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