Results 111 to 120 of about 27,002 (295)

Predictable and Scalable Analog Matrix–Vector Multiplication in Memristor Crossbars via Closed‐Form Wire‐Resistance Compensation

open access: yesAdvanced Electronic Materials, EarlyView.
Wire resistance and sneak paths severely compromise the performance of large memristor crossbars. A predictive closed‐form distributed line‐resistance model, combined with a fourmatrix geometry‐averaging algorithm, eliminates these parasitic limitations.
Davide Rossetti   +5 more
wiley   +1 more source

Development and experimental validation of a predictive resilient framework for cyber‐physical systems

open access: yesAIChE Journal, EarlyView.
Abstract Cyber‐physical process systems integrate process dynamics, control, sensing, actuation, and communication, making them vulnerable to attacks that falsify data, alter control actions, or disrupt networks and drive operations toward unsafe states.
Luyang Liu   +5 more
wiley   +1 more source

Admissibility

open access: yes, 2016
This chapter is a brief exploration of general issues of courtroom admissibility, including the definition of an expert witness and their role in court.
Mallett, Xanthe
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

Extended admissibility

open access: yesTheoretical Computer Science, 2002
We give a new definition of admissible representations which allows to handle also non countably-based topological spaces in the framework of Type-2 Theory of Effectivity. We prove that admissible representations \(\delta_{X},\delta_{Y}\) of topological spaces \(X,Y\) have the desirable property that every partial function \(f\subseteq X\rightarrow Y\)
openaire   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

open access: yesAdvanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows   +7 more
wiley   +1 more source

La Impugnación de la Competencia en Asuntos Contenciosos ante la Corte Internacional de Justicia

open access: yesACDI: Anuario Colombiano de Derecho Internacional, 2008
In this comment the different procedures available to a State whichis unwilling to appear before the International Court of Justice are discussed. Challenges to the Court’s jurisdiction or the admissibility of the application are explained, including the
Juan José Quintana
doaj  

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong   +4 more
wiley   +1 more source

Admissibility of Linear Predictors of Finite Population Parameters under Reflected Normal Loss Function [PDF]

open access: yesJournal of Sciences, Islamic Republic of Iran, 2016
One of the most important prediction problems in finite population is the prediction of a linear function of characteristic values of a finite population.
R. Jafaraghaie, N. Nematollahi
doaj  

Reinforcement Learning With a Low‐Cost Parallel Linkage Gripper for Static and Dynamic Planar In‐Hand Manipulation

open access: yesAdvanced Intelligent Systems, EarlyView.
Hardware‐learning co‐design combines volar‐plate‐inspired passive‐joint constraints with mechanism‐aware reinforcement learning for a low‐cost parallel‐linkage gripper. The resulting system performs quasi‐static object adjustment and dynamic pinch grasping, demonstrating reliable planar in‐hand manipulation and successful sim‐to‐real transfer. Parallel
Yanzhou Jin   +4 more
wiley   +1 more source

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