Results 111 to 120 of about 4,727,432 (231)

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Fastformer: An Efficient Attention-Based Framework for Rapid Multi-Class Fault Diagnosis in High-End Equipment Vibration Signals

Entropy
Rapid and accurate multi-class fault diagnosis is essential for high-end equipment because different fault categories require different maintenance responses.
Xiaohan Zhang, Hailun Dai, Chong Zhou, Qi Shen   +3 more
doaj   +1 more source

Convergence of Archimedean Copulas [PDF]

Convergence of a sequence of bivariate Archimedean copulas to another Archimedean copula or to the comonotone copula is shown to be equivalent with convergence of the corresponding sequence of Kendall distribution functions.No extra differentiability ...
Charpentier, A., Segers, J.J.J.
core  

Photo‐Degradable Polyester Networks and Multi‐Photon Printed Objects Based on Cyclic Ketene Acetals

Advanced Functional Materials, EarlyView.
The current work introduces a photoreversible polyester network derived from radical ring‐opening polymerization of cyclic ketene acetals. It combines photoreversible cross‐linking with initiator‐free multi‐photon printing. Reversible network formation, tunable mechanical properties, and selective degradation highlight its potential as a versatile ...
Till Meissner, Julian Fanelli, Vinh Xuan Truong, Rob Jones, Jens Gaitzsch, Christopher Barner‐Kowollik   +5 more
wiley   +1 more source

Lacunary ideal convergence in probabilistic normed space

, 2016
The aim of this paper is to study the notion of lacunary I-convergence in probabilistic normed spaces as a variant of the notion of ideal convergence. Also lacunary I-limit points and lacunary I-cluster points have been defined and the rela-tion between ...
Esi, Ayhan, Hazarika, Bipan
core  

Statistical convergence in strong topology of probabilistic normed spaces [PDF]

, 2008
Following the concept of statistical convergence, we define and study statistical analog concepts of convergence and Cauchy's sequence on a probabilistic normed space that is endowed with a strong topology.
Rafi S. Rahmat, Mohammed, Lafuerza Guillén, Bernardo   +1 more
core   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

On Riesz almost lacunary Cesaro [C, 1, 1, 1] statistical convergence in probabilistic space of χ3∆f

, 2017
In this paper we study the concept of almost lacunary statistical Ces`aro of χ 3 over probabilistic space P is defined by Musielak Orlicz function.
Mironova, Yu. N.
core   +1 more source

Generative AI for drug discovery and protein design: the next frontier in AI-driven molecular science

Medicine in Drug Discovery
Generative artificial intelligence (AI) has emerged as a disruptive paradigm in molecular science, enabling algorithmic navigation and construction of chemical and proteomic spaces through data-driven modeling.
Uddalak Das
doaj   +1 more source

A valid theory on probabilistic causation [PDF]

In this paper several definitions of probabilistic causation are considered, and their main drawbacks discussed. Current notions of probabilistic causality have symmetry limitations (e.g. correlation and statistical dependence are symmetric notions).
Jose M. Vidal-Sanz
core