Results 41 to 50 of about 7,154 (300)
Uncertainty‐Aware Deep Ensembles for Robust and Reliable Chemical Sensor Arrays
Advanced Science, EarlyView.A reliability‐aware electronic nose is developed using photothermally anchored metal‐catalyst decorated metal oxide nanofiber sensor arrays combined with deep ensemble learning. Diverse catalytic nanofiber channels generate gas‐specific response patterns, enabling selective identification and quantification of sulfur‐containing gases.
Sungwoo Eo +5 more
wiley +1 more source
Uniform convergence and pointwise convergence [PDF]
, 2010 The aim of this material is to introduce the student to two notions of convergence for sequences of real-valued functions. The notion of pointwise convergence is relatively straightforward, but the notion of uniform convergence is more subtle.
Feinstein Joel F. Dr
core
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
Advanced Science, EarlyView.A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
Lacunary Statistical Convergence of Sequences of Real-Valued Functions
Journal of Mathematics, 2013 We introduce the concepts of the lacunary statistical convergence of sequences of real-valued functions. We also give the relation between this convergence and strongly lacunary and pointwise statistical convergence.
A. Gökhan
doaj +1 more source
Pointwise convergence and Ascoli theorems for nearness spaces
Applied General Topology, 2009 We first study subspaces and product spaces in the context of nearness spaces and prove that U-N spaces, C-N spaces, PN spaces and totally bounded nearness spaces are nearness hereditary; T-N spaces and compact nearness spaces are N-closed hereditary. We
Zhanbo Yang
doaj +1 more source
AIChE Journal, EarlyView.ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
On normality of spaces of scatteredly continuous maps [PDF]
Математичні Студії, 2011 A map f:X→Y between topological spaces is called scatteredly continuous if for each non-empty subspace A⊂X the restriction f| A has a point of continuity.
B. M. Bokalo, N. M. Kolos
doaj
Pointwise universal consistency of nonparametric linear estimators [PDF]
, 2004 This paper presents sufficient conditions for pointwise universal consistency of nonparametric delta estimators.
Vidal-Sanz, Jose M.
core
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced 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
International Journal of Mathematics and Mathematical Sciences, 2002 We discuss the monad associated with the topology of pointwise convergence. We also study examples of the Eilenberg-Moore algebras for this monad.
Koena R. Nailana
doaj +1 more source