Results 121 to 130 of about 3,908,270 (279)

Hilbert-Space Fragmentation from Strict Confinement. [PDF]

open access: yesPhys Rev Lett, 2020
Yang ZC, Liu F, Gorshkov AV, Iadecola T.
europepmc   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou   +4 more
wiley   +1 more source

Measures of Distance in Quantum Mechanics

open access: yesUniverse
Combining gravity with quantum theory is still a work in progress. On the one hand, classical gravity is the geometry of space-time determined by the energy–momentum tensor of matter and the resulting nonlinear equations; on the other hand, the ...
Pawel Gusin   +2 more
doaj   +1 more source

Fault‐Tolerant Fuzzy Boundary Control for Nonlinear Distributed Parameter Systems Under Limited Measurements and Markovian Failures

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper proposes a boundary control method for nonlinear distributed parameter systems (DPSs) with limited boundary measurements (BMs), as typically encountered in networked cyber‐physical processes with spatially distributed dynamics such as thermal and biomedical diffusion systems.
Yanlin Li   +5 more
wiley   +1 more source

Results on soft Hilbert spaces

open access: yes, 2019
Molodtsov [6] introduced the notion of soft set which can be considered as a new mathematical approach for vagueness. Das and Samanta [8] first defined the soft vector space and soft norm. Yazar and et al. [9] defined the soft vector space by using the concept of soft point given in [4, 5] and introduced the soft normed spaces in a new point of view ...
YAZAR, M. I., ARAS, C. G., BAYRAMOV, S.
openaire   +3 more sources

RES‐AD: An AutoML‐Driven Robust Ensemble Framework for Real‐Time Anomaly Detection and Energy Forecasting in Smart Grids

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan   +4 more
wiley   +1 more source

Robust Multi‐Source Batch Normalisation for Test‐Time Batch Adaptation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Test‐Time Batch Adaptation (TTBA) aims to adapt a pre‐trained source model to small, unlabelled target batches at test time. The TTBA methods focus on adapting the pre‐trained model or the target data in a one‐to‐one alignment paradigm. However, these one‐to‐one alignment paradigms assume that the source domain may share the same knowledge ...
Xinlin Xiao   +3 more
wiley   +1 more source

Essential g-Ascent and g-Descent of a Closed Linear Relation in Hilbert Spaces

open access: yesExtracta Mathematicae, 2017
We define and discuss for a closed linear relation in a Hilbert space the notions of essential g-ascent (resp. g-descent) and g-ascent (resp. g-descent) spectrums. We improve in the Hilbert space case some results given by E.
Zied Garbouj, Haı̈kel Skhiri
doaj  

The Problem With Efficiency as a Pervasive Principle in Business School Academia, and What a Sufficiency‐Based Approach Can Do Better

open access: yesBritish Journal of Management, EarlyView.
Abstract Efficiency is a pervasive yet insufficiently challenged managerial principle and an integral part of business school academia. However, while there is compelling evidence that efficiency gains can have severe undesirable social and ecological consequences that reduce overall welfare both in terms of well‐being and natural resources, business ...
Stephan M. Schaefer, Christopher Wickert
wiley   +1 more source

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