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Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2023-01, Vol.1045, p.167628, Article 167628

2023

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Phase‐space relative Rényi entropy in density functional theory

International journal of quantum chemistry, 2024-01, Vol.124 (1), p.n/a

Nagy, Ágnes

2024

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Remaining useful life prediction of rolling bearings based on segmented relative phase space warping and particle filter

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-1

2022

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Classification of Heart Failure Based on Phase Trajectory Complexity of Seismocardiogram

IEEE sensors journal, 2023-12, Vol.23 (23), p.1-1

2023

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Synthesizing lattice structures in phase space

New journal of physics, 2016-02, Vol.18 (2), p.23006

2016

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Time evolution of coupled spin systems in a generalized Wigner representation

Annals of physics, 2019-09, Vol.408, p.1-50

2019

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New phase space formulations and quantum dynamics approaches

Wiley interdisciplinary reviews. Computational molecular science, 2022-11, Vol.12 (6), p.e1619-n/a

2022

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Measurement of the H→ γγ and H→ ZZ∗→ 4 ℓ cross-sections in pp collisions at √s=13.6 TeV with the ATLAS detector

The European physical journal. C, Particles and fields, 2024, Vol.84 (1)

2024

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Phoneme classification in reconstructed phase space with convolutional neural networks

Pattern recognition letters, 2020-07, Vol.135, p.299-306

2020

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Phase‐space relative Rényi entropy in density functional theory

Remaining useful life prediction of rolling bearings based on segmented relative phase space warping and particle filter

Classification of Heart Failure Based on Phase Trajectory Complexity of Seismocardiogram

Synthesizing lattice structures in phase space

Time evolution of coupled spin systems in a generalized Wigner representation

New phase space formulations and quantum dynamics approaches

Measurement of the H→ γγ and H→ ZZ∗→ 4 ℓ cross-sections in pp collisions at √s=13.6 TeV with the ATLAS detector

Phoneme classification in reconstructed phase space with convolutional neural networks

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