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Deep learning-based expressive speech synthesis: a systematic review of approaches, challenges, and resources
(Springer, 2024-02-12)
Speech synthesis has made significant strides thanks to the transition from machine learning to deep learning models. Contemporary text-to-speech (TTS) models possess the capability to generate speech of exceptionally high ...
Performance of the local reconstruction algorithms for the CMS hadron calorimeter with Run 2 data
(IOP Publishing, 2023-11)
A description is presented of the algorithms used to reconstruct energy deposited in the CMS hadron calorimeter during Run 2 (2015-2018) of the LHC. During Run 2, the characteristic bunch-crossing spacing for proton-proton ...
A predictive multistage postdisaster damage assessment framework for drone routing
(Wiley, 2024-01)
This study focuses on postdisaster damage assessment operations supported by a set of drones. We propose a multistage framework, consisting of two phases applied iteratively to rapidly gather damage information within an ...
Measurements of the associated production of a W boson and a charm quark in proton–proton collisions at √s=8TeV
(Springer, 2022-12-05)
Measurements of the associated production of a W boson and a charm (c) quark in proton–proton collisions at a centre-of-mass energy of 8TeV are reported. The analysis uses a data sample corresponding to a total integrated ...
Author Correction: A portrait of the Higgs boson by the CMS experiment ten years after the discovery
(Nature Research, 2022-11-02)
In the version of this article initially published, CMS Collaboration author names, affiliations and acknowledgements were omitted and have now been included in the HTML and PDF versions of the article.
Top pair spin correlation studies in CMS
(Sissa Medialab Srl, 2021-02-08)
Measurement of tt¯ spin correlations are presented in event with top quarks produced in pp collisions at the LHC. The data correspond to an integrated luminosities of 19.5 fb-1 at vs = 8 TeV and 36 fb-1 at vs = 13 TeV ...
Asset price and direction prediction via deep 2D transformer and convolutional neural networks
(ACM, 2022-11-02)
Artificial intelligence-based algorithmic trading has recently started to attract more attention. Among the techniques, deep learning-based methods such as transformers, convolutional neural networks, and patch embedding ...
Validation and comparison of 2D and 3D numerical simulations of flow in simplex nozzles
(Europe, Institute for Liquid Atomization and Spray Systems, ILASS, 2021-08-31)
Numerical simulations of pressure swirl atomizers are computationally expensive due to transient and multiphase flow behavior. In this study, 2D and 3D VOF simulations are performed for a geomerty which has high swirl ...
The effect of interface gradient distribution on unrealistic flow in 3D droplet simulations
(Europe, Institute for Liquid Atomization and Spray Systems, ILASS, 2021-08-31)
The purpose of this study is to investigate the origin of the parasitic current to provide accurate prediction of droplet surface interactions in Volume of Fluid (VOF) framework. The deformation of the droplet due to ...
Search for bottom-type, vectorlike quark pair production in a fully hadronic final state in proton-proton collisions at √s = 13 TeV
(American Physical Society, 2020-12-07)
A search is described for the production of a pair of bottom-type vectorlike quarks (VLQs), each decaying into a b or (b) over bar quark and either a Higgs or a Z boson, with a mass greater than 1000 GeV. The analysis is ...
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