Výsledky vyhledávání - "Convolucions (Matemàtica)"

Infinite-derivative linearized gravity in convolutional form

Autor: Anupam Mazumdar, Carlos Heredia Pimienta, Josep Llosa, Ivan Kolar, Francisco José Maldonado Torralba

Publikováno v: Classical and Quantum Gravity, 39(8):085001. IOP PUBLISHING LTD

This article aims to transform the infinite-order Lagrangian density for ghost-free infinite-derivative linearized gravity into non-local. To achieve it, we use the theory of generalized functions and the Fourier transform in the space of tempered di

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::805d401dfd113b8655011b05749eac6a
http://www.scopus.com/inward/record.url?scp=85126851029&partnerID=8YFLogxK

Zobrazit plný text záznamu

On spectral properties of the modified convolution operator

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______272::7325076116ff237ad18b9d39f8e43ef6
https://hdl.handle.net/2072/419171

Zobrazit plný text záznamu

Inversion of analytic characteristic functions and infinite convolutions of exponential and Laplace densities

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______272::41f1f3d1ea3135f03b37bd4382dc5b36
https://hdl.handle.net/2072/418981

Zobrazit plný text záznamu

Norm convolution inequalities in Lebesgue spaces

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______272::ad0139c2765c14605b96cd4ef74aeda5
https://hdl.handle.net/2072/418946

Zobrazit plný text záznamu

Application and development of a CNN model to optimize an OligoFISSEQ image obtention pipeline

Autor: Martí Aranda, Aina

Treball de fi de grau en Bioinformàtica. Curs 2020-2021 Tutors: David Castillo Andreo i Marc A. Marti-Renom En aquest projecte s’ha explorat l’aplicació d’una intel·ligència artificial al procés d’obtenció d’imatges d’OligoFISSEQ pe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1610::36c27df27a5043252f057adaca9b5e19
http://hdl.handle.net/10230/49015

Zobrazit plný text záznamu

Norm convolution inequalities in Lebesgue spaces

Autor: Nursultanov, Erlan, Tikhonov, Sergey Yu., Tleukhanova, N., Universitat Autònoma de Barcelona. Centre de Recerca Matemàtica

Publikováno v: Recercat: Dipósit de la Recerca de Catalunya
Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Recercat. Dipósit de la Recerca de Catalunya
instname

We obtain upper and lower estimates of the (p; q) norm of the con-volution operator. The upper estimate sharpens the Young-type inequalities due to O'Neil and Stepanov.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::774cdce2e20889442881436518b9467e
http://hdl.handle.net/2072/418946

Zobrazit plný text záznamu

On spectral properties of the modified convolution operator

Autor: Jumabayeva, Ainur, Smailov, Esmuhanbet, Tleukhanova, N., Centre de Recerca Matemàtica

Vegeu el resum a l'inici del document del fitxer adjunt.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::351017df76a217e36dcba384c8503072
http://hdl.handle.net/2072/419171

Zobrazit plný text záznamu

Norm convolution inequalities in Lebesgue spaces

Autor: Nazerke Tleukhanova, Erlan Nursultanov, Sergey Tikhonov

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname

We obtain upper and similar lower estimates of the (Lp,Lq) norm for the convolution operator. The upper estimate improves on known convolution inequalities. The technique to obtain lower estimates is applied to study boundedness problems for oscillat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20cd338532d5071b924ed9732d6a3ae1
https://doi.org/10.4171/rmi/1004

Zobrazit plný text záznamu

A practical approach for detection and classification of traffic signs using Convolutional Neural Networks

Autor: Elnaz Jahani Heravi, Hamed Habibi Aghdam, Domenec Puig

Publikováno v: Robotics and Autonomous Systems

Automatic detection and classification of traffic signs is an important task in smart and autonomous cars. Convolutional Neural Networks has shown a great success in classification of traffic signs and they have surpassed human performance on a chall

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9378a1134d74d38dab361a171443944a
https://doi.org/10.1016/j.robot.2016.07.003

Zobrazit plný text záznamu

A practical approach for detection and classification of traffic signs using Convolutional Neural Networks

Autor: Hamed Habibi Aghdam, Elnaz Jahani Heravi, Domenec Puig

Publikováno v: Robotics and Autonomous Systems
Repositori Institucional de la Universitat Rovira i Virgili
Universitat Rovira i virgili (URV)

DOI: 10.1016/j.robot.2016.07.003 URL: http://www.sciencedirect.com/science/article/pii/S092188901530316X Filiació URV: SI Inclòs a la memòria: SI Automatic detection and classification of traffic signs is an important task in smart and autonomous

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::fb064de937c876ea27665ba8fd4f5a67
http://hdl.handle.net/20.500.11797/PC1931

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání