José M. Seixas - Department of Electronics and Computer Engineering, Federal University of Rio de Janeiro

基本信息

Career Trajectory

Bio

Jose M. Seixas has been an Associate Professor at the Federal University of Rio de Janeiro, Brazil, since 1987. He was with a number of companies, involved in telecommunication and computer peripheral designs, and he was also with the Brazilian Navy. His research topics comprise general signal processing, neural networks, instrumentation, and engineering education.

Research Interests

Papers共 151 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Iterative and incremental development of the ATLAS Publication Tracking System

Loureiro Cruz Ana Clara, Niklaus Moreira Da Rocha Rodrigues Carolina, de Aragão Aleksandravicius Gabriel, Lemos Lúcidi Pinhão Gabriela, Goes Afonso Pedro Henrique,Coura Torres Rodrigo,Seixas José Manoel

EPJ Web of Conferences (2024): 05009

Cited0Views0Bibtex

The ALICE Service Work system

de Souza Pereira Jomar Júnior,Telesca Adriana, Günter Simão Mario,Manuel Seixas Jose,Coura Torres Rodrigo

EPJ Web of Conferences (2024): 08020

Cited0Views0Bibtex

The ALICE Membership system

de Souza Pereira Jomar Júnior,Telesca Adriana,Manuel Seixas Jose,Coura Torres Rodrigo

EPJ Web of Conferences (2024): 04041

Cited0Views0Bibtex

A Reduced Complexity Acoustic-Based 3D DoA Estimation with Zero Cyclic Sum

Rigel Procopio Fernandes,Jose Antonio Apolinario,Jose Manoel de Seixas

SENSORSno. 7 (2024): 2344

Cited0Views0WOSEIBibtex

Enhancing data consistency in ATLAS and CERN HR databases through automated synchronization

de Aragão Aleksandravicius Gabriel, Loureiro Cruz Ana Clara, Niklaus Moreira da Rocha Rodrigues Carolina, Lemos Lúcidi Pinhão Gabriela, Goes Afonso Pedro Henrique,Coura Torres Rodrigo,Seixas José Manoel

EPJ Web of Conferences (2024): 05004

Cited0Views0Bibtex

Separation and Identification of Sources of Supraharmonic Signals Using Complex ICA

Ivo Silva Lopes Tebexreni,Carlos Augusto Duque,Jose Manoel de Seixas

2023 IEEE Power & Energy Society General Meeting (PESGM)pp.1-5, (2023)

Cited0Views0EIWOSBibtex

Lorenzetti Showers - A general-purpose framework for supporting signal reconstruction and triggering with calorimeters

M. V. Araújo, M. Begalli,W. S. Freund, G. I. Gonçalves,M. Khandoga,B. Laforge,A. Leopold, J. L. Marin, B. S.-M. Peralva,João V. F. Pinto, M. S. Santos,José Manoel de Seixas,

Comput. Phys. Commun.（2023）

Cited0Views0EIBibtex

Passive Sonar Classification Using Time-Domain Information and Recurrent Neural Networks

Marlon Jovenil de Souza,Natanael Nunes de Moura Júnior,José Manoel de Seixas

2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI)pp.1-6, (2022)

Cited1Views0EIWOSBibtex

Constraints on Higgs boson properties using $$WW^{*}(\rightarrow e\nu \mu \nu )jj$$ production in $$36.1\,\mathrm{fb}^{-1}$$ of $$\sqrt{s}=13$$ TeV pp collisions with the ATLAS detector

G. Aad,B. Abbott,D. C. Abbott,A. Abed Abud,K. Abeling,D. K. Abhayasinghe,S. H. Abidi,O. S. AbouZeid,N. L. Abraham,H. Abramowicz,H. Abreu,Y. Abulaiti,

European Physical Journal Cno. 7 (2022)

Cited7Views0Bibtex

Unsupervised Class-Expert Learning for Supporting Covid-19 Triage Based on Computed Tomography Data

Taís Aparecida Alvarenga,Luís Otávio Santos,Demostenes Zegarra Rodriguez,Danton Ferreira,Bruno Henrique Groenner Barbosa,José Seixas

Learning and Nonlinear Modelsno. 2 (2022): 74-88

Cited0Views0Bibtex

Author Statistics

Co-Author

Co-Institution

D-Core

合作者
学生
导师

No result temporarily, you can search similar Scholar with the same research interest

Data Disclaimer

The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn