Petia Georgieva


AuthID: R-000-F4E

Confirmed Publications: 104



1
TITLE: 5G cascaded channel estimation using convolutional neural networks  Full Text
AUTHORS: Coutinho, Fabio D. L. S.; Silva, Hugerles S.; Georgieva, Petia ; Oliveira, Arnaldo S. R.;
PUBLISHED: 2022, SOURCE: DIGITAL SIGNAL PROCESSING, VOLUME: 126
INDEXED IN: Scopus WOS CrossRef: 3
IN MY: ORCID
2
TITLE: An Innovative Vision System for Floor-Cleaning Robots Based on YOLOv5
AUTHORS: Canedo, Daniel; Fonseca, Pedro; Georgieva, Petia ; Neves, Antonio J. R. ;
PUBLISHED: 2022, SOURCE: 10th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) in PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2022), VOLUME: 13256
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
3
TITLE: CNN-based Algorithm for Joint Channel and Phase Noise Estimation in OFDM Relay Systems
AUTHORS: Coutinho, Fabio D. L.; Silva, Hugerles S.; Georgieva, Petia ; Oliveira, Arnaldo;
PUBLISHED: 2022, SOURCE: IEEE Latin-American Conference on Communications (LATINCOM) in 2022 IEEE LATIN-AMERICAN CONFERENCE ON COMMUNICATIONS (LATINCOM)
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
4
TITLE: Deep Learning for Diagnosis of Alzheimer's Disease with FDG-PET Neuroimaging
AUTHORS: Bastos, Jose; Silva, Filipe; Georgieva, Petia ;
PUBLISHED: 2022, SOURCE: 10th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) in PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2022), VOLUME: 13256
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
5
TITLE: Energy Savings in Residential Buildings Based on Adaptive Thermal Comfort Models
AUTHORS: Almeida, Rodrigo; Georgieva, Petia ; Martins, Nelson;
PUBLISHED: 2022, SOURCE: 10th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA) in PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2022), VOLUME: 13256
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
6
TITLE: Pattern Recognition and Image Analysis. 10th Iberian Conference, IbPRIA 2022, Aveiro, Portugal, May 4-6, 2022, Proceedings
AUTHORS: Armando J Pinho ; Petia Georgieva ; University of Porto; Joan Andreu Sánchez;
PUBLISHED: 2022
INDEXED IN: Openlibrary
IN MY: ORCID
7
8
TITLE: The Use of Machine-Learning Techniques in Material Constitutive Modelling for Metal Forming Processes
AUTHORS: Lourenco, Ruben; Andrade Campos, Antonio; Georgieva, Petia ;
PUBLISHED: 2022, SOURCE: METALS, VOLUME: 12, ISSUE: 3
INDEXED IN: WOS CrossRef: 1
IN MY: ORCID
9
TITLE: The Virtual Fields Method to Indirectly Train Artificial Neural Networks for Implicit Constitutive Modelling
AUTHORS: Lourenço, R; Andrade Campos, A; Georgieva, P ;
PUBLISHED: 2022, SOURCE: 25th International Conference on Material Forming, ESAFORM 2022 in Key Engineering Materials, VOLUME: 926 KEM
INDEXED IN: Scopus CrossRef
IN MY: ORCID
10
TITLE: A Deep Learning-Based Dirt Detection Computer Vision System for Floor-Cleaning Robots with Improved Data Collection
AUTHORS: Daniel Canedo; Pedro Fonseca; Petia Georgieva ; António J R Neves;
PUBLISHED: 2021, SOURCE: Technologies, VOLUME: 9, ISSUE: 4
INDEXED IN: CrossRef: 5
IN MY: ORCID
Page 1 of 11. Total results: 104.

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