Petia Georgieva


AuthID: R-000-F4E

Confirmed Publications: 155



31
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 | CIÊNCIAVITAE
32
TITLE: Data Augmentation in 3D Object Detection for self-driving vehicles: The role of original and augmented training samples
AUTHORS: Santos, X; Georgieva, P ; Girão, P; Drummond, M;
PUBLISHED: 2022, SOURCE: 5th International Conference on Applications of Optics and Photonics, AOP 2022 in Journal of Physics: Conference Series, VOLUME: 2407, ISSUE: 1
INDEXED IN: Scopus CrossRef: 2
IN MY: ORCID | CIÊNCIAVITAE
33
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 | CIÊNCIAVITAE
34
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 | CIÊNCIAVITAE
35
36
37
TITLE: Preface
AUTHORS: Pinho, AJ; Georgieva, P ; Teixeira, LF; Sánchez, JA;
PUBLISHED: 2022, SOURCE: 10th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2022 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 13256 LNCS
INDEXED IN: Scopus
IN MY: ORCID | CIÊNCIAVITAE
38
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 | CIÊNCIAVITAE
39
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 | CIÊNCIAVITAE
40
TITLE: A Deep Learning-Based Dirt Detection Computer Vision System for Floor-Cleaning Robots with Improved Data Collection
AUTHORS: Canedo, D; Fonseca, P; Georgieva, P ; Neves, AJR;
PUBLISHED: 2021, SOURCE: TECHNOLOGIES, VOLUME: 9, ISSUE: 4
INDEXED IN: Scopus WOS CrossRef Handle
IN MY: ORCID | CIÊNCIAVITAE
Page 4 of 16. Total results: 155.

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