Larissa F. Rodrigues Moreira
Orcid: 0000-0001-8947-9182Affiliations:
- Federal University of Uberlândia, UFU, Faculty of Computing, FACOM, Minas Gerais, Brazil
 - Federal University of Viçosa, UFV, Institute of Exact and Technological Sciences, Rio Paranaíba, Brazil
 
  According to our database1,
  Larissa F. Rodrigues Moreira
  authored at least 40 papers
  between 2017 and 2025.
  
  
Collaborative distances:
Collaborative distances:
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Online presence:
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    on orcid.org
 
On csauthors.net:
Bibliography
  2025
    Signal Image Video Process., November, 2025
    
  
    CoRR, July, 2025
    
  
Optimizing Edge Gaming Slices through an Enhanced User Plane Function and Analytics in Beyond-5G Networks.
    
  
    CoRR, July, 2025
    
  
Programming in Brazilian Higher Education and High School: A Systematic Literature Review.
    
  
    CoRR, January, 2025
    
  
Medical Image Classification with Privacy: Centralized and Federated Learning Comparison.
    
  
    RITA, 2025
    
  
    RITA, 2025
    
  
    RITA, 2025
    
  
Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning.
    
  
    RITA, 2025
    
  
    RITA, 2025
    
  
    Neurocomputing, 2025
    
  
Forecasting Bitcoin Price With Neural and Statistical Models Across Different Time Granularities.
    
  
    IEEE Access, 2025
    
  
Unleashing AI-Empowered Slices on Mobile Networks for Natively Cognitive Service Delivery.
    
  
    IEEE Access, 2025
    
  
    Proceedings of the 20th International Joint Conference on Computer Vision, 2025
    
  
Leveraging Infrastructure Monitoring for User Experience Forecasting in Container-Based 5G Core.
    
  
    Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2025
    
  
Estimating Application Performance in Container-Based Environments: A Cross-Domain Monitoring Approach.
    
  
    Proceedings of the Advanced Information Networking and Applications, 2025
    
  
  2024
Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images.
    
  
    CoRR, 2024
    
  
    CoRR, 2024
    
  
Improving Sickle Cell Disease Classification: A Fusion of Conventional Classifiers, Segmented Images, and Convolutional Neural Networks.
    
  
    CoRR, 2024
    
  
    CoRR, 2024
    
  
    CoRR, 2024
    
  
    CoRR, 2024
    
  
    CoRR, 2024
    
  
An Approach Based on LiDAR and Spherical Images for Automated Vegetation Inspection in Urban Power Distribution Lines.
    
  
    IEEE Access, 2024
    
  
    Proceedings of the 19th International Joint Conference on Computer Vision, 2024
    
  
    Proceedings of the XIV Brazilian Symposium on Computing Systems Engineering, 2024
    
  
    Proceedings of the 13th IEEE International Conference on Cloud Networking, 2024
    
  
Enabling Intelligence on Edge Through an Artificial Intelligence as a Service Architecture.
    
  
    Proceedings of the 13th IEEE International Conference on Cloud Networking, 2024
    
  
Maximizing the Power of Cognitive Services with an AI-as-a-Service Architecture for Seamless Delivery.
    
  
    Proceedings of the 13th IEEE International Conference on Cloud Networking, 2024
    
  
  2023
An intelligent network monitoring approach for online classification of Darknet traffic.
    
  
    Comput. Electr. Eng., September, 2023
    
  
An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosis.
    
  
    Appl. Soft Comput., February, 2023
    
  
  2022
Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification.
    
  
    J. Digit. Imaging, 2022
    
  
AgroLens: A low-cost and green-friendly Smart Farm Architecture to support real-time leaf disease diagnostics.
    
  
    Internet Things, 2022
    
  
VINEVI: A Virtualized Network Vision Architecture for Smart Monitoring of Heterogeneous Applications and Infrastructures.
    
  
    Proceedings of the Advanced Information Networking and Applications, 2022
    
  
  2021
Enhancing dynamism in management and network slice establishment through deep learning.
    
  
    Proceedings of the International Conference on Information Networking, 2021
    
  
  2020
Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images.
    
  
    Comput. Biol. Medicine, 2020
    
  
Packet Vision: a convolutional neural network approach for network traffic classification.
    
  
    Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020
    
  
  2017
Exploiting Convolutional Neural Networks and Preprocessing Techniques for HEp-2 Cell Classification in Immunofluorescence Images.
    
  
    Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017