Leandro Y. Mano

Orcid: 0000-0003-2215-0133

Affiliations:
  • State University of Rio de Janeiro, RJ, Brazil
  • University of São Paulo, São Carlos, SP, Brazil (PhD 2019)


According to our database1, Leandro Y. Mano authored at least 13 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Integrating YOLO and 3D U-Net for COVID-19 Diagnosis on Chest CT Scans.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023
Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period.
Int. J. Comput. Intell. Syst., December, 2023

A module-based framework to emotion recognition by speech: a case study in clinical simulation.
J. Ambient Intell. Humaniz. Comput., 2023

2021
FlexPersonas: flexible design of IoT-based home healthcare systems targeted at the older adults.
AI Soc., 2021

2020
An intelligent and generic approach for detecting human emotions: a case study with facial expressions.
Soft Comput., 2020

2019
Exploiting Offloading in IoT-Based Microfog: Experiments with Face Recognition and Fall Detection.
Wirel. Commun. Mob. Comput., 2019

ENLACE: A Combination of Layer-Based Architecture and Wireless Communication for Emotion Monitoring in Healthcare.
Mob. Inf. Syst., 2019

2018
Emotional condition in the Health Smart Homes environment: emotion recognition using ensemble of classifiers.
Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

2017
Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: Reflections on their long-term deployment in Brazil.
Comput. Environ. Urban Syst., 2017

An adaptive approach for UAV-based pesticide spraying in dynamic environments.
Comput. Electron. Agric., 2017

A Machine Learning-Based Approach for Prediction of Plant Protection Product Deposition.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition.
Comput. Commun., 2016

2015
Exploiting the Use of Ensemble Classifiers to Enhance the Precision of User's Emotion Classification.
Proceedings of the Workshop Proceedings of the 16th International Conference on Engineering Applications of Neural Networks, 2015


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