Carlos Cambra Baseca

Orcid: 0000-0001-5567-9194

Affiliations:
  • Technical University of Valencia, Spain
  • University of Burgos, Spain


According to our database1, Carlos Cambra Baseca authored at least 26 papers between 2013 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
A Clustering Extension of HUEPs for the Analysis of Performance Anomalies in Robots.
Cybern. Syst., August, 2024

2023
Innovative Soft-Computing Solutions for Industrial and Environmental Problems.
Cybern. Syst., April, 2023

A hybrid machine learning system to impute and classify a component-based robot.
Log. J. IGPL, March, 2023

Missing Values Imputation for Visualizing the Air Quality Evolution During the COVID-19 Pandemic in Madrid.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023

2022
A visual tool for monitoring and detecting anomalies in robot performance.
Pattern Anal. Appl., 2022

Humidity forecasting in a potato plantation using time-series neural models.
J. Comput. Sci., 2022

Regression Techniques to Predict the Growth of Potato Tubers.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

2021
Improving the detection of robot anomalies by handling data irregularities.
Neurocomputing, 2021

Visually Monitoring the Performance of a Component-Based Robot.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

A Hybrid Intelligent System to Detect Anomalies in Robot Performance.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

2020
Self-Organizing Maps to Validate Anti-Pollution Policies.
Log. J. IGPL, 2020

Imputation of Missing Values Affecting the Software Performance of Component-based Robots.
Comput. Electr. Eng., 2020

Recent Advances on the Application of Soft Computing to Industrial and Environmental Enterprises.
Cybern. Syst., 2020

Neural Models to Predict Irrigation Needs of a Potato Plantation.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Advanced Oversampling for Improved Detection of Software Anomalies in a Robot.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Detecting Performance Anomalies in the Multi-component Software a Collaborative Robot.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Trends and Patterns of International Student Mobility: The Case of Bachelor's Degrees in Computer Science at the University of Burgos.
Proceedings of the 11th International Conference on EUropean Transnational Educational, 2020

Clustering and Regression to Impute Missing Values of Robot Performance.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

AI-driven Visualizations for Performance Monitoring and Anomaly Detection in Robots.
Proceedings of the 17th IEEE/ACS International Conference on Computer Systems and Applications, 2020

2019
Delving into Android Malware Families with a Novel Neural Projection Method.
Complex., 2019

2018
Smart System for Bicarbonate Control in Irrigation for Hydroponic Precision Farming.
Sensors, 2018

2017
Low cost wireless sensor network for rodents detection.
Proceedings of the 10th IFIP Wireless and Mobile Networking Conference, 2017

An IoT service-oriented system for agriculture monitoring.
Proceedings of the IEEE International Conference on Communications, 2017

2015
Ad hoc Network for Emergency Rescue System based on Unmanned Aerial Vehicles.
Netw. Protoc. Algorithms, 2015

2014
Deployment and Performance Study of an Ad Hoc Network Protocol for Intelligent Video Sensing in Precision Agriculture.
Proceedings of the Ad-hoc Networks and Wireless, 2014

2013
Communication Ad Hoc Protocol for Intelligent Video Sensing Using AR Drones.
Proceedings of the IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks, 2013


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