Gustavo Pessin

According to our database1, Gustavo Pessin authored at least 54 papers between 2009 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

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Bibliography

2020
A fog-enabled smart home solution for decision-making using smart objects.
Future Generation Comp. Syst., 2020

2019
A Machine-Learning Approach to Distinguish Passengers and Drivers Reading While Driving.
Sensors, 2019

Energy-efficient smart home systems: Infrastructure and decision-making process.
Internet of Things, 2019

AgriPrediction: A proactive internet of things model to anticipate problems and improve production in agricultural crops.
Computers and Electronics in Agriculture, 2019

Exploiting Machine Learning for the Identification of Locomotives' Position in Large Freight Trains.
Applied Artificial Intelligence, 2019

Exploiting Machine Learning Models to Avoid Texting While Driving.
Proceedings of the International Joint Conference on Neural Networks, 2019

Towards a Smart Fault Tolerant Indoor Localization System Through Recurrent Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Low-Cost Electronic Tagging System for Bee Monitoring.
Sensors, 2018

How to Improve Fault Tolerance in Disaster Predictions: A Case Study about Flash Floods Using IoT, ML and Real Data.
Sensors, 2018

Addressing RFID Misreadings to Better Infer Bee Hive Activity.
IEEE Access, 2018

Identifying Bee Species by Means of the Foraging Pattern Using Machine Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Real-Time Hand Prosthesis Biomimetic Movement Based on Electromyography Sensory Signals Treatment and Sensors Fusion.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Enhancing reliability in Wireless Sensor Networks for adaptive river monitoring systems: Reflections on their long-term deployment in Brazil.
Computers, Environment and Urban Systems, 2017

Providing adaptive smartphone interfaces targeted at elderly people: an approach that takes into account diversity among the elderly.
Universal Access in the Information Society, 2017

Assessing users' emotion at interaction time: a multimodal approach with multiple sensors.
Soft Comput., 2017

An adaptive approach for UAV-based pesticide spraying in dynamic environments.
Computers and Electronics in Agriculture, 2017

Enhancing intelligence in multimodal emotion assessments.
Appl. Intell., 2017

Exploiting the Use of Convolutional Neural Networks for Localization in Indoor Environments.
Applied Artificial Intelligence, 2017

Exploiting the use of recurrent neural networks for driver behavior profiling.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Deep Learning Approach to Detect Distracted Drivers Using a Mobile Phone.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Exploiting Recurrent Neural Networks in the Forecasting of Bees' Level of Activity.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Improving Our Understanding of the Behavior of Bees Through Anomaly Detection Techniques.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016
Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory - A case study involving a real wireless sensor network deployment in Brazil.
Neural Computing and Applications, 2016

Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields: An Approach for Dynamic Environments.
International Journal on Artificial Intelligence Tools, 2016

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

Exploiting the use of machine learning in two different sensor network architectures for indoor localization.
Proceedings of the IEEE International Conference on Industrial Technology, 2016

2015
An Energy-Aware System for Decision-Making in a Residential Infrastructure Using Wireless Sensors and Actuators.
Proceedings of the 14th IEEE International Symposium on Network Computing and Applications, 2015

A Distributed Approach to Flood Prediction Using a WSN and ML: A Comparative Study of ML Techniques in a WSN Deployed in Brazil.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 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

2014
NodePM: A Remote Monitoring Alert System for Energy Consumption Using Probabilistic Techniques.
Sensors, 2014

CaRINA Intelligent Robotic Car: Architectural design and applications.
Journal of Systems Architecture - Embedded Systems Design, 2014

The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides.
Journal of Systems Architecture - Embedded Systems Design, 2014

Investigation on the evolution of a robotic controller for autonomous vehicle navigation.
Journal of Intelligent and Fuzzy Systems, 2014

Exploiting the use of unmanned aerial vehicles to provide resilience in wireless sensor networks.
IEEE Communications Magazine, 2014

A Visual-Analytics System for Railway Safety Management.
IEEE Computer Graphics and Applications, 2014

Self-localisation in indoor environments combining learning and evolution with wireless networks.
Proceedings of the Symposium on Applied Computing, 2014

Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

An Accurate Flood Forecasting Model Using Wireless Sensor Networks and Chaos Theory: A Case Study with Real WSN Deployment in Brazil.
Proceedings of the Engineering Applications of Neural Networks, 2014

Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields.
Proceedings of the Engineering Applications of Neural Networks, 2014

Combining Wireless Sensor Networks and Machine Learning for Flash Flood Nowcasting.
Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops, 2014

2013
Intelligent strategies applied to autonomous mobile robots and groups of robots.
PhD thesis, 2013

Swarm intelligence and the quest to solve a garbage and recycling collection problem.
Soft Comput., 2013

Vision-based waypoint following using templates and artificial neural networks.
Neurocomputing, 2013

Investigation on the Evolution of an Indoor robotic Localization System Based on Wireless Networks.
Applied Artificial Intelligence, 2013

2012
Applying particle swarm optimization to a garbage and recycling collection problem.
Proceedings of the 12th UK Workshop on Computational Intelligence, 2012

Combining Evolution and Training in a Robotic Controller for Autonomous Vehicle Navigation.
Proceedings of the Advances in Autonomous Robotics, 2012

Vision and GPS-based autonomous vehicle navigation using templates and artificial neural networks.
Proceedings of the ACM Symposium on Applied Computing, 2012

The use of unmanned aerial vehicles and wireless sensor network in agricultural applications.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Evolving an Indoor Robotic Localization System Based on Wireless Networks.
Proceedings of the Engineering Applications of Neural Networks, 2012

2011
Vision-Based Autonomous Navigation Using Supervised Learning Techniques.
Proceedings of the Engineering Applications of Neural Networks, 2011

Evaluating the impact of the number of access points in mobile robots localization using artificial neural networks.
Proceedings of the 5th International Conference on COMmunication System softWAre and MiddlewaRE (COMSWARE 2011), 2011

2010
Evaluation of a Fault-tolerant Model for Tactic Operations of Mobile Robotic Groups Using Genetic Algorithms.
CLEI Electron. J., 2010

Improving Efficiency of a Genetic Algorithm Applied to Multi-robot Tactic Operation.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
Terrain mapping and classification using neural networks.
Proceedings of the 2009 International Conference on Hybrid Information Technology, 2009


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