Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors
There is currently no standard or widely accepted subset of features to effectively classify
different emotions based on electroencephalogram (EEG) signals. While combining all …
different emotions based on electroencephalogram (EEG) signals. While combining all …
A survey on systematic approaches in managing forest fires
Natural disastrous events are part and parcel of our times and do occur when we least
expect it to strike us. Disasters which take place in the vicinity of human livelihood due to …
expect it to strike us. Disasters which take place in the vicinity of human livelihood due to …
Long short term memory hyperparameter optimization for a neural network based emotion recognition framework
Recently, emotion recognition using low-cost wearable sensors based on
electroencephalogram and blood volume pulse has received much attention. Long short …
electroencephalogram and blood volume pulse has received much attention. Long short …
Short term traffic state prediction via hyperparameter optimization based classifiers
Short-term traffic state prediction has become an integral component of an advanced
traveler information system (ATIS) in intelligent transportation systems (ITS). Accurate …
traveler information system (ATIS) in intelligent transportation systems (ITS). Accurate …
Neuro-evolutionary approach for optimal selection of EEG channels in motor imagery based BCI application
The selection of relevant channels that produces optimal subset of electroencephalogram
(EEG) features is of prime importance for i) reducing computational complexity, ii) reducing …
(EEG) features is of prime importance for i) reducing computational complexity, ii) reducing …
A new multiple robot path planning algorithm: dynamic distributed particle swarm optimization
A Ayari, S Bouamama - Robotics and biomimetics, 2017 - Springer
Multiple robot systems have become a major study concern in the field of robotic research.
Their control becomes unreliable and even infeasible if the number of robots increases. In …
Their control becomes unreliable and even infeasible if the number of robots increases. In …
Dynamic Distributed PSO joints elites in Multiple Robot Path Planning Systems: theoretical and practical review of new ideas
A Asma, B Sadok - Procedia computer science, 2017 - Elsevier
Path planning problem for large number of robots is a quite challenging problem in mobile
robotics since their control and coordination becomes unreliable and sometimes unfeasible …
robotics since their control and coordination becomes unreliable and sometimes unfeasible …
An improved indirect adaptive neural control performance based on MOPSO approach: An experimental validation via a transesterification reactor
R Hamza, A Zribi, Y Farhat - Transactions of the Institute of …, 2024 - journals.sagepub.com
This paper proposes an indirect adaptive control method based on recurrent neural
networks. To achieve satisfactory closed-loop performances, a neural emulator (NE) and a …
networks. To achieve satisfactory closed-loop performances, a neural emulator (NE) and a …
ECG-based driver stress levels detection system using hyperparameter optimization
Stress and driving are a dangerous combination which can lead to crashes, as evidenced by
the large number of road traffic crashes that involve stress. Motivated by the need to address …
the large number of road traffic crashes that involve stress. Motivated by the need to address …
Driver stress levels detection system using hyperparameter optimization
Stress and driving are a dangerous combination which can lead to crashes, as evidenced by
the large number of road traffic crashes that involve stress. Therefore, it is essential to build a …
the large number of road traffic crashes that involve stress. Therefore, it is essential to build a …