Intro
Preface
Organization
Contents
Computational Intelligence
Can Communication Topology Improve a Multi-swarm PSO Algorithms?
1 Introduction
2 State of the Art
3 Proposed Method
3.1 EvoSwarm
3.2 Proposed Communication Topologies for EvoSwarm
4 Experimental Setup and Results
4.1 Benchmark Functions
4.2 Experimental Results
5 Conclusions
References
Solving Dynamical Systems Using Windows of Sliding Subproblems
1 Introduction
2 Background
2.1 Dynamical Systems
2.2 Traditional Methods
2.3 Interval Methods

2.4 Step-Based or Constraint-Based?
3 Problem Statement and Proposed Approach
4 Experimental Results and Analysis
4.1 Methodology
4.2 Experiments
4.3 Results Analysis
5 Conclusions and Future Work
References
Landslide Susceptibility Model by Means of Remote Sensing Images and AutoML
1 Introduction
2 Study Area
3 Image Data
4 Materials and Methods
4.1 Ground Truth Data
4.2 Structured Data (Input for the AutoML Model)
4.3 AutoML Model
5 Results and Discussion
6 Conclusion
References
Fake Speech Recognition Using Deep Learning

1 Introduction
2 Data Preparation and Modelling
2.1 Data Preparation
2.2 Modelling
3 Results
3.1 Experimental Settings
3.2 Performance of the Custom Model: Training, Validation and Testing
3.3 Custom Model vs. State-of-the-Art
4 Conclusion
References
Automatic Classification of Energy Consumption Profiles in Processes of the Oil & Gas Industry in Colombia
1 Introduction
2 Methodology
2.1 Database Description
2.2 Feature Extraction
2.3 Statistical Tests
Based Feature Selection
2.4 Hyper-Parameters Optimization
2.5 Automatic Classification

3 Experiments and Results
3.1 Experiment 1: Extraction vs. Transport
3.2 Experiment 2: Transport vs. ``Other''
4 Conclusions
References
Organizational Online Reputation Measurement Through Natural Language Processing and Sentiment Analysis Techniques
1 Introduction
2 Materials and Methods
2.1 Reputation Dimensions
2.2 Methodology Selection
2.3 Materials
3 Results and Discussion
3.1 Methodology M1
3.2 Methodology M2
3.3 Methodology M3
4 Conclusions and Future Works
References
Robust Automatic Speech Recognition for Call Center Applications

1 Introduction
2 Related Works
3 Databases
3.1 KONECTADB
3.2 Demand Noise Dataset (DND)
3.3 Data Augmentation
4 Methodology
4.1 Training Stage
4.2 Test Stage
5 Results
5.1 Results of Acoustic Model
5.2 Results of Denoising Process
6 Conclusions and Future Work
References
Dynamic Recognition and Classification of Trajectories in SLRecon Adopted Artificial Intelligence in Kinect
1 Introduction
1.1 Sign Language
1.2 3D Sensor
1.3 Artificial Intelligence
2 Materials and Methods
2.1 Hardware
2.2 Software
3 Results
4 Conclusions