Applied computer sciences in engineering : 8th Workshop on Engineering Applications, WEA 2021, Medellín, Colombia, October 6-8, 2021, proceedings

Applied computer sciences in engineering : 8th Workshop on Engineering Applications, WEA 2021, Medellín, Colombia, October 6-8, 2021, proceedings / Juan Carlos Figueroa-García, Yesid Díaz-Gutierrez, Elvis Eduardo Gaona-García, Alvaro David Orjuela-Cañón (eds.).

This volume constitutes the refereed proceedings of the 8th Workshop on Engineering Applications, WEA 2021, held in Medellin, Colombia, in October 2021. Due to the COVID-19 pandemic the conference was held in a hybrid mode. The 33 revised full papers and 11 short papers presented in this volume were...

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Bibliographic Details
Corporate Author: Workshop on Engineering Applications Medellín, Colombia
Other Authors: Figueroa-García, Juan Carlos, Díaz-Gutierrez, Yesid, Gaona-García, Elvis Eduardo, Orjuela-Cañón, Alvaro David
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, 2021.
Series:Communications in computer and information science ; 1431.
Subjects:
Computer science > Congresses.
Engineering > Data processing > Congresses.
Computer science
Engineering > Data processing
Electronic books.
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Online Access:Click for online access
Table of Contents:
  • 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

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