Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applications, 20th International Conference (Lecture Notes in Networks and Systems, 742)

✍ Scribed by Esteban Jove (editor), Francisco Zayas-Gato (editor), Álvaro Michelena (editor), José Luis Calvo-Rolle (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 93
• Category: Library

✦ Synopsis

This book of LNNS contains accepted papers presented at DCAI conference in the Special Session on Intelligent Systems Applications (ISA), Guimarães (Portugal), July 2023. ISA is a major forum for presentation of development and applications of innovative techniques in the fields of building management, assistive technologies, the applied engineering, and industry. The scientific committee of the ISA has selected 8 full papers for its publication. This year ISA Special Session has teamed up with “Logic Journal of the IGPL” (Oxford University Press) for one special issue including selected papers from ISA Special Session 2023. We would like to thank all the contributing authors, the members of the Program Committee, the Organizing Committee of the Universities of Minho, and Salamanca for their hard and highly valuable work, which has been essential for the success of ISA 2023.

✦ Table of Contents

Preface
Organization
Contents
Hybrid Classification Model Based on Supervised Techniques for Denial of Service Attacks Detection over CoAP Protocol
1 Introduction
2 Case Study
3 Intelligent Techniques Implemented
3.1 Dimensional Reduction Techniques
3.2 Supervised Classification Techniques
4 Experiment Setup
4.1 Classifier Assessment
5 Results
6 Conclusions and Future Work
References
Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction
1 Introduction
2 Wastewater Treatment Plant Under Study
3 Applied Methods
3.1 Feature Selection
3.2 Regression Techniques
4 Experiments and Results
4.1 Experiment's Setup
4.2 Results
4.3 Analysis of Results
5 Conclusions and Future Work
References
Machine Learning Methods for Alarm Prediction in Industrial Informatics: Review and Benchmark
1 Introduction
2 Background
3 Related Work
3.1 Binary Classification Studies for Alarm Prediction
3.2 Multi-class Classification Studies for Alarm Prediction
3.3 Multi-label Classification Studies for Alarm Prediction
4 Benchmark
4.1 Experimental Setup
4.2 Results and Discussion
5 Open Issues for Alarm Prediction Applications
6 Conclusion
References
Impact of Autoencoder Latent Space on IoT CoAP Attack Categorization
1 Introduction
2 Case Study
3 Machine Learning Methods
3.1 Autoencoder as Feature Reduction
3.2 Decision Trees as Classification Method
4 Experiments
4.1 Methodology
4.2 Results and Discussion
5 Conclusions and Future Works
References
Imagelytics: A Deep Learning-Based Image Classification Tool to Support Bioassessment
1 Introduction
2 Related Work
3 Method Description
3.1 Imagelytics Application
3.2 Imagelytics Training Scripts
4 Results
5 Conclusions
References
Transiting Exoplanet Detection Through 1D Convolutional Neural Networks
1 Introduction
2 Materials and Methods
2.1 Convolutional Neural Networks. Our Model
2.2 Simulated K2 Light Curves the Train and Test Datasets
3 Model Training, Validation and Test. Results and Discussion
4 Conclusions
References
Comparative Study of Forecasting Techniques for Small Wind Turbine Power Generation by Meteorological Parameters
1 Introduction
2 Case Study
2.1 Sotavento Experimental Bioclimatic House
2.2 Dataset
3 Applied Methods
4 Experiment Setup and Results
4.1 Experiments Setup
4.2 Metrics
4.3 Results
5 Conclusions and Future Work
References
A Cooperative Decentralised Optimization Method for Vehicle Platooning
1 Introduction
2 Related Work
3 Method for Constructing Optimization Functions
4 Cooperative Platoon Optimization
4.1 Platooning Car Optimization
4.2 Platoon Velocity Optimization
4.3 Optimization Execution
5 Outlook
References
Author Index