Linked e-resources
Details
Table of Contents
Intro
Preface
Organization
Contents
Artificial Intelligence
Recognition and Classification of Cardiac Arrhythmias Using Discrete Wavelet Transform (DWT) and Machine Learning Techniques
1 Introduction
2 Methodology
2.1 MIT-BIH Arrhythmia Database
2.2 Preprocessing
2.3 ECG Beat Segmentation
2.4 Feature Extraction
2.5 Classification
2.6 Experimental Design
3 Results
3.1 Discussions
4 Conclusions
References
Artificial Firefly Meta-heuristic Used for the Optimization of a Fractional PID on an ARM Platform
1 Introduction
2 Method
2.1 Data Acquisition and System Identification
2.2 Tuning by Using the FA Algorithm
3 Results
3.1 Continuous-Time FOPID Controller Tuned by FA
3.2 Discrete-Time FOPID Controller Tuned by FA
3.3 Statistical Analysis with Performance Indexes (ITAE) Between Fomcon Optimized FOPID Controller and FA Tuned FOPID Using Wilcoxon Test
4 Discussion
5 Conclusions
References
A Convolutional Neural Network-Based Web Prototype to Support COVID-19 Detection Using Chest X-rays
1 Introduction
2 Methodology
3 Materials and Background
4 Data Mining: Experimental Phase and Results
4.1 Business Understanding Phase
4.2 Data Understanding Phase
4.3 Data Preparation Phase
4.4 Modeling Phase
4.5 Test and Evaluation Phase
5 Prototype Development and Results
6 Comparison with Related Works
7 Conclusions
References
Chatbots and Its Impact on the Information Support Service for Students of the Faculty of Computer Science of the Technical University of Manabí
1 Introduction
2 Materials and Methods
2.1 Use of Chatbots in Higher Education Institutions
2.2 Chatbots and Their Importance in University Communication
2.3 Conversational Protocol
2.4 A Session with @MGUTMbot
2.5 Architecture
2.6 Implementation
3 Results
3.1 Ease of Learning
3.2 Memorization Capacity
3.3 Efficiency of Use
3.4 Error Prevention
3.5 Satisfaction
4 Conclusions
References
Neural Networks on Noninvasive Electrocardiographic Imaging Reconstructions: Preliminary Results
1 Introduction
2 Materials and Methods
2.1 Experimental Dataset
2.2 Preprocessing the Data Set
2.3 Inverse Mapping Methods
3 Results
4 Conclusions
Preface
Organization
Contents
Artificial Intelligence
Recognition and Classification of Cardiac Arrhythmias Using Discrete Wavelet Transform (DWT) and Machine Learning Techniques
1 Introduction
2 Methodology
2.1 MIT-BIH Arrhythmia Database
2.2 Preprocessing
2.3 ECG Beat Segmentation
2.4 Feature Extraction
2.5 Classification
2.6 Experimental Design
3 Results
3.1 Discussions
4 Conclusions
References
Artificial Firefly Meta-heuristic Used for the Optimization of a Fractional PID on an ARM Platform
1 Introduction
2 Method
2.1 Data Acquisition and System Identification
2.2 Tuning by Using the FA Algorithm
3 Results
3.1 Continuous-Time FOPID Controller Tuned by FA
3.2 Discrete-Time FOPID Controller Tuned by FA
3.3 Statistical Analysis with Performance Indexes (ITAE) Between Fomcon Optimized FOPID Controller and FA Tuned FOPID Using Wilcoxon Test
4 Discussion
5 Conclusions
References
A Convolutional Neural Network-Based Web Prototype to Support COVID-19 Detection Using Chest X-rays
1 Introduction
2 Methodology
3 Materials and Background
4 Data Mining: Experimental Phase and Results
4.1 Business Understanding Phase
4.2 Data Understanding Phase
4.3 Data Preparation Phase
4.4 Modeling Phase
4.5 Test and Evaluation Phase
5 Prototype Development and Results
6 Comparison with Related Works
7 Conclusions
References
Chatbots and Its Impact on the Information Support Service for Students of the Faculty of Computer Science of the Technical University of Manabí
1 Introduction
2 Materials and Methods
2.1 Use of Chatbots in Higher Education Institutions
2.2 Chatbots and Their Importance in University Communication
2.3 Conversational Protocol
2.4 A Session with @MGUTMbot
2.5 Architecture
2.6 Implementation
3 Results
3.1 Ease of Learning
3.2 Memorization Capacity
3.3 Efficiency of Use
3.4 Error Prevention
3.5 Satisfaction
4 Conclusions
References
Neural Networks on Noninvasive Electrocardiographic Imaging Reconstructions: Preliminary Results
1 Introduction
2 Materials and Methods
2.1 Experimental Dataset
2.2 Preprocessing the Data Set
2.3 Inverse Mapping Methods
3 Results
4 Conclusions