Linked e-resources
Details
Table of Contents
Intro
Preface
Organization
Contents
Part II
Contents
Part I
Fuzzy Modeling and IoT
A Communication Data Layer for Distributed Neuromorphic Systems
1 Introduction
2 Neuromorphic Data Layer
2.1 Raw Spike API
2.2 Symbolic Representation API
2.3 Encoding of Integer Valued State Variables
2.4 Practical Integer Encoding and Decoding on Neuromorphic Hardware
3 Distributed Neuromorphic Prototype System
3.1 End-to-End Use-Case
3.2 Heterogeneity Aspects of the Prototype System
4 Visual Analysis and Data Layer on Loihi
5 Empirical Results
6 Conclusion
References
Brainstorming Fuzzy Cognitive Maps for Camera-Based Assistive Navigation
1 Introduction
2 Theoretical Background
2.1 Fuzzy Cognitive Maps
2.2 Determinative Brain Storm Optimization
3 Brainstorming Cognitive Maps
4 Experiments and Simulation Results
5 Conclusion
References
Creating a Bridge Between Probabilities and Fuzzy Sets and Its Impact on Drought Severity Assessment
1 Introduction
2 Fuzzy Methodology
2.1 Fuzzy Sets
2.2 Fuzzy Estimators
2.3 Proposed Methodology
3 Application and Discussion
4 Concluding Remarks
4 Empirical Analysis
4.1 Hyper-Parameter Tuning
4.2 Role of the Sliding Window Size
4.3 Role of the Multi-label Classification Method
5 Comparative Study
6 Conclusions and Future Work
References
A Primer for tinyML Predictive Maintenance: Input and Model Optimisation
1 Introduction
2 Related Work
3 Background of Applying tinyML
4 Model Optimisations
5 Input Optimisations
6 Conclusion
References
Allocating Orders to Printing Machines for Defect Minimization: A Comparative Machine Learning Approach
1 Introduction
2 Methodology and Algorithmic Approach
2.1 Available Dataset
2.2 Machine Selection Framework
2.3 ML Algorithms for Accuracy Prediction
3 Numerical Results
3.1 Training of the Multi-layer Perceptron
3.2 Ensemble Learning Techniques
3.3 Comparison Between ML Methods
3.4 Evaluation of the Proposed Machine Selection Policy
4 Conclusion
References
Bias in Face Image Classification Machine Learning Models: The Impact of Annotator's Gender and Race
1 Introduction
2 Background and Literature Review
2.1 Face Image Interpretation
Preface
Organization
Contents
Part II
Contents
Part I
Fuzzy Modeling and IoT
A Communication Data Layer for Distributed Neuromorphic Systems
1 Introduction
2 Neuromorphic Data Layer
2.1 Raw Spike API
2.2 Symbolic Representation API
2.3 Encoding of Integer Valued State Variables
2.4 Practical Integer Encoding and Decoding on Neuromorphic Hardware
3 Distributed Neuromorphic Prototype System
3.1 End-to-End Use-Case
3.2 Heterogeneity Aspects of the Prototype System
4 Visual Analysis and Data Layer on Loihi
5 Empirical Results
6 Conclusion
References
Brainstorming Fuzzy Cognitive Maps for Camera-Based Assistive Navigation
1 Introduction
2 Theoretical Background
2.1 Fuzzy Cognitive Maps
2.2 Determinative Brain Storm Optimization
3 Brainstorming Cognitive Maps
4 Experiments and Simulation Results
5 Conclusion
References
Creating a Bridge Between Probabilities and Fuzzy Sets and Its Impact on Drought Severity Assessment
1 Introduction
2 Fuzzy Methodology
2.1 Fuzzy Sets
2.2 Fuzzy Estimators
2.3 Proposed Methodology
3 Application and Discussion
4 Concluding Remarks
4 Empirical Analysis
4.1 Hyper-Parameter Tuning
4.2 Role of the Sliding Window Size
4.3 Role of the Multi-label Classification Method
5 Comparative Study
6 Conclusions and Future Work
References
A Primer for tinyML Predictive Maintenance: Input and Model Optimisation
1 Introduction
2 Related Work
3 Background of Applying tinyML
4 Model Optimisations
5 Input Optimisations
6 Conclusion
References
Allocating Orders to Printing Machines for Defect Minimization: A Comparative Machine Learning Approach
1 Introduction
2 Methodology and Algorithmic Approach
2.1 Available Dataset
2.2 Machine Selection Framework
2.3 ML Algorithms for Accuracy Prediction
3 Numerical Results
3.1 Training of the Multi-layer Perceptron
3.2 Ensemble Learning Techniques
3.3 Comparison Between ML Methods
3.4 Evaluation of the Proposed Machine Selection Policy
4 Conclusion
References
Bias in Face Image Classification Machine Learning Models: The Impact of Annotator's Gender and Race
1 Introduction
2 Background and Literature Review
2.1 Face Image Interpretation