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Metrology

Overview of attention for book
Metrology
Springer Singapore

Table of Contents

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    Book Overview
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    Chapter 1 Towards a General Method for Logical Rule Extraction from Time Series
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    Chapter 2 A Principled Two-Step Method for Example-Dependent Cost Binary Classification
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    Chapter 3 Symbiotic Autonomous Systems with Consciousness Using Digital Twins
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    Chapter 4 Deep Support Vector Classification and Regression
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    Chapter 5 An Experimental Study on the Relationships Among Neural Codes and the Computational Properties of Neural Networks
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    Chapter 6 Uninformed Methods to Build Optimal Choice-Based Ensembles
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    Chapter 7 Design and Implementation of a Robotics Learning Environment to Teach Physics in Secondary Schools
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    Chapter 8 Multi-robot User Interface for Cooperative Transportation Tasks
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    Chapter 9 Precise Positioning and Heading for Autonomous Scouting Robots in a Harsh Environment
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    Chapter 10 Gesture Control Wearables for Human-Machine Interaction in Industry 4.0
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    Chapter 11 Computing the Missing Lexicon in Students Using Bayesian Networks
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    Chapter 12 Control of Transitory Take-Off Regime in the Transportation of a Pendulum by a Quadrotor
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    Chapter 13 Improving Scheduling Performance of a Real-Time System by Incorporation of an Artificial Intelligence Planner
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    Chapter 14 Convolutional Neural Networks for Olive Oil Classification
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    Chapter 15 An Indoor Illuminance Prediction Model Based on Neural Networks for Visual Comfort and Energy Efficiency Optimization Purposes
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    Chapter 16 Using Probabilistic Context Awareness in a Deliberative Planner System
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    Chapter 17 Combining Data-Driven and Domain Knowledge Components in an Intelligent Assistant to Build Personalized Menus
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    Chapter 18 Robust Heading Estimation in Mobile Phones
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    Chapter 19 Crowding Differential Evolution for Protein Structure Prediction
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    Chapter 20 Bacterial Resistance Algorithm. An Application to CVRP
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    Chapter 21 Conceptual Description of Nature-Inspired Cognitive Cities: Properties and Challenges
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    Chapter 22 Genetic Algorithm to Evolve Ensembles of Rules for On-Line Scheduling on Single Machine with Variable Capacity
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    Chapter 23 Multivariate Approach to Alcohol Detection in Drivers by Sensors and Artificial Vision
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    Chapter 24 Optimization of Bridges Reinforcements with Tied-Arch Using Moth Search Algorithm
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    Chapter 25 Repairing Infeasibility in Scheduling via Genetic Algorithms
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    Chapter 26 Application of Koniocortex-Like Networks to Cardiac Arrhythmias Classification
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    Chapter 27 Content Based Image Retrieval by Convolutional Neural Networks
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    Chapter 28 Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images
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    Chapter 29 Analysis of Dogs’s Abandonment Problem Using Georeferenced Multi-agent Systems
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    Chapter 30 Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders
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    Chapter 31 Deep Learning-Based Security System Powered by Low Cost Hardware and Panoramic Cameras
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    Chapter 32 Neuroacoustical Stimulation of Parkinson’s Disease Patients: A Case Study
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    Chapter 33 Evaluating Instability on Phonation in Parkinson’s Disease and Aging Speech
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    Chapter 34 Differentiation Between Ischemic and Heart Rate Related Events Using the Continuous Wavelet Transform
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    Chapter 35 Automatic Measurement of ISNT and CDR on Retinal Images by Means of a Fast and Efficient Method Based on Mathematical Morphology and Active Contours
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    Chapter 36 Bihemispheric Beta Desynchronization During an Upper-Limb Motor Task in Chronic Stroke Survivors
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    Chapter 37 Modeling and Estimation of Non-functional Properties: Leveraging the Power of QoS Metrics
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    Chapter 38 Machine-Health Application Based on Machine Learning Techniques for Prediction of Valve Wear in a Manufacturing Plant
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    Chapter 39 Artificial Semantic Memory with Autonomous Learning Applied to Social Robots
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    Chapter 40 A Showcase of the Use of Autoencoders in Feature Learning Applications
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    Chapter 43 Deep Ordinal Classification Based on the Proportional Odds Model
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    Chapter 44 Data Preprocessing for Automatic WMH Segmentation with FCNNs
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    Chapter 45 FER in Primary School Children for Affective Robot Tutors
Attention for Chapter 5: An Experimental Study on the Relationships Among Neural Codes and the Computational Properties of Neural Networks
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Chapter title
An Experimental Study on the Relationships Among Neural Codes and the Computational Properties of Neural Networks
Chapter number 5
Book title
Metrology
Published by
Springer, Cham, May 2019
DOI 10.1007/978-3-030-19651-6_5
Book ISBNs
978-9-81-104912-5, 978-3-03-019650-9, 978-3-03-019651-6
Authors

Sergio Miguel-Tomé, Miguel-Tomé, Sergio

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