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Handbook on Decision Making

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Cover of 'Handbook on Decision Making'

Table of Contents

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    Book Overview
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    Chapter 1 A Vertical Fragmentation Method for Multimedia Databases Considering Content-Based Queries
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    Chapter 2 An Approach Based on Process Mining Techniques to Support Software Development
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    Chapter 3 Analysis of Canonical Heuristic Methods for the Optimization of an Investment Portfolio
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    Chapter 4 Design of a Dynamic Horizontal Fragmentation Method for Multimedia Databases
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    Chapter 5 Efficient Archiving Method for Handling Preferences in Constrained Multi-objective Evolutionary Optimization
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    Chapter 6 Evaluation of Machine Learning Techniques for Malware Detection
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    Chapter 7 Implementation of Reinforcement-Learning Algorithms in Autonomous Robot Navigation
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    Chapter 8 Trends on Decision Support Systems: A Bibliometric Review
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    Chapter 9 Use of Special Cases of Ontologies for Big Data Analysis in Decision Making Systems
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    Chapter 10 Multicriteria Decision Making Methods—A Review and Case of Study
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    Chapter 11 Bitcoin Price Forecasting Through Crypto Market Variables: Quantile Regression and Machine Learning Approaches
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    Chapter 12 Crops Classification in Small Areas Using Unmanned Aerial Vehicles (UAV) and Deep Learning Pre-trained Models from Detectron2
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    Chapter 13 Design and Evaluation of Strategies to Mitigate the Impact of Dengue in Healthcare Institutions Through Dynamic Simulation
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    Chapter 14 Detecting Arrhythmia Using the IoT Paradigm
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    Chapter 15 Emotion Detection in Learning Environments Using Facial Expressions: A Brief Review
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    Chapter 16 Face Recognition—Eigenfaces
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    Chapter 17 Genetic Algorithm for the Optimization of the Unequal-Area Facility Layout Problem
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    Chapter 18 Microsimulation Calibration Integrating Synthetic Population Generation and Complex Interaction Clusters to Evaluate COVID-19 Spread
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    Chapter 19 A Decision Support System for Container Handling Operations at a Seaport Terminal with Disturbances: Design and Concepts
Attention for Chapter 12: Crops Classification in Small Areas Using Unmanned Aerial Vehicles (UAV) and Deep Learning Pre-trained Models from Detectron2
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Chapter title
Crops Classification in Small Areas Using Unmanned Aerial Vehicles (UAV) and Deep Learning Pre-trained Models from Detectron2
Chapter number 12
Book title
Handbook on Decision Making
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-08246-7_12
Book ISBNs
978-3-03-108245-0, 978-3-03-108246-7
Authors

Restrepo-Arias, Juan Felipe, Arregocés-Guerra, Paulina, Branch-Bedoya, John Willian

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Unspecified 1 13%
Lecturer 1 13%
Unknown 4 50%
Readers by discipline Count As %
Environmental Science 1 13%
Computer Science 1 13%
Earth and Planetary Sciences 1 13%
Engineering 1 13%
Unknown 4 50%