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Intelligent Systems

Overview of attention for book
Cover of 'Intelligent Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Multiobjective Evolutionary Algorithms Applied to the Optimization of Expanded Genetic Codes
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    Chapter 2 Genetic Algorithms with Optimality Cuts to the Max-Cut Problem
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    Chapter 3 Assessment of Robust Multi-objective Evolutionary Algorithms on Robust and Noisy Environments
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    Chapter 4 Binary Flying Squirrel Optimizer for Feature Selection
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    Chapter 5 Fitness Landscape Analysis of TPOT Using Local Optima Network
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    Chapter 6 Optimization Strategies for BERT-Based Named Entity Recognition
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    Chapter 7 FlexCon-CE: A Semi-supervised Method with an Ensemble-Based Adaptive Confidence
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    Chapter 8 Single Image Super-Resolution Based on Capsule Neural Networks
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    Chapter 9 Development of a Deep Learning Model for the Classification of Mosquito Larvae Images
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    Chapter 10 A Simple and Low-Cost Method for Leaf Surface Dimension Estimation Based on Digital Images
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    Chapter 11 Crop Row Line Detection with Auxiliary Segmentation Task
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    Chapter 12 Multiple Object Tracking in Native Bee Hives: A Case Study with Jataí in the Field
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    Chapter 13 An Open Source Eye Gaze Tracker System to Perform Remote User Testing Evaluations
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    Chapter 14 Who Killed the Winograd Schema Challenge?
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    Chapter 15 Sabiá: Portuguese Large Language Models
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    Chapter 16 Disambiguation of Universal Dependencies Part-of-Speech Tags of Closed Class Words in Portuguese
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    Chapter 17 Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain
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    Chapter 18 LegalBert-pt: A Pretrained Language Model for the Brazilian Portuguese Legal Domain
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    Chapter 19 A Framework for Controversial Political Topics Identification Using Twitter Data
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    Chapter 20 Leveraging Sign Language Processing with Formal SignWriting and Deep Learning Architectures
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    Chapter 21 A Clustering Validation Index Based on Semantic Description
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    Chapter 22 Detecting Multiple Epidemic Sources in Network Epidemics Using Graph Neural Networks
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    Chapter 23 Prediction of Cancer-Related miRNA Targets Using an Integrative Heterogeneous Graph Neural Network-Based Method
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    Chapter 24 Time Series Forecasting of COVID-19 Cases in Brazil with GNN and Mobility Networks
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    Chapter 25 Federated Learning and Mel-Spectrograms for Physical Violence Detection in Audio
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    Chapter 26 Police Report Similarity Search: A Case Study
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    Chapter 27 Evaluating Contextualized Embeddings for Topic Modeling in Public Bidding Domain
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    Chapter 28 A Tool for Measuring Energy Consumption in Data Stream Mining
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    Chapter 29 Improved Fuzzy Decision System for Energy Bill Reduction in the Context of the Brazilian White Tariff Scenario
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    Chapter 30 Exploring Artificial Intelligence Methods for the Automatic Measurement of a New Biomarker Aiming at Glaucoma Diagnosis
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    Chapter 31 Investigation of Deep Active Self-learning Algorithms Applied to Named Entity Recognition
Attention for Chapter 9: Development of a Deep Learning Model for the Classification of Mosquito Larvae Images
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Chapter title
Development of a Deep Learning Model for the Classification of Mosquito Larvae Images
Chapter number 9
Book title
Intelligent Systems
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-45392-2_9
Book ISBNs
978-3-03-145391-5, 978-3-03-145392-2
Authors

Martins, Ramon Mayor, Espíndola, Bruno Manarin, Araujo, Pedro Philippi, von Wangenheim, Christiane Gresse, de Carvalho Pinto, Carlos José, Caminha, Gisele

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 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 67%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Unspecified 2 67%
Computer Science 1 33%

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