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Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings, Part I |
Paulo Moura Oliveira; Paulo Novais; Luís Paulo Reis
Springer International Publishing
Progress in Artificial Intelligence: 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3–6, 2019, Proceedings, Part I
Maximum Search Limitations: Boosting Evolutionary Particle Swarm Optimization Exploration
Authors

Mário Serra Neto; Marco Mollinetti; Vladimiro Miranda; Leonel Carvalho

ARI Id

1665211044274_5380849

Access

Not Available Free

Pages

712-723

DOI

10.1007/978-3-030-30241-2_59

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-30241-2_59

Table of Contents of Book
Showing 1 to 20 of 75 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
i-xl
Front Matter
1-1
A Data Mining Approach Applied to the High School National Examination: Analysis of Aspects of Candidates to Brazilian Universities
Diego de Castro Rodrigues; Márcio Dias de Lima; Marcos Dias da Conceição; Vilson Soares de Siqueira; Rommel M. Barbosa
3-14
Between Clones and Snow-Flakes: Personalization in Intelligent Tutoring Systems
Francisco Azeiteiro; Manuel Lopes
15-26
Student Attention Evaluation System Using Machine Learning for Decision Making
Dalila Durães
27-34
Combining Sentiment Analysis Scores to Improve Accuracy of Polarity Classification in MOOC Posts
Herbert Laroca Pinto; Vitor Rocio
35-46
Front Matter
47-47
Reinforcement Learning in Multi-agent Games: Open AI Gym Diplomacy Environment
Diogo Cruz; José Aleixo Cruz; Henrique Lopes Cardoso
49-60
Voxel Based Pathfinding with Jumping for Games
Gabriel Silva; Gustavo Reis; Carlos Grilo
61-72
A Reliable Information Acquisition Model for D&D Players
João Gabriel Gama Vila Nova; Marcos Vinícius Carneiro Vital; Roberta Vilhena Vieira Lopes
73-85
Solving Motion and Action Planning for a Cooperative Agent Problem Using Geometry Friends
Ana Salta; Rui Prada; Francisco Melo
86-97
Spatio-Temporal Attention Deep Recurrent Q-Network for POMDPs
Mariano Etchart; Pawel Ladosz; David Mulvaney
98-105
Front Matter
107-107
Vineyard Segmentation from Satellite Imagery Using Machine Learning
Luís Santos; Filipe N. Santos; Vitor Filipe; Pranjali Shinde
109-120
Estimation of Vineyard Productivity Map Considering a Cost-Effective LIDAR-Based Sensor
Pedro Moura; Daniela Ribeiro; Filipe Neves dos Santos; Alberto Gomes; Ricardo Baptista; Mario Cunha
121-133
An Image-Based Deep Learning Model for Cannabis Diseases, Nutrient Deficiencies and Pests Identification
Konstantinos P. Ferentinos; Myrto Barda; Dave Damer
134-145
Detection of Tomato Flowers from Greenhouse Images Using Colorspace Transformations
Manya Afonso; Angelo Mencarelli; Gerrit Polder; Ron Wehrens; Dick Lensink; Nanne Faber
146-155
Metbots: Metabolomics Robots for Precision Viticulture
R. C. Martins; S. Magalhães; P. Jorge; T. Barroso; F. Santos
156-166
Nature Inspired Metaheuristics and Their Applications in Agriculture: A Short Review
Jorge Miguel Mendes; Paulo Moura Oliveira; Filipe Neves dos Santos; Raul Morais dos Santos
167-179
On KNoT Meta-Platform for IoT-Based Control of Storage Grains
João Gabriel Quaresma de Almeida; Josenalde Oliveira; José Boaventura-Cunha
180-185
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 75 entries
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