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Advances in Artificial Intelligence; Lecture Notes in Computer Science ,
1
Deep Variational Auto-Encoder for Model-Based Water Quality..:
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Studies in Big Data; Innovations in Machine and Deep Learning ,
2
Anomaly Detection in Low-Cost Sensors in Agricultural Appli..:
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Studies in Computational Intelligence; Mobile Robot: Motion Control and Path Planning ,
3
Deep Reinforcement Learning Applied to Multi-agent Informat..:
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Studies in Big Data; Innovations in Machine and Deep Learning ,
4
Convolutional Neural Networks for Planting System Detection..:
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Studies in Computational Intelligence; Mobile Robot: Motion Control and Path Planning ,
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Monitoring Peak Pollution Points of Water Resources with Au..:
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Studies in Big Data; Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications ,
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Performance Evaluation of AquaFeL-PSO Informative Path Plan..:
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2022 7th International Conference on Machine Learning Technologies (ICMLT) ,
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A Comparison of PSO-Based Informative Path Planners for Aut..:
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2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) ,
8
Performance Comparison of PSO-based Informative Path Planne..:
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2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI) ,
9
A Deep Reinforcement Learning Approach for Non-homogeneous ..:
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Communications in Computer and Information Science; Optimization and Learning ,
10
Maximum Information Coverage and Monitoring Path Planning w..:
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Proceedings of the Genetic and Evolutionary Computation Conference Companion ,
11
Multi-objective path planning for environmental monitoring ..:
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2021 IEEE Congress on Evolutionary Computation (CEC) ,
12
Monitoring Water Resources through a Bayesian Optimization-..:
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2021 IEEE Congress on Evolutionary Computation (CEC) ,
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A Genetic Algorithm To Optimize Penstocks For Micro-Hydro P..:
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2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) ,
14
Development of a Simulator for the Study of Path Planning o..:
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Intelligent Computing Methodologies; Lecture Notes in Computer Science ,
15