Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)

Optimizing a Bi-objective Vehicle Routing Problem Appearing in Industrial Enterprises

Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) ◽

10.1007/978-3-030-20055-8_43 ◽

2019 ◽

pp. 452-462

Author(s):

Ana D. López-Sánchez ◽

Alfredo G. Hernández-Díaz ◽

Julián Molina ◽

Manuel Laguna

Keyword(s):

Vehicle Routing ◽

Vehicle Routing Problem ◽

Routing Problem ◽

Industrial Enterprises

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An Efficient Soft Computing Approach for Solving the Two-Stage Transportation Problem with Fixed Costs

Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) ◽

10.1007/978-3-030-20055-8_50 ◽

2019 ◽

pp. 523-532 ◽

Cited By ~ 1

Author(s):

Ovidiu Cosma ◽

Petrica Pop ◽

Ioana Zelina

Keyword(s):

Soft Computing ◽

Transportation Problem ◽

Fixed Costs ◽

Two Stage ◽

Computing Approach

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One-Class Classification to Predict the Success of Private-Participation Infrastructure Projects in Europe

Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) ◽

10.1007/978-3-030-20055-8_42 ◽

2019 ◽

pp. 443-451 ◽

Cited By ~ 1

Author(s):

Álvaro Herrero ◽

Alfredo Jiménez

Keyword(s):

Infrastructure Projects ◽

Private Participation ◽

One Class Classification

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A Novel Heuristic Approach for the Simultaneous Selection of the Optimal Clustering Method and Its Internal Parameters for Time Series Data

Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) ◽

10.1007/978-3-030-20055-8_17 ◽

2019 ◽

pp. 179-189 ◽

Cited By ~ 1

Author(s):

Adriana Navajas-Guerrero ◽

Diana Manjarres ◽

Eva Portillo ◽

Itziar Landa-Torres

Keyword(s):

Time Series ◽

Time Series Data ◽

Heuristic Approach ◽

Series Data ◽

Clustering Method ◽

Internal Parameters ◽

Simultaneous Selection ◽

Selection Of

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Data Selection to Improve Anomaly Detection in a Component-Based Robot

Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) ◽

10.1007/978-3-030-20055-8_23 ◽

2019 ◽

pp. 241-250

Author(s):

Nuño Basurto ◽

Álvaro Herrero

Keyword(s):

Anomaly Detection ◽

Data Selection

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Context-Aware Data Mining vs Classical Data Mining: Case Study on Predicting Soil Moisture

Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) ◽

10.1007/978-3-030-20055-8_19 ◽

2019 ◽

pp. 199-208 ◽

Cited By ~ 3

Author(s):

Anca Avram ◽

Oliviu Matei ◽

Camelia-M. Pintea ◽

Petrica C. Pop ◽

Carmen Ana Anton

Keyword(s):

Data Mining ◽

Soil Moisture ◽

Context Aware

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Addressing Low Dimensionality Feature Subset Selection: ReliefF(-k) or Extended Correlation-Based Feature Selection(eCFS)?

Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) ◽

10.1007/978-3-030-20055-8_24 ◽

2019 ◽

pp. 251-260 ◽

Cited By ~ 1

Author(s):

Antonio J. Tallón-Ballesteros ◽

Luís Cavique ◽

Simon Fong

Keyword(s):

Feature Selection ◽

Subset Selection ◽

Feature Subset Selection ◽

Feature Subset ◽

Low Dimensionality ◽

Correlation Based Feature Selection

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Feature Clustering to Improve Fall Detection: A Preliminary Study

Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) ◽

10.1007/978-3-030-20055-8_21 ◽

2019 ◽

pp. 219-228 ◽

Cited By ~ 2

Author(s):

Mirko Fáñez ◽

José Ramón Villar ◽

Enrique de la Cal ◽

Víctor M. González ◽

Javier Sedano

Keyword(s):

Fall Detection ◽

Feature Clustering ◽

Preliminary Study

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An Introduction to Some Methods for Soft Computing in Fluid Dynamics

Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) ◽

10.1007/978-3-030-20055-8_53 ◽

2019 ◽

pp. 557-566

Author(s):

Soledad Le Clainche

Keyword(s):

Fluid Dynamics ◽

Soft Computing

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Acoustic Anomaly Detection Using Convolutional Autoencoders in Industrial Processes

Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) ◽

10.1007/978-3-030-20055-8_41 ◽

2019 ◽

pp. 432-442 ◽

Cited By ~ 1

Author(s):

Taha Berkay Duman ◽

Barış Bayram ◽

Gökhan İnce

Keyword(s):

Anomaly Detection ◽

Industrial Processes ◽

Acoustic Anomaly

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Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)
Latest Publications

TOTAL DOCUMENTS

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Published By Springer International Publishing

Optimizing a Bi-objective Vehicle Routing Problem Appearing in Industrial Enterprises

An Efficient Soft Computing Approach for Solving the Two-Stage Transportation Problem with Fixed Costs

One-Class Classification to Predict the Success of Private-Participation Infrastructure Projects in Europe

A Novel Heuristic Approach for the Simultaneous Selection of the Optimal Clustering Method and Its Internal Parameters for Time Series Data

Data Selection to Improve Anomaly Detection in a Component-Based Robot

Context-Aware Data Mining vs Classical Data Mining: Case Study on Predicting Soil Moisture

Addressing Low Dimensionality Feature Subset Selection: ReliefF(-k) or Extended Correlation-Based Feature Selection(eCFS)?

Feature Clustering to Improve Fall Detection: A Preliminary Study

An Introduction to Some Methods for Soft Computing in Fluid Dynamics

Acoustic Anomaly Detection Using Convolutional Autoencoders in Industrial Processes

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Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Optimizing a Bi-objective Vehicle Routing Problem Appearing in Industrial Enterprises

An Efficient Soft Computing Approach for Solving the Two-Stage Transportation Problem with Fixed Costs

One-Class Classification to Predict the Success of Private-Participation Infrastructure Projects in Europe

A Novel Heuristic Approach for the Simultaneous Selection of the Optimal Clustering Method and Its Internal Parameters for Time Series Data

Data Selection to Improve Anomaly Detection in a Component-Based Robot

Context-Aware Data Mining vs Classical Data Mining: Case Study on Predicting Soil Moisture

Addressing Low Dimensionality Feature Subset Selection: ReliefF(-k) or Extended Correlation-Based Feature Selection(eCFS)?

Feature Clustering to Improve Fall Detection: A Preliminary Study

An Introduction to Some Methods for Soft Computing in Fluid Dynamics

Acoustic Anomaly Detection Using Convolutional Autoencoders in Industrial Processes

Advances in Intelligent Systems and Computing - 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)
Latest Publications