Engineering Applications of Neural Networks

1. Front Matter

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2. Fuzzy Inference ANN Ensembles for Air Pollutants Modeling in a Major Urban Area: The Case of Athens

   • Ilias Bougoudis, Lazaros Iliadis, Antonis Papaleonidas

   Pages 1-14

3. Remarks on Computational Facial Expression Recognition from HOG Features Using Quaternion Multi-layer Neural Network

   • Kazuhiko Takahashi, Sae Takahashi, Yunduan Cui, Masafumi Hashimoto

   Pages 15-24

4. Classification of Database by Using Parallelization of Algorithms Third Generation in a GPU

   • Israel Tabarez Paz, Neil Hernández Gress, Miguel González Mendoza

   Pages 25-38

5. An Iterative Feature Filter for Sensor Timeseries in Pervasive Computing Applications

   • Davide Bacciu

   Pages 39-48

6. Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields

   • Bruno S. Faiçal, Gustavo Pessin, Geraldo P. R. Filho, Gustavo Furquim, André C. P. L. F. de Carvalho, Jó Ueyama

   Pages 49-58

7. Fuzzy-Logic Decision Fusion for Nonintrusive Early Detection of Driver Fatigue or Drowsiness

   • Mario Malcangi

   Pages 59-70

8. Neural Trade-Offs among Specialist and Generalist Neurons in Pattern Recognition

   • Aarón Montero, Ramón Huerta, Francisco B. Rodríguez

   Pages 71-80

9. Classification of Events in Switch Machines Using Bayes, Fuzzy Logic System and Neural Network

   • Eduardo Aguiar, Fernando Nogueira, Renan Amaral, Diego Fabri, Sérgio Rossignoli, José Geraldo Ferreira et al.

   Pages 81-91

10. An Accurate Flood Forecasting Model Using Wireless Sensor Networks and Chaos Theory: A Case Study with Real WSN Deployment in Brazil

    • Gustavo Furquim, Rodrigo Mello, Gustavo Pessin, Bruno S. Faiçal, Eduardo M. Mendiondo, Jó Ueyama

    Pages 92-102

11. Regenerative Braking Control Strategy for Hybrid and Electric Vehicles Using Artificial Neural Networks

    • Sanketh S. Shetty, Orkun Karabasoglu

    Pages 103-112

12. Automatic Screening and Classification of Diabetic Retinopathy Fundus Images

    • Sarni Suhaila Rahim, Vasile Palade, James Shuttleworth, Chrisina Jayne

    Pages 113-122

13. Brain Neural Data Analysis Using Machine Learning Feature Selection and Classification Methods

    • Lachezar Bozhkov, Petia Georgieva, Roumen Trifonov

    Pages 123-132

14. Application of Neural Networks Solar Radiation Prediction for Hybrid Renewable Energy Systems

    • P. Chatziagorakis, C. Elmasides, G. Ch. Sirakoulis, I. Karafyllidis, I. Andreadis, N. Georgoulas et al.

    Pages 133-144

15. A New User Similarity Computation Method for Collaborative Filtering Using Artificial Neural Network

    • Noman Bin Mannan, Sheikh Muhammad Sarwar, Najeeb Elahi

    Pages 145-154

16. Probabilistic Models Based Intrusion Detection Using Sequence Characteristics in Control System Communication

    • Takashi Onoda

    Pages 155-164

17. Compressive ELM: Improved Models through Exploiting Time-Accuracy Trade-Offs

    • Mark van Heeswijk, Amaury Lendasse, Yoan Miche

    Pages 165-174

18. Detecting Port Scans against Mobile Devices with Neural Networks and Decision Trees

    • Christo Panchev, Petar Dobrev, James Nicholson

    Pages 175-182

19. Categorization and Construction of Rule Based Systems

    • Han Liu, Alexander Gegov, Frederic Stahl

    Pages 183-194

20. Tiling of Satellite Images to Capture an Island Object

    • Ahmet Sayar, Süleyman Eken, Umit Mert

    Pages 195-204

This volume constitutes the refereed proceedings of the 15th International Conference on Engineering Applications of Neural Networks, EANN 2014, held in Sofia, Bulgaria, in September 2014. The 18 revised full papers presented together with 5 short papers were carefully reviewed and selected from 37 submissions. The papers demonstrate a variety of applications of neural networks and other computational intelligence approaches to challenging problems relevant to society and the economy. These include areas such as: environmental engineering, facial expression recognition, classification with parallelization algorithms, control of autonomous unmanned aerial vehicles, intelligent transport, flood forecasting, classification of medical images, renewable energy systems, intrusion detection, fault classification and general engineering.

• UAV
• artificial neural networks
• artificial neural networks
• classification models
• classification models
• computational intelligence
• computational intelligence
• computing methodologies
• computing methodologies
• engineering models
• engineering models
• forecasting models
• forecasting models
• fuzzy neural network
• image analysis
• machine learning
• network models
• pattern recognition
• support vector machines

• Dept. of Theoretical Electrical Engineering, Technical University of Sofia, Sofia, Bulgaria

  Valeri Mladenov

• Faculty of Engineering and Computing, Coventry University, UK

  Chrisina Jayne

• Department of Forestry and Management of the Environment, Democritus University of Thrace, Orestiada, Greece

  Lazaros Iliadis

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