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CIES 2014: Orlando, FL, USA
- 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, CIES 2014, Orlando, FL, USA, December 9-12, 2014. IEEE 2014, ISBN 978-1-4799-4510-8
CIES'14 Session 1: Theories and Designs
- Quentin Brefort, Luc Jaulin, Martine Ceberio, Vladik Kreinovich:
If we take into account that constraints are soft, then processing constraints becomes algorithmically solvable. 1-10 - Afshin Gholamy, Vladik Kreinovich:
Why Ricker wavelets are successful in processing seismic data: Towards a theoretical explanation. 11-16 - Joachim van der Herten
, Dirk Deschrijver
Fuzzy local linear approximation-based sequential design. 17-21 - Sufian Sudeng, Naruemon Wattanapongsakorn:
Incorporating decision maker preference in multiobjective evolutionary algorithm. 22-29 - Andrew R. Buck, James M. Keller:
Visualizing uncertainty with fuzzy rose diagrams. 30-36
CIES'14 Session 2: Machines and Micro-machines
- Won-Chul Jang, Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim, Hung Nguyen Ngoc:
Reliable condition monitoring of an induction motor using a genetic algorithm based method. 37-41 - David N. Coelho, Guilherme De A. Barreto
Performance comparison of classifiers in the detection of short circuit incipient fault in a three-phase induction motor. 42-48 - Gerardo Beruvides
Artificial intelligence-based modelling and optimization of microdrilling processes. 49-53 - Fernando Castaño
Application of hybrid incremental modeling for predicting surface roughness in micromachining processes. 54-59 - Kailiang Xu, Gang Zheng, Sha Liu:
A tabu-search algorithm for two-machine flow-shop with controllable processing times. 60-66
CIES'14 Session 3: Applications I
- Jin Huang, Xibin Zhao, Xinjie Chen, Jia-Guang Sun, Qinwen Yang:
From offline to onboard system solution for a control sequence optimization problem. 67-73 - Sanju Saini
GA optimized time delayed feedback control of chaos in a memristor based chaotic circuit. 74-80 - Vladimir Stankovic
A graph-based signal processing approach for low-rate energy disaggregation. 81-87 - Sansiri Tarnpradab
Neural networks for prediction of stream flow based on snow accumulation. 88-94 - Mohamed Layouni, Sofiène Tahar, Mohamed Salah Hamdi:
A survey on the application of Neural Networks in the safety assessment of oil and gas pipelines. 95-102
CIES'14 Session 4: Applications II
- Seth J. Meyerson, William E. Whiteside, Thomas E. Drapela
Finding longest paths in hypercubes, snakes and coils. 103-109 - Lingyu Lyu, Mehmed M. Kantardzic
Solar irradiance forecasting by using wavelet based denoising. 110-116 - Liam A. Comerford, Michael Beer
Compressive sensing based power spectrum estimation from incomplete records by utilizing an adaptive basis. 117-124
CIES'14 Session 5: Applications III
- Claire L. Roberts-Thomson, Anatole M. Lokshin, Vitaly A. Kuzkin
Jump detection using fuzzy logic. 125-131 - John R. Auten, Robert J. Hammell:
Predicting the perforation capability of Kinetic Energy Projectiles using artificial neural networks. 132-139 - Shawn Eastwood, Svetlana N. Yanushkevich
Risk profiler in automated human authentication. 140-147
CIES'14 Session 6: Energy Systems
- Ronaldo R. B. de Aquino, Otoni Nóbrega Neto, Ramon B. Souza, Milde M. S. Lira, Manoel A. Carvalho, Teresa Bernarda Ludermir, Aida Araujo Ferreira
Investigating the use of Echo State Networks for prediction of wind power generation. 148-154 - Helton do Nascimento Alves, Railson Severiano de Sousa:
A Multi-Population Genetic Algorithm to solve multi-objective remote switches allocation problem in distribution networks. 155-162 - Carolina Gil Marcelino
An evolutionary approach to improve efficiency for solving the electric dispatch problem. 163-170 - Jose Carlos R. Filho, Carolina de M. Affonso
Energy price forecasting in the North Brazilian market using NN - ARIMA model and explanatory variables. 171-175 - Michel Hell
Participatory learning in the neurofuzzy short-term load forecasting. 176-182
CIES'14 Session 7: Applications IV
- Vasileios Mygdalis
Video summarization based on Subclass Support Vector Data Description. 183-187 - Véronique M. Gomes
Determination of sugar content in whole Port Wine grape berries combining hyperspectral imaging with neural networks methodologies. 188-193
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