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Engineering Applications of Artificial Intelligence, Volume 57
Volume 57, January 2017
- Xinghua Qu, Ran Zhang, Bo Liu
, Huifeng Li:
An improved TLBO based memetic algorithm for aerodynamic shape optimization. 1-15 - Sun-Joong Kim, Ji-Hyun Lee:
A study on metadata structure and recommenders of biological systems to support bio-inspired design. 16-41 - Alireza Moayedikia, Kok-Leong Ong, Yee Ling Boo
, William G. S. Yeoh
, Richard Jensen
:
Feature selection for high dimensional imbalanced class data using harmony search. 38-49 - Alex S. Silva, Ricardo C. dos Santos, Fernando B. Bottura, Mário Oleskovicz
:
Development and evaluation of a prototype for remote voltage monitoring based on artificial neural networks. 50-60 - Chao Lu
, Liang Gao
, Xinyu Li, Shengqiang Xiao:
A hybrid multi-objective grey wolf optimizer for dynamic scheduling in a real-world welding industry. 61-79 - Matej Rojc, Izidor Mlakar
, Zdravko Kacic:
The TTS-driven affective embodied conversational agent EVA, based on a novel conversational-behavior generation algorithm. 80-104 - Yang Hu, Thomas Palmé, Olga Fink
:
Fault detection based on signal reconstruction with Auto-Associative Extreme Learning Machines. 105-117 - Adeniyi Abdulrasheed Babalola, Rabie Belkacemi, Sina Zarrabian, Robert Craven:
Adaptive Immune System reinforcement Learning-Based algorithm for real-time Cascading Failures prevention. 118-133 - Jerzy Kowalski
, Bartosz Krawczyk, Michal Wozniak
:
Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble. 134-141 - Palvinder Singh Mann
, Satvir Singh
:
Improved metaheuristic based energy-efficient clustering protocol for wireless sensor networks. 142-152 - Dezhi Li
, Wilson Wang, Fathy Ismail:
A regulated boosting technique for material fatigue property prognostics. 153-159 - Kar Hoou Hui, Meng Hee Lim, Mohd Salman Leong, Salah Mahdi Al-Obaidi:
Dempster-Shafer evidence theory for multi-bearing faults diagnosis. 160-170 - Arian Hafezalkotob
, Ashkan Hafezalkotob
:
Interval target-based VIKOR method supported on interval distance and preference degree for machine selection. 184-196
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