The 6th International Conference on Soft Computing and Intelligent Systems
The 13th International Symposium on Advanced Intelligent Systems
Kobe Convention Center (Kobe Portopia Hotel)
November 20-24, 2012

Organized Session
Computational Intelligence & Machine Learning for Environmental Modelling & Informatics

Session Organizers:                                                 
Shinji Fukuda (Kyushu University, Japan) contact     
Bernard De Baets (Ghent University, Belgium)  
 
Our session has been scheduled as follows. 
Session ID: YN-1 
Date: November 21 (Wednesday)
Time: 10:20-12:25
Room: 403
 W1-43-1 Improvement of individual-based models for wild animals in river ecosystem Masatoshi DENDA, Public Works Research Institutes
 W1-43-2 GA-Based Simulation-Optimization Approach for Designing Fish Habitat in Canal Shigeya Maeda, Ibaraki University
 W1-43-3 Preference Based Modeling of Rheotaxis of Ayu (Plecoglossus Altivelis Altivelis) Rina Febrina, Yamaguchi University; Hiroyuki Noguchi, Yamaguchi University; Masahiko Sekine, Yamaguchi University; Ariyo Kanno, Yamaguchi University; Tsuyoshi Imai, Yamaguchi University; Takaya Higuchi, Yamaguchi University
W1-43-4 Road Curb Detection using 3D Lidar and Integral Laser Points for Intelligent Vehicles (Teleconference) Wentao Yao, Tsinghua University; Zhidong Deng, Tsinghua University; Lipu Zhou, Tsinghua University
 W1-43-5 A Short Review on the Application of Computational Intelligence and Machine Learning in the Bioenvironmental Sciences Shinji Fukuda, Kyushu University; Bernard De Baets, Ghent University
 Conference program (Click Here)     
Overview:  

Environmental modelling and informatics are the major approaches to understand the basic systems and functions in nature using process-based models and/or statistical (correlative) models. Application of advanced methods in computational intelligence and machine learning allows for a better description of environmental and ecological systems of which observed data usually contains uncertainties originating from data noise, missing value, measurement errors, high dimensionality, etc.

This organized session aims to bring together researchers, engineers and practitioners for sharing the recent achievements on the development and application of computational intelligence in the fields of environmental modelling and informatics. Particular interest will be directed towards the novel applications of computational intelligence and machine learning to the environmental and ecological studies. The interdisciplinary nature of this session will foster the advances in both theoretical and application research.

Topics of interest include, but are not limited to:

Ø  Application of machine learning and computational intelligence for environmental and ecological systems

Ø  Ecoinformatics

Ø  Hydroinformatics

Ø  Computer simulation of ecosystem behaviours and structures

Ø  Pattern recognition of ecological and environmental patterns

Ø  Bio-inspired computation for environmental and ecological systems

Ø  Application of artificial life, cellular automata and agent-based models

Ø  Knowledge extraction from environmental and ecological data

Ø  Image analysis and visualization of environmental and ecological data

Ø  Modelling, simulation and optimization of environmental and ecological systems

Ø  Model parameterization of environmental and ecological systems

Ø  Application of hybrid models and ensemble methods
Authors are invited to submit full paper(s) to this session. Please check the conference website for the latest information for paper submission