Showing posts with label special session. Show all posts
Showing posts with label special session. Show all posts

Wednesday, May 8, 2024

Call for Papers: Special Session on AI and Game Production, ICONIP 2024

AI and Game Production
Artificial Intelligence is an integral element of game development, where AI has been an effective tool for compelling gameplay experiences such as the use of non-player characters or intelligent agents to enhance player experience and engagement by offering adaptive and/or responsive gameplay. The introduction of AI as a development tool to enhance the game production process is a fascinating prospect given how pivotal AI has become in diverse fields including but not limited to engineering, design, hospitality, marketing, or creative technologies. Although still in early days of adoption, the application of AI in game production spans from creating content, aiding in design and coding, planning, testing, analysing behaviour and even marketing. While the broad use of AI in games highlights the versatility of AI in addressing the creative and technical challenges of game production, it presents challenges such as ensuring ethical use of AI, and protecting data privacy and intellectual property,

Topics of interest include but they are not limited to:
  • The integration of generative AI in game production pipelines.
  • AI as a game design assistant.
  • AI as an art apprentice.
  • AI and the SDLC of games.
  • AI and game marketing and player acquisition.
  • Emotion AI-Affective computing and games.
  • Ethics and implications of the use of AI in game development/production.
We welcome contributions on explorations for the use of AI as a tool in any stage of game production. Some examples could be:
  • Case studies on development and/or integration of an AI tool into specific areas of game production.
  • Technical studies that focus on production and/or integration guidelines for specialised AI tools.
  • Training and/or fine-tuning strategies for language models.
  • Analysis or position papers discussing aspects of intellectual property concerning game development know-how, data privacy of companies, and implications of integrating AI into game production process.
This session includes a brief presentation by an invited speaker followed by a paper session to present the accepted manuscripts.

A special session of ICONIP 2024, to be held in Auckland, New Zealand 2-6 December, 2024.

Important Links
Main conference site: https://iconip2024.org/

Important Dates
Paper Submission Deadline: 7 June 2024
Notification of Acceptance: 26 July 2024
Camera Ready Submission: 30 August 2024
Registration Deadline: 30 August 2024
Conference Dates: 2-6 December 2024

Organisers
Samah Hassan Abd El Maksoud, Media Design School 
Asli Tece Bayrak, Media Design School 

Tuesday, May 7, 2024

Call for Papers: Special Session on AI in Environmental, Conservation and Geospatial Applications, ICONIP 2024

AI in Environmental, Conservation and Geospatial Applications
Artificial intelligence (AI) offers promising solutions to critical environmental challenges, including climate change modelling, energy efficiency improvement, landscape erosion prediction, invasive species management, and endangered species conservation. In this context, computer vision techniques, particularly Convolutional Neural Networks (CNNs), play a pivotal role. These deep learning models enable us to extract meaningful information from geospatial data, satellite imagery, and environmental sensor networks. Geospatial data, often integrated with computer vision, provides insights for informed decision-making.

This special session is intended to attract papers dealing with the intersection between artificial intelligence and environmental issues.

Topics of interest include, but are not limited to:
  • Methods in the modelling of climate change and its effects
  • Predictive modelling of climate change impacts
  • Analyzing satellite imagery, LiDAR data, and other remote sensing sources
  • Habitat modeling and ecological niche analysis.
  • AI-driven species identification and tracking.
  • Conservation planning using machine learning algorithms
  • AI-driven approaches for biodiversity assessment
  • Remote sensing and geospatial analytics for environmental preservation
  • Precision farming techniques in crop yield prediction
  • Soil health assessment through AI techniques
  • Water resource management using machine learning
  • Geospatial data fusion for disaster management
  • Land cover classification, environmental monitoring

A special session of ICONIP 2024, to be held in Auckland, New Zealand 2-6 December, 2024.

Important Links
Main conference site: https://iconip2024.org/

Important Dates
Paper Submission Deadline: 7 June 2024
Notification of Acceptance: 26 July 2024
Camera Ready Submission: 30 August 2024
Registration Deadline: 30 August 2024
Conference Dates: 2-6 December 2024

Organisers
Akbar Ghobakhlou, AUT University
Jacqui Whalley, AUT University
Mike Watts Media Design School
Asli Tece Bayrak, Media Design School

Monday, May 6, 2024

Call for Papers: Special Session on AI Education, ICONIP 2024

AI Education

There has been an explosion in the applications of Artificial Intelligence (AI). While Large Language Models such as ChatGPT have garnered much of the attention, other AI technologies have also found wide application, such as the predictive keyboards on mobile devices, and facial recognition systems in supermarkets. Some technology venture capitalists have reported that 80% of the funding pitches they receive involve AI. Many business owners believe that AI is going to put them out of business, unless they adapt to the technology. Others are desperately searching for ways to get onto the AI bandwagon. This surge in interest in AI has led to a worldwide shortage of AI engineers. Furthermore, the inappropriate application of AI, whether through the use of biased data or unethical applications, has also led to social and economic fallout. 

The increased public awareness of AI technologies has also led to a proliferation of media commentary, of varying degrees of competence, and governmental regulation. Some students have taken to using AI tools to assist in their assignments, while others have changed their career pathways due to a perception that AI is going to destroy their future job prospects.

There is, therefore, a need for education about AI. This need spans nearly all levels of education, from primary school through to postgraduates. At primary and secondary level so that people enter the working world with the basic knowledge of AI and how it affects their lives. At tertiary undergraduate and postgraduate level so that we have a steady supply of engineers and developers who can utilise AI in an appropriate and ethical manner.

This all raises a fundamental question: How is this education being done?

This special session is intended to attract papers dealing with all aspects of AI education. Topics of interest include, but are not limited to:
  • Incorporating AI into teaching curricula at all levels of education
  • The design and implementation of AI-specialist teaching curricula
  • Technologies used to teach AI
  • Teaching the ethics of AI
  • Policy making around AI education
  • The teaching of specialist topics within AI
  • Work-integrated learning and project-based teaching in AI

A special session of ICONIP 2024, to be held in Auckland, New Zealand 2-6 December, 2024.

Important Dates

Paper Submission Deadline: 7 June 2024
Notification of Acceptance: 26 July 2024
Camera Ready Submission: 30 August 2024
Registration Deadline: 30 August 2024
Conference Dates: 2-6 December 2024

Important Links

Main conference site: https://iconip2024.org/

Organisers

Mike Watts is a Senior Lecturer in Artificial Intelligence, and Programme Coordinator of the Bachelor of Information Technology at Media Design School, Auckland, New Zealand. He was previously a research fellow in the School of Earth and Environmental Sciences at the University of Adelaide, Australia. Before that, he was a post-doctoral fellow in the School of Biological Sciences at the University of Sydney and at the National Centre for Advanced Bio-Protection Technologies at Lincoln University, New Zealand. Mike completed his PhD in artificial intelligence at the University of Otago, New Zealand, in 2004 and has published more than 80 peer-reviewed publications in the field of AI and ecological modeling.

Akbar Ghobakhlou is Data Science and Machine Learning lecturer within the School of Engineering, Computer & Mathematical Sciences at Auckland University of Technology. His research centres on practical uses of intelligent technologies like monitoring, visualization, and predictive models. His interests cover data mining, machine learning, image processing, smart sensors in precision agriculture, and environmental monitoring. Akbar is an active member of the IEEE community, specifically within the Instrumentation and Measurement Society (IMS). He organised and chaired the annual IMS two-day workshop in 2023. Akbar completed his PhD in artificial intelligence at the University of Otago, New Zealand has numerous peer-reviewed publications in the field of AI and IoT applications.

Ranpreet Kaur is a Lecturer in the Department of Bachelor of Software Engineering and Artificial Intelligence at Media Design School. She was previously a research and teaching assistant in the School of Engineering, Computational, and Mathematical Sciences at Auckland University of Technology. She has 15 years of academic career primarily focused on teaching and research. She has completed her PhD in Computer Science and Artificial Intelligence from Auckland University of Technology. She has published more than 20 high-quality research papers such as into Q1 and Q2 journals, international conferences, book chapters, and symposiums. She has been currently involved in various research projects. 

Wednesday, September 16, 2015

Call for Papers WCCI 2016 Special Session Computational Intelligence in Ecological Informatics and Environmental Modelling

Aim

Ecological informatics and the related field of ecological modelling involve constructing computational models of ecological systems. Environmental modelling is closely related and involves constructing models of the physical environment that biological eco-systems inhabit. The amount of data describing global and local environments and the eco-systems that inhabit them is rapidly increasing. As these are highly-complex systems, algorithms from the field of computational intelligence have already been widely applied to modelling this data. The aim of this special session is to provide a forum for recent research in the application of computational intelligence in the areas of ecological informatics, ecological modelling and environmental modelling. This is a highly topical area and is open to a broad array of methods from the field of computational intelligence.

Scope

The scope of the special session includes, but is not limited to, the following topics:
  • Species distribution and ecological niche modelling
  • Predicting species abundance
  • Remote sensing image analysis and content-based image retrieval for Ecological Informatics and Environmental Modelling
  • Analysis of species assemblages
  • Classification of species
  • Environmental impact assessment
  • Modelling of environmental events including floods
  • Issues in the preparation of ecological data for modelling
  • Modelling of pollutants or contamination in air, land or water
  • Modelling water quality
  • Greenhouse gas emissions modelling and the effects of climate change
  • Modelling the future development of populations
  • Detecting landscape features
  • Modelling water drainage systems
  • Assessment of habitat quality
  • Forecasting of algal blooms
  • Habitat suitability modelling
  • Predicting crop hazards, pests or diseases
  • Modelling interactions between multiple species
  • Identifying landscape features
  • Modelling ecosystem biomass
  • Learning of phenological patterns

 

Important Dates

  • Paper submission deadline: 15th January 2016
  • Author notification: 15th March 2016
  • Deadline for final manuscript: 15th April 2016
  • Early registration deadline: 15th April 2016
  • Conference dates: 25th July-29th July 2016

Paper Submission As this is a cross-disciplinary special session, please submit papers via the IEEE CEC 2016 submission site: http://ieee-cis.org/conferences/cec2016/upload.php Please make sure you select "Computational Intelligence in Ecological Informatics and Environmental Modelling" under "Cross-Disciplinary and CI Applications Special Sessions" as the Main Research Topic of your submission. Accepted papers will be published in the conference proceedings that are most appropriate for the paper (IJCNN, FUZZ-IEEE or CEC). This decision will be made by the Special Session Organisers in consultation with the Special Session Chair and one of the three Conference Chairs.

 

Organisers

  • Dr Michael J. Watts, Auckland Institute of Studies, Auckland, New Zealand. mjwatts@ieee.org
  • Professor Jie Yang, Shanghai Jiao Tong University, Shanghai, China, jieyang@sjtu.edu.cn

 

Dr Michael J. Watts

Dr Michael J. Watts (Senior Member, IEEE) is the Academic Head of Programme for Information Technology at Auckland Institute of Studies, Auckland, New Zealand. His research interests are in the areas of ecological informatics, neural networks, neuro-fuzzy systems, and evolutionary algorithms. He is particularly interested in the intersections of these areas, where computational intelligence methods can be applied to ecological informatics. He has published more than 70 peer-reviewed papers in a range of international journals and conferences on a variety of topics, particularly computational intelligence and ecological informatics. He is currently on the editorial boards of the Springer journal Soft Computing and the IEEE Transactions on Neural Networks and Learning Systems. He teaches basic database engineering, fundamentals of programming, data mining and information security and serves on a number of committees of the IEEE Computational Intelligence Society including the Neural Networks Technical Committee and the Standards Committee.

 

Professor Jie Yang

Jie Yang is the Professor and Director of the Institute of Image Processing and Pattern recognition in Shanghai Jiao Tong University. He received a bachelor’s degree in Automatic Control in Shanghai Jiao Tong University, where a master’s degree in Pattern Recognition & Intelligent System was achieved three years later. In 1994, he received Ph.D. at Department of Computer Science, University of Hamburg, Germany. He is the principal investigator of more than 30 national and ministry scientific research projects in image processing, pattern recognition, data mining, and artificial intelligence, including two national 973 research plan projects, three national 863 research plan projects, three National Nature Foundation projects, five international cooperative projects with France, Korea, Japan, New Zealand. He has published four books and more than four hundred articles in national or international academic journals and conferences. Up to now, he has supervised 4 postdoctoral, 32 doctors and 55 masters, and been awarded five research achievement prizes from ministry of Education, China and Shanghai municipality. One Ph.D. dissertation he supervised was evaluated as "National Best Ph.D. Dissertation" in 2009. Two Ph.D. dissertations he supervised were evaluated as "Shanghai Best Ph.D. Dissertation" in 2009 and 2010. He has owned 25 patents.

Wednesday, April 16, 2014

Call for Papers: Special Issue on Real-Time Strategy Games IEEE TCIAIG

Special issue editors: Michael Buro, Santiago Ontañón and Mike Preuss

In recent years game AI for real-time strategy (RTS) games has become an active research area. Producing AI players (bots) which are able to consistently beat even average human players (without cheating) in these games has risen as a real challenge. Thus, in RTS games, player satisfaction cannot simply be achieved by “downgrading” the AI, as is possible in man other game genres. In consequence, stronger AI players make the game more interesting.

Recent RTS AI (e.g. StarCraft) tournaments have stimulated the creation of new bots with new concepts and architectures and led to a greatly increased number of publications addressing some of the many open AI problems in RTS games. For example, RTS game aspects such as resource management, scouting, real-time strategic and tactical planning, and others, call for the application of innovative CI/AI methods. This special issue welcomes high-quality work in the area of real-time strategy games. Topics include but are not limited to:
  • Adversarial real-time planning in RTS games
  • Bot reactiveness: learning and adaptation in RTS bots
  • Build order optimization and its relation to strategies and the metagame
  • Scouting and uncertainty management in RTS games
  • Path-finding and group movement
  • Combat simulation and AI for micro-management
  • Opponent modeling, especially strategy prediction
  • Complexity measurements for RTS games
  • Communication and cooperation with and within RTS bots
  • New forms of interaction with the player
  • AI adaptations for more satisfying play experience
  • Difficulty adaptation, ability-based matching, ladders, and tournaments
  • Automated level/unit/map design for RTS games
  • Multiplayer online battle arena (MOBA) games: the next generation of real-time strategy?
Authors should follow normal T-CIAIG guidelines for their submissions, but clearly identify their papers for this special issue during the submission process. See http://csee.essex.ac.uk/tciaig/authors.html for author information. Extended versions of previously published conference/workshop papers are welcome providing the journal paper is a significant extension of the conference paper, and is accompanied by a covering letter explaining the additional contribution.

Deadline for submissions: July 1, 2014 Final copy due: February 1, 2015
Notification of Acceptance: November 1, 2014 Publication: June 2015

Monday, April 7, 2014

Call for Special Session Proposals for IEEE SSCI 2014

The IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) invites Special Session proposals for our December 9 - 12, 2014 conference in Orlando, Florida, USA. Special session proposals can be for any of the symposium under the IEEE SSCI 2014 umbrella. Special Session proposals should include the following:
  • A brief description, rationale or motivation of the proposed session
  • The title of the proposed special session, and the specific symposium under which the special session should be listed
  • List of topics and the scope
  • A list of authors who have already been invited to participate (if any)
  • Short bio information of the SS organizers
Please submit the SS proposals to the corresponding Symposium Chairs (Symposium Chairs can approve their SS directly, see list of Symposia at http://www.ieee-ssci.org/glance.html), or to the SSCI 2014 Special Session Chair, Robi Polikar at polikar@rowan.edu, with a copy to Haibo He at he@ele.uri.edu. More details can be found at http://www.ieee-ssci.org.

The deadline for special session proposals is April 15, 2014.

Friday, March 7, 2014

IEEE SMC 2014 Special Session: Autonomous Learning and Evolving Intelligence

Below is a call for papers for a special session in the 2014 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC). This conference will be held in San Diego, California, October 5-8, 2014.


Autonomous Learning and Evolving Intelligence

Synopsis

The special session is focussed on addressing autonomous learning in computational systems in a setting where the role of the human is to merely to start/stop the process and monitor it online. It is a specific branch of machine learning, where the computer system is expected to learn for itself within a dynamically evolving and challenging environment complex processes without heuristic input or prior training.

To achieve autonomous learning, a computer develops a form of intelligence that can evolve and adapt to its surroundings. A system that learns and evolves automatically should also operate in real-time. Currently DARPA have a challenge running for robots to operate autonomously in inhospitable environments; NSF is also recognising autonomous learning as a significant topic of research; large companies such as IBM, BT etc. also have programmes in autonomic computing and related disciplines. The objective of the proposed special session is to bring together people from academia and industry to introduce papers that look at addressing some of the fundamental problems or stumbling blocks found when a computer must learn for itself and evolve to it's surroundings.

Indicative Topics /Areas (not limited to)

  • Autonomous Learning
  • Autonomous Video Analytics
  • Intelligence and Adaptive Systems
  • Adaptive and Self-calibrating Sensor Systems
  • Autonomous Fuzzy rule-based Systems
  • Anomaly Detection
  • Fault Detection and Identification
  • Evolving Clustering
  • Evolving Classification Methods
  • Adaptive Behaviour Models
  • Robotic Systems

Submission details

Papers should not exceed 8 pages in length, papers over 6 pages in length are charged extra per page (up to a max of 2). Manuscript for a Special Session should NOT be submitted in duplication to any other regular or special session and should be submitted to SMC 2014 main conference online submission system on SMC 2014 conference website. All submitted papers of Special Session have to undergo the same review process (a t least two reviewers). The technical reviewers for each Special Session paper will be members of the SMC 2014 Program Committee and qualified peer-reviewers to be nominated by the Special Session organizers.

Special Session organizer

Plamen Angelov
University of Lancaster, UK

Important Dates

April 7, 2014
Submission of a full-length paper

May 25, 2014
Acceptance/Rejection notification

July 9, 2014
Final camera-ready paper submission

Tuesday, December 10, 2013

Call for papers: Special Session for WCCI 2014 "Applications of Computational lntelligence in Ecological Informatics and Environmental Modelling"

Aim

The aim of this special session is to provide a forum for recent research in the application of computational intelligence in the areas of ecological informatics, ecological modelling and environmental modelling.

Ecological informatics and the related field of ecological modelling involve constructing computational models of ecological systems. These models include such things as the distribution or abundance of particular species, models of the interaction between multiple species, and models of the future development of populations. Environmental modelling is closely related and involves constructing models of the physical environment that biological eco-systems inhabit. These models cover such topics as the climate and climate change and the detection of landscape features from geographical data. Models have also been constructed of such environmental topics as waste management systems, water quality and drainage systems and air pollution. As these are highly-complex systems, algorithms from the field of computational intelligence have already been widely applied to modelling this data. Previous work has successfully applied artificial neural networks, fuzzy systems, evolutionary algorithms, support vector machines and combinations of these including neuro-fuzzy and neuro-evolutionary approaches. In each case, computational intelligence methods were shown to be more effective at solving the problem than the alternative methods.

Scope

Topics relevant to this special session include, but are not limited to, the following applications of computational intelligence, including Artificial Neural Networks, Fuzzy Systems, and Evolutionary Algorithms:

•    Species distribution and ecological niche modelling
•    Predicting species abundance
•    Remote sensing image analysis and content-based image retrieval for Ecological Informatics and Environmental Modelling
•    Analysis of species assemblages
•    Issues in the preparation of ecological data for modelling
•    Modelling of pollutants in air, land or water
•    Modelling water quality
•    Predicting the effects of climate change
•    Predicting crop hazards, pests or diseases
•    Identifying landscape features
•    Modelling ecosystem biomass

Deadline

The deadline for submissions to this special session is 20 January 2014.

Information for Authors

1)    Information on the format and templates for papers can be found here:
       http://www.ieee-wcci2014.org/Paper%20Submission.htm
2)    Papers should be submitted via the IJCNN 2014 paper submission site:
       http://ieee-cis.org/conferences/ijcnn2014/upload.php3)
       Select the Special Session name in the Main Research topic dropdown list
4)    Fill out the input fields, upload the PDF file of your paper and finalize your submission by the deadline of December 20, 2013

Organisers

•    Dr Michael J Watts, AIS St Helens, Auckland, New Zealand. mjwatts@ieee.org
•    Associate Professor Russel Pears, Auckland University of Technology, Auckland, New Zealand, russel.pears@aut.ac.nz
•    Professor Jie Yang, Shanghai Jiao Tong University, Shanghai, China, jieyang@sjtu.edu.cn

Monday, November 25, 2013

Call for papers: Special Session for WCCI 2014 "Applications of Computational lntelligence in Ecological Informatics and Environmental Modelling"

Aim

The aim of this special session is to provide a forum for recent research in the application of computational intelligence in the areas of ecological informatics, ecological modelling and environmental modelling.

Ecological informatics and the related field of ecological modelling involve constructing computational models of ecological systems. These models include such things as the distribution or abundance of particular species, models of the interaction between multiple species, and models of the future development of populations. Environmental modelling is closely related and involves constructing models of the physical environment that biological eco-systems inhabit. These models cover such topics as the climate and climate change and the detection of landscape features from geographical data. Models have also been constructed of such environmental topics as waste management systems, water quality and drainage systems and air pollution. As these are highly-complex systems, algorithms from the field of computational intelligence have already been widely applied to modelling this data. Previous work has successfully applied artificial neural networks, fuzzy systems, evolutionary algorithms, support vector machines and combinations of these including neuro-fuzzy and neuro-evolutionary approaches. In each case, computational intelligence methods were shown to be more effective at solving the problem than the alternative methods.

Scope

Topics relevant to this special session include, but are not limited to, the following applications of computational intelligence, including Artificial Neural Networks, Fuzzy Systems, and Evolutionary Algorithms:

•    Species distribution and ecological niche modelling
•    Predicting species abundance
•    Remote sensing image analysis and content-based image retrieval for Ecological Informatics and Environmental Modelling
•    Analysis of species assemblages
•    Issues in the preparation of ecological data for modelling
•    Modelling of pollutants in air, land or water
•    Modelling water quality
•    Predicting the effects of climate change
•    Predicting crop hazards, pests or diseases
•    Identifying landscape features
•    Modelling ecosystem biomass

Deadline

The deadline for submissions to this special session is 20 December 2013.

Information for Authors

1)    Information on the format and templates for papers can be found here:
       http://www.ieee-wcci2014.org/Paper%20Submission.htm
2)    Papers should be submitted via the IJCNN 2014 paper submission site:
       http://ieee-cis.org/conferences/ijcnn2014/upload.php3)
       Select the Special Session name in the Main Research topic dropdown list
4)    Fill out the input fields, upload the PDF file of your paper and finalize your submission by the deadline of December 20, 2013

Organisers

•    Dr Michael J Watts, AIS St Helens, Auckland, New Zealand. mjwatts@ieee.org
•    Associate Professor Russel Pears, Auckland University of Technology, Auckland, New Zealand, russel.pears@aut.ac.nz
•    Professor Jie Yang, Shanghai Jiao Tong University, Shanghai, China, jieyang@sjtu.edu.cn

Friday, November 8, 2013

Call for papers: Special Session for WCCI 2014 "Applications of Computational lntelligence in Ecological Informatics and Environmental Modelling"

Aim

The aim of this special session is to provide a forum for recent research in the application of computational intelligence in the areas of ecological informatics, ecological modelling and environmental modelling.

Ecological informatics and the related field of ecological modelling involve constructing computational models of ecological systems. These models include such things as the distribution or abundance of particular species, models of the interaction between multiple species, and models of the future development of populations. Environmental modelling is closely related and involves constructing models of the physical environment that biological eco-systems inhabit. These models cover such topics as the climate and climate change and the detection of landscape features from geographical data. Models have also been constructed of such environmental topics as waste management systems, water quality and drainage systems and air pollution. As these are highly-complex systems, algorithms from the field of computational intelligence have already been widely applied to modelling this data. Previous work has successfully applied artificial neural networks, fuzzy systems, evolutionary algorithms, support vector machines and combinations of these including neuro-fuzzy and neuro-evolutionary approaches. In each case, computational intelligence methods were shown to be more effective at solving the problem than the alternative methods.

Scope

Topics relevant to this special session include, but are not limited to, the following applications of computational intelligence, including Artificial Neural Networks, Fuzzy Systems, and Evolutionary Algorithms:

•    Species distribution and ecological niche modelling
•    Predicting species abundance
•    Remote sensing image analysis and content-based image retrieval for Ecological Informatics and Environmental Modelling
•    Analysis of species assemblages
•    Issues in the preparation of ecological data for modelling
•    Modelling of pollutants in air, land or water
•    Modelling water quality
•    Predicting the effects of climate change
•    Predicting crop hazards, pests or diseases
•    Identifying landscape features
•    Modelling ecosystem biomass

Deadline

The deadline for submissions to this special session is 20 December 2013.

Information for Authors

1)    Information on the format and templates for papers can be found here:
       http://www.ieee-wcci2014.org/Paper%20Submission.htm
2)    Papers should be submitted via the IJCNN 2014 paper submission site:
       http://ieee-cis.org/conferences/ijcnn2014/upload.php3) 
       Select the Special Session name in the Main Research topic dropdown list
4)    Fill out the input fields, upload the PDF file of your paper and finalize your submission by the deadline of December 20, 2013

Organisers

•    Dr Michael J Watts, AIS St Helens, Auckland, New Zealand. mjwatts@ieee.org
•    Associate Professor Russel Pears, Auckland University of Technology, Auckland, New Zealand, russel.pears@aut.ac.nz
•    Professor Jie Yang, Shanghai Jiao Tong University, Shanghai, China, jieyang@sjtu.edu.cn

Friday, October 25, 2013

Call for papers: Special Session for WCCI 2014 "Applications of Computational lntelligence in Ecological Informatics and Environmental Modelling"

Aim

The aim of this special session is to provide a forum for recent research in the application of computational intelligence in the areas of ecological informatics, ecological modelling and environmental modelling.

Ecological informatics and the related field of ecological modelling involve constructing computational models of ecological systems. These models include such things as the distribution or abundance of particular species, models of the interaction between multiple species, and models of the future development of populations. Environmental modelling is closely related and involves constructing models of the physical environment that biological eco-systems inhabit. These models cover such topics as the climate and climate change and the detection of landscape features from geographical data. Models have also been constructed of such environmental topics as waste management systems, water quality and drainage systems and air pollution. As these are highly-complex systems, algorithms from the field of computational intelligence have already been widely applied to modelling this data. Previous work has successfully applied artificial neural networks, fuzzy systems, evolutionary algorithms, support vector machines and combinations of these including neuro-fuzzy and neuro-evolutionary approaches. In each case, computational intelligence methods were shown to be more effective at solving the problem than the alternative methods.

Scope

Topics relevant to this special session include, but are not limited to, the following applications of computational intelligence, including Artificial Neural Networks, Fuzzy Systems, and Evolutionary Algorithms:

•    Species distribution and ecological niche modelling
•    Predicting species abundance
•    Remote sensing image analysis and content-based image retrieval for Ecological Informatics and Environmental Modelling
•    Analysis of species assemblages
•    Issues in the preparation of ecological data for modelling
•    Modelling of pollutants in air, land or water
•    Modelling water quality
•    Predicting the effects of climate change
•    Predicting crop hazards, pests or diseases
•    Identifying landscape features
•    Modelling ecosystem biomass

Deadline

The deadline for submissions to this special session is 20 December 2013.

Information for Authors

1)    Information on the format and templates for papers can be found here:
       http://www.ieee-wcci2014.org/Paper%20Submission.htm
2)    Papers should be submitted via the IJCNN 2014 paper submission site:
       http://ieee-cis.org/conferences/ijcnn2014/upload.php3) 
       Select the Special Session name in the Main Research topic dropdown list
4)    Fill out the input fields, upload the PDF file of your paper and finalize your submission by the deadline of December 20, 2013

Organisers

•    Dr Michael J Watts, AIS St Helens, Auckland, New Zealand. mjwatts@ieee.org
•    Associate Professor Russel Pears, Auckland University of Technology, Auckland, New Zealand, russel.pears@aut.ac.nz
•    Professor Jie Yang, Shanghai Jiao Tong University, Shanghai, China, jieyang@sjtu.edu.cn

Friday, October 11, 2013

Call for papers: Special Session for WCCI 2014 "Applications of Computational lntelligence in Ecological Informatics and Environmental Modelling"

Aim

The aim of this special session is to provide a forum for recent research in the application of computational intelligence in the areas of ecological informatics, ecological modelling and environmental modelling.

Ecological informatics and the related field of ecological modelling involve constructing computational models of ecological systems. These models include such things as the distribution or abundance of particular species, models of the interaction between multiple species, and models of the future development of populations. Environmental modelling is closely related and involves constructing models of the physical environment that biological eco-systems inhabit. These models cover such topics as the climate and climate change and the detection of landscape features from geographical data. Models have also been constructed of such environmental topics as waste management systems, water quality and drainage systems and air pollution. As these are highly-complex systems, algorithms from the field of computational intelligence have already been widely applied to modelling this data. Previous work has successfully applied artificial neural networks, fuzzy systems, evolutionary algorithms, support vector machines and combinations of these including neuro-fuzzy and neuro-evolutionary approaches. In each case, computational intelligence methods were shown to be more effective at solving the problem than the alternative methods.

Scope

Topics relevant to this special session include, but are not limited to, the following applications of computational intelligence, including Artificial Neural Networks, Fuzzy Systems, and Evolutionary Algorithms:

•    Species distribution and ecological niche modelling
•    Predicting species abundance
•    Remote sensing image analysis and content-based image retrieval for Ecological Informatics and Environmental Modelling
•    Analysis of species assemblages
•    Issues in the preparation of ecological data for modelling
•    Modelling of pollutants in air, land or water
•    Modelling water quality
•    Predicting the effects of climate change
•    Predicting crop hazards, pests or diseases
•    Identifying landscape features
•    Modelling ecosystem biomass

Deadline

The deadline for submissions to this special session is 20 December 2013.

Information for Authors

1)    Information on the format and templates for papers can be found here:
       http://www.ieee-wcci2014.org/Paper%20Submission.htm
2)    Papers should be submitted via the IJCNN 2014 paper submission site:
       http://ieee-cis.org/conferences/ijcnn2014/upload.php3) 
       Select the Special Session name in the Main Research topic dropdown list
4)    Fill out the input fields, upload the PDF file of your paper and finalize your submission by the deadline of December 20, 2013

Organisers

•    Dr Michael J Watts, AIS St Helens, Auckland, New Zealand. mjwatts@ieee.org
•    Associate Professor Russel Pears, Auckland University of Technology, Auckland, New Zealand, russel.pears@aut.ac.nz
•    Professor Jie Yang, Shanghai Jiao Tong University, Shanghai, China, jieyang@sjtu.edu.cn

Wednesday, April 18, 2012

Special session: Computational Intelligence and Social Media

The below is a call for papers for a special session of the 2012  IEEE Workshop on Computational Intelligence for Security and Defence Applications (IEEE CISDA) 2012. The deadline for submitting papers for this special session is 23 April, 2012. This conference will be held in Ottawa, Canada, 11-13 July 2012.


Computational Intelligence and Social Media

Organizers: John Verdon, DRDC Ottawa, Canada
Contact: john.verdon -at- drdc-rddc.gc.ca

Military and security communities are hard-pressed to develop the capabilities required to exploit the huge volumes of data, the new forms of information, and rapidly changing content of Social Media (SM) such as blogs, wikis, videos, social graph based systems (such as Facebook, Twitter) and many other SM systems that are being deployed. SM is also in its infancy, so there is a huge potential for SM to evolve far beyond its current capabilities and types of information.

Computational Intelligence techniques (Neural network, Evolutionary computation, Fuzzy Systems, Particle Swarms, etc) have often been based on, and and have been related to, highly complex, structured, and dynamic natural systems in [biology, neuroscience, brain, psychology, sociology]. This may make them particularly well suited for the extraction of intelligence from existing forms of SM, for the [modeling, prediction, control] of SM activity, as well as for providing some capability of keeping up with rapidly evolving and new forms of SM. Papers that deal with massive datasets are of particular interest, and, naturally, papers should relate to defense and security needs, applications, and tool-sets. Security & Defense needs and Social Media [some examples from Forrester 2011, Verdon 2012] topics include, but are not limited to:
  • Language translation - filtering a collection of documents down to those that should be translated by humans
  • Knowledge extraction - validating facts from unstructured and questionable sources
  • Document summarization - extracting the sense of a document or a group of topically-related documents, and establishing the main points of consensus and divergence
  • Trend identification - as well as possible causal linkages among trends and supporting evidence
  • Active learning - determining where information is lacking and which data would be most productive to acquire
  • Security - at what threshold does secrecy become a liability rather than an asset for security?
  • Reputation and/or Recommendation - ‘quick trust’ of the participants and possibly of the information