CALL FOR PAPERS – AICSIT 2017

Call for papers – The AICSIT 2017 Committee cordially invites submission of papers to the 5th INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE & INFORMATION TECHNOLOGY 2017. The AICSIT 2017 conference is a platform to bring together researchers, developers and practitioners from academia and industry working in all interdisciplinary areas of Artificial Intelligence and Computer Science. The conference is hosted by WorldConferences.net, KOKUIS.

 

Medium of Papers/Presentation

English / Malay (Papers in Malay are welcome)

Theme

“The Importance of Intelligent Machine”

SUB-THEMES

  • Natural language processing
  • Machine Translation
  • Machine Transliteration
  • Computer Science
  • Computer Intelligence
  • Algorithm and Programming
  • Software Engineering
  • Fuzzy logic and soft computing
  • Software tools for AI
  • Expert systems
  • Decision support systems
  • Automated problem solving
  • Knowledge discovery
  • Knowledge representation
  • Knowledge acquisition
  • Knowledge – intensive problem solving – techniques
  • Knowledge networks and management
  • Intelligent information systems
  • Intelligent web-based business
  • Intelligent agents
  • Intelligent networks
  • Intelligent databases
  • Intelligent user interface
  • AI and evolutionary algorithms
  • Intelligent tutoring systems
  • Reasoning strategies
  • Distributed AI algorithms and techniques
  • Distributed AI systems and architectures
  • Neural networks and applications
  • Heuristic searching methods
  • Languages and programming techniques for AI
  • Constraint-based reasoning and constraint programming
  • Intelligent information fusion
  • Search and meta-heuristics
  • Swarm Optimization
  • Integration of AI with other technologies
  • Evaluation of AI tools
  • Social intelligence (markets and computational societies)
  • Social impact of AI
  • Emerging technologies
  • Applications (including: computer vision, signal processing, pattern recognition, face recognition, fingerprint recognition, education, emerging applications, …)
  • Machine Learning

Þ General Machine Learning Theory
Þ Statistical learning theory
Þ Unsupervised and Supervised Learning
Þ Hierarchical learning models
Þ Relational learning models
Þ Meta learning
Þ Stochastic optimization
Þ Simulated annealing
Þ Heuristic optimization techniques
Þ Neural networks
Þ Reinforcement learning
Þ Multi-criteria reinforcement learning
Þ Multiple hypothesis testing
Þ Decision making
Þ Markov chain Monte Carlo (MCMC) methods
Þ Graphical models
Þ Gaussian graphical models
Þ Cross-Entropy method
Þ Ant colony optimization
Þ Time series prediction
Þ Fuzzy logic and learning
Þ Inductive learning and applications
Þ Grammatical inference
Þ General Graph-based Machine Learning Techniques
Þ Graph-based semi-supervised learning
Þ Graph clustering
Þ Graph learning based on graph transformations and grammars
Þ Graph learning based on graph matching
Þ Information-theoretical approaches to graphs
Þ Motif search
Þ Network inference
Þ General issues in graph and tree mining
Þ Computational Intelligence
Þ Induction of document grammars
Þ Supervised and unsupervised classification of web data

Multimedia in Education
Multimedia and Society
3-D processing
Design and Construction
Games
Intelligent Multimedia Interface
Multimedia Communication
Multimedia Content Security
Multimedia Copyright Protection
Multimedia Data Mining
Multimedia Processing
Multimedia Semantic Analysis
Multimedia Content Understanding
Multimedia Database Management
Long-life Learning
E-Commerce
Natural language processing
Computer Science
Algorithm and Programming
Software Engineering
Decision support systems
Knowledge management
Intelligent information systems
Languages and programming techniques
Information Technology in Society
Information Policy
Social Media and Community
Social impact of IT
Emerging technologies
Machine Learning
Computational Photography
Crime Detection based on Multimedia Analysis
Illumination, Sampling and Scanning
Image Enhancement
Image and Video Processing Hardware and Software
Image Rendering and Quality
Imaging Sensors and Acquisition Systems
Implementations and Architectures
Innovative Multimedia Systems or Devices
Intelligent e-Health based on Multimedia Analysis
Internet/Mobile Multimedia Sharing
Light Fields and Multiple-view Signal Processing
Mobile Plenoptic Acquisition and Display
Morphological Operations
Motion Detection and Estimation
Multi-spectral, Colour and Texture Processing
New Plenoptic Display Approaches and Devices
New Sensor Designs for Plenoptic Signal Acquisition
Neural, Adaptive and Fuzzy Processing

Important Dates

Description
Deadline
Abstract Submission
15 May 2017
Acceptance of Abstract
30 May 2017
Full paper Submission Deadline
15 June2017
Full paper Acceptance Notification
30 June 2017
Early-bird Fee until
30 April 2017

Noted: Notification of acceptance will email within one week of Submission of Abstract / Full Paper..

Oral Presentation:

• Each presenter is allocated 10-15 minutes, including Q&A.
• All paper sessions will take place in the conference Venue.
• The room will be equipped with a LCD projector and screen. A backup presentation PC will be available, but all presenters are encouraged to bring a USB key loaded with your presentation content.

All accepted papers with author registration, complete fee payment, presentation at the conference and subject to approval of Editorial Board will be published in the e-Proceeding of the Artificial Intelligence and Computer Science 2016. 10-15 best papers will be published in the e-Journal of Artificial Intelligence and Computer Science.
You can refer our e-Proceeding for the previous conference,
AICS2013 (e-ISBN No 9789-67-11768-3-2).
AICS2014 (e-ISBN No 978-967-11768-8-7).
AICS2015 (e-ISBN No 978-967-07920 6-4).
AICS2016 (e-ISBN No 978-967-07921 1-8).

Selected papers also will be recommended to be published on the  :