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ICGST International Journal on Artificial
Intelligence and machine learning (AIML) provides an interdisciplinary forum in which
researchers and AI professionals can share their knowledge,
experience and report new advances on AI techniques.
It is a medium for promoting general and special purpose
tools, which are very essential for the evolution of
conventional and new subjects of artificial
intelligence and machine learning.
AIML aims also to manage the
industrial and academic cooperation in leading high-standard
projects. |
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The topics covered by AIML
include but are not limited to:
- Knowledge Bases and Environments
- Adaptive Techniques
- Object-Oriented Petri Nets
- Artificial Intelligence for Software Engineering
- Knowledge-Based System Architectures
- Software Engineering for AI
- Petri Nets
- Model-Based Diagnosis
- Lisp Programming
- Real-Time Systems
- Real-Time and Fault-Tolerant Systems
- Artificial Intelligence Languages
- Alarming and Fault Diagnosis Systems
- Fuzzy Inference Systems
- Neural Networks
- Neuro-Fuzzy Systems
- Natural Languages
- Genetic Algorithms
- Multidimensional Systems
- Natural Language Translation
- Robot and Manipulator Data Processing
- AI Programming Languages
- Biologically inspired Systems
- Expert Systems
- SVM
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- Modeling and Simulator Building
- Modeling, Estimation and Prediction
- Intelligent Automotive Systems
- Intelligent Industrial Systems
- Signal and System Modeling
- Machine Learning Tools
- Large Scale Systems
- Soft Computing
- Linear and Non-Linear Systems
- Artificial Perceptual Systems
- Stochastic Systems
- Production Systems
- AI Tools for CAD and VLSI
- Intelligent Aerospace Systems
- AI Tools for Multimedia
- Analysis/Design/Testing
- Object-Oriented Programming for AI.
- Defence and Military Intelligent Systems
- AI Tools for Computer Vision and Speech
(understanding/interpretation)
- Temporal and Spectral Analysis
- AI Parallel Processing Tools (hardware/software)
- Heuristic and AI Planning Strategies and
Tools
- Eigen-space: PCA, LDA, KPCA
- Decision tree
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How to submit your paper to
ICGST Academic Manuscript Central
(ICGST-AMC):
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- Information about, how to submit a paper, the
academic manuscript central (AMC), submission rules,
registration fee, review notes, instructions and
templates for paper editing can be found in (Submit
- page)
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Call for Paper:
Special Issue on Advanced Computation
for Engineering Applications
AIML Available ISSUES:
AIML ISSN:
1687-4846 Print,
1687-4854 Online,
1687-4862 CD-ROM
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Volume (05):
Issue (I),
Issue (II), Issue
(III)
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| Volume (06):
Issue (I),
Issue (II),
Issue (III),
Issue (IV) |
| Volume (07):
Issue (I) |
| Volume (08):
Issue (I),
Issue (II),
Issue (III),
Special
Issue(1) |
| Volume (09): Issue (I), Issue (II), |
| Volume (10): Issue (I) |
AIML 05:
Participants,
TOC, BibTex
( Word,
PDF,
Plain
Text) |
|
AIML 05 Special Issue |
AIML 2006 Participants,
BibTex
( Word,
PDF,
Plain
Text) |
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AIML
Special Issue on Rough Sets |
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AIML Special Issue on
Multiple Classifier Systems |
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