The publication will not be an Open Access repository (Effective January 2017).
A maximum of thirty-nine (39) papers will be included in every journal issue (effective April 2013).
Multiple submission of the same paper on different journal submission will all be discarded (effective January 2017).
Paper title, author and corresponding author(s) names should be the same to the submitted paper and on the submission system (effective January 2017).
Each paper should only have one (1) corresponding author and cannot be changed (effective April 2013).
If plagiarism problem was found, all authors including the corresponded authors cannot submit paper(s) to our journal for three years.
The paper will be removed even though it was already published, and this will be noticed on the home page (effective April 2013).
If double submission was found, all authors including the corresponded authors cannot submit paper(s) to our journal for three years.
The paper will be removed even though it was published, and this will be noticed on the home page (effective April 2013).
Only paper(s) containing simulation, implementation, case study or other evidence of research advancement will be published.
Ideal paper can be published after the editorial board grants permission after reviewing the paper (effective April 2013).
Papers from one country cannot exceed 60% in every journal issue; it will be based by the first authors' nationality (effective July 2014).
Only one (1) paper from same author can be included in each issue regardless of role and order (effective July 2014).
SERSC DOES NOT ALLOW ANY AGENTS FROM CHINA to act on our behalf in collecting papers for our journals. SERSC have standard procedures in publication of submitted papers.
IJAIASD aims to facilitate and support research related to artificial intelligence and applications for smart devices.
Our Journal provides a chance for academic and industry professionals to discuss
recent progress in the area of artificial intelligence and applications for smart devices.
To bridge the gap of users who do not have access to major databases where
one should pay for every downloaded article; this online publication platform
is open to all readers as part of our commitment to global scientific society.
The topics covered by IJAIASD include the following:-
AI and evolutionary algorithms
Ant colony optimization
Applications in Bioinformatics
Architectures of intelligent systems
Aspects of knowledge structures
Aspects of natural language processing
Aspects of text technology
Automated problem solving
Bioinformatics and computational biology
Biological network analysis
Brain models / cognitive science
Combining multiple knowledge sources in an integrated intelligent system
Constraint-based reasoning and constraint programming
Decision support systems
Distributed AI algorithms and techniques
Evaluation of AI tools
Fuzzy logic, modeling, control and soft computing
Gaussian graphical models
General issues in graph and tree mining
Graph learning based on graph grammars
Heuristic optimization techniques
Hierarchical learning models
High-throughput data analysis
Hybrid Intelligent Systems
Image processing and understanding (interpretation)
Inductive learning and applications
Information-theoretical approaches to graphs
Integration of AI with other technologies
Intelligent information fusion
Knowledge acquisition and discovery techniques
Knowledge networks and management
Knowledge-intensive problem solving techniques
Languages and programming techniques for AI
Learning and adaptive sensor fusion
Markov chain Monte Carlo (MCMC) methods
Multi-criteria reinforcement learning
Multiple hypothesis testing
Multisensor data fusion using neural and fuzzy techniques
Natural language processing
Nature Inspired Methods
Neural networks and applications
Real-world applications of Intelligent Systems
Search and meta-heuristics
Social intelligence (markets and computational societies)
Statistical learning theory
Supervised and unsupervised classification of web data
Time series prediction
Topics on satisfiability
Unsupervised and Supervised Learning
Adolfo Lozano-Tello, Universidad de Extremadura, Spain
Amar Ramdane Cherif, University of Versailles, Versailles, France
Amir Zeid, American University of Kuwait, Kuwait
Ashu M. G. Solo, Maverick Technologies America Inc.,USA
Ateet Bhalla, NRI Institute of Information Science and Technology, Bhopal, India
Baoding Liu, Tsinghua University, China
Bernd Ludwig, University of Regensburg, Germany
Brajesh Kumar Singh, Reader, Department of C.S.E, FET, RBS College, Bichpuri, India
Bruno Bouchard, LIARA laboratory, Universite du Quebec à Chicoutimi, Canada