Special Issue

JIAMA26 SPECIAL ISSUE 

Artificial Intelligence, Optimization, and Statistical Learning for Real－World Applications

This JIAMA26 Special Issue aims to bring together selected high－ quality papers presenting state－of－the－art research in artificial intelligence and related multidisciplinary fields at the intersection of applied mathematics, statistics, optimization, and engineering applications. The covered topics include（but are not limited to) data science, artificial intelligenc, applied mathematics, optimization methods, computational intelligence, and selected engineering applications．

The contributions will be based on the best papers selected from the 4th International Conference on Artificial Intelligence and Applied Mathematics (JIAMA26) and will be published in Statistics, Optimization & Information Computing (SOIC) Journal (Q3 Scopus) as a paper．

TOPICS

1- Statistical theory and applications

• Statistical computing, Simulation and Monte Carlo methods, Bootstrap, Resampling methods, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods, Asymptotics, Bayesian Inference and Bayesian Optimization
• Stochastic processes, Probability, Statistics and applications
• Statistical methods and modeling in life sciences including biomedical sciences, environmental sciences and agriculture
• Decision Theory, Time series analysis,  High-dimensional  multivariate integrals, statistical analysis in market, business, finance, insurance, economic and social science, etc

 2- Optimization methods and applications

• Linear and nonlinear optimization
• Stochastic optimization, Statistical optimization and Markov-chain etc.
• Game theory, Network optimization and combinatorial optimization
• Variational analysis, Convex optimization and nonsmooth optimization
• Global optimization and semidefinite programming 
• Complementarity problems and variational inequalities
• Optimal control: theory and applications
• Operations research, Optimization and applications in management science and engineering

3- Information computing and machine intelligence

• Machine learning, Statistical learning, Deep learning
• Artificial intelligence, Intelligence computation, Intelligent control and optimization
• Data mining, Data analysis, Cluster computing, Classification
• Pattern recognition, Computer vision
• Compressive sensing and sparse reconstruction
• Signal and image processing, Medical imaging and analysis, Inverse problem and imaging sciences
• Genetic algorithm, Natural language processing, Expert systems, Robotics, Information retrieval and computing
• Numerical analysis and algorithms with applications in computer science and engineering

The submission file is in PDF format. All illustrations, figures, and tables are placed within the text at the appropriate points, rather than at the end. The text adheres to the stylistic and bibliographic requirements outlined in the Author Guidelines, which is found in About the Journal.

* After the refereeing process is complete, a section editor will make a decision for final acceptance or rejection. 

Publication Fee: Article Publication Charge (APC): 355.00 (USD)  payed directely to Journal after final Acceptation.

Submission: All papers must be submitted via the Google Form link.

https://forms.gle/Y6UUa3rJeKwvmWiK8

Guest Editors

- Dr．Mourad Fariss（UAE，Morocco）

- Dr．Younes Abouelhanoune（UAE，Morocco）

- Dr．Debabrata Samanta（RIT，Albania）

Contact: ic.jiama26@gmail.com