WAS Artificial Intelligence (WASAI)
The WAS Mathematics has been publishing research papers of high quality on a wide range of topics in pure and applied mathematics. We are ready to consider original papers on any topics in mathematics but have a preference on the ones close to interest of the members of the editorial board such as differential equations, algebraic geometry, number theory, difference equations, complex geometry, differential geometry, bifurcation theory, coding theory, symplectic geometry, topology, representation theory, complex analysis, operator algebras fixed-point theory, Fourier analysis, fractional analysis, mathematical physics, mathematical biology, partial differential equations, topology and applications, fuzzy mathematics, signal theory, special functions, statistics, stochastic process, and probability theory.
The submitted manuscripts are evaluated on the basis of high ethical standards, accurate methodology, scientific and perceived novelty.
Types of articles:
Original research that contributes to the base of scientific knowledge, including interdisciplinary, replication studies, and negative or null results.
Systematic reviews whose methods ensure the comprehensive and unbiased sampling of existing literature.
Qualitative research that adheres to appropriate study design and reporting guidelines.
Other submissions that describes methods, software, databases, or other tools that if they follow the appropriate reporting guidelines.