JOURNAL OF INTERDISCIPLINARY MATHEMATICS
Scope & Guideline
Empowering Scholars to Unravel Complex Mathematical Concepts
Introduction
Aims and Scopes
- Mathematical Modeling and Analysis:
The journal publishes papers that develop mathematical models to analyze complex systems, particularly in areas such as epidemiology, fluid dynamics, and machine learning. - Computational Methods and Algorithms:
A significant emphasis is placed on the development and application of computational techniques, including numerical methods, optimization algorithms, and statistical analysis. - Interdisciplinary Applications:
The journal explores the application of mathematical theories and methods in various domains, including engineering, biology, finance, and social sciences, fostering interdisciplinary research. - Theoretical Advancements:
Research that contributes to the theoretical foundation of mathematics, including new mathematical constructs, theorems, and proofs, is a core focus. - Fuzzy and Soft Set Theories:
Papers that address fuzzy logic and soft set theories, particularly their applications in decision-making and optimization, are prevalent. - Fractional Calculus and Differential Equations:
The journal features research on fractional differential equations and their applications, reflecting a growing interest in non-integer order calculus. - Topological and Algebraic Structures:
Research exploring topological spaces, algebraic structures, and their properties forms a critical part of the journal's offerings.
Trending and Emerging
- Machine Learning and AI Applications:
The integration of machine learning and artificial intelligence into mathematical modeling and analysis is becoming increasingly prominent, reflecting a broader trend in the use of data-driven approaches in research. - COVID-19 Related Mathematical Models:
A surge in publications related to mathematical modeling of COVID-19 demonstrates the journal's responsiveness to global health challenges, highlighting the importance of applied mathematics in public health. - Fractional Calculus Applications:
The rising interest in fractional calculus, particularly its applications in various fields such as control theory and signal processing, marks a significant trend in recent publications. - Interdisciplinary Research Collaborations:
There is a growing trend towards interdisciplinary research, where mathematicians collaborate with experts from fields like biology, economics, and engineering, leading to innovative solutions to complex problems. - Fuzzy Logic and Decision-Making Models:
An increase in research focusing on fuzzy logic and decision-making models reflects a growing interest in handling uncertainty and imprecision in various applications. - Numerical Simulation Techniques:
The development and application of advanced numerical simulation techniques for solving complex mathematical problems are increasingly being emphasized in recent publications.
Declining or Waning
- Traditional Approaches to Differential Equations:
There appears to be a waning interest in classical methods for solving ordinary and partial differential equations, as newer computational and fractional techniques gain traction. - Basic Algebraic Structures:
Research centered on elementary algebraic structures, such as basic group theory or classical ring theory, is being published less frequently, possibly due to a shift towards more complex and applied mathematical frameworks. - Static Mathematical Models:
The emphasis on static models without dynamic or time-dependent considerations is declining, as researchers increasingly favor models that address real-time changes and interactions. - Conventional Statistical Methods:
There is a noticeable reduction in the publication of papers focusing solely on conventional statistical methods, as advanced machine learning techniques and big data analytics become more prominent.
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