Aims & Scope

Aims:

Applied Mathematics and Statistics (AMS) is an international interdisciplinary journal committed to publishing original papers of significant scientific value across the spectrum of applied mathematics and statistics. AMS cordially welcomes original research articles and surveys utilizing mathematical or statistical methodologies to tackle intricate issues across diverse fields, thereby fostering future innovations and the development of novel technologies. AMS aims to be a premier publication showcasing cutting-edge research at the intersection of mathematics and applied sciences, hence providing valuable insights and fostering innovation across various domains.

Scope:

1. Complex Networks and Complex Systems: Investigation of the structure, dynamical behavior and performance of complex networks and systems across various disciplines.
2. Neural Dynamics and Optimization: Exploration of neural dynamics, optimization algorithms inspired by neural systems, and their applications in diverse fields.
3. Collaborative Control and Distributed Optimization: Studies focusing on collaborative control strategies, distributed optimization techniques, and the game theory in multi-agent systems.
4. Theory and Applications of Fractional Dynamics: Theoretical developments and practical applications of mathematical models, control strategies, and optimization techniques for fractional dynamic systems.
5. Quantum Computing and Information Theory: Mathematical foundations and applications of quantum computing, including the development of quantum algorithms, quantum cryptography, and the analysis of quantum systems.
6. Probability and Statistics: Theoretical advancements and practical applications of probability theory, stochastic processes, and statistical learning.
7. Health Informatics and Biostatistics: Applications of mathematical modeling and statistical methods in life science, and health sciences, including disease modeling, public health data analysis, and the development of new biostatistical methods for clinical research.
8. Data Science: Theoretical advancements and practical applications of data mining, time series analysis, causal inference, and causal emergence.
9. Fundamental Theories and Applications of Artificial Intelligence: Investigations into foundational theories and practical applications of artificial intelligence across different domains.

AMS seeks to publish papers that contribute significant mathematical insights and advancements in these areas. The journal serves as a platform for mathematicians, scientists, engineers, and researchers from related disciplines to disseminate their findings and foster interdisciplinary collaborations. Submissions demonstrating rigorous mathematical analysis with practical implications for real-world problems are warmly encouraged.