Recent Articles
DOI: 10.66693/mathai.1039
The structuring and partitioning of large-scale complex datasets is often limited by the computational complexity of combinatorial optimization, which frequently yields suboptimal, locally extremal so...
DOI: 10.66693/mathai.1038
The article describes the main methodological principles of a new scientific-engineering discipline — task-based engineering, which represents a synergistic integration of the task-based approach, eng...
DOI: 10.66693/mathai.1026
Hyperspectral images contain a large volume of source data that exhibits high correlations along neighboring spectral bands. This makes it necessary to select the most informative features among corre...
DOI: 10.66693/mathai.1024
In the process of evolution, the brain has achieved such perfection that artificial intelligence systems do not have and which needs its own mathematics. The concept of cognitome, introduced by the...
DOI: 10.66693/mathai.1030
We study operator learning for a nonlinear dynamical system describing symplastic plant leaf growth with multiple interacting cell files and stochastic cell division. The biomechanical model consists...
DOI: 10.66693/mathai.1025
Large language models (LLMs) have proven themselves to be powerful tools for many natural language tasks — from being a high-quality text classifiers to acting as agents in complex retrieval-augmented...
DOI: 10.66693/mathai.1004
Public spaces and commercial environments face persistent challenges regarding human misconduct. Traditional surveillance remains passive, while manual monitoring is labor-intensive and inefficient. C...
DOI: 10.66693/mathai.1007
Modern metaverse platforms, populated by heterogeneous multi-agent systems (MAS), generate vast streams of experiential data whose epistemic value remains largely untapped. This paper introduces the E...
DOI: 10.66693/mathai.1009
Parameter-Efficient Fine-Tuning (PEFT) is essential for adapting Large Language Models (LLMs) under resource constraints, yet existing methods often treat initialization and optimization as separate c...
DOI: 10.66693/mathai.1022
The integration of neural network methods in computer vision with logical infer- ence based on a Mivar expert system allows leveraging the advantages of both paradigms: high efficiency in processing...
