Special Issues

The aim of this Special Issue is to concentrate on all aspects and future research directions related to emerging technologies in biomedical, nonlinear dynamics and control engineering.

This Special Issue emphasizes the important roles of nonlinearity and numerical simulation in Geotechnical Engineering, and demonstrates the latest efforts of global researchers.

Machine learning is a fast-evolving field of artificial intelligence that enables systems to learn from data, recognize patterns, and make predictions without explicit programming. It includes supervised, unsupervised, and reinforcement learning, with applications across industries such as healthcare, finance, education, and manufacturing. Machine learning enhances signal processing, supports adaptive learning technologies, and improves accuracy in areas like speech and image recognition. Its growing impact creates high demand for skilled professionals and opens new opportunities in both technical and applied domains.

The aim of this Special Issue is to solicit novel research work in electric vehicles, smart grids, biomedical engineering, renewable energy sources, and others which will be of highly interest to both academics and industrialists.

The aim of this Special Issue is to cover control and nonlinear aspects of instabilities in switching converters: theoretical, analysis modelling, and practical solutions for such emerging applications.