Background As the application of Artificial Intelligence (AI) technologies increases in the
healthcare sector, the industry faces a need to combine medical knowledge, often …

Flexible, lightweight, and highly sensitive force sensors have broad applicability in wearable
electronics, robotics, and human-machine interfaces. In this study, we present a novel fabric …

Feature selection is the procedure of extracting the optimal subset of features from an
elementary feature set, to reduce the dimensionality of the data. It is an important part of …

This study proposes a hybrid machine learning (ML) model that combines a radial basis
function network (RBFN) with principal component analysis (PCA) to predict residual stress …

Increasing the energy efficiency of production processes is closely related to minimizing the
impact on the environment and is one of the priorities of the concept of sustainable …

This article summarizes the works published under the “Machine Learning and AI for
Sensors”(https://www. mdpi. com/journal/sensors/topical_collections/ML_AI_sensors …

The presented paper proposes a novel, hybrid neuromorphic computational architecture for
visual data classification aimed at implementation in energy-efficient application-specific …