Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …

The indoor positioning system (IPS) is becoming increasing important in accurately
determining the locations of objects by the utilization of micro-electro-mechanical-systems …

Stochastic configuration network (SCN), as a novel incremental generation model with
supervisory mechanism, has an excellent superiority in solving large-scale data regression …

The proliferation of the e-commerce market has posed challenges to staff safety, product
quality, and operational efficiency, especially for cold chain logistics (CCL). Recently, the …

Indoor localization has attracted more and more attention because of its importance in many
applications. One of the most popular techniques for indoor localization is the received …

Flame image recognition is of great significance in the fire detection and prevention. In this
paper, in order to improve the accuracy of fire recognition, a fast stochastic configuration …

With the direct input–output connections, a random vector functional link (RVFL) network is a
simple and effective learning algorithm for single-hidden layer feedforward neural networks …

Addressing the positioning problem of a mobile robot remains challenging to date despite
many years of research. Indoor robot positioning strategies developed in the literature either …

Human activity recognition (HAR) is a key technology in the field of human–computer
interaction. Unlike systems using sensors or special devices, the WiFi channel state …

Acquiring the real-time spatial–temporal information of manufacturing resources holds the
promise to enable efficient operation in factory logistics. This article proposes a system …