A hardware-efficient sigmoid function calculator with adjustable precision for neural network
and deep-learning applications is proposed in this brief. By adopting the bit-plane format of …

The cumulative forecasting errors of wind and photovoltaic (PV) power pose serious
challenges to the short-term scheduling of hydropower stations that connected to the same …

Several practical applications like disaster detection, remote surveillance, object recognition
using remote sensing satellite images, object monitoring and tracking using radar images …

Today's microprocessors consist of multiple cores each of which can perform multiple
additions, multiplications, or other operations simultaneously in one clock cycle. To …

The traditional K-means clustering algorithm is difficult to initialize the number of clusters K,
and the initial cluster centers are selected randomly, this makes the clustering results very …

In this brief, we propose a low-complexity architectural implementation of the K-means-
based clustering algorithm used widely in mobile health monitoring applications for …

In this paper, a less than $200 artificial ventilator that can be used against COVID-19
pandemic is presented. Using low-cost easyto-find materials, it has been designed for …

A hardware-efficient on-line-learnable processor was developed for the K-means clustering
of highly dimensional vectors. Based on our proposed sample updating strategy, an …

Актуальность настоящей работы обусловлена ростом и бурным развитием систем
искусственного интеллекта, использующих, в частности, методы автоматической …

Estimating the true number of clusters for an unlabeled data set is one of the most important
limitations in clustering. To solve this issue, many approaches with different assumptions …