Deep neural networks (DNN) have remarkably progressed in applications involving large
and complex datasets but have been criticized as a black-box. This downside has recently …

Deep neuro-fuzzy systems (DNFSs) have been successfully applied to real-world problems
using the efficient learning process of deep neural networks (DNNs) and reasoning aptitude …

Deep learning models have gained a reputation of high accuracy in many domains.
Convolutional Neural Networks (CNN) are specialized towards image recognition and have …

Abstract Deep Neuro-Fuzzy System has been successfully employed in various
applications. But, the model faces two issues:(i) dataset with many features exponentially …

For a daily dental practice, the Panoramic (PANO) X-ray film is one of the most commonly
used dental X-rays. One of its important advantages is the coverage of most anatomic …

The rate of road accidents has increased to a large extent over the last few years. This has
eventually resulted in a huge loss of lives and property. Hence, the need of the hour has …

Peer-to-Peer (P2P) energy trading platforms are being actively designed, tested, and
operated by engineers, power distribution companies, and prosumers. The assurance of the …

In the context that coal remains the main energy source of China now, the safety of coal
mine production is still worth our attention. For the factors influencing the roof accident of …

Predicting conflict risk from a microscopic perspective is crucial for understanding traffic
dynamics and preventing crashes. However, previous studies often missed this perspective …

In recent years, more and more attention is attracted to analyzing the factors that affect and
induce traffic accidents, and studying the methods of traffic accident prediction, which may …