Within our academic high-speed network infrastructure which is used for connecting all
universities and high schools in our country to the Internet, there are thousands of …

As part of the research in the recently ended project SANET II, we were trying to create a
new machine-learning system without a teacher. This system was designed to recognize …

In modern industry, maintaining continuous machine operations is important for improving
production efficiency and reducing costs. Therefore, the smart technology of acoustic …

We compare the similarity of humans and one of the current convolutional deep neural
network (CNN) LeNet-5 on handwritten digits (MNIST database) recognition under stricter …

Sažetak On the basis of analyzing the natural frequency of the structure, the identification
quantity of each process is constructed with modal parameters and input into the machine …

This paper focuses on automatic detection of anomalies in audio files. We introduce an
automated unsupervised algorithm which integrates AEC-guided Genetic Algorithm and …

In the past ten years, deep learning has transformed data science, engineering, and even art
in countless ways. The key challenge for training engineering students in deep learning is to …

This paper is to introduce a novel semi-supervised methodology, the enhanced incremental
principal component analysis (“IPCA”) based deep convolutional neural network …

On the basis of analyzing the natural frequency of the structure, the identification quantity of
each process is constructed with modal parameters and input into the machine learning as …

In the realm of modern urban mobility, automatic incident detection is a critical element of
intelligent transportation systems (ITS), since the ability to promptly identify unexpected …