This work investigates the classification of LEGO types using deep learning-based audio
classification approaches. The motivation for this investigation is based on the following …

In the places of railroad crossings, audible warning signals such as train whistles and
railway alarms are utilized to warn the road users of paying attention and giving priority to …

Due to the growing demand for improving surveillance capabilities in smart cities, systems
need to be developed to provide better monitoring capabilities to competent authorities …

We show that a smartphone is suitable as a sensor box for processing airborne sound data
in an industrial environment for predictive maintenance methods. By means of an …

With today's technology, it is evident how important it is to incorporate artificial intelligence
into the applications that are being used. Audio is a crucial component of this integration …

In this research, the focus area is on the surveillance sound detection from the Internet of
Things (IoT) system level perspective, which is to investigate the accuracy of the sound …

The paper presents a wavelet scattering feature extraction using an averaged data
augmentation to include unseen devices in training. The multiple classifiers are applied to …

Recent studies demonstrate various methods to classify noises present in daily human
activity. Most of these methods utilize multiple audio features that require heavy …

In this paper, a random sub-space discriminant classifier for classifying acoustic devices that
combines the features obtained from Mel-frequency cepstral coefficients (MFCCs), and …

In quality control of aluminum die casting various processes are used. For example, the
density of the parts can be measured, X-ray images or images from the computed …