Deep neural networks (DNNs) have solved numerous challenging reels problems. However,
successful DNNs often require a large number of parameters, which may produce some …

Abstract Learning Vector Quantization (LVQ) and its cost-function-based variant called
Generalized Learning Vector Quantization (GLVQ) are powerful, yet simple and …

Driving condition is the core factor influencing vehicle energy management and power
output strategies, hence realistic and accurate driving pattern recognition is crucial for …

Abstract The Shallow and the Deep is a collection of lecture notes that offers an accessible
introduction to neural networks and machine learning in general. However, it was clear from …

In a real-world environment, there are several difficult obstacles to overcome in
classification. Those obstacles are data overlapping and skewness of data distribution …

In order to effectively improve the quality of video image transmission, this paper proposes a
method of digital multimedia video image coding. The transmission of digital multimedia …

Dynamic channel pruning has been proved to be an effective method by dynamically
adjusting the inference path to reduce the computing costs. However, in most existing work …

Lung cancer is the leading cause of cancer-related fatalities in Indonesia, primarily due to
late-stage diagnoses. This study aims to develop a model that employs image processing to …

Sensor fusion has gained a lot of attention during the recent years. It is used as an
application tool in different fields including semiconductor-, automotive-, medicine industries …

Classification in a possibilistic scenario is a kind of multiple class assignments for data. One
of the most prominent and interpretable classifier is the learning vector quantization (LVQ) …