Abstract Internet of Things (IoT) has evolved many day-to-day objects into smart objects,
which humans can control when they are connected via Internet. Its practical implementation …

Rolling element bearings faults are one of the main causes of breakdown of rotating
machines. Aside from this, due to variation of operating condition, domain shift phenomenon …

Multi-label learning is facing great challenges due to high-dimensional feature space,
complex label correlations and noises in multi-label data. Feature selection techniques have …

Convolutional neural network (CNN) is one of the most frequently used deep learning
techniques. Various forms of models have been proposed and im-proved for learning at …

In recent years, the performance of deep neural network in extractive summarization task
has been improved significantly compared with traditional methods. However, in the field of …

Simulation modeling is an important tool for simulating crowd behavior and studying the law
of crowd evacuation. It is of great significance for exploring evacuation management …

Big data is complex, and it is difficult to evaluate big data quality with only a few evaluation
subjects. This paper designs a universal evaluation method for big data quality based on the …

The idea of infusing entrepreneurship into education has incited much enthusiasm in the last
few decades. A myriad of effects have been stated to result from this, including economic …

This study proposes an alternate data extraction method that combines three well-known
feature selection methods for handling large and problematic datasets: the correlation …

Recently, big data are widely noticed in many fields like machine learning, pattern
recognition, medical, financial, and transportation fields. Data analysis is crucial to …