Epilepsy is the second most common brain disorder after migraine. Automatic detection of
epileptic seizures can considerably improve the patients' quality of life. Current …

Corporate financial distress is related to the interests of the enterprise and stakeholders.
Therefore, its accurate prediction is of great significance to avoid huge losses from them …

The development of exoskeletons has contributed to the rehabilitation of the population with
different degrees of disability. These devices contemplate some feedback signals for their …

This manuscript presents the design of a deep differential neural network (DDNN) for pattern
classification. First, we proposed a DDNN topology with three layers, whose learning laws …

Long-term and effective detection of epileptic seizures is a crucial aspect of epilepsy
monitoring and treatment. Addressing the resource overhead issue of wearable epilepsy …

In this study, we propose an electrocardiogram (ECG) system for the simultaneous and
remote monitoring of multiple heart patients. It consists of three main components: patient …

In this study, a local approximated solution for the Hamilton–Jacobi–Bellman equation
based on differential neural networks is proposed. The approximated Value function is used …

Multi-target regression (MTR) has been widely studied in data analytics and its main
challenge is to jointly model the input-output relationships and the intrinsic inter-target …

The problem of domestic refuse is becoming more and more serious with the use of all kinds
of equipment in medical institutions. This matter arouses people's attention. Traditional …

With the continuous development of artificial intelligence and the continuous improvement of
hardware performance, the era of intelligence is coming rapidly. Using AI technology to help …