The ramifications of the COVID-19 pandemic have contributed in part to a recent upsurge in
the study and development of eHealth systems. Although it is almost impossible to cover all …

Smart lighting systems utilize advanced data, control, and communication technologies and
allow users to control lights in new ways. However, achieving user comfort, which should be …

Our previous research applied a novel classification-integrated moving average (CIMA)
method, an intelligence method that improves the performance of passive infrared (PIR) …

In recent years, with the rapid increase the popularity of cellular Internet of Things (IoT)
devices and the sharp increase in the number of end users, ensuring the stability and …

Recurrent neural network (RNN) is suitable for sequential cases because they have
feedback in their structure to recognize a dynamic behavior and a sequential pattern in time …

Machine learning has become one of the main pillars of smart lighting. In a machine
learning project life-cycle, the next step is model deployment after the intelligence model has …

The policy of limiting community mobilization is implemented to reduce the daily rate of
COVID-19. However, a high-accuracy sentiment analysis model can determine public …

Smart motorcycle helmets are an emerging topic that can provide convenience to
motorcyclists, such as providing information about the gas tank and tire pressure through the …

Transformer is a neural network model whose trend is rising because ChatGPT shocked the
world with its general answering and questioning system capabilities. The bidirectional …

Keyless entry systems have made human life more comfortable because the possibility of
someone leaving a key is non-existent. However, there is a research opportunity to use Wi …