Abstract Long Short-Term Memory (LSTM) is a popular Recurrent Neural Network (RNN)
algorithm known for its ability to effectively analyze and process sequential data with long …

Long short-term memory (LSTM) has transformed both machine learning and
neurocomputing fields. According to several online sources, this model has improved …

Image segmentation is one of the most significant and required procedures in pre-
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …

Effective air quality forecasting models are helpful for timely prevention and control of air
pollution. However, the spatiotemporal distribution characteristics of air quality have not …

In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …

Abstract Deep Convolutional Neural Network (CNN) is a special type of Neural Networks,
which has shown exemplary performance on several competitions related to Computer …

The volatile and intermittent nature of solar energy itself presents a significant challenge in
integrating it into existing energy systems. Accurate photovoltaic power prediction plays an …

Internet of Things (IoT) realizes the interconnection of heterogeneous devices by the
technology of wireless and mobile communication. The data of target regions are collected …

Lithium-ion batteries are acted as energy storage devices and widely used in many fields,
such as mobile, electric vehicles, and renewable energy sources, etc. However, their …

Stress has been identified as one of major contributing factors in car crashes due to its
negative impact on driving performance. It is in urgent need that the stress levels of drivers …