The use of high-spatial-resolution remote sensing image technology on mobile and
embedded equipment is an important and effective way for emergency rescue and …

Face mask detection had seen significant progress in the domains of Image processing and
Computer vision, since the rise of the Covid-19 pandemic. Many face detection models have …

Automatic environmental sound classification (ESC) is one of the upcoming areas of
research as most of the traditional studies are focused on speech and music signals …

This paper presents a deep residual network for improving time-series forecasting models,
indispensable to reliable and economical power grid operations, especially with high shares …

Nowadays, deep learning has achieved remarkable results in many computer vision related
tasks, among which the support of big data is essential. In this paper, we propose a full stage …

The dilated convolution algorithm, which is widely used for image segmentation, is applied
in the image classification field in this paper. In many traditional image classification …

With the popularity of using deep learning-based models in various categorization problems
and their proven robustness compared to conventional methods, a growing number of …

This article proposes an adaptive state-of-health (SOH) estimation method for lithium-ion (Li-
ion) batteries using machine learning. Practical problems with feature extraction, cell …

Abstract In a Distributed Denial of Service (DDoS) attack, a network of compromised devices
is used to overwhelm a target with a flood of requests, making it unable to serve legitimate …

Channel state information (CSI) can provide phase and amplitude of multichannel subcarrier
to better describe signal propagation characteristics. Therefore, CSI has become one of the …