The motor drive system plays a significant role in the safety of electric vehicles as a bridge
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …

With the increasing interest in the content creation field in multiple sectors such as media,
education, and entertainment, there is an increased trend in the papers that use AI …

Nowadays attacks on computer networks continue to advance at a rate outpacing cyber
defenders' ability to write new attack signatures. This paper illustrates a deep learning …

The smart city vision has driven the rapid development and advancement of interconnected
technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this …

Intrusion Detection Systems (IDSs) are an essential element of modern cyber defense,
alerting users to when and where cyber-attacks occur. Machine learning can enable IDSs to …

Recently, enormous datasets have made power dissipation and area usage lie at the heart
of designs for artificial neural networks (ANNs). Considering the significant role of activation …

Deep learning (DL) is an exciting field of interest for many researchers and business. Due to
a massive leap in DL based research, many domains like Business, science and …

Handwritten Digit Recognition (HDR) is one of the most challenging tasks in the domain of
Optical Character Recognition (OCR). Irrespective of language, there are some inherent …

Science and technology development promotes Smart City Construction (SCC) as a most
imminent problem. This work aims to improve the comprehensive performance of the Smart …

Anonymization techniques are widely used to make personal data broadly available for
analytics/data-mining purposes while preserving the privacy of the personal information …