This paper explores new sensor technologies and their integration within Connected
Autonomous Vehicles (CAVs) for real-time road condition monitoring. Sensors like …

Although there are many reviews on Intrusion Detection Systems (IDS), the basic parts of
Intrusion Detection Algorithms (IDA), such as imbalanced datasets, feature engineering, and …

Deception detection is a critical aspect across various domains. Integrating advanced signal
processing techniques, particularly in neuroscientific studies, has opened new avenues for …

The escalating population of inmates necessitates a substantial increase in penal facilities.
Consequently, there arises a pressing need for strategic planning to identify the location and …

In this research paper, we propose a two-stage hybrid approach that uses machine learning
techniques and meta-heuristic algorithms. The first step, known as data preparation …

ABSTRACT A conventional content‐based image retrieval system (CBIR) extracts image
features from every pixel of the images, and its depiction of the feature is entirely different …

The use of renewable energy seems to be vital as the demand for electricity power rises
quickly. But the traditional electric power grid is not able to face the challenges raised by the …

The secure transmission of communication data between different devices still faces
numerous potential challenges, such as data tampering, data integrity, network attacks, and …

The Internet of Things (IoT) transforms traditional technology by introducing smart devices
into almost every field, enabling real-time monitoring and automation. Despite the obvious …

Distributed power equipment is a type of power supply equipment that is completely based
on the idea of energy cascade utilization. To address electricity and environmental issues, it …