Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective
Outstanding steps towards intelligent transportation systems with autonomous vehicles have
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …
been taken in the past few years. Nevertheless, the safety issue in autonomous vehicles is …
Intelligent multi-modal sensing-communication integration: Synesthesia of machines
In the era of sixth-generation (6G) wireless communications, integrated sensing and
communications (ISAC) is recognized as a promising solution to upgrade the physical …
communications (ISAC) is recognized as a promising solution to upgrade the physical …
Flash: Federated learning for automated selection of high-band mmwave sectors
Fast sector-steering in the mmWave band for vehicular mobility scenarios remains an open
challenge. This is because standard-defined exhaustive search over predefined antenna …
challenge. This is because standard-defined exhaustive search over predefined antenna …
Design of urban road fault detection system based on artificial neural network and deep learning
Introduction In urban traffic management, the timely detection of road faults plays a crucial
role in improving traffic efficiency and safety. However, conventional methods often fail to …
role in improving traffic efficiency and safety. However, conventional methods often fail to …
Deep learning on multimodal sensor data at the wireless edge for vehicular network
Beam selection for millimeter-wave links in a vehicular scenario is a challenging problem, as
an exhaustive search among all candidate beam pairs cannot be assuredly completed …
an exhaustive search among all candidate beam pairs cannot be assuredly completed …
Multimodal and multiuser semantic communications for channel-level information fusion
Recently, semantic communication emerged as one of the enabling technologies for
intelligent communications and multimodal information fusion plays an important role …
intelligent communications and multimodal information fusion plays an important role …
Towards autonomous driving: technologies and data for vehicles-to-everything communication
Autonomous systems are becoming increasingly relevant in our everyday life. The
transportation field is no exception and the smart cities concept raises new tasks and …
transportation field is no exception and the smart cities concept raises new tasks and …
Architecting efficient multi-modal aiot systems
Multi-modal computing (M 2 C) has recently exhibited impressive accuracy improvements in
numerous autonomous artificial intelligence of things (AIoT) systems. However, this …
numerous autonomous artificial intelligence of things (AIoT) systems. However, this …
Application of an ensemble CatBoost model over complex dataset for vehicle classification
The classification of vehicles presents notable challenges within the domain of image
processing. Traditional models suffer from inefficiency, prolonged training times for datasets …
processing. Traditional models suffer from inefficiency, prolonged training times for datasets …
[HTML][HTML] A deep learning-enhanced multi-modal sensing platform for robust human object detection and tracking in challenging environments
In modern security situations, tracking multiple human objects in real-time within challenging
urban environments is a critical capability for enhancing situational awareness, minimizing …
urban environments is a critical capability for enhancing situational awareness, minimizing …