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
Deep learning for trajectory data management and mining: A survey and beyond
Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …
mining, garnering widespread attention due to its crucial role in various practical …
Analysis of anomaly detection in surveillance video: recent trends and future vision
Video Surveillance (VS) systems are popular. For enhancing the safety of public lives as
well as assets, it is utilized in public places like marketplaces, hospitals, streets, education …
well as assets, it is utilized in public places like marketplaces, hospitals, streets, education …
Intelligent dual stream CNN and echo state network for anomaly detection
Traditional video surveillance systems detect abnormal events via human involvement,
which is exhausting and erroneous, while computer vision-based automated anomaly …
which is exhausting and erroneous, while computer vision-based automated anomaly …
Privacy-preserving generation and publication of synthetic trajectory microdata: A comprehensive survey
The generation of trajectory data has increased dramatically with the advent and
widespread use of GPS-enabled devices. This rich source of data provides invaluable …
widespread use of GPS-enabled devices. This rich source of data provides invaluable …
Safety: A spatial and feature mixed outlier detection method for big trajectory data
Trajectories, as sequential data records generated by continuously collecting sample points
from positioning sensors, have the capability to effectively depict the motion patterns of …
from positioning sensors, have the capability to effectively depict the motion patterns of …
Augmenting the Robustness and efficiency of violence detection systems for surveillance and non-surveillance scenarios
Violence detection holds immense significance in ensuring public safety, security, and law
enforcement in various domains. With the increasing availability of video data from …
enforcement in various domains. With the increasing availability of video data from …
[HTML][HTML] Mipo: How to detect trajectory outliers with tabular outlier detectors
Trajectory outlier detection is one of the fundamental data mining techniques used to
analyze the trajectory data of the Global Positioning System. A comprehensive literature …
analyze the trajectory data of the Global Positioning System. A comprehensive literature …
Wooden spoon crack detection by prior knowledge-enriched deep convolutional network
Since the outbreak of COVID-19, in order to reduce people's contact, the takeaway business
has been developed rapidly, bringing a large demand for disposable and degradable …
has been developed rapidly, bringing a large demand for disposable and degradable …
ARDE-N-BEATS: an evolutionary deep learning framework for urban traffic flow prediction
Accurate and reliable traffic flow prediction is difficult due to the highly nonlinear, complex,
and stochastic natures of urban traffic flow data, but its solutions are critically important for …
and stochastic natures of urban traffic flow data, but its solutions are critically important for …
[HTML][HTML] Detecting metro service disruptions via large-scale vehicle location data
Urban metro systems are often affected by disruptions such as infrastructure malfunctions,
rolling stock breakdowns and accidents. The crucial prerequisite of any disruption analytics …
rolling stock breakdowns and accidents. The crucial prerequisite of any disruption analytics …