Fast anomaly identification based on multiaspect data streams for intelligent intrusion detection toward secure industry 4.0
Various cyber attacks often occur in logistics network of the Industry 4.0, which poses a
threat to Internet security. Intrusion detection can intelligently detect anomalous activities …
threat to Internet security. Intrusion detection can intelligently detect anomalous activities …
A blockchain‐and artificial intelligence‐enabled smart IoT framework for sustainable city
I Ahmed, Y Zhang, G Jeon, W Lin… - … Journal of Intelligent …, 2022 - Wiley Online Library
Advancements in digital technologies, such as the Internet of Things (IoT), fog/edge/cloud
computing, and cyber‐physical systems have revolutionized a broad spectrum of smart city …
computing, and cyber‐physical systems have revolutionized a broad spectrum of smart city …
KD-PAR: A knowledge distillation-based pedestrian attribute recognition model with multi-label mixed feature learning network
In this paper, a novel knowledge distillation (KD)-based pedestrian attribute recognition
(PAR) model is developed, where a multi-label mixed feature learning network (MMFL-Net) …
(PAR) model is developed, where a multi-label mixed feature learning network (MMFL-Net) …
An effective detection approach for phishing websites using URL and HTML features
Today's growing phishing websites pose significant threats due to their extremely
undetectable risk. They anticipate internet users to mistake them as genuine ones in order to …
undetectable risk. They anticipate internet users to mistake them as genuine ones in order to …
Interaction-enhanced and time-aware graph convolutional network for successive point-of-interest recommendation in traveling enterprises
Extensive user check-in data incorporating user preferences for location is collected through
Internet of Things (IoT) devices, including cell phones and other sensing devices in location …
Internet of Things (IoT) devices, including cell phones and other sensing devices in location …
Privacy-aware point-of-interest category recommendation in internet of things
In location-based social networks (LBSNs), extensive user check-in data incorporating user
preferences for location is collected through Internet of Things devices, including cell …
preferences for location is collected through Internet of Things devices, including cell …
Temporal quality degradation in AI models
As AI models continue to advance into many real-life applications, their ability to maintain
reliable quality over time becomes increasingly important. The principal challenge in this …
reliable quality over time becomes increasingly important. The principal challenge in this …
Analysis of environmental factors using AI and ML methods
The main goal of this research paper is to apply a deep neural network model for time series
forecasting of environmental variables. Accurate forecasting of snow cover and NDVI are …
forecasting of environmental variables. Accurate forecasting of snow cover and NDVI are …
A pavement distresses identification method optimized for YOLOv5s
K Guo, C He, M Yang, S Wang - Scientific Reports, 2022 - nature.com
Automatic detection and recognition of pavement distresses is the key to timely repair of
pavement. Repairing the pavement distresses in time can prevent the destruction of road …
pavement. Repairing the pavement distresses in time can prevent the destruction of road …
A novel short-term traffic prediction model based on SVD and ARIMA with blockchain in industrial internet of Things
With the construction and development of smart cities, accurate and real-time traffic
prediction plays a vital role in urban traffic. However, traffic data has the characteristics of …
prediction plays a vital role in urban traffic. However, traffic data has the characteristics of …