IoT Devices –Internet of Things (IoT)devices such as smart home appliances, security cameras, and even medical devices are common targets for hackers. These devices are often poorly secured and typically hacked to gain access to personal information or even to control the device remotely. ...
unfortunately, are one of the most vulnerable road users and account for the largest proportion of road crash admissions to A&E in the UK. That’s because we’re not only vulnerable when a crash does happen, but we’re also susceptible to so many types of accidents. ...
Per km travelled, Dutch cyclists are 3x less likely to die and 4x less likely to be injured than those in the UK, 5x less likely to be killed and 30x less likely to be injured than in the USA (statistics foundhere, page 506). Read more aboutthe safety of cyclists in the Netherlands...
A DDoS attack leverages a large number of machines, often distributed across various locations around the world. These machines, typically the compromised devices of unknowing victims, flood the target with traffic simultaneously, making it much harder to defend against. The distributed nature of a ...
A DDoS attack leverages a large number of machines, often distributed across various locations around the world. These machines, typically the compromised devices of unknowing victims, flood the target with traffic simultaneously, making it much harder to defend against. The distributed nature of a ...
Lane changing is a frequent traffic accident scenario. To improve the driving safety in lane changing scenarios, the blind spot display of lane changing is increased through human–machine interaction (HMI) interfaces in intelligent vehicles to improve the driver’s rate of risk perception with regar...
The paper proposed the review of the existing parking slot types and their detection techniques. The review will highlight the importance and scope of a smart parking system for smart cities. Keywords: smart cities; smart parking; machine learning; dashcams; shuttle parking system; fish-eye; ...
To the best of our knowledge, this study is the first to highlight the interactions in social media and introduce a graph convolutional model for predicting HATs. The original contributions of this study are as follows: (1) For effectively modeling the interactions hidden in social media, this...