Through machine learning algorithms, social media access control no longer needs to be a burden of the user, as this system will automatically allow or deny followers access to social media content.
A traffic-aware patching scheme of intermediate nodes could greatly improve the cyber security of wireless networks connected to IoT devices.
When it comes to driver safety, smartphones do not have a good reputation. But new research suggests that, through machine learning, these devices can help identify abnormal driving behaviors to improve driver’s habits.
A team of researchers developed a Twitter authentication system that uses both sentimentality and user reputation to identify credibility.
A new wearable that uses bio-signal acquisition could improve health care by allowing doctors and nurses to do constant monitoring of patient vital signs.
By using a robot and wearable devices, researchers developed an emergency response system that keeps senior citizens safe and secure while home alone.
By developing a main state machine framework, businesses can easily adapt the software of humanoid robots to fit their environment. However, research shows that there is still work to be done on the low-cost hardware for these robots.
With commercial-off-the-shelf components, researchers developed an autonomous robot to inspect the structural health of high-risk infrastructure.
Through behavioral biometrics, a wearable glasses continuous authentication system can improve privacy protection by detecting imposters through voice and touch.