The effectiveness of any Machine Learning process depends on the accuracy of annotated data that is used to train a learner.However, manual annotation is expensive.Hence, researchers adopt a semi-supervised approach called active learning that aims to achieve state-of-the-art performance using minimal number of samples.Although it boosts classifier
IoT devices are exponentially increasing in all aspects of our lives.Via the web interfaces of IoT devices, attackers can control IoT devices by exploiting their vulnerabilities.In order to guarantee IoT security, testing these IoT devices to detect vulnerabilities is very important.In this work, we present FirmHunter, an automated state-aware and
BackgroundAnomalous visual perception is a common feature of schizophrenia plausibly associated with impaired social cognition that, in turn, could affect social behavior.Past research suggests impairment in biological motion perception in schizophrenia.Behavioral and functional magnetic resonance imaging (fMRI) experiments were conducted to verify
Recent attention to industrial peak shaving applications sparked an increased interest in battery energy storage.Batteries provide a fast and high power capability, making them an Games ideal solution for this task.This work proposes a general framework for sizing of battery energy storage system (BESS) in peak shaving applications.A cost-optimal s