With the popularity of posting memes on social platforms, severe negative impact hateful is growing. As existing detection models have lower accuracy than humans, still a challenge to statistical learning and artificial intelligence. This paper proposed multi-task method consisting primary multimodal task two unimodal auxiliary tasks address this issue. We introduced self-supervised generation ...

Generating motions for robot arms in real-world complex tasks requires a combination of approaches to cope with the task structure, environmental noise, and hardware imperfections. In this paper we present an efficient framework for adaptive motion task learning on real hardware that consists of task transfer, probabilistic roadmaps (PRM), and an online reinforcement learning algorithm. Online ...

background: according to the available evidence and experiments, problem-based learning is one of the most successful methods to achieve higher educational objectives. in this method, the discussion about the medical sybjects to be learned by the students is based on a real clinical case and participation of the students. various advantages and disadvantages of this method have been addressed i...

The aim of this paper is to create a task-based model for L2 learners to reach native-like pronunciation using technology. The model is based on three major principles. Firstly, language-learning system is that it need to give learners an opportunity to make sense for themselves. Secondly, Build up the modified 3Ms (Meaning Making Mechanisms), (Lian, A.P. 2000) which is operating in the heads o...

Since software systems play an important role in applications more than ever, the security has become one of the most important indicators of softwares.Cloud computing refers to services that run in a distributed network and are accessible through common internet protocols. Presenting a proper scheduling method can lead to efficiency of resources by decreasing response time and costs. This rese...