This article surveys reinforcement learning approaches in social robotics. Reinforcement is a framework for decision-making problems which an agent interacts through trial-and-error with its environment to discover optimal behavior. Since interaction key component both and robotics, it can be well-suited approach real-world interactions physically embodied robots. The scope of the paper focused...

For the successful business, several factors are considered and prediction is made for sales of product. Here, proposed to forecast Rossamann stores using machine learning algorithms. Sales forecasting done by analyzing customer purchasing behaviour it plays an important role in modern business intelligence. Forecasting future demand key planning activities. helps organizations make improvement...

The advanced development of computer networks and communication technologies has made covert communications easier to construct, faster, undetectable more secure than ever. A channel is a path through which secret messages can be leaked by violating system security policy. detection such dangerous, unwatchable, hidden threats still one the most challenging aspects. This threat exploits methods ...

Recently, computer networks faced a big challenge, which is that various malicious attacks are growing daily. Intrusion detection one of the leading research problems in network and security. This paper investigates presents Deep Learning (DL) techniques for improving Detection System (IDS). Moreover, it provides detailed comparison with evaluating performance, deep learning algorithms detectin...

In the 2013 curriculum, elementary schools are carried out with integrated thematic learning. This study aims to analyze learning activities of grade III. The research uses qualitative methods a phenomenological approach. informant was one III teacher. subjects in this were 19 students. Data collected at SD Negeri 2 Soborejo using interviews, observations, and documentation. data validity techn...