We present two studies on robustness of feature extractions for an remote classroom intelligent autopilot: (1) robust feature extractions and (2) a simple automated calibration of webcams. For the robust feature extractions, use of quantified vectors is studied as feature extractions of fuzzy classifiers in Perceptual State Machine, i.e. our core Computational Intelligence model for this intell...

vehicular ad-hoc network (vanet) is an important component of intelligent transportation systems, in which vehicles are equipped with on-board computing and communication devices which enable vehicle-to-vehicle communication. consequently, with regard to larger communication due to the greater number of vehicles, stability of connectivity would be a challenging problem. clustering technique as ...

Driven by the exploding popularity of the Internet-of-Things (IoT), the demand for thin, flexible, lightweight intelligent sensing devices is growing rapidly. Two attractive examples are intelligent packaging and wearable healthcare monitoring devices, which help to connect and track / monitor everything / everybody at any time and in any place. The remarkably swift development of flexible and ...

Deep machine learning and reinforcement learning are two complementing fields within the study of intelligent systems. When combined, it is argued that they offer a promising path for achieving artificial general intelligence (AGI). This chapter outlines the concepts facilitating such merger of technologies and motivates a framework for building scalable intelligent machines. The prospect of ut...

“Everything that is connected to the internet is alive”, is going to be the new rule for future. Future is Internet of Things (IoT), we are moving towards it with rapid pace. Often to the way humans use internet, now onwards devices will be the main users of IoT ecosystem [3]. Recent research deeds capitalizing on the state of the art technologies to build a scalable IoT [4]. However, the compr...