Color image segmentation can be considered as a cluster procedure in feature space. k-means and its adaptive version, i.e. competitive learning approach are powerful tools for data clustering. But k-means and competitive learning suffer from several drawbacks such as dead-unit problem and need to pre-specify number of cluster. In this paper, we will explore to use competitive and cooperative le...

In distributed mobile robot systems, autonomous robots accomplish complicated tasks through intelligent cooperation with each other. This paper presents behavior learning and online distributed evolution for cooperative behavior of a group of autonomous robots. Learning and evolution capabilities are essential for a group of autonomous robots to adapt to unstructured environments. Behavior lear...

Guided by the cooperation theory, this paper puts forward an interactive and cooperative learning environment design that is based on the self-learning mode and cooperative learning mode, CSCW, Computer Supported Cooperative Work. It includes the research of colony working method and the technologies supporting it as well, and the exploitation of the application system to improve the ways of in...

Background: Cooperative and Collaborative Learning approach with online programs is useful in response to rising demand for university educational system. This study evaluates the use of internet and computer in collaborative teaching and learning process for post graduate nursing students. Method: This is a correlation descriptive study. The population in the study is based on census sampling ...

In cooperative learning students work with their peers to accomplish a shared goal through interdependence, interaction and team work among all group members rather than working alone. This article discusses three main methods of cooperative learning and how to implement cooperative learning in college English reading class. During the process some key elements should be taken into consideratio...

Federated learning (FL) has recently emerged as a promising technology to enable artificial intelligence (AI) at the network edge, where distributed mobile devices collaboratively train shared AI model under coordination of an edge server. To significantly improve communication efficiency FL, over-the-air computation allows large number concurrently upload their local models by exploiting super...