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Progress in Machines and Systems
 
Aim and Scope

The aims of this reviewed journal are to provide a forum for original and significant contributions in the field of systems, machines and related technologies. This journal is a medium for scientists, researchers, academics, and practitioners to present their latest research results, ideas, developments and applications in machine system technologies across disciplines.

The intelligent control in the contemporary context, that is, through the aid of what were once called “artificial” devices for sensing, computation, and control. Emphasis is placed on alternatives for analysis and design of control logic rather than on the equipment that makes it possible. This journal summarizes the most important developments in systems and machines research. Specifically, the issues such as neural and conventional classifiers, learning and generalization trade off in classification, the feature variable selection, and related themes are examined. The purpose is to provide a synthesis of the published research in this area and stimulate further
research interests and efforts in the identified topics.

 




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