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The International Conference on Applied Soft Computing and Communication Networks (ACN), is an event that brings together several symposiums, workshops, special sessions, plenary/keynote talks and tutorials in the field of computing and communication areas. The conference provides a platform for bringing together researchers, practitioners, and academia to present and discuss ideas, challenges and potential solutions on established or emerging topics related to research and practice in applied soft computing and network communications. The technical program for each affiliated event is independently administered, with each responsible for its own meeting's structure, content, and proceedings. However, the attendees are free to attend technical sessions of other co-affiliated events. 

The conference will be held at Manipal Institute of Technology, Manipal University, Manipal, Karnataka State, India. Manipal is a university town with beauty and natural scenery, one of the most peaceful and soothing travel destinations of India. Situated in the state of Karnataka, Manipal is placed on a plateau between the Western Ghats and the Arabian Sea, Manipal enjoys stunning views from several locations, dotted with fascinating lakes and beaches that serve as attractive tourist points.

 

The following symposiums are currently co-affiliated with ACN'17:

ISTA’17 aims to bring together researchers in related fields to explore and discuss various aspects of intelligent systems technologies and their applications. 

SSCC'17 aims to provide the most relevant opportunity to bring together researchers and practitioners from both academia and industry to exchange their knowledge and discuss their research findings in the area of cyber security. 

​​SIRS'17 aims to bring together researchers from academia, industry and government and to provide an international forum for the sharing, exchange, presentation and discussion of original research results in both methodological issues and different application areas of signal processing and pattern recognition.