International Conference on Emerging Technologies in Computing, London, UK

Abbrevation

iCETiC

Link

http://www.icetic18.theiaer.org/index.html

City

London

Country

Deadline Paper

2018-04-23

Start Date

2018-08-23

End Date

2018-08-24

Abstract

The conference will draw together researchers and developers from academia and industry. Selected papers for consideration for further publication from the conference may be recommended to the affiliated journals, please refer to the Call for Paper for more information. There will be a range of events from keynote addresses, technical and poster sessions, workshops and tutorials. The formal sessions will be supplemented by an excellent social programme exploring the Greenwich UNESCO World Heritage Site. Publication –––––––––––––––––– iCETiC ’18 Proceedings will be published in the Springer–Verlag Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) Series, in cooperation with EAI. Topics Cloud, IoT and Distributed Computing – Internet of Things, Everything and Nano–Things – Cloud Computing, Fog Computing and Big Data – Location–dependent/Personalized Application – System Architectures and Platforms – Service–Oriented Architectures (SOA) – Embedded Computing with Applications – Low Power, Energy–Aware Pervasive Computing – Smart Devices – Middleware Services and Agent Technologies – Intelligent Devices and Environments – Security and Privacy Issues for Pervasive Systems – Ubiquitous Computing, etc. Software Engineering – Methods and Techniques for Software Dev. – Software Maintenance – Requirements Engineering – Object–Oriented Technologies – Re–engineering and Reverse Engineering – Software Reuse – Software Management and Risk Analysis – Software Architectures Design – Middleware Components – Software Testing and Quality Assurance – Verification and Validation – Software Evaluation, etc. Communications Engineering and Vehicular Technology – Computer Networking – Telecommunication Systems AI, Expert Systems and Big Data Analytics – Artificial Intelligence <div>– Machine Learning </div><div> </div>