posted by user: MariaEAI || 2526 views || tracked by 1 users: [display]

MLICOM 2017 : 2nd EAI International Conference on Machine Learning and Intelligent Communications

FacebookTwitterLinkedInGoogle

Link: http://mlicom.org/2017/show/home
 
When Aug 5, 2017 - Aug 6, 2017
Where WEIHAI, PEOPLE'S REPUBLIC OF CHINA
Submission Deadline Mar 20, 2017
Notification Due Jun 1, 2017
 

Call For Papers

Along with the fast developing of mobile communications technologies, the amount of high quality wireless services is required and increasing exponentially. According to the prediction of Cisco VNI Mobile Forecast 2016, Global mobile data traffic will increase nearly eightfold between 2015 and 2020, and mobile network connection speeds will increase more than threefold by 2020. Hence, there are still big gap between the future requirements and current communications technologies, even using 4G/5G. How to integrate the limited wireless resources with some intelligent algorithms/schemes and boost potential benefits are the interests of the conference. As an emerging discipline, machine learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence, and explores the study and construction of algorithms that can learn from and make predictions on complicated scenarios. In communication systems, the previous/current radio situations and communication paradigms should be well considered to obtain a high quality of service (QoS), such us available spectrum, limited energy, antenna configurations, and heterogeneous properties. Machine learning algorithms facilitate complicated scenarios analysis and prediction, and thus to make an optimal actions in OSI seven layers. We hope the integrating of machine learning algorithms into communication systems will improve the QoS and make the systems smart, intelligent, and efficient. We invite high quality original research papers describing recent and expected challenges or discoveries along with potential intelligent solutions for future mobile communications and networks. We welcome both theoretical and experimental papers. We expect the papers of the conference to serve as valuable references for a large audience from both academia and industry. Both original, unpublished contributions and survey/tutorial types of articles are encouraged.

http://mlicom.org/2017/media/uploads/Call%20for%20Papers%20MLICOM%202017.pdf

Related Resources

MNLP 2020   4th IEEE Conference on Machine Learning and Natural Language Processing
EAI BDCC 2020   BDCC 2020 - 3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing
WSPML 2020   2020 2nd International Workshop on Signal Processing and Machine Learning (WSPML 2020)
EAI MLICOM 2020   MLICOM 2020 - 5th EAI International Conference on Machine Learning and Intelligent Communications
AICA 2020   O'Reilly AI Conference San Jose
IEEE CiSt 2020   6th IEEE Congress on Information Science and Technology
MAAIDL 2020   Springer Book 'Malware Analysis using Artificial Intelligence and Deep Learning'
IDEAL 2020   IDEAL 2020 : Intelligent Data Engineering and Automated Learning
Chinacom 2020   15th EAI International Conference on Communications and Networking in China
EAI IoTaaS 2020   IoTaaS 2020 - 6th EAI International Conference on IoT as a Service