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IEEE IoT J - SI on AI IoT 2018 : IEEE IoT Journal - Special Issue on AI-Enabled Cognitive Communications and Networking for IoT | |||||||||||||||
Link: http://ieee-iotj.org/wp-content/uploads/2018/02/CFP_IOT_AI.pdf | |||||||||||||||
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Call For Papers | |||||||||||||||
[Please accept our apologies if you receive multiple copies of this Call for Papers (CFP).]
IEEE IoT Journal - Special Issue on AI-Enabled Cognitive Communications and Networking for IoT http://ieee-iotj.org/wp-content/uploads/2018/02/CFP_IOT_AI.pdf ********************************************************************************************************* Submissions Deadline: May 1, 2018 First Reviews Due: July 15, 2018 Revision Due: August 15, 2018 Second Reviews Due/Notification: September 15, 2018 Final Manuscript Due: October 15, 2018 Publication Date: 2018 ********************************************************************************************************* As we enter the Internet of Things (IoT) era in which the communication network is becoming increasingly dynamic, heterogeneous, and complex, it is desirable to have cognitive communication systems and networks that possess multiple interacting capabilities for situation assessment, resource management, online/distributed learning, big-data processing, and intelligent decision making. AI techniques such as deep learning, probabilistic graph model, and reinforcement learning, aided with big data and IoT, provide a wide variety of tools and solutions to many new problems encountered in the design, operation and optimization of cognitive communication systems and networking, including resource management, situation assessment, channel identification, anomaly detection, root cause analysis, online/distributed learning. This special issue aims to bring together researchers and engineers in the fields of IoT, communications & networking, AI, machine learning, and big data to address the emerging challenges in general area of AI enabled cognitive communication and networking for IoT. The topics include, but are not limited to Design of cognitive communication system by AI Performance monitoring in mobile networks IoT network design & optimization Resource management over networks SDN design & optimization by machine learning Graph computing for communication networks Mobile application behaviors & recommendation Signal processing over networks and graphs Stochastic optimization & online learning Machine learning-enabled security methods for IoT Sequential analysis and reinforcement learning for IoT Deep learning applications for IoT Big data system management in IoT Machine learning and big data for 5G Machine learning aided channel identification and estimation Distributed learning in multi-agent systems Multimodal data analysis & information fusion in IoT Anomaly detection & root cause analysis for network data ********************************************************************************************************* Submission: All original manuscripts or revisions to the IEEE IoT Journal must be submitted electronically through IEEE Manuscript Central, http://mc.manuscriptcentral.com/iot. Author guidelines and submission information can be found at http://iot.ieee.org/journal. The IEEE IoT Journal encourages authors to suggest potential reviewers as part of the submission process, which might help to expedite the review of the manuscript. Please suggest only those without conflict of interest. Each submission must be classified by appropriate keywords. ********************************************************************************************************* Guest Editors: Dr. Kai Yang, TongJi University, China Dr. Sijia Liu, MIT-IBM Watson AI Lab, USA Dr. Yasin Yilmaz, University of South Florida, USA Dr. Pin-Yu Chen, IBM Thomas J. Watson Research Center, USA Dr. Lin Cai, University of Victoria, Canada Dr. Anwar Walid, Nokia Bell Labs Research, USA ******************************************************************************************************** |
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