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SI_Wiley_ITL_DLFuture 2020 : Special Issue of Wiley ITL - Deep Learning for Future Smart Cities

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Link: http://URL: https://onlinelibrary.wiley.com/pb-assets/assets/24761508/ITL-SI-CFP-June-2020-1575280560643.docx
 
When N/A
Where N/A
Submission Deadline Jun 30, 2020
Notification Due Aug 30, 2020
Categories    deep learning   future   smart cities   smart technology
 

Call For Papers

CALL FOR PAPERS

Special Issue on
Deep Learning for Future Smart Cities
URL: https://onlinelibrary.wiley.com/pb-assets/assets/24761508/ITL-SI-CFP-June-2020-1575280560643.docx

Journal - Internet Technology Letters, Wiley
https://onlinelibrary.wiley.com/journal/24761508

Call for Papers
-----------------------
On the onset of a new era of global transformation in which residents and their surrounding environments are increasingly connected through rapidly-changing intelligent technologies. This transformation offers great promise for improved wellbeing and prosperity but poses significant challenges at the complex intersection of technology and society. Future smart connected cities in turn, aims to synergistically integrate intelligent technologies with the natural and built environments, including infrastructure, to improve the social, economic, and environmental well-being of those who live, work, or travel within it.

In recent years, Deep Learning approaches have emerged as powerful computational models and have shown significant success to deal with a massive amount of data in unsupervised settings. Deep learning is revolutionizing because it offers an effective way of learning representation and allows the system to learn features automatically from data without the need of explicitly designing them. With the emerging technologies on the Internet of Things (IoT), wearable devices, cloud computing and data analytics offer the potential of acquiring and processing tremendous amount of data from the physical world. Recently, deep learning based algorithms help efficiently leveraging IoT and Big Data aspects in the development of personalized services in Smart Cities.

This special issue solicits contributions from the field of Smart City Data analytics using deep learning. Each submitted paper should cover the solutions with the state-of-the-art and novel approaches for the IoT problems and challenges in deep learning perspectives. Topics to be included in this special issue include but not are limited to:

• Deep learning for Urban modelling for Smart cities
• Deep learning for Intelligent infrastructure of Smart cities
• Deep learning for Smart mobility and transportation
• Deep learning for Smart urban governance
• Deep learning for to Resilience and Sustainability of Smart cities
• Deep learning for Smart education
• Deep learning for smart health solution
• Deep learning for Smart integrated grids
• Deep learning for Security and Privacy of smart cities

The length of the articles should not exceed 6 pages in total. The guest editors maintain the right to reject papers they deem to be out of scope of this special issue. Only originally unpublished contributions and invited articles will be considered for this special issue.

The papers should be formatted according to the ITL guidelines
(https://onlinelibrary.wiley.com/page/journal/24761508/homepage/forauthors.html).

Authors should submit a PDF version of their complete manuscript via ITL submission portal at (https://mc.manuscriptcentral.com/itl) according to the timetable below.
For more information on formatting (Latex and word), please refer to:
https://onlinelibrary.wiley.com/journal/24761508.

Important Dates:
------------------------
Paper Submission Deadline: June 30, 2020
Author Notification: July 31, 2020

Guest Editors:
-----------------------
Uttam Ghosh, Vanderbilt University, USA, uttam.ghosh@vanderbilt.edu
Sayan Sarcar, University of Tsukuba, Japan, sayans@slis.tsukuba.ac.jp
Mamoun Alazab, Charles Darwin University, Australia, alazab.m@ieee.org
Al-Sakib Khan Pathan, Southeast University, Bangladesh spathan@ieee.org

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