WILEY Internet Technology Letters SI on Deep Learning for Future Smart Cities

When:
30 November 2020 all-day
2020-11-30T00:00:00-05:00
2020-12-01T00:00:00-05:00

*CALL FOR PAPERS*

*Special Issue on Deep Learning for Future Smart Cities*
WILEY Internet Technology Letters
https://onlinelibrary.wiley.com/pb-assets/assets/24761508/SI%20Deep%20Learning-1588866342470.pdf

Call for Papers
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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 and Artificial Intelligence. 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 and AI
perspectives. Topics to be included in this special issue include but not
are limited to:

• Deep learning /AI for Urban modelling for Smart cities
• Deep learning /AI for Intelligent infrastructure of Smart cities
• Deep learning/AI for Smart mobility and transportation
• Deep learning/AI for Smart urban governance
• Deep learning/AI for to Resilience and Sustainability of Smart cities
• Deep learning/AI for Smart education
• Deep learning/AI for smart health solution
• Deep learning/AI for Smart integrated grids
• Deep learning/AI for Security and Privacy of smart cities
• Blockchain for Deep learning/AI based finance industries 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:
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Paper Submission Deadline: November 30, 2020
Author Notification: January 15, 2021

Guest Editors:
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Uttam Ghosh, Vanderbilt University, USA, uttam.ghosh@vanderbilt.edu
Chinmay Chakraborty, Birla Institute of Technology, Mesra, India, cchakrabarty@bitmesra.ac.in
Xhaolong Ning, , Dalian University of Technology, China, zhaolongning@dlut.edu.cn
Nawab Muhammad Faseeh Qureshi, Sungkyunkwan University, South Korea, faseeh@skku.edu
Mamoun Alazab, Charles Darwin University, Australia, alazab.m@ieee.org
Al-Sakib Khan Pathan, Independent University, Bangladesh spathan@ieee.org