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Special Issue "Developing “Smartness” in Emerging Environments and Applications with Focus on the Internet of Things (IoT)"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 30 September 2020.

Special Issue Editors

Prof. Dr. Rashid Mehmood
Website
Guest Editor
Professor of Big Data Systems | Director of Research, Training, and Consultancy, HPC Center, King Abdul Aziz University, Jeddah, Saudi Arabia
Interests: high performance computing (HPC); big data; AI and IoT with applications in smart cities, healthcare, transportation, logistics
Prof. Dr. Juan M. Corchado
Website
Guest Editor
IoT European Digital Innovation Hub, Full Professor at the University of Salamanca, Visiting Professor at the Osaka Institute of Technology, Visiting Professor at the Universiti Malaysia Kelantan, President of the IEEE SMC (Spanish Chapter), Director of BISITE - Bioinformatics Intelligent Systems and Educational, Technology Research Group, Salamanca, Spain
Interests: artificial intelligence; machine learning; edge computing; distributed computing; blockchain; consensus model; smart cities; smart grid
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

“Smartness”, which underpins smart cities and societies, is defined by our ability to engage with our environments, analyse them, and make decisions, all in a timely manner. We are witnessing a rapid evolution, rather a transformation, of our societies. Novel solutions are being developed and adopted in work and life, benefitting from the growing ability to monitor and analyse our environments in near real time. A range of devices and technologies are being used for monitoring purposes including the Internet of Things (IoT), GPS, cameras, RFIDs, smartphones, smartwatches, other smart wearables, and social media. These devices produce diverse data that are analysed using artificial intelligence (AI) and other computational intelligence methods and used for decision-making purposes. While significant advances have been made in developing smart applications and technologies, a systematic effort to define and develop “smartness” is missing.  An investigation into the theoretical and technological foundations of this “smartness” can help systemise and mass-produce technologies for autonomous production and operations of smart environments. This particular Special Issue focusses on IoT with investigations into topics such as bringing “smartness” to the IoT layer using technologies including cloud, fog and edge computing, high-performance computing (HPC), big data, blockchain, and/or AI.   

Prof. Dr. Rashid Mehmood
Prof. Dr. Juan M. Corchado
Prof. Dr. Tan Yigitcanlar
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Integration of IoT and big data for theoretical or practical developments of “smartness”
  • IoT and edge, fog, and cloud computing for developing “smartness”
  • IoT and high-performance computing for developing “smartness”
  • IoT and blockchain for developing “smartness”
  • IoT and cutting-edge artificial intelligence methods (deep learning, ensemble methods, reinforcement learning, etc.) for developing “smartness”
  • Social media-based development of “smartness”
  • IoT-based “smartness” in healthcare
  • IoT-based “smartness” in transportation
  • IoT-based “smartness” in various industries
  • Development of “smartness” for privacy and security

Published Papers (1 paper)

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Open AccessViewpoint
Can Building “Artificially Intelligent Cities” Safeguard Humanity from Natural Disasters, Pandemics, and Other Catastrophes? An Urban Scholar’s Perspective
Sensors 2020, 20(10), 2988; https://doi.org/10.3390/s20102988 - 25 May 2020
Abstract
In recent years, artificial intelligence (AI) has started to manifest itself at an unprecedented pace. With highly sophisticated capabilities, AI has the potential to dramatically change our cities and societies. Despite its growing importance, the urban and social implications of AI are still [...] Read more.
In recent years, artificial intelligence (AI) has started to manifest itself at an unprecedented pace. With highly sophisticated capabilities, AI has the potential to dramatically change our cities and societies. Despite its growing importance, the urban and social implications of AI are still an understudied area. In order to contribute to the ongoing efforts to address this research gap, this paper introduces the notion of an artificially intelligent city as the potential successor of the popular smart city brand—where the smartness of a city has come to be strongly associated with the use of viable technological solutions, including AI. The study explores whether building artificially intelligent cities can safeguard humanity from natural disasters, pandemics, and other catastrophes. All of the statements in this viewpoint are based on a thorough review of the current status of AI literature, research, developments, trends, and applications. This paper generates insights and identifies prospective research questions by charting the evolution of AI and the potential impacts of the systematic adoption of AI in cities and societies. The generated insights inform urban policymakers, managers, and planners on how to ensure the correct uptake of AI in our cities, and the identified critical questions offer scholars directions for prospective research and development. Full article
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Intelligence shaping the future of cities and regions
Authors: Christina Kakderi1; Nicos Komninos1; Luca Mora2; Anastasia Panori1
Affiliation: 1URENIO Research, Aristotle University of Thessaloniki, 2Edinburgh Napier University
Abstract: In this paper on intelligence and the digital transformation of cities and regions, we discuss how different forms of intelligence influence bottom-up processes of formation and planning of cities and regions. Based on literature and case studies, we examine how human intelligence using data analytics, collective intelligence deriving from crowdsourcing platforms, artificial intelligence enabling forecasting from IoT and sensor data, and connected intelligence bringing all these forms of intelligence together, give rise to a new generation of city planning projects that optimise user behaviour, introduce a new logic to environmental sustainability, and guide cities towards zero objectives (zero CO2, zero waste, zero vision severe traffic accidents).

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