[AISWorld] CFP- Connection Science- SI: Intelligent Data Analytics for Internet of Underwater Things

[Oscar Sanjuan Martinez]

*Dear Editors,*

*Thank you very much for your mail. **I hope you and your family are safe
and well in this pandemic situation.*

*Just a gentle reminder, I have not received the guest editor login
credentials. Could you please resolve my issue such that I will
invite original research work to be submitted in our SI. Looking forward to
hearing from you.  *



*Regards,*

*Dr. Oscar Sanjuán Martínez,*

*Universidad Internacional de la Rioja (UNIR), Logroño, Spain.*

*Email: **Oscar.sanjuan at unir.net* <Oscar.sanjuan at unir.net>*; *
*Oscar.sanjuan at ieee.org* <Oscar.sanjuan at ieee.org>

On Sat, Apr 18, 2020 at 6:15 AM Editorial Manager <
journaleditorialmanager at outlook.com> wrote:

>
> [We apologize if you receive multiple copies of this Call For Papers]
>
>
> Special Issue on  "Intelligent Data Analytics for Internet of Underwater
> Things"
> Connection Science, Taylor & Francis
> SI link:
> https://think.taylorandfrancis.com/special_issues/connection-science-intelligent-data-analytics/?utm_source=TFO&utm_medium=cms&utm_campaign=JPC13858
>
> Water bodies including oceans and lakes cover one-third of the earth's
> surface. Due to the frequent changes in the underwater environment like
> ocean temperature, carbon sink, sea-level rise, coastal erosion, etc.,
> incorporating periodic monitoring of change detection is essential. The
> recent advances in wireless sensing technologies have made considerable
> changes in the exploration and monitoring of underwater resources. This
> includes interconnecting the Internet of Things (IoT) with underwater
> objects which leads to a new paradigm called the Internet of Underwater
> Things (IoUT). Using IoUT a network of physical devices is created which
> enables underwater data collection with improved communication. The data
> sensed through various devices are analyzed and used for research, and
> decision-making in many fields such as defense, coastal environment
> protection, consumer market, fishing & aquaculture industry. However, to
> support the IoUT concept, an effective underwater wireless sensor network
> system should be equipped with sensor nodes and smart sensing devices. Some
> of the smart interconnected underwater objects that can be employed for
> data analytics are from autonomous underwater vehicles, navigation ships,
> buoys, underwater robots, etc.
>
> The management of an extensive amount of raw data sensed by the underwater
> objects is to be analyzed. Also, the data generated from the underwater
> objects are real-time, which increases implemental difficulties for
> analyzing the data due to its enormous volume and variety. Combining IoUT
> and data analytics provides potential growth in monitoring underwater by
> consistently giving insightful calculations for a variety of data. With the
> continuous increase of real-time and heterogeneous data, the analysis
> process becomes crucial in case of accurate prediction. Also, there may be
> sensitive information which is to be analyzed in the process and can end up
> in irreversible damages to the existing system and environment. Using the
> intelligent application with IoUT overcomes problems related to sensitive
> information and other prerequisites. Since Intelligent Data Analytics is an
> interdisciplinary study concerned with intelligent analysis of huge data,
> it provides a timely prediction for any critical underwater situation.
> Furthermore, Intelligent Data Analytics also extracts necessary data
> captured by the IoUT based sensors and helps in identifying insightful
> information. Such insightful information is powerful for underwater
> researchers, government & non-governmental organizations, and professionals
> actively seeking to better manage underwater resources.
>
> This special issue on "Intelligent Data Analytics for Internet of
> Underwater Things" will independently focus on providing an arena to share
> the authentic works related to the intelligent data analytic methods,
> techniques and technologies with application of internet of underwater
> things.
>
> Topics of interest include but are not restricted to:
> Intelligent data analytics architecture for the Internet of Underwater
> Things
> Intelligent Control Algorithm and Dynamic Management Scheme for Underwater
> IoT Applications
> Future Intelligent Underwater Network and System Architectures
> Artificial Life and Swarm Intelligence for Underwater Applications
> Intelligent Learning approaches for modeling of Internet of Underwater
> Things applications
> AI and Big data analytics for Internet of Underwater Things
> A Study of Intelligent Techniques for Control of Underwater Disasters
> Intelligent prediction models for the near-future Internet of Underwater
> Things
> AI Technology for Underwater Robots
> Intelligent Search and Optimization Methods in Underwater Applications
> Recent Advances in Intelligent Data Analytics and Internet of Underwater
> Things
> Privacy-Preserving and Security Approaches for Intelligent Data Analytics
> Intelligent Sensing, Data Interpretation, and Interpretation of Data from
> Multiple IoUT Sources
>
> Dates
> Manuscript Submission Deadline Date: 31st August, 2020
> Authors Notification Date: 28th November, 2020
> Revised Papers Due Date: 27th December, 2020
> Final notification Date: 28th February, 2021
>
> For further details on the submission process, please see the instructions
> for authors at
>
> https://www.tandfonline.com/action/authorSubmission?show=instructions&journalCode=ccos20
>
>
> Special Issue Editor(s)
> Dr. Oscar Sanjuán Martínez, Universidad Internacional de la Rioja (UNIR),
> Oscar.sanjuan at ieee.org
> Giuseppe Fenza, University of Salerno, gfenza at unisa.it
> Ruben Gonzalez Crespo, Universidad Internacional de la Rioja (UNIR),
> ruben.gonzalez at unir.net
>
>