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Von: vikas chouhan vikaschouhan.iit@gmail.com Datum: 24. Mai 2021 um 09:22:20 MESZ An: tccc-announce@comsoc.org Betreff: [TCCC-ANNOUNCE] CFP: [SLICE-2021] - Smart Living with IoT, Cloud, and Edge - Submission Deadline: June 10, 2021 Antwort an: vikas chouhan vikaschouhan.iit@gmail.com

---------------------------------------------------------------------------------------------------------- Apologies for cross-postings and multiple postings! Please forward to anyone who might be interested.

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*The Fourth International Workshop on Smart Living with IoT, Cloud, and Edge Computing (SLICE-2021) in conjunction with The 18th International Conference on Mobile Ad-Hoc and Smart Systems ( MASS - 2021)* Denver, CO, United States, October 4-7, 2021 Conference website https://drpskfec.github.io/slice2021/ Submission link https://easychair.org/conferences/?conf=slice2021 Abstract registration deadline June 10, 2021 Submission deadline June 10, 2021

ABOUT THE WORKSHOP: Smart health, smart cities, smart industries, smart agriculture, smart environment, smart transportation, smart homes, smart education, smart business, smart energy, smart grids, and so on are the components that aid mankind for smart living. However they require, typically, design and development of innovative technologies, standards, and protocols apart from their architectures and frameworks. IoT has emerged as an extension to Wireless Sensor Networks (WSNs) with low-cost and Internet-enabled solutions for connecting and accessible anything from anywhere. In addition, such smartness derived due to the artificial intelligence yields in production of tremendous amounts of data. The data increases as a baby-boomer requiring efficient tools to analyze and extract suitable inferences for services in order to extend smart living. Cloud, Edge and Big Data acquired enormous attention in the light of massive data storage and analytics. With the large cohorts of gazette shrewdness and hi-tech population, the infrastructure, service delivery becomes expensive and difficult to manage for cities and governments. Automating systems through utilization of IoT, Cloud, Edge, Big Data, and M2M tools and technologies demonstrate great opportunity to reduce operating costs significantly, utilize those savings more effectively, and provide better services to communities for smarter living. This workshop provides a platform to the researchers to publish their innovative ideas, extensive analysis of their comparative studies, critical review of existing research and position papers in the above areas to meet the smart living requirements.

SUBMISSION PROCEDURE: We are pleased to invite you to submit original contributions to SLICE 2021 via the official submission system at https://easychair.org/conferences/?conf=slice2021. This can include, technical and experimental, theoretical, conceptual, or a survey. All submissions will be peer-reviewed on the basis of relevance, originality, importance and clarity.

Submissions Guidelines and Proceedings:

Papers must be 6 pages maximum in IEEE format, 10pt font using the IEEE 8.5" x 11" two-column format, single space, A4 format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper must not exceed the stated length (including all figures, tables and references). The Papers selected for presentation will appear in the MASS 2021 Proceedings, which will be published by the IEEE Computer Society and be submitted to IEEE Xplore for inclusion.

Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification.

Papers should be submitted electronically by the deadline at the https://easychair.org/conferences/?conf=slice2021 link.

TOPICS OF INTEREST:

The topics of interest include but are not limited to:

Platform architectures Data analytics Privacy preserving data mining Big data integrity and confidentiality Data and knowledge as a service Security and privacy applications Real-time and stream processing techniques and algorithms Real-life case studies Proactive/predictive and advanced machine learning models Simplified and distributed data processing techniques Ubiquitous machine learning Fog computing Smart living data warehouse Soft computing techniques Optimization Resource utilization and Resource Management Security and Trust Mobile Computing Application Development Wireless Sensor Networks Mobile Data Services High Performance Computing Any other topic not covered above and suitable to the conference theme

CONTACT:

All questions about submissions should be emailed to kkavitha@pp.iitr.ac.in

*Regards,*

Vikas Chouhan

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