-------- Weitergeleitete Nachricht -------- Betreff: [SLICE-2024 @ MASS 2024] Call for Papers - Smart Living with IoT, Cloud, and Edge Computing Datum: Sat, 15 Jun 2024 04:34:57 +0530 Von: SLICE 2024 slice.2024.iitr@gmail.com

The SixthIEEE International Workshop on Smart Living with IoT, Cloud, and Edge Computing 2024 (SLICE - 2024)

in conjunction with

The 21stIEEEInternational Conference on Mobile Ad Hoc and Smart Systems (MASS - 2024)

Seoul, South Korea, September 23-25, 2024

Workshop website:https://slice.iitr.ac.in https://slice.iitr.ac.in/

Submission link:https://edas.info/N32417 https://edas.info/N32417

Submission deadline:June 21, 2024

Notification deadline:July 26, 2024

Camera-ready deadline:August 9, 2024 (Firm)

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 in smart living. However, they typically require the 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 is derived due to the artificial intelligence yields in the production of tremendous amounts of data. The data increases as a baby boomer requires 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 and service delivery becomes expensive and difficult for cities and governments to manage. Automating systems through the utilization of IoT, Cloud, Edge, Big Data, and M2M tools and technologies demonstrate a 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 for 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 2024. This includes technical, experimental, theoretical, conceptual, or 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, including references. Authors must use the Manuscript Templates for IEEE Conference Proceedings. Reviewing will be single-blind, i.e., authors can keep their names on their submitted papers. For all papers, IEEE reserves the right to exclude the paper from distribution after the conference (e.g., removal from IEEE Xplore) if the paper is not presented at the conference. All papers should be in PDF format and submitted electronically using the Paper Submission link. The Papers selected for presentation will appear in the MASS 2024 Proceedings, which will be published by the IEEE Computer Society and 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 the length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification.

TOPICS OF INTEREST:

The topics of interest include but are not limited to:

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Platform architectures

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Data Analytics

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Privacy-preserving data mining

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Big data integrity and confidentiality

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Data and knowledge as a service

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Security and privacy applications

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Real-time and stream processing techniques and algorithms

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Real-life case studies

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Proactive/predictive and advanced machine learning models

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Simplified and distributed data processing techniques

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Ubiquitous machine learning

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Fog computing

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Smart Living Data Warehouse

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Soft computing techniques

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Optimization

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Resource utilization and Resource Management

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Security and Trust

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Mobile Computing

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Application Development

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Wireless Sensor Networks

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Mobile Data Services

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High-Performance Computing

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Note: Any other topic not covered above and suitable to the conference theme

CONTACT:

All questions about submissions should be emailed to kavitha@ieee.org mailto:kavitha@ieee.org