Latest Updates

• To see the program schedule, Select the "TECHNICAL PROGRAM" tab at MASS Website .
• 17-09-2021: Pre-recorded Video Uploading Instructions are sent through email to the presenting authors.
• 05-06-2021: Notification sent to authors. Acceptance rate is 30% only.
• 30-06-2021: Notification deadline extended to July 5, 2021.
• 10-06-2021: Submission portal (Easychair) will be open for 2-3 days if any one has the plans to submit a paper.
• 20-05-2021: Welcome to SLICE - 2021

About SLICE - 2021

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 the 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 solution 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. 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