New Topical Collection with ICICC 2021

We’re pleased to announce that ‘Technology and Economics of Smart Grids and Sustainable Energy’ will be publishing a Topical Collection entitled “Emerging Trends in Sustainable Computing”, in collaboration with the 4th International Conference on Innovative Computing and Communication (ICICC-2021). We look forward to publishing the best and most innovative papers from this conference in 2021.

Over the last few decades, sustainable computing assisted by intelligence and ubiquitous sensor technology has increased pervasively in areas like social computing, artificial intelligence-based agent systems, mobile computing, and block-chain-oriented intelligence. Since there is a great interest in developing systems with power-aware and resource-aware capabilities, pervasive computing must be examined by considering the related capabilities affecting ecological and societal issues. In this context, the purpose of the proposed special issue is to provide deep insight on new sustainability-oriented developments within relevant research topics including user experiences of intelligent computing, the Internet-of-Things, sensor networking, mobile and wearable devices.

This Topical Collection will include, but is not limited, to topics such as:

  • Context-Aware Computing for Ensuring Power-Awareness in Sensor Networks
  • Sustainable Systems with Deep Learning
  • Sustainable Systems Supported with Data Visualization
  • Deep learning and Machine learning Algorithms for Sustainable Fog, Edge and Pervasive Computing
  • Eco-Friendly Pervasive Devices/Smart IoTs and RFIDs
  • Reliability of Sustainable Pervasive Communications
  • Pervasive Intelligence for Eco-Friendly, Power-Aware Transportation System
  • Power-Aware, Configurable Daily-Life Pervasive Intelligence
  • Privacy and Security Aspects of Sustainable Pervasive Intelligence
  • Low Power Wearable Devices and IoT Applications
  • Power / Resource-Efficient Architectures for Smart Services of Computing
  • Intelligent Optimization for Sustainable Mobile Intelligence Applications
  • Hybrid Machine and Deep Learning Systems for Sustainable Pervasive Intelligence Applications
  • Ecological and Societal Considerations
  • Environmental Developments within Mobile Intelligence Applications
  • Activity Recognition for Resource Management Capabilities
  • Crowd Sourcing for Ecological Pervasive Computing
  • Ubiquitous Intelligence for Energy and Resource Managing Systems