GIOTAML-2020: Green Internet of Things (G-IoT) and Machine Learning: Towards Smart Sustainable World |
Submission link | https://easychair.org/conferences/?conf=giotaml2020 |
Abstract registration deadline | September 25, 2020 |
Submission deadline | December 15, 2020 |
GIOTAML-2020 is a call for book chapter on Green Internet of Things (G-IoT) and Machine Learning: Towards Smart Sustainable World
Internet of Things is a developing conception, which directs to connect billions of devices with each other. The IoT devices sense, collect, and transfer significant information from their environments. This communication in huge number of devices generates substantial energy needs. Thus the energy utilization in IoT devices is a vital research focus. Green IoT represents the provision of reduction in energy utilization of IoT devices which achieves a feasible environment for IoT systems. These huge data collected by IoT devices, needs an intelligent processing and analysis, which is a key to developing a smart IoT applications. Machine Learning applications can predict sustainable energy consumption standards and provide an interface towards smart and sustainable IoT systems development.
The GIOTML-2020 book will lay the foundation of in-depth analysis of principles of G-IoT, making significant progress towards improvising the quality of life and sustainable environment. In addition to this, the book outlines various Green ICT technologies, explores potential towards diverse real-time areas and also highlights various challenges acting as a barrier towards G-IoT implementation in the real world.
This book will provide insights, how the machine learning together for Green IoT will impact on various applications. It will cover the introduction of Green IOT and Machine learning technique, categorization of the existing energy efficient techniques, its challenges and the opportunities and advanced machine learning technique for Green IOT
Submission Guidelines
All chapters must be original and not simultaneously submitted to another book, journal or conference. The following chapter categories are welcome:
- Full papers describing G-IoT Fundamentals, G-IoT and Machine Learning, Energy Efficient Computing, Energy conservation in smart transportation, Software based green IoT, Hardware based green IoT, Green RFID, Green IoT and Recycling, Resource allocation for green IoT, Energy optimization technique, Green wireless sensor network, G-IoT and Deep learning etc. Not limited to...
- Interested authors must refer the guidelines for submission: https://www.scrivenerpublishing.com/guidelines.php
List of Topics
- Fundamentals of Green IoT
- Green IoT and Machine Learning a combinatory approach and synthesis
- ML enabling techniques for reducing energy consumption of IoT devices
- Big Data for Green IoT
- Green IoT for Smart Everything
- Ensemble learning technique for Green IoT
- Incremental learning for real time data
- Taxonomy and energy optimization techniques in IoT
- Deep Learning and Green IoT
- Green IoT and ML for agriculture
- Green IoT and ML for Transportation
- Green IoT and ML for Healthcare
- Social networking and computing for green IoT
- Green IoT for industry automation
- Green IoT and Recycling
- Futuristic computational challenges in G-IoT
- Software Based Green IoT
- Hardware Based Green IoT
- Smart Computing
- Resource allocation for green IoT
- Energy efficient computing
- Adaptive Learning
- Imbalanced Data handing
- Not Limited to..................
Book Editors:
- Roshani Raut, Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
- Sandeep Kautish, LBEF Campus, Opp Maitidevi Temple, Kathmandu Nepal, (In Academic Collaboration with Asia Pacific University of Technology & Innovation, Malaysia)
- Zdzislaw Polkowski, Department of Business Intelligence in Management, Wroclaw University of Economics and Business, Poland
- Anil Kumar, Computer Science Education, DIT University, Dehradun, India
- Chuan-Ming Liu, Department of Computer Science and Information Engineering (CSIE), National Taipei University of Technology (Taipei Tech), Taiwan
Publication
GIOTAML-2020 proceedings will be published by the Scrivener Publishing, Wiley.
Contact
All questions about submissions should be emailed to giotamlssw@gmail.com