Special Session on Recent Trends in Machine Learning using IoT
- P. R Anisha (Ph.D), Stanley College of Engineering and Technology for Women, Hyderabad, India.
- Dr. C. Kishor Kumar Reddy, Stanley College of Engineering and Technology for Women, Hyderabad, India.
Theme of Session
The goal of this special session is to provide a platform for researchers, engineers and industrial practitioners from different fields to share and exchange their ideas, research results and experiences in the field of AI advances and developments in IoT. The concepts of pervasive computing and ubiquitous computing are related to the internet of things, in the sense that all these paradigms are enabled by large-scale embedded sensor devices. On the other hand, Machine Intelligence aims to design and develop robust automated decision making systems. The main objective is to minimize the manual interruptions and maximize the accuracy of the machine made thoughts in the system.
Scope and Interests
Contributions to this special session are welcome to present novel methods, algorithms, frameworks, architectures, platforms and applications. Potential topics of interest include, but are not limited to the following:
- Advances in AI, Machine Learning, Deep Learning
- AI and Big Data developments in life quality and healthcare
- Neural Networks in IoT
- IoT Based Sensor Data Analysis
- AI for IoT and Cloud Computing Integration
- Interpretable models, e.g., Rule Learning or Decision Tree Learning
- Data Computational Model for IoT
- IoT edge and Cloud Architectures
- Mathematical Modeling for Intelligent IoT System
- Social Implications for IoT Intelligent
- Machine Learning and Deep Learning Approaches Data Analytics
- eGovernment, eCommerce, eScience and Creative Technologies for IoT and Big Data
- Business Process as a Service (BPaaS) including Workflows and Supply Chain in IoT and Big Data
- Architecture for Secure and Interactive IoT
- Parallel and Distributed Learning
- IoT Communication Technologies
All accepted and registered papers will be published in Advances in Intelligent Systems and Computing (AISC) Series, Springer. Indexing: The books of this series are submitted to ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and SpringerLink.
Submission of full papers: November 12, 2019
Notification of papers: November 15, 2019
Please submit your paper (in Word (.docx) format) to the Email IDs
With Name of Special Session: "RECENT TRENDS IN MACHINE LEARNING USING IoT" mentioned in the subject line.
For template details, please visit:
Conference Website: https://ficta2020.nitk.ac.in/
Conference Brochure: https://ficta2020.nitk.ac.in/resource/brochure.pdf
Special Session Contact
For any further queries related to this special session, please contact: