AMCI 2022
Special Session on Adaptive Machine Learning in the Cloud Based IoT
at the 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022)Ho Chi Minh City, Vietnam
Conference website: http://www.aciids.pwr.edu.pl
Special Session Organizers
Prof. Abhishek Bajpai
Department of Computer Science and Engineering
Government Engineering College, Kannauj ,Uttar Pradesh, India
E-mail: abhishek@reck.ac.in
Prof. Vivek Srivastava
Department of Computer Science and Engineering
Government Engineering College, Kannauj ,Uttar Pradesh, India
E-mail: vivek@reck.ac.in
Department of Computer Science and Engineering
Government Engineering College, Kannauj ,Uttar Pradesh, India
E-mail: abhishek@reck.ac.in
Prof. Vivek Srivastava
Department of Computer Science and Engineering
Government Engineering College, Kannauj ,Uttar Pradesh, India
E-mail: vivek@reck.ac.in
Objectives and topics
Machine learning techniques are delivering a promising solution to the industry for building Internet of Things (IoT) systems and to make innovation at a rapid pace. The Open IoT cloud platform offers a framework for building large scale IoT applications relying on data gathered from a complex infrastructure of sensors and smart devices. Numerous challenges exist in implementing such a framework, one of them being to meet the IoT data and services (quality of service (QoS)) requirements on Industrial informatics based applications in terms of energy efficiency, sensing data quality, network resource consumption, and latency. AMCI 2022 Special Session at the 14th Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022) is devoted to the original and high quality submissions .The scope of the AMCI 2022 includes, but is not limited to the following topics:
- Design and Evaluation of Energy Efficient Networks and Services in IoT
- Machine-Learning and Artificial Intelligence for Traffic/Quality of Experience Management in IoT
- Hybrid Intelligent Models and Applications for IoT in Industrial applications
- Nature-Inspired Smart Hybrid Systems for IoT Context-Aware Systems
- Machine learning and Data Analytics and Decision Automation in IoT for Industry
- Knowledge-Based Discovery with Evolutionary Algorithms for QoS in IoT devices
- Fuzzy Fusion of Sensors, Data and Information
- Meta-Heuristic Algorithms for IoT and wearable Computing
- Hybrid Optimization Methods Emerging real world and theoretical applications of IoT in Industry
- Innovative Deep Learning Architectures/Algorithms for Time Series Data and IoT
- Neural network modelling, analysis and synthesis techniques in ubiquitous communications
- Multi-Objective IoT System Modelling and Analysis—Performance, Energy, Reliability, Robustness
- Modelling and simulation of large-scale IoT scenarios and IoT standardization
- Machine learning for IoT and sensor research challenges: battery of sensor, routing, prediction of nodes etc.
- Quality aspects in the IoT (e.g., runtime dependability, assurances, validation, verification, privacy, security)
- State-of-practice, experience reports, industrial experiments, and case studies in the IoT
ACIIDS 2022 important dates
Submission of papers: 22 May 2022 (Hard deadline)
Notification of acceptance: 11 July 2022
Camera-ready papers: 25 July 2022
Registration & payment: 25 July 2022
Conference date: 28-30 November 2022
Notification of acceptance: 11 July 2022
Camera-ready papers: 25 July 2022
Registration & payment: 25 July 2022
Conference date: 28-30 November 2022