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ICIMIA2020

The second International Conference on Innovative Mechanisms for Industry Applications (ICIMIA 2020)

Bangalore, India
5 - 7 March 2020
The conference ended on 07 March 2020

Important Dates

Abstract Acceptance Notification
22nd November 2019
Abstract Submission Deadline
5th February 2020
Final Abstract / Full Paper Deadline
5th February 2020
Early Bird Deadline
5th February 2020

About ICIMIA2020

The second International Conference on Innovative Mechanisms for Industry Applications (ICIMIA 2020) is being organized on 5-7, March 2020 by the Dayananda Sagar College of Engineering. ICIMIA 2020 will provide an outstanding international forum for sharing knowledge and results in all fields of engineering and Technology. ICIMIA provides quality key experts who provide an opportunity in bringing up innovative ideas. Recent updates in the in the field of technology will be a platform for the upcoming researchers. The conference will be Complete, Concise, Clear and Cohesive in terms of research related to Innovative Mechanisms for Industrial needs.

Topics

Iot, Artificial intelligence, computer software and applications

Call for Papers

Track 1: Industrial Internet of Things (IIoT)

  • Industrial Wireless Networks and Applications
  • Internet of Intelligent Industrial Things
  • Innovative Industrial Communication Networks Sensor Networks
  • Smart Multi-Agent Systems for Industrial Applications
  • Remote Diagnosis and Development
  • Intelligent Infrastructure and Guidance Systems
  • Design and Architecture of IoT eHealth Systems
  • Forensics, Security, Safety and Privacy in eHealth and IoT
  • Technological Focus for Smart Environments
  • Data Analysis and Visualization for Smart City, Green Systems and Transport Systems
  • Traffic Theory, Modeling and Simulation in IoT
  • Next Generation Networks
  • Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City
  • Cloud Networking and Virtualization for Industrial Framework
    • Cloud based Social and Mobile Computing in Industrial Frameworks
    • Smart Information Exchange and data Integration technologies
    • Ubiquitous Mobile data analytics for industrial domain
    • 5G Networks for Industry Digitalization
Track 2: Artificial Intelligence
  • Smart Service Oriented Manufacturing Technologies
  • Automated Machine Learning based Industrial Applications
  • Supervised and Unsupervised learning models for industrial scenarios
  • Scalable and Interoperable Industrial Architectures
  • Digital Twins for Industrial Expertise
  • Intelligent Industrial Optimization and Control Strategies
  • Cyber-Physical Systems for a Distributed Industrial Internet
  • Security and Privacy preserving models for Industrial Internet
  • Smart Evaluation and estimation of Industrial Safety
  • AI for Application-level Industrial Domains
Track 3: Control, Autonomous Systems and Robotics
  • Smart Industrial Automation and Robotics
  • Distributed Decision making Architectures
  • Humanoid Robots
  • Industrial; Networks and Control Systems
  • Machine Vision
  • Industrial Robot Dynamics and Control
  • Robotic Mechanical Drives
  • Optimal and Adaptive Control techniques
  • Robotic Programming Applications
  • Smart Navigation and Vision Systems
  • Human-System Interface Design
  • Sustainable Control and Manufacturing Strategies
  • Performance Evaluation and Optimization
  • Automated Supply Chain and Logistics Engineering
  • Resource and Knowledge Management in Industry
  • Automated Decision Support Systems
  • Computer-based Manufacturing Technologies
Track 4: Machine Learning and Deep Drives
  • Deep Learning based Smart Machining Systems
  • Deep learning and Autonomous Driving Models
  • End-to-End Simulation using Deep Drives
  • Vision-based Autonomous Models
  • Deepdrive Simulator and Driving Dataset
  • Complex Systems Modelling and simulation
  • Simulation in Automotive Systems
  • Smart industrial Interoperability Models
  • Multimodal interactions
  • Semantic and Cognitive Aspects in Industries
  • Predictive Analytics and Simulation tools
  • Feature Extraction and Classification techniques
  • Model-based Industrial Manufacturing and Quality Control Techniques
Track 5: Cloud Computing
  • Cognitive cloud based solutions for various smart industries
  • Cloud Computing Fundamentals
  • Cloud Computing Enabling Technology
  • Mobile Cloud Computing and Services
  • Cloud Risk, Challenges, and Governance
  • Model-driven Web Service Engineering
  • Internet of Services
  • Service-oriented Architecture
  • Big Data Cloud Services
  • Cloud Resource Virtualization and Composition
  • Distributed Management of Clouds
  • Mobile Reliability, Availability, Scalability and Performance
  • Security Issues in Mobile Systems Software and Hardware
  • Smart Mobile Computing SaaS on Clouds
Track 6: Big Data
  • Big data for Performing Predicative analytics in industrial domain
  • Data Mining and Visualization
  • Computational Intelligent Frameworks for Big Data Processing
  • Multi-Agent Systems: Models, Architectures and Applications
  • Machine learning for resource allocation in wireless networks
  • Computational Intelligent Frameworks
  • Biomedical Informatics
  • Pattern Recognition
  • Intelligent Internet Systems
  • Mobile and Pervasive Computing
  • Multi-Agent Systems
  • Web Intelligence
Track 7: Mobile Networks and Social Networks
  • Energy-efficiency in 5G for IoT applications
  • Security and privacy concerns in 5G wireless communications
  • Data security, privacy and reliability for IoT towards 5G
  • Agent based intrusion surveillance
  • Mobile Systems and Applications
  • Mobile Data Management and Analytics
  • Mobile Multimedia
  • Web Mining and Web Intelligence
  • Secure Measures in the Social Networks
  • Social Networking
Track 8: Electrical and Electronics Systems
  • Electrical Engineering
  • Power Electronics and Energy Efficient Drives
  • Smart grids and sustainable systems
  • Feedback Control Systems
  • Medical electronics and its applications
  • Biomedical Signal processing Techniques
  • Renewable Power Conversion Technologies
  • Multimedia Transmission
  • Channel modeling and simulation
  • Channel coding, modulation, multiplexing
  • Advanced signal processing for transmission
  • Digital image and signal processing
  • MISO and MIMO processing

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