PAPER SUBMISSION

CALL FOR PAPERS
Original unpublished contributions are solicited for presentation at the 2nd International Conference on Emerging Trends and Advances in Electrical Engineering and Renewable Energy(ETAEERE-2020). Papers cannot be submitted in parallel to any other conference or journal. All papers shall be tested for similarity/Plagiarism with acceptable limit of 15%.

Original papers are invited from multidisciplinary perspectives on subject areas including, but not limited to, the following:
    SYSTEMS, CONTROL AND AUTOMATIONS:
  • Control of Linear and Nonlinear Systems,
  • Innovations in Pharmaceutical Packaging
  • Automated Analytical Laboratory Instruments
  • Sensor less Control, Signal Processing
  • Motion Control, Petri Nets
  • Intelligent Systems
  • Power Electronics
  • Electrical Drives
  • Neural Networks Control Systems
  • Machine Learning in Control Applications
  • Stochastic Control,
  • Knowledge­based Systems Applications
  • Expert Systems,
  • Adaptive Control Fuzzy Systems
  • Chaotic Systems
  • Fault Diagnosis
  • Fault Tolerant Control
  • Predictive Control
  • Real­time Control
  • Robotics
  • Dynamical systems,
  • Automatic Identification Systems,
  • Electric Circuits and Networks
  • Biomedical Instrumentation

  • SMART GRID, RENEWABLE ENERGY AND MANAGEMENT:
  • Architectures for Smart Grids
  • Load Balancing in Smart Grids
  • Energy Management Systems (EMS)
  • Economic Models of Energy Efficiency
  • Energy Monitoring
  • Renewable Energy Resources
  • Greener Systems Planning and Design
  • Virtualization for Reducing Power Consumption
  • Evolutionary Algorithms in Energy Applications
  • Scheduling and Switching Power Supplies
  • Energy Profiling and Measurement
  • Harvesting Energy
  • Energy­Aware Process Optimisation
  • Optimization Techniques for Efficient Energy Consumption
  • Microgeneration
  • Smart Energy Storage
  • Wireless Systems and Networks
  • Algorithms for Reduced Power, Energy and Heat
  • Green Communications Architectures and Frameworks
  • Qos and Green Computing
  • Integration of Smart Appliances
  • Embedded Sensor Networks
  • Smart Homes (Domotics)
  • Smart Power systems
  • Green Computing and Education
  • Case Studies on Green Computing and Communications
  • Interoperability
  • Energy Efficient Network Hardware
  • Energy­Efficient Communication Protocols
  • Green Software Engineering Methodologies and Tools
  • Virtualization Impact for Green Computing
  • Green Computing Models, Methodologies and Paradigms
  • Energy­smart industrial architecture
  • Power Quality and Utility Applications
  • Fault Detection and Management
  • Network Management, Control and Engineering for QOS

  • ELECTRONICS, COMMUNICATION AND COMPUTING:
  • Optoelectronics,
  • Nano­electronics,
  • Measurements and Data Acquisition,
  • Computer Aided Design
  • Computer Aided Manufacturing
  • Semiconductor Device Modelling
  • Computational Electromagnetic
  • Finite and Boundary Element Techniques
  • Monte­Carlo Simulations
  • Multi­scale Modeling
  • Computer Aided Education and Training
  • Wireless Communications
  • Optical Communications
  • Radio Frequency Identification and Near Field Communications
  • Automatic Position Reporting System
  • VoIP Protocols and Services
  • Network Security
  • Pattern Recognition
  • Distributed Systems
  • Cloud Computing
  • Adaptive Systems
  • Image Processing
  • Data Mining

  • ADVANCED COMPUTING
  • Artificial Intelligence and Machine Learning
  • Computer Architecture and VLSI
  • Computer Graphics- Simulation and Modeling
  • Data Management-Exploration and Mining
  • Pattern Recognition and Analysis
  • Robotics and Machine Vision;
  • Systems and Software Engineering;
  • Computational Intelligenc
  • Signal and Image Processing
  • Reconfigurable Computing
  • Biomedical Computing, Bioinformatics;
  • Green Computing; Mobile Computing;
  • Genetic Fuzzy Systems;
  • Genetic Neural Systems;
  • Hybrid Evolutionary Algorithms;
  • Hybrid Modular Neural Networks;
  • Hybrid optimization techniques;
  • Neuro-Fuzzy-Genetic Approaches;
  • Nature-inspired Smart Hybrid Systems
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