CIEIE-26
Computational Linguistics Computational Mathematics
Topics of Interest for Submission include, but are Not Limited to:
Computational Intelligence focuses on sub-symbolic AI that can handle uncertainty and incomplete data.
Neural Networks (Deep Learning):
Convolutional Neural Networks (CNNs) for fault detection.
Recurrent Neural Networks (RNNs) and LSTMs for time-series energy forecasting.
Generative Adversarial Networks (GANs) for synthetic data generation in sparse industrial environments.
Fuzzy Logic Systems:
Type-1 and Type-2 Fuzzy Logic for control systems.
Fuzzy Decision-Making in uncertain industrial environments.
Evolutionary Computing:
Genetic Algorithms (GA) for multi-objective optimization.
Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO).
Differential Evolution for engineering design.
Hybrid Systems:
Neuro-fuzzy systems (ANFIS).
Evolutionary Neural Networks.
This domain focuses on the generation, distribution, and efficient use of power through CI-enhanced tools.
Smart Grid Management:
Demand Side Management (DSM) and response forecasting.
Grid stability and frequency control using CI.
Microgrid optimization and islanding detection.
Renewable Energy Systems:
Solar irradiance and wind speed prediction.
Maximum Power Point Tracking (MPPT) using fuzzy logic.
Optimal placement of wind turbines and solar farms.
Energy Storage & Battery Management:
State of Charge (SoC) and State of Health (SoH) estimation.
Optimization of thermal management systems.
Second-life battery application modeling.
Thermal & Nuclear Energy:
Combustion process optimization.
Heat exchanger network synthesis.
Nuclear reactor safety monitoring using pattern recognition.
This domain applies CI to streamline manufacturing, logistics, and human-machine interaction.
Smart Manufacturing (Industry 4.0/5.0):
Digital Twins and Cyber-Physical Systems (CPS).
Additive Manufacturing (3D Printing) process optimization.
Real-time quality monitoring using machine vision.
Predictive Maintenance (PdM):
Remaining Useful Life (RUL) estimation of industrial machinery.
Vibration analysis and acoustic emission for fault diagnosis.
Supply Chain & Logistics:
Vehicle Routing Problems (VRP) using swarm intelligence.
Inventory management under stochastic demand.
Warehouse automation and robotics.
Human Factors & Ergonomics:
Cognitive workload assessment using CI.
Human-Robot Collaboration (HRC) safety protocols.
Biomechanical modeling of industrial tasks.
Where the three fields overlap to create sustainable, autonomous systems.
Energy-Aware Manufacturing:
Scheduling production lines to minimize peak energy consumption.
Carbon footprint tracking and reduction via CI optimization.
Industrial Internet of Things (IIoT):
Edge computing for real-time energy data processing.
Cybersecurity in energy infrastructure and smart factories.
Soft Computing in Policy:
Life Cycle Assessment (LCA) of industrial products.
Energy market price forecasting and risk management.