Track 1: Energy Resources

-Deep Learning for Real-Time Energy Demand Forecasting

-Real-Time Energy Load Balancing in Microgrids Using Deep Learning

-Deep Learning-Driven Approaches for Tidal Energy Prediction

-Optimizing Wind Farm Operations Using Deep Learning

-Optimizing Distributed Generation Systems with Deep Learning

-Enhancing Energy Storage Systems through Deep Learning

-Real-Time Fault Detection in Renewable Energy Systems

-Predictive Maintenance of Solar Panels Using Deep Learning

-Deep Learning Algorithms for Enhancing Energy Efficiency

-Deep Learning Models for Efficient Energy Conversion

-Deep Learning Techniques in Hybrid Renewable Systems Integration

-Deep Reinforcement Learning for Autonomous Energy Systems

Track 2: Environmental Engineering

-Ecotoxicology and Water Resource Management

-Soil Pollution and Remediation

-Solid Waste Toxicity Assessment

-Air Pollution Control

-Climate Change and Pollutants

-Wastewater Discharge Management

-Water Quality Modeling and Risk Assessment

-Environmental Nanotechnology

-GIS and Eco-Monitoring

-Industrial Wastewater and Ecotoxicology

-Ecosystem Restoration

-Biofiltration and Hazardous Gases

-Materials for Environmental Conservation

-Waste Handling and Toxicity Control

-Noise and Vibration Control

-Environmental Digitalization and Smart Technologies

-Sustainability and Low Carbon Technologies

-Eco-cities and Environmental Toxicology

-Ecological Monitoring and Toxicity Testing

-Ecological City Construction

-Ecological Environment Monitoring

-Environmental Ecology

-Toxicology of Hazardous Wastes

-Healthcare Waste Management Policies

-Biodegradation Pathways for Emerging Pollutants

-Climate Change and Toxic Waste Synergies