Original unpublished contributions are solicited for presentation at the 7th International Conference on Emerging Systems and Intelligent Computing (ICESIC-2027). 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:
Sustainable AI models and green computing
Deep learning for societal impact
Explainable and trustworthy AI
AI for resource optimization
AI in developing economies
Precision agriculture & crop monitoring
Climate-smart farming technologies
AI-based disease detection in crops
IoT-enabled smart irrigation
Agricultural yield prediction models
Precision farming technologies
Yield prediction and food supply analytics
AI in medical imaging and diagnosis
Predictive healthcare analytics
Early disease detection systems
Wearable health monitoring systems
Telemedicine & remote health intelligence
Wearable and remote healthcare systems
Public health intelligence
Climate modeling and forecasting
Renewable energy forecasting
Carbon footprint analysis
Environmental monitoring using AI & IoT
Sustainable waste management systems
Smart transportation systems
Energy-efficient buildings
Intelligent traffic management
Urban analytics and planning
Sustainable water resource management
Smart grid technologies
Renewable energy integration
Energy optimization using AI
Fault detection in power systems
Microgrid intelligence
Big data analytics for sustainability
IoT for environmental sensing
Edge and cloud computing
Blockchain for sustainable governance
Secure cyber-physical systems
AI governance and policy
Ethical AI frameworks
Bias and fairness in AI
Sustainable digital transformation
AI for inclusive development
Intelligent automation
Green manufacturing systems
Digital twins for sustainability
Predictive maintenance
Circular economy technologies
Quantum computing for sustainability
Robotics for environmental monitoring
Autonomous systems
Sustainable computing architectures
Interdisciplinary innovation models