The ICDB2025 Conference themes, grouped in seven tracks, are the following (but are not limited to):
Track 1: FOUNDATIONS OF MACHINE INTELLIGENCE
- Machine Learning
- Deep Learning
- Physics-Based Machine Learning
- Computer Vision Solutions with Machine Learning
- Image Processing Solutions with Machine Learning
- Multimedia Systems
- Tools for Multimedia
- Machine Intelligence in Data Science
Track 2: MACHINE INTELLIGENCE IN HEALTHCARE
- Prediction of Alzheimer’s Disease
- Prediction of Parkinson’s Disease
- Sleep Disorder Analysis
- Dental Image Analysis
- Novel Disease Prediction
- Skin Cancer Detection
Track 3: MACHINE INTELLIGENCE FOR SECURITY
- Blockchain Applications
- Mobile and Wireless Security
- Biometric Systems
- Intrusion Detection
- Cryptography
- Digital Forensics
- Protection Against Denial of Service
- Steganography
- Monitoring and Surveillance
- Security, Privacy, and Trust by Design
Track 4: MACHINE INTELLIGENCE IN AMBIENT TECHNOLOGIES
- Internet of Things (IoT)
- Augmented Reality
- Smart Cities
- Virtual Reality
- Assistive Technologies
- Wearable Computing Systems
- Intelligent Transportation
- Industrial IoT
Track 5: MACHINE INTELLIGENCE IN AGRICULTURE AND TECHNOLOGY
- Weed Detection
- Plant Disease Detection
- Smart Agriculture Technology
Track 6: MACHINE INTELLIGENT TOOLS FOR EDUCATION, RESEARCH, AND INDUSTRY APPLICATIONS
- E-Learning Tools
- Mobile Learning
- E-Learning Organizational Issues
- Gamification
- Collaborative Learning
- Curriculum Content Design
- Educational Systems Design
- Virtual Learning Environments
- Web-Based Learning
- Delivery Systems and Environments
Track 7: MACHINE INTELLIGENCE FOR BUSINESS ANALYTICS
- Predictive Analytics
- Prescriptive Analytics
- Descriptive Analytics
- Big Data Analytics
- Machine Learning in Business Decision Making
- Text and Sentiment Analysis for Business
- Financial Forecasting with Machine Intelligence
- Customer Relationship Management (CRM) with AI
- Operational Analytics
- Supply Chain Analytics
