Registration summary
ConferenceICDDEMA
ModeStandard / Physical
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICDDEMA conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Predictive Modeling Techniques +
This track focuses on the latest methodologies in predictive modeling, emphasizing their applications in various engineering domains. Participants will explore case studies demonstrating the effectiveness of these techniques in real-world scenarios.
02 Optimization Strategies in Data-Driven Engineering +
This session will delve into innovative optimization strategies that leverage data-driven approaches to enhance engineering processes. Discussions will include algorithmic advancements and their implications for industrial efficiency.
03 Machine Learning Applications in Industrial Systems +
This track highlights the integration of machine learning technologies within industrial systems to improve performance and decision-making. Presentations will cover successful implementations and the challenges faced in these applications.
04 Data Anomaly Detection Techniques +
This session will explore various techniques for detecting anomalies in data, crucial for maintaining the integrity of engineering systems. Participants will discuss the implications of these techniques for predictive maintenance and quality assurance.
05 Simulation and Modeling in Engineering Processes +
This track emphasizes the role of simulation and modeling in optimizing engineering processes through data-driven insights. Attendees will examine tools and frameworks that facilitate effective simulation practices.
06 Workflow Analysis and Process Improvement +
This session will focus on methodologies for analyzing workflows to identify bottlenecks and areas for improvement. Participants will share experiences and tools that have successfully enhanced operational efficiency.
07 Decision Support Systems in Engineering +
This track will examine the development and implementation of decision support systems that utilize data mining techniques. Discussions will include case studies that illustrate the impact of these systems on engineering decisions.
08 Data-Driven Innovations in Mining Algorithms +
This session will showcase innovative mining algorithms that have emerged from data-driven research. Participants will discuss their applications and the potential for future advancements in this field.
09 Analytics for Enhanced Engineering Performance +
This track will explore the use of analytics to drive performance improvements in engineering projects. Participants will discuss various analytical techniques and their practical applications.
10 Integration of Data Mining in Engineering Education +
This session will address the importance of integrating data mining concepts into engineering curricula. Discussions will focus on pedagogical strategies and the skills needed for future engineers.
11 Challenges and Future Directions in Data Mining +
This track will provide a platform for discussing the current challenges faced in the field of data mining and the future directions of research. Participants will engage in dialogues about emerging trends and technologies.
