Registration summary
ConferenceICDAETA
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
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
ICDAETA conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Machine Learning Techniques +
This track focuses on the latest developments in machine learning methodologies and their applications in various domains. Researchers are encouraged to present innovative algorithms and frameworks that enhance predictive capabilities.
02 Big Data Analytics in Emerging Technologies +
This session explores the integration of big data analytics with cutting-edge technologies such as IoT and cloud computing. Contributions should highlight case studies and novel approaches that leverage large datasets for impactful insights.
03 Artificial Intelligence in Data-Driven Decision Making +
This track examines the role of artificial intelligence in enhancing data-driven decision-making processes across industries. Papers should address theoretical frameworks, practical implementations, and the implications of AI on organizational strategies.
04 Predictive Analytics for Business Intelligence +
This session invites contributions that focus on predictive analytics techniques and their applications in business intelligence. Researchers are encouraged to share methodologies that improve forecasting accuracy and operational efficiency.
05 Cybersecurity Analytics: Challenges and Solutions +
This track addresses the intersection of data analytics and cybersecurity, focusing on innovative solutions to emerging threats. Papers should explore analytical techniques that enhance security measures and protect sensitive data.
06 Statistical Methods for Data Science Applications +
This session highlights the application of advanced statistical methods in the field of data science. Contributions should showcase how statistical techniques can be effectively utilized to extract meaningful insights from complex datasets.
07 Cloud Computing and Data Management Strategies +
This track explores the implications of cloud computing on data management practices and analytics. Researchers are invited to discuss frameworks that optimize data storage, processing, and accessibility in cloud environments.
08 Innovative Algorithms for Data Processing +
This session focuses on the development and application of innovative algorithms for efficient data processing. Contributions should demonstrate how these algorithms can address real-world challenges in data analytics.
09 Data Visualization Techniques for Enhanced Insights +
This track emphasizes the importance of data visualization in conveying complex information effectively. Researchers are encouraged to present novel visualization techniques that facilitate better understanding and interpretation of data.
10 Ethical Considerations in Data Science +
This session addresses the ethical implications of data science practices, including issues related to privacy, bias, and accountability. Contributions should explore frameworks and guidelines for responsible data usage in research and applications.
11 Interdisciplinary Approaches to Data Analytics +
This track invites discussions on interdisciplinary methodologies that enhance data analytics across various fields. Papers should illustrate how collaboration between disciplines can lead to innovative solutions and applications in data science.
