International Conference on Computational Intelligence and Data Science Applications

ICCIDS

4th Aug – 5th Aug 2026 Adelaide, Australia

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Access to All Conference Sessions

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Registration Summary

Conference ICCIDS

Date 4th Aug – 5th Aug 2026

Location Adelaide, Australia

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in Machine Learning Algorithms +

This track focuses on the latest developments in machine learning algorithms, emphasizing their theoretical foundations and practical applications. Researchers are encouraged to present novel approaches that enhance predictive accuracy and computational efficiency.

SDG 9 SDG 4

02 Neural Networks and Deep Learning Techniques +

This session explores the evolution of neural networks and deep learning architectures in solving complex data-driven problems. Contributions that demonstrate innovative applications and improvements in training methodologies are particularly welcome.

SDG 9 SDG 4

03 Big Data Analytics and Visualization +

This track addresses the challenges and solutions related to big data analytics, including data processing, storage, and visualization techniques. Papers that showcase effective strategies for extracting insights from large datasets are encouraged.

SDG 9 SDG 11

04 Predictive Analytics in Real-World Applications +

This session highlights the use of predictive analytics across various domains, including healthcare, finance, and marketing. Submissions should illustrate how predictive models can drive decision-making and improve outcomes in practical scenarios.

SDG 3 SDG 9

05 Data Mining Techniques and Applications +

This track invites contributions on data mining methodologies and their applications in diverse fields. Researchers are encouraged to share innovative techniques that uncover hidden patterns and relationships within large datasets.

SDG 9 SDG 11

06 Optimization Methods in Data Science +

This session focuses on optimization techniques employed in data science to enhance model performance and resource allocation. Papers that present novel optimization algorithms or applications in real-world problems are highly sought after.

SDG 9 SDG 12

07 Simulation Techniques in Computational Intelligence +

This track examines the role of simulation in computational intelligence, particularly in modeling complex systems and scenarios. Contributions that demonstrate the effectiveness of simulation in enhancing understanding and decision-making are encouraged.

SDG 4 SDG 11

08 Artificial Intelligence in Data-Driven Decision Making +

This session explores the integration of artificial intelligence in data-driven decision-making processes across various sectors. Papers should highlight case studies or frameworks that illustrate the impact of AI on strategic outcomes.

SDG 9 SDG 16

09 Ethics and Challenges in Data Science +

This track addresses the ethical considerations and challenges faced in the field of data science, including data privacy, bias, and transparency. Contributions that propose solutions or frameworks for ethical data practices are encouraged.

SDG 16 SDG 10

10 Interdisciplinary Approaches to Computational Intelligence +

This session emphasizes the importance of interdisciplinary collaboration in advancing computational intelligence and data science. Papers that showcase cross-domain applications and methodologies are particularly welcome.

SDG 17 SDG 9

11 Future Trends in Computational Intelligence and Data Science +

This track explores emerging trends and future directions in computational intelligence and data science. Researchers are invited to present visionary ideas and innovative concepts that could shape the future landscape of the field.

SDG 9 SDG 4