International Conference on AI-driven Image Recognition and Data Science

ICIIRDS

31st Mar – 1st Apr 2027 Lisbon, Portugal

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Registration Summary

Conference ICIIRDS

Date 31st Mar – 1st Apr 2027

Location Lisbon, Portugal

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

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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 Deep Learning for Image Recognition +

This track focuses on the latest developments in deep learning techniques specifically tailored for image recognition tasks. Researchers are invited to present novel architectures and methodologies that enhance the performance of image recognition systems.

SDG 9 SDG 11

02 Object Detection and Segmentation Techniques +

This session will explore cutting-edge approaches in object detection and image segmentation, emphasizing their applications in various domains. Contributions that demonstrate improvements in accuracy and efficiency are particularly encouraged.

SDG 3 SDG 9

03 Medical Image Analysis Using AI +

This track highlights the role of artificial intelligence in the analysis of medical images, including diagnostic imaging and treatment planning. Papers that showcase innovative algorithms and their clinical implications are welcome.

SDG 3 SDG 4

04 Computer Vision Applications in Remote Sensing +

This session will delve into the application of computer vision techniques in remote sensing imagery analysis. Researchers are invited to discuss advancements that improve the interpretation of satellite and aerial imagery.

SDG 13 SDG 15

05 Convolutional Neural Networks for Visual Recognition +

This track is dedicated to the exploration of convolutional neural networks (CNNs) and their application in various visual recognition tasks. Contributions that present novel CNN architectures or training methodologies are encouraged.

SDG 9 SDG 11

06 Face Recognition Technologies and Challenges +

This session will address the latest advancements in face recognition technologies, including algorithmic improvements and real-world applications. Papers discussing challenges such as privacy, security, and bias in face recognition systems are particularly relevant.

SDG 16

07 Pattern Recognition and Feature Extraction +

This track focuses on the methodologies for pattern recognition and feature extraction in image data. Researchers are invited to present innovative techniques that enhance the robustness and accuracy of feature extraction processes.

SDG 9 SDG 11

08 Real-Time Image Processing Solutions +

This session will explore real-time image processing techniques that enable immediate analysis and interpretation of visual data. Contributions that demonstrate practical applications and performance optimizations are highly encouraged.

SDG 9 SDG 11

09 Adversarial Robustness in Image Recognition +

This track addresses the critical issue of adversarial robustness in image recognition systems, focusing on methods to enhance resilience against adversarial attacks. Papers that propose novel defense mechanisms or evaluate existing ones are welcome.

SDG 16

10 AI-Driven Innovations in Visual Recognition Systems +

This session will highlight innovative AI-driven approaches to visual recognition systems across various industries. Researchers are encouraged to share insights on the integration of AI technologies to improve system performance and user experience.

SDG 9 SDG 11

11 Trends and Future Directions in Data Science for Image Analysis +

This track will explore emerging trends and future directions in data science as it pertains to image analysis. Contributions that discuss the intersection of data science methodologies and image processing are particularly sought after.

SDG 4 SDG 9