PowerPoint Presentation

undefined. Revolutionizing Contrail Detection with SegX-Net.

undefined. Contrails ! What does it do?. Contrail Challenge: Pretty plumes, hidden threat (Ice crystals in exhaust form wispy lines that trap heat, impacting climate)..

undefined. Challenges of Traditional Methods. Complexity.

[Audio] Introducing SegX-Net Revolutionizing Contrail Detection Exploring deep learning for contrail detection Developed SegXNet: a modified DeepLabV3 with ResNet101 integration Extracts detailed features for accurate contrail detection Surpasses other models in contrail detection effectiveness Photo by Pexels.

[Audio] Proposed Architecture of SegX-Net Photo by Pexels Photo by Pexels Deep Learning Exploring deep learning for contrail detection. New model SegXNet integrates ResNet101 for better feature extraction..

[Audio] Architecture of SegX-Net Enhanced SegX-Net Model Modification were made in order to fullt utilize and achieve the new results.

[Audio] Research Timeline May-2023 Started out initial planning for research Sep-2023 Finished writing the manuscript Sep 2023 – January 2024 Multiple Rounds of Reviewing Rounds Feb-2024 Got Accepted after 7 months of extreme hard work Feb-2024 Be Happy ! .

[Audio] SegX-Net Data Positive. SegX-Net Data. Positive.

[Audio] Revolutionizing Contrail Detection. 100 80 60 20 SegX-Net Best Competitor Performance Comparison of SegX-Net vs. Best Competitor Metrics.

[Audio] Contrail Detection AI Benefits Challenges Innovative approach to contrail detection using AI technology. Research is still in early stages requiring further refinement and testing. Potential for real-time applications and data collection for climate analysis. Challenges in accurately detecting contrails in varying weather conditions. Collaboration opportunities with climate scientists for further research. Complexity of traditional methods may hinder widespread adoption of new technology..

[Audio] Revolutionizing Contrail Monitoring Efficiency and Effectiveness SegX-Net detects true contrails and avoids false positives Surpasses other deep learning models for image segmentation tasks Potential to automate contrail detection and provide realtime insights.

[Audio] Future Research Directions Exciting Potential and Collaboration Challenges and Limitations ✔ ✘ Support studies on contrail impact on climate change and mitigation strategies. Research is still in early stages and requires further development. ✔ ✘ Excited about the possibilities of SegXNet and eager to explore its potential further. Investigating impact of different weather conditions on contrail detection may be challenging. ✔ ✘ Collaborate with climate scientists to analyze the data collected by SegXNet. Refining the model for real-time applications could require additional resources..