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Real time enhancement of low light images for low cost embedded platforms.

, , , , and . IMSE, page 1-4. Society for Imaging Science and Technology, (2019)

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Application of Feature-Learning Methods Toward Product Usage Context Identification and Comfort Prediction., , and . J. Comput. Inf. Sci. Eng., (2018)Exploring the self similar properties for monitoring of air quality information., , , and . ICAPR, page 1-6. IEEE, (2015)NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned., , , , , , , , , and 12 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 50-72. PMLR, (2021)XDNet: A Few-Shot Meta-Learning Approach for Cross-Domain Visual Inspection., , , , , , and . CVPR Workshops, page 4375-4384. IEEE, (2023)CDA: Contrastive-adversarial Domain Adaptation., , , , , and . CoRR, (2023)Equipment Health Indicator Learning Using Deep Reinforcement Learning., , , , and . ECML/PKDD (3), volume 11053 of Lecture Notes in Computer Science, page 488-504. Springer, (2018)Real-time traffic sign recognition using deep network for embedded platforms., , , , , and . Autonomous Vehicles and Machines, page 1-8. Society for Imaging Science and Technology, (2019)Real time enhancement of low light images for low cost embedded platforms., , , , and . IMSE, page 1-4. Society for Imaging Science and Technology, (2019)Enabling Product Circularity Through Big Data Analytics and Digitalization., , , , , , , , , and 2 other author(s). MWSCAS, page 1-6. IEEE, (2022)Wisdom of the Ensemble: Improving Consistency of Deep Learning Models., , , , , , , and . NeurIPS, (2020)