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Deep learning for image restoration and enhancement

. University of Illinois Urbana-Champaign, USA, (2018)

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Self-improving algorithms., , , and . SODA, page 261-270. ACM Press, (2006)A reachability graph-based iterative method for the synthesis of near-optimal non-blocking supervisors, , , and . TENCON 2015 - 2015 IEEE Region 10 Conference, page 1--6. IEEE, (November 2015)Modelling gene regulatory network by fractional order differential equations., , , and . BIC-TA, page 431-434. IEEE, (2010)Rank minimization via adaptive hybrid norm for image restoration., , , , , and . Signal Process., (May 2023)A Comparative Study of the Genetic Deep Learning Image Segmentation Algorithms., , , and . Symmetry, 14 (10): 1977 (2022)Distributed Optimization Framework for Mobile Data Collection With Energy Harvesting in Duty-Cycle WSNs., , and . IEEE Internet Things J., 10 (7): 6456-6473 (April 2023)Lower bounds for intersection searching and fractional cascading in higher dimension., and . J. Comput. Syst. Sci., 68 (2): 269-284 (2004)When Deep Learning-Based Soft Sensors Encounter Reliability Challenges: A Practical Knowledge-Guided Adversarial Attack and Its Defense., , and . IEEE Trans. Ind. Informatics, 20 (2): 2702-2714 (February 2024)Verification of cryptocurrency consensus protocols: reenterable colored Petri net model design., , , and . Int. J. Parallel Emergent Distributed Syst., 39 (1): 32-50 (January 2024)Learning Audio Sequence Representations for Acoustic Event Classification., , , and . CoRR, (2017)