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Visible light communication - An architectural perspective on the applications and data rate improvement strategies.

, , , and . Trans. Emerg. Telecommun. Technol., (2019)

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An Experimental Evaluation of Different Features and Nodal Costs for Horizon Line Detection., , , , and . ISVC (1), volume 8887 of Lecture Notes in Computer Science, page 193-205. Springer, (2014)Variable Few Shot Class Incremental and Open World Learning., , , , , , and . CVPR Workshops, page 3687-3698. IEEE, (2022)Symbolic road marking recognition using convolutional neural networks., , , and . Intelligent Vehicles Symposium, page 1428-1433. IEEE, (2017)Coupling Dynamic Programming with Machine Learning for Horizon Line Detection., , , , and . Int. J. Artif. Intell. Tools, 24 (4): 1540018:1-1540018:19 (2015)Crater Detection Using Unsupervised Algorithms and Convolutional Neural Networks., , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (8): 5373-5383 (2019)Adapted discriminative coupled mappings for low-resolution face recognition with one-shot., , and . J. Intell. Fuzzy Syst., 42 (6): 5903-5917 (2022)Agglomerative Clustering with Threshold Optimization via Extreme Value Theory., , , , , , and . Algorithms, 15 (5): 170 (2022)Automatic Open-World Reliability Assessment., , , , , and . WACV, page 1983-1992. IEEE, (2021)Resource Efficient Mountainous Skyline Extraction using Shallow Learning., , , and . IJCNN, page 1-9. IEEE, (2021)Multiple feature subspaces analysis for single sample per person face recognition., , and . Vis. Comput., 35 (2): 239-256 (2019)