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Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement., , , , and . IEEE Signal Process. Mag., 38 (1): 22-30 (2021)A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study., , , , , , and . ICPS, page 1-7. IEEE, (2022)Potential adversarial samples for white-box attacks., and . CoRR, (2019)Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data., , , , , , and . CoRR, (2023)Memory-Efficient Continual Learning Object Segmentation for Long Video., , , and . CoRR, (2023)CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning., , and . CVPR Workshops, page 2496-2505. IEEE, (2023)Deep Neural Network Perception Models and Robust Autonomous Driving Systems., , , , and . CoRR, (2020)Real-Time Vehicle Make and Model Recognition Using Unsupervised Feature Learning., , , and . IEEE Trans. Intell. Transp. Syst., 21 (7): 3080-3090 (2020)Predicting groundwater level fluctuations with meteorological effect implications - A comparative study among soft computing techniques., , , , and . Comput. Geosci., (2013)Evaluating capabilities of the spline and cubic spline interpolation functions in reference evapotranspiration estimation implementing satellite image data., , , and . Earth Sci. Informatics, 16 (4): 3779-3795 (December 2023)