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On the modern deep learning approaches for precipitation downscaling., , , , , , , and . CoRR, (2022)DeepClouds.ai: Deep learning enabled computationally cheap direct numerical simulations., , , and . CoRR, (2022)A 2-A 6-MHz Hysteretic Buck Converter with an 8-Bit Digital Jitter-Insensitive Frequency Correction Loop using Dual-Sided Hysteretic Band Modulation., and . MWSCAS, page 754-757. IEEE, (2020)An 8 A 100-MHz 4-Phase Buck Converter with Fast Dynamic Response and Enhanced Light-Load Efficiency., and . MWSCAS, page 861-864. IEEE, (2018)Deep-learning based down-scaling of summer monsoon rainfall data over Indian region., , , , , and . CoRR, (2020)Urban precipitation downscaling using deep learning: a smart city application over Austin, Texas, USA., , , , , , , and . CoRR, (2022)Optimal Product Line Pricing for Two Customer Segments with an Extension to Multi-Segment Case., , and . ICORES, page 311-316. SciTePress, (2014)Deep learning for improved global precipitation in numerical weather prediction systems., , , , , , and . CoRR, (2021)Imbalanced High-Current Multi-Phase Buck Converters for High-Performance CPUs., and . MWSCAS, page 929-932. IEEE, (2019)Trustworthy modelling of atmospheric formaldehyde powered by deep learning., and . CoRR, (2022)