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Progressive Docking - Deep Learning Based Approach for Accelerated Virtual Screening., , , , и . ICANN (Workshop), том 11731 из Lecture Notes in Computer Science, стр. 737-740. Springer, (2019)Influence of Different Satellite Imagery on the Analysis of Riparian Leaf Density in a Mountain Stream., , и . Remote. Sens., 12 (20): 3376 (2020)Security evaluation in information technology standards., , , , и . Comput. Secur., 13 (8): 647-650 (1994)Comprehensive Consensus Analysis of SARS-CoV-2 Drug Repurposing Campaigns., , , и . J. Chem. Inf. Model., 61 (8): 3771-3788 (2021)The Five Ws (and one H) of Super-Hydrophobic Surfaces in Medicine., , , , , и . Micromachines, 5 (2): 239-262 (2014)Temporal frequency tuning of cortical face-sensitive areas for individual face perception., и . NeuroImage, (2014)Assessing and improving the performance of consensus docking strategies using the DockBox package., и . J. Comput. Aided Mol. Des., 33 (9): 817-829 (2019)The transformational role of GPU computing and deep learning in drug discovery., , , , , , и . Nat. Mach. Intell., 4 (3): 211-221 (2022)Development of an In Vivo Sensor to Monitor the Effects of Vapour Pressure Deficit (VPD) Changes to Improve Water Productivity in Agriculture., , , , , , и . Sensors, 19 (21): 4667 (2019)Energy-efficient OECT Sensor Data Analysis on Constrained Edge Devices., , , и . IC2E, стр. 51-58. IEEE, (2023)