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Reversible data hiding in compressed and encrypted images by using Kd-tree., , , , , и . Multimedia Tools Appl., 78 (13): 17535-17554 (2019)A quantitative analytic pipeline for evaluating neuronal activities by high-throughput synaptic vesicle imaging., , , , и . NeuroImage, 62 (3): 2040-2054 (2012)Density-aware and background-aware network for crowd counting via multi-task learning., , , , , и . Pattern Recognit. Lett., (2021)Decoding CRISPR-Cas PAM recognition with UniDesign., , , , , , и . Briefings Bioinform., (мая 2023)MLRNet: Towards Real-Time Crowd Counting With Mobile-Based Lightweight Framework., , , , , и . SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, стр. 1201-1208. IEEE, (2022)Integrating Multi-Scale Blob/Curvilinear Detector Techniques and Multi-Level Sets for Automated Segmentation of Stem Cell Images., , , , и . ISBI, стр. 1362-1365. IEEE, (2009)Crowd Counting based on Density Map Dynamic Refinement., , , , , и . IJCNN, стр. 1-7. IEEE, (2022)Vehicle Detection based on Positive Samples Selection with Low Threshold., , , , и . SMC, стр. 125-130. IEEE, (2022)GTFNet: Ground Truth Fitting Network for Crowd Counting., , , , и . ICANN (1), том 12396 из Lecture Notes in Computer Science, стр. 235-246. Springer, (2020)Timed Automaton-Based Quantitative Feasibility Analysis of Symmetric Cipher in Embedded RTOS: A Case Study of AES., и . Secur. Commun. Networks, (2022)