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Improved Crowd Counting Method Based on Scale-Adaptive Convolutional Neural Network., , , , , , и . IEEE Access, (2019)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)A Conflict Detection Approach for XACML Policies on Hierarchical Resources.. GreenCom, стр. 755-760. IEEE Computer Society, (2012)Scale-Aware Multi-stage Fusion Network for Crowd Counting., , , , , и . ICONIP (6), том 1517 из Communications in Computer and Information Science, стр. 3-11. Springer, (2021)Multiscale Network with Equivalent Large Kernel Attention for Crowd Counting., , , , и . ICONIP (11), том 1965 из Communications in Computer and Information Science, стр. 538-550. Springer, (2023)Quantitative synaptic vesicle imaging for evaluating neuron activities in neurodegenerative diseases., , , и . ACSCC, стр. 421-425. IEEE, (2011)Improving Security Data Access Control for Multi-Authority Cloud Storage., , , , и . ISPA/BDCloud/SocialCom/SustainCom, стр. 608-613. IEEE, (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)