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  • Tools and methods of program analysis = 6th International Conference, TMPA 2021, Tomsk, Russia, November 25-27, 2021 : revised selected papers /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Tools and methods of program analysis/ edited by Rostislav Yavorskiy, Ana Rosa Cavalli, Anna Kalenkova.
    其他題名: 6th International Conference, TMPA 2021, Tomsk, Russia, November 25-27, 2021 : revised selected papers /
    其他題名: TMPA 2021
    其他作者: Yavorskiy, Rostislav.
    團體作者: International Conference on Tools and Methods of Program Analysis
    出版者: Cham :Springer Nature Switzerland : : 2024.,
    面頁冊數: x, 198 p. :ill. (some col.), digital ;24 cm.
    內容註: Contributed Papers -- Algorithm for Mapping Layout Grids in User Interfaces: Automating the "Squint Test" -- Process Mining Algorithm for Online Intrusion Detection System -- Bayesian Optimization with Time-Decaying Jitter for Hyperparameter Tuning of Neural Networks -- Investigation of the capabilities of artificial neural networks in the problem of classifying objects with dynamic features -- Analysis of Hardware-Implemented U-Net-like Convolutional Neural Networks -- Early Detection of Tasks With Uncommonly Long Run Duration in Post-Trade Systems -- Unpaired Image-to-Image Translation using Transformer-based CycleGAN -- Model-based Testing Approach for Financial Technology Platforms: An Industrial Implementation -- Searching for Deviations in Trading Systems: Combining Control-Flow and Data Perspectives -- SPIDER: Specification-based Integration Defect Revealer -- Link graph and data-driven graphs as complex networks: comparative study -- An approach to create a synthetic financial transactions dataset based on NDA-protected dataset -- Optic Flow approximated by a homogeneous, three- dimensional Point Renewal Process -- Fair Mutual Exclusion for N Processes -- Data Stream Processing in Reconciliation Testing: Industrial Experience -- Short Papers -- Detection of Flying Objects Using the YOLOv4 Convolutional Neural Network -- Modern Experiment Management Systems Architecture for Scientific Big Data -- An Approach to Modules Similarity Definition Based on the System Log Analysis.
    Contained By: Springer Nature eBook
    標題: Computer software - Congresses. - Testing -
    電子資源: https://doi.org/10.1007/978-3-031-50423-5
    ISBN: 9783031504235
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