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  1. 81

    Detection of Phantom Reads in Hyperledger Fabric by Luca Olivieri, Luca Negrini, Vincenzo Arceri, Badaruddin Chachar, Pietro Ferrara, Agostino Cortesi

    Published 2024-01-01
    “…Our approach is implemented with GoLiSA, a semantic static analyzer based on abstract interpretation for Go applications.…”
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  2. 82
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  5. 85

    Reliability Analysis of Hybrid Laser INS Under Multi-Mode Failure Conditions by Bo Zhang, Changhua Hu, Xinhe Wang, Jianqing Wang, Jianxun Zhang, Qing Dong, Xuan Liu, Feng Zhang

    Published 2025-03-01
    “…The uncertainties in the inner frame thickness, inner frame material strength, and outer frame thickness have the most significant impact on the probability of functional failure in the hybrid INS, with sensitivity indices of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>δ</mi><mn>6</mn><mrow><mi>P</mi><mo>{</mo><mi>F</mi><mo>}</mo></mrow></msubsup></mrow></semantics></math></inline-formula> = 0.01657, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>δ</mi><mn>2</mn><mrow><mi>P</mi><mo>{</mo><mi>F</mi><mo>}</mo></mrow></msubsup></mrow></semantics></math></inline-formula> = 0.00873, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msubsup><mi>δ</mi><mn>4</mn><mrow><mi>P</mi><mo>{</mo><mi>F</mi><mo>}</mo></mrow></msubsup></mrow></semantics></math></inline-formula> = 0.00818, respectively. …”
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  6. 86

    State-Based Fault Diagnosis of Finite-State Vector Discrete-Event Systems via Integer Linear Programming by Qinrui Chen, Mubariz Garayev, Ding Liu

    Published 2025-02-01
    “…This paper presents a state-based method to address the verification of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi mathvariant="script">K</mi></semantics></math></inline-formula>-diagnosability and fault diagnosis of a finite-state vector discrete-event system (Vector DES) with partially observable state outputs due to limited sensors. …”
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  7. 87

    A borehole image dataset for the intelligent identification of structural planes by Yi Cheng, Zengqiang Han, Yuyong Jiao, Shuangyuan Chen, Chao Wang

    Published 2025-09-01
    “…The dataset was formatted into VOC2007 and COCO2017 standards to accommodate semantic segmentation and object detection tasks, respectively. …”
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    Article
  8. 88

    Model Oriented Approach for Industrial Software Development by P. D. Drobintsev, V. P. Kotlyarov, N. V. Voinov, I. V. Nikiforov

    Published 2015-12-01
    “…The main emphasis is put on the system design, automated code generation for large systems, verification, proof of system properties and reduction of bug density. …”
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    Article
  9. 89

    Quantification of Tobacco Leaf Appearance Quality Index Based on Computer Vision by Tiannan Wu, Yunwei Zhang, Zewu Gong, Dongfeng Lu

    Published 2022-01-01
    “…Finally, each index&#x2019;s experimental verification is designed. The empirical findings demonstrate that semantic segmentation average accuracy is 8.4&#x0025; higher than threshold segmentation in the extraction of tobacco leaf regions. …”
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    Article
  10. 90

    A refined SMR-DeepLabV3+ model for cultivated land extraction from cross-view imagery using an attention mechanism by Zheng Fang, Yuhang Gong, Heli Zhu, Canyang Shi, Zhijia Gong, Lin Tian

    Published 2025-07-01
    “…In recent years, advanced technologies for cultivated land extraction, particularly deep learning-based semantic segmentation, have yielded impressive results. …”
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    Article
  11. 91

    Automating IoT Data Privacy Compliance by Integrating Knowledge Graphs With Large Language Models by Kelvin U. Echenim, Karuna P. Joshi

    Published 2025-01-01
    “…We introduce a novel framework for automating IoT compliance verification by integrating a Large Language Model (LLM) with a domain-specific Knowledge Graph (KG). …”
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  12. 92
  13. 93

    Few-shot English text classification method based on graph convolutional network and prompt learning by Yunfei Jin

    Published 2025-02-01
    “…Compared with the traditional method of using linear layer for final answer mapping and the method of using custom class representation word set for classification prediction, this new method alleviates the semantic loss in the process of answer mapping. Through random sampling on the three data sets of THUCNews, SHNews and Toutiao, a few-shot training set and a verification set are formed for the experiment. …”
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  14. 94

    A scalable framework for evaluating multiple language models through cross-domain generation and hallucination detection by Sorup Chakraborty, Rajesh Chowdhury, Sourov Roy Shuvo, Rajdeep Chatterjee, Satyabrata Roy

    Published 2025-08-01
    “…Each response was analyzed across 4 dimensions: cosine similarity for semantic similarity, VADER sentiment analysis for sentiment detection, TF-IDF scoring, and named entity recognition (NER) for hallucination identification and factual verification. …”
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  15. 95

    THE VALUES OF LEGAL CULTURE IN THE MINDS OF UNIVERSITY STUDENTS by KATKOVA L.V., MEKKA O.A.

    Published 2024-07-01
    “…In addition, there is a semantic modification of legal values in the process of their practical use as political and legal guidelines. …”
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    Bounded Model Checking of Dense-Timed Deontic Interpreted Systems: A Satisfiability Modulo Theories Approach by Bożena Woźna-Szcześniak, Ireneusz Szcześniak, Ireneusz Olszewski

    Published 2025-02-01
    “…Automated verification through the analysis of system models is often recommended to evaluate the correctness of safety-critical systems. …”
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  18. 98

    WindRAD Scatterometer Quality Control in Rain by Zhen Li, Anton Verhoef, Ad Stoffelen

    Published 2025-02-01
    “…Rain backscatter corrupts Ku-band scatterometer wind retrieval by mixing with the signatures of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>σ</mi><mo>∘</mo></msup></semantics></math></inline-formula> (backscatter measurements) on the sea surface. …”
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  19. 99

    Computational Investigation of Long Free-Span Submarine Pipelines with Buoyancy Modules Using an Automated Python–Abaqus Framework by Ty Phuor, Pavel A. Trapper, Alon Urlainis, Avshalom Ganz

    Published 2025-04-01
    “…The study included a verification process, providing a verification of the presented framework. …”
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  20. 100

    От редакторов специального выпуска

    Published 2013-12-01
    “…Данный выпуск журнала содержит статьи, подготовленные на основе докладов Четвертого международного семинара «Семантика, спецификация и верификация программ: теория и приложения» (Fourth Workshop on Program Semantics, Specification and Verification: Theory and Applications, PSSV 2013), а также докладов Международной конференции «Геометрия, топология и приложения» (Geometry, Topology, and Applications), посвященной 70-летию Н.П. …”
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