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Constructing a Quantitative System of Intelligent Trial Standards for Civil and Commercial Law Cases Based on Network Flow Algorithm in Intelligent Judicial Environment

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29 set 2025
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Lolich, L., & Timonen, V. (2022). Digitalisation of Public Services as a Challenge to Social Justice. In Solidarity and Social Justice in Contemporary Societies: An Interdisciplinary Approach to Understanding Inequalities (pp. 191-200). Cham: Springer International Publishing. LolichL. & TimonenV. (2022). Digitalisation of Public Services as a Challenge to Social Justice. In Solidarity and Social Justice in Contemporary Societies: An Interdisciplinary Approach to Understanding Inequalities (pp. 191-200). Cham: Springer International Publishing.Search in Google Scholar

Guimaraes, T. A., Gomes, A. O., & Guarido Filho, E. R. (2018). Administration of Justice: an Emerging Research Field. RAUSP Management Journal, 53(3), 476-482. GuimaraesT. A., GomesA. O. & Guarido FilhoE. R. (2018). Administration of Justice: an Emerging Research Field. RAUSP Management Journal, 53(3), 476-482.Search in Google Scholar

Kiršienė, J., Amilevičius, D., & Stankevičiūtė, D. (2022). Digital transformation of legal services and access to justice: Challenges and possibilities. Baltic Journal of Law & Politics, 15(1), 141-172. KiršienėJ., AmilevičiusD. & StankevičiūtėD. (2022). Digital transformation of legal services and access to justice: Challenges and possibilities. Baltic Journal of Law & Politics, 15(1), 141-172.Search in Google Scholar

Creutzfeldt, N. (2024). The Digitalisation of Tribunals and Vulnerability. PUBLIC LAW, (2), 211-219. CreutzfeldtN. (2024). The Digitalisation of Tribunals and Vulnerability. PUBLIC LAW, (2), 211-219.Search in Google Scholar

Fox, C., Harrison, J., Marsh, C., & Smith, A. (2018). Piloting Different Approaches to Personalised Offender Management in the English Criminal Justice System. International Review of Sociology, 28(1), 35-61. FoxC., HarrisonJ., MarshC. & SmithA. (2018). Piloting Different Approaches to Personalised Offender Management in the English Criminal Justice System. International Review of Sociology, 28(1), 35-61.Search in Google Scholar

Foote, D. H. (2017). Diversification of the Japanese Judiciary. Wash. Int’l LJ, 27, 7 FooteD. H. (2017). Diversification of the Japanese Judiciary. Wash. Int’l LJ, 27, 7Search in Google Scholar

Kolaneci, E., & Pejo, E. (2023). Transitional Justice Research in the Digital Age: Western Balkans Results. Social and Legal Studios, 4(6), 89-96. KolaneciE. & PejoE. (2023). Transitional Justice Research in the Digital Age: Western Balkans Results. Social and Legal Studios, 4(6), 89-96.Search in Google Scholar

Jneid, M., Saleh, I., & Fakhoury, R. (2019, October). Digital Transformation in Justice: Discussion of Challenges and a Conceptual Model for E-justice Success. In Proc. 19th Eur. Conf. Digit. Government (pp. 35-42). JneidM., SalehI. & FakhouryR. (2019, October). Digital Transformation in Justice: Discussion of Challenges and a Conceptual Model for E-justice Success. In Proc. 19th Eur. Conf. Digit. Government (pp. 35-42).Search in Google Scholar

Re, R. M., & Solow-Niederman, A. (2019). Developing Artificially Intelligent Justice. Stan. Tech. L. Rev., 22, 242. ReR. M. & Solow-NiedermanA. (2019). Developing Artificially Intelligent Justice. Stan. Tech. L. Rev., 22, 242.Search in Google Scholar

Wang, N., & Tian, M. Y. (2023). “Intelligent Justice”: Human-centered Considerations in China’s Legal AI Transformation. AI and Ethics, 3(2), 349-354. WangN. & TianM. Y. (2023). “Intelligent Justice”: Human-centered Considerations in China’s Legal AI Transformation. AI and Ethics, 3(2), 349-354.Search in Google Scholar

Sa, S. (2023). Research on Criminal Justice Approaches under the Background of Intelligent Justice. International Journal of Frontiers in Sociology, 5(5). SaS. (2023). Research on Criminal Justice Approaches under the Background of Intelligent Justice. International Journal of Frontiers in Sociology, 5(5).Search in Google Scholar

Correia, P. M. A. R., Pereira, S. P. M., & Bilhim, J. A. D. F. (2024). Research of Innovation and Digital Transformation in Justice: A Systematic Review. Journal of Digital Technologies and Law, 2(1), 221-240. CorreiaP. M. A. R., PereiraS. P. M. & BilhimJ. A. D. F. (2024). Research of Innovation and Digital Transformation in Justice: A Systematic Review. Journal of Digital Technologies and Law, 2(1), 221-240.Search in Google Scholar

Watamura, E., Liu, Y., & Ioku, T. (2025). Judges Versus Artificial Intelligence in Juror Decision-making in Criminal Trials: Evidence from Two Pre-registered Experiments. PloS one, 20(1), e0318486. WatamuraE., LiuY. & IokuT. (2025). Judges Versus Artificial Intelligence in Juror Decision-making in Criminal Trials: Evidence from Two Pre-registered Experiments. PloS one, 20(1), e0318486.Search in Google Scholar

Latif, M., & Innash, A. R. (2024). DIGITAL TRANSFORMATION IN THE JUSTICE SYSTEM: ENHANCING EFFICIENCY AND ACCESSIBILITY OF LEGAL SERVICES. JIL: Journal of Indonesian Law, 5(2), 179-198. LatifM. & InnashA. R. (2024). DIGITAL TRANSFORMATION IN THE JUSTICE SYSTEM: ENHANCING EFFICIENCY AND ACCESSIBILITY OF LEGAL SERVICES. JIL: Journal of Indonesian Law, 5(2), 179-198.Search in Google Scholar

Pyrohovska, V., Holota, N., Kolotilova, T., Hreku, A., & Кroitor, V. (2024). E-justice and the Development of Justice: Strengths, Challenges and Prospects. Lex Humana (ISSN 2175-0947), 16(1), 426-442. PyrohovskaV., HolotaN., KolotilovaT., HrekuA. & КroitorV. (2024). E-justice and the Development of Justice: Strengths, Challenges and Prospects. Lex Humana (ISSN 2175-0947), 16(1), 426-442.Search in Google Scholar

Yao, J. J., & Hui, P. (2020, March). Research on the Application of Artificial Intelligence in Judicial Trial: Experience from China. In Journal of Physics: Conference Series (Vol. 1487, No. 1, p. 012013). IOP Publishing. YaoJ. J. & HuiP. (2020, March). Research on the Application of Artificial Intelligence in Judicial Trial: Experience from China. In Journal of Physics: Conference Series (Vol. 1487, No. 1, p. 012013). IOP Publishing.Search in Google Scholar

Sourdin, T. (2018). Judge v Robot?: Artificial Intelligence and Judicial Decision-making. University of New South Wales Law Journal, The, 41(4), 1114-1133. SourdinT. (2018). Judge v Robot?: Artificial Intelligence and Judicial Decision-making. University of New South Wales Law Journal, The, 41(4), 1114-1133.Search in Google Scholar

Januário, T. F. X. (2023). Artificial Intelligence in Criminal Proceedings: Human Rights at Risk? Revista Mexicana de Ciencias Penales, 7(21), 85-100. JanuárioT. F. X. (2023). Artificial Intelligence in Criminal Proceedings: Human Rights at Risk? Revista Mexicana de Ciencias Penales, 7(21), 85-100.Search in Google Scholar

Xu, Z. (2022). Human Judges in the Era of Artificial Intelligence: Challenges and Opportunities. Applied Artificial Intelligence, 36(1), 2013652. XuZ. (2022). Human Judges in the Era of Artificial Intelligence: Challenges and Opportunities. Applied Artificial Intelligence, 36(1), 2013652.Search in Google Scholar

Scherer, M. U. (2015). Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies. Harv. JL & Tech., 29, 353. SchererM. U. (2015). Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies. Harv. JL & Tech., 29, 353.Search in Google Scholar

Shanheng Huang, Zulin Hua, Peng Wang & Jingyi Shi. (2024). A Novel Longitudinal Connectivity Index to Evaluate Reticular River Networks Based on the Combination of Network Maximum Flow and Resistance Distance. Journal of Environmental Management, 367, 122062. HuangShanheng, HuaZulin, WangPeng & ShiJingyi. (2024). A Novel Longitudinal Connectivity Index to Evaluate Reticular River Networks Based on the Combination of Network Maximum Flow and Resistance Distance. Journal of Environmental Management, 367, 122062.Search in Google Scholar

Dinara Delikesheva, Erbol Essembayev, Aizada Sharauova, Jamilyam Ismailova & Nurlan Zaripov. (2024). Developing a Neural Network Model to Predict the Optimal Minimum Flow Rate for Effective Hole Cleaning. Eastern-European Journal of Enterprise Technologies, 5(2), 76-89. DelikeshevaDinara, EssembayevErbol, SharauovaAizada, IsmailovaJamilyam & ZaripovNurlan. (2024). Developing a Neural Network Model to Predict the Optimal Minimum Flow Rate for Effective Hole Cleaning. Eastern-European Journal of Enterprise Technologies, 5(2), 76-89.Search in Google Scholar

Mauro Dell’Amico, Jafar Jamal & Roberto Montemanni. (2023). Compact Models to Solve the Precedence-Constrained Minimum-Cost Arborescence Problem with Waiting Times. Algorithms, 17(1). Dell’AmicoMauro, JamalJafar & MontemanniRoberto. (2023). Compact Models to Solve the Precedence-Constrained Minimum-Cost Arborescence Problem with Waiting Times. Algorithms, 17(1).Search in Google Scholar

Hong Zheng. (2015). Adaptation of Network Simplex for the Traffic Assignment Problem. Transportation Science, 49(3), 543-558. ZhengHong. (2015). Adaptation of Network Simplex for the Traffic Assignment Problem. Transportation Science, 49(3), 543-558.Search in Google Scholar

G. A. PATWARDHAN, SHAILAJA SHARMA. (2015). INCOMPLETE BLOCK DESIGNS OBTAINED BY THE GENERALISED ROWJUXTAPOSITION AND GENERALISED COLUMNCONCATENATION OF INCIDENCE MATRICES. Proceedings of Indian National Science Academy, 19(5). PATWARDHANG. A., SHARMASHAILAJA. (2015). INCOMPLETE BLOCK DESIGNS OBTAINED BY THE GENERALISED ROWJUXTAPOSITION AND GENERALISED COLUMNCONCATENATION OF INCIDENCE MATRICES. Proceedings of Indian National Science Academy, 19(5).Search in Google Scholar

Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro