Academic literature on the topic 'Artificial debt'

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Journal articles on the topic "Artificial debt"

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Yahiya, Ahmad, and Bani Ahmad. "Automated debt recovery systems: Harnessing AI for enhanced performance." Journal of Infrastructure, Policy and Development 8, no. 7 (2024): 4893. http://dx.doi.org/10.24294/jipd.v8i7.4893.

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Amidst an upsurge in the quantity of delinquent loans, the financial industry is experiencing a fundamental transformation in the approaches utilised for debt recovery. The debt collection process is presently undergoing automation and improvement through the utilisation of Artificial Intelligence (AI), an emergent technology that holds the potential to revolutionise this sector. By leveraging machine learning, natural language processing, and predictive analytics, automated debt recovery systems analyse vast quantities of data, generate forecasts regarding the likelihood of recovery, and stre
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Sonawane, Tejas, Vatsalya Tiwari, and Dania Shah. "Kuber: An AI-Driven Finance Management Solution Integrating Generative LLMs for Personalized Advisory." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3752–57. https://doi.org/10.22214/ijraset.2025.69138.

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Abstract: Kuber is a personalized finance management platform that leverages artificial intelligence to deliver tailored financial advice. This paper presents the design and evaluation of Kuber, focusing on its AI-driven advisory engine (using Google’s Gemini model) and finance management methodology. The system collects a user’s financial information – income, expenses, debts, assets, and goals – and generates customized recommendations for budgeting, saving, debt repayment, and investment. Using advanced AI capabilities for data analysis and natural language generation, Kuber bridges the gap
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Kovalenko, Dmytro, Olga Afanasieva, Nani Zabuta, Tetiana Boiko, and Rosen Rosenov Baltov. "Model of Assessing the Overdue Debts in a Commercial Bank Using Neuro-Fuzzy Technologies." Journal of Risk and Financial Management 14, no. 5 (2021): 216. http://dx.doi.org/10.3390/jrfm14050216.

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This article considers the problems of overdue credit debt and the creation of effective methods to manage problem debts in banks. The purpose of this paper is to study the problem of overdue credit debt and create effective methods to manage problem debts in financial institutions. Based on a combination of tools of fuzzy logic theory and artificial neural networks, an economic-mathematical model of collection scoring was built. Kohonen self-organizing maps were used to set the parameters of membership functions in the process of fuzzification of quantitative variables of the built model. Dat
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Findler, Nicholas V. "The debt of artificial intelligence to John von Neumann." Artificial Intelligence Review 2, no. 4 (1988): 311–12. http://dx.doi.org/10.1007/bf00138819.

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Dmitrieva, O. "Deformation of Fiscal Policy and Debt Management as a Result of the Stabilization Fund Forming." Voprosy Ekonomiki, no. 3 (March 20, 2013): 20–32. http://dx.doi.org/10.32609/0042-8736-2013-3-20-32.

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The article shows the systematic mistake in the form of underestimation of project budget revenues. It is accompanied by the artificial increase in budget deficit which causes excessive borrowings and debt growth while in fact budget surplus takes place. It is proved that state borrowing and saving of assets in the sovereign funds (Reserve Fund and National Wealth Fund) lead to a combination of negative effects related to both deficit and surplus budgets: artificial slowdown of economic growth and increase in expenses for debt service.
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Ramesh Kumar, Sowmya. "Navigating Technical Debt in the Evolving Landscape of Machine Learning and Artificial Intelligence." International Journal of Science and Research (IJSR) 10, no. 4 (2021): 1370–71. http://dx.doi.org/10.21275/sr24212235641.

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Chuklova, Elena Valerievna, and Aleksandr V. Babich. "Abuse of right, unequal counter-execution, artificial debt in the context of challenging of debtor’s transactions under bankruptcy proceedings." Jus strictum, no. 3 (September 30, 2024): 27–33. http://dx.doi.org/10.18323/3034-2945-2024-3-58-4.

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The ambiguity of interpretation of the rules applied when challenging transactions within the framework of the initiated bankruptcy case and the absence of clear criteria for the grounds for challenging debtor’s transactions determine the reasonability of a deep comprehensive theoretical study of such categories as abuse of rights, unequal counter-execution, and artificial debt. The conducted analysis of judicial practice allowed concluding that invalid debtor’s transactions concluded with abuse of rights in order to create artificial debt or with unequal counter-execution are identified by si
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Pan, Nai Hsin, Ming Li Lee, and Chia Wei Chang. "Construction Financial Crisis Warning Model Using Data Mining." Advanced Materials Research 271-273 (July 2011): 684–88. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.684.

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This paper employs artificial neural network of data mining and decision tree algorithm to build financial crisis warning model. The research results show that, forecasting performance of artificial neural network is better than that of decision tree model, hence, “financial statement average warning model” established through artificial neural network based on the average revenue of the past three years before financial crisis has better forecasting performance than the “annual report forecast model”. Factor analysis is employed to select common factor in 1 year before financial crisis, and t
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Johnson, Jeffrey. "Addressing Water Loss With Artificial Intelligence." Opflow 51, no. 1 (2025): 8–9. https://doi.org/10.1002/opfl.2045.

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Many local leaders are just beginning to acknowledge how aging infrastructure, climate change, and population growth are putting additional pressure on their water supplies. The financial impact is substantial. US municipalities and local water utilities are facing budget shortfalls that are either passed through to residents via rate increases or are ignored, creating a vicious cycle of reduced maintenance, higher water loss, and increasing debt. The result is that citizens pay more for less water and, under current conditions, will continue to do so until effective solutions are found.
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Fioramanti, Marco. "Predicting sovereign debt crises using artificial neural networks: A comparative approach." Journal of Financial Stability 4, no. 2 (2008): 149–64. http://dx.doi.org/10.1016/j.jfs.2008.01.001.

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Dissertations / Theses on the topic "Artificial debt"

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Дутченко, Олег Миколайович, Олег Николаевич Дутченко, Oleh Mykolaiovych Dutchenko, Олена Олегівна Дутченко, Елена Олеговна Дутченко та Olena Olehivna Dutchenko. "Вплив кредитних зобов’язань суб’єктів господарювання на розвиток економіки". Thesis, Українська академія банківської справи Національного банку України, 2011. http://essuir.sumdu.edu.ua/handle/123456789/62641.

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Durowoju, Michael Oluwadamilare. "Application of artificial neural network for the structural integrity assessment of dent in pipelines." Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3807.

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Dent in a pipelines have been of major concern to pipeline operators for years because its severity cannot be easily determined. For many years dent severity was based on dent depth alone. This has led to unnecessary repairs and removal from service incurring considerable loss in revenue. Studies by researchers have indicated that other factors like pipe geometry, pipe material, dent geometry and pressure cycling could influence the severity of the dent in terms of the fatigue life reduction. Dent severity has been studied using dent depth based assessment, strain based assessment and fatigue
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Jarness, Samuel, and Elin Erlandsson. "Artificiell Intelligens och Ledarens Individuella Meningsskapande : En studie som belyser AI-diskursen, dess antaganden och dess eventuella inflytande på det individuella meningsskapandet." Thesis, Linnéuniversitetet, Institutionen för organisation och entreprenörskap (OE), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104463.

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Teknologisk utveckling har under åren lett till många innovativa lösningar som fått mer och mer plats i samhället. Inom den teknologiska utvecklingen ligger det stort fokus på artificiell intelligens (AI) och de möjligheter tekniken kan bidra med i framtiden. AI-tekniken har idag många intressenter där både privatpersoner och företag ingår. Då tekniken har många olika användningsområden blev det intressant för oss som forskare att undersöka hur denna teknik uppfattas samt implementeras i relation till organisationer. Eftersom uppfattningen om AI och dess konsekvenser både etableras inom diskur
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Kulanovic, Aneta. "Det offentliga ledarskapet av artificiell intelligens : Hur kan utmaningar med AI hanteras?" Thesis, Linköpings universitet, Statsvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-161741.

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This thesis examines how the public leadership is challenged by artificial intelligence and how public organisations in Sweden should lead their work according to this. The purpose focuses on how research defines artificial intelligence and which challenges that can be found, also what Sweden’s policy documents and leaders in public organisations highlights as important topics with AI and leadership. The thesis starts with the methodological and theoretical approaches. The theoretical framework is based on collaborative leadership which is mostly built on ‘t Hart, Torfing and Haugs views on co
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Fragoso, Larissa Silveira de Mendonça. "Avaliação da rugosidade do esmalte dental apos microabrasão e polimento e da microdureza superficial apos microabrasão, polimento e armazenamento em saliva artificial." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/289452.

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Orientador: Jose Roberto Lovadino<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Odontologia de Piracicaba<br>Made available in DSpace on 2018-08-15T04:10:10Z (GMT). No. of bitstreams: 1 Fragoso_LarissaSilveiradeMendonca_D.pdf: 5875751 bytes, checksum: fa7d309c1cc22de111d7f7c71f8d04c5 (MD5) Previous issue date: 2010<br>Resumo: Os objetivos deste estudo "in vitro" foram: 1) avaliar o efeito da microabrasão sobre a microdureza e a rugosidade do esmalte dental bovino, bem como a ação do polimento realizado com pastas apropriadas no esmalte abrasionado; 2) avaliar o armaze
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Pettersson, Mickaela, and Elin Svensson. "Artificiell nutrition och hydrering till patienter i det terminala skedet : En litteraturstudie om sjuksköterskors medverkan i beslutsprocessen." Thesis, Högskolan i Halmstad, Akademin för hälsa och välfärd, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-43423.

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Bakgrund: Beslutet om artificiell nutrition och hydrering (ANH) i det terminala skedet har länge varit ett högaktuellt ämne världen över. Sjuksköterskan är den i vårdteamet som står närmast patienten, identifierar dess behov och initierar en behandling med ANH. Därför var det av intresse att undersöka sjuksköterskans medverkan vid beslutsprocessen. Syfte: Syftet med studien var att beskriva sjuksköterskans medverkan vid bedömning av behovet av artificiell nutrition och hydrering i det terminala skedet. Metod: En allmän litteraturstudie med induktiv ansats. Elva vetenskapliga artiklar användes
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Såma, Ali, and Gloria Mugisha. "Revisionyrkets utveckling genom implementering av digitalisering : en studie som behandlar digitaliseringens påverkan på revisionen och det nuvarande kompetenskravet." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-23461.

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Vad är revision egentligen och varför är det så viktigt? Revision handlar om att kritiskt granska, bedöma och uttala sig om ett företags redovisning och förvaltning. Revision har under många år hjälpt individer att ta beslut kring ett företag utifrån kritiskt framtagna rapporter av auktoriserade revisorer som följer god redovisningssed. Revisionen är en viktig grund för intressenter och aktieägare men också för att säkerställa att juridiska och skatterättsliga restriktioner och regler som ständigt förnyas, tillämpas. Men vad som en gång var en vanlig arbetsuppgift för en revisor är idag annorl
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Gustafsson, Hannes, and Fredrik Kaiser. "Adaptiv AI i spel och dess påverkan på det upplevda underhållningsvärdet." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16978.

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Forslund, Lia, and Mentzer Sofia von. "Sjukvårdskris och svalt mottagande av AI, hur går det ihop? : En fallstudie i vilka faktorer som har störst påverkan på införandet av artificiell intelligens." Thesis, Uppsala universitet, Institutionen för informatik och media, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-414559.

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Det svenska sjukvårdssystemet är konstant under hög press och situationen benämns ofta i media som en sjukvårdskris. Radiologin är en av de medicinska discipliner som drabbats av en kontinuerligt ökande arbetsbelastning och personalbrist. Detta sätter sjukvården i en situation att konstant tvingas väga effektivitet mot kvalitet. Trots höga förväntningar på att innovationer som Artificiell Intelligens (AI) ska kunna bistå behoven, används AI idag i en mycket begränsad utsträckning. Denna studie syftar till att utreda påverkande faktorer för införandet av AI inom radiologin. För att besvara arbe
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Beji, Nadia. "Possession in the Modern Age : a Jungian analysis of possession within the Anglican faith." Thesis, Högskolan i Gävle, Avdelningen för kultur-, religions- och utbildningsvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-12011.

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This essay uses interviews to gather information regarding the experience and belief which exists in regards to possession within the Anglican faith. It also uses Jungian psychology to analyse these experiences and beliefs; this is interesting because even in the modern day of science, possession continues to be a phenomenon. It still occurs closer to home than we may think; a modern western country such as England, where Anglicanism is the state religion, have special ministries assigned to deal with this in every diocese. The information was gathered through interviews and literature, to giv
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Books on the topic "Artificial debt"

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Siemerling, Winfried. Artificial intelligence in the humanities: A practical introduction to Déredec. Dept. of French, University of Toronto, 1989.

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Robert, Pignataro, and United States. National Aeronautics and Space Administration., eds. The spinning artificial gravity environment: A design project for the United States Naval Academy Aerospace Engineering Dept. National Aeronautics and Space Administration, 1987.

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United States. General Accounting Office., ed. Military satellite communications: Potential for greater use of commercial satellite capabilities : statement for the record of Louis J. Rodrigues, Director, Command, Control, Communications, and Intelligence Issues, National Security and International Affairs Division, before the Subcommittee on Defense, Committee on Appropriations, House of Representatives. The Office, 1992.

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United States. General Accounting Office., ed. Military satellite communications: Potential for greater use of commercial satellite capabilities : statement for the record of Louis J. Rodrigues, Director, Command, Control, Communications, and Intelligence Issues, National Security and International Affairs Division, before the Subcommittee on Defense, Committee on Appropriations, House of Representatives. The Office, 1992.

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United States. Congress. House. Committee on Government Operations. Milstar communications system: Comprehensive reevaluation needed : seventeenth report. U.S. G.P.O., 1994.

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United States. Congress. Senate. Committee on Armed Services. Subcommittee on Strategic Forces. Space acquisition policies and processes: Hearing before the Subcommittee on Strategic Forces of the Committee on Armed Services, United States Senate, One Hundred Eighth Congress, first session, November 18, 2003. U.S. G.P.O., 2004.

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Schinasi, Katherine V. Export controls: Change in licensing jurisdiction for commercial communications satellites : statement of Katherine V. Schinasi, Associate Director, Defense Acquisitions Issues, National Security and International Affairs Division, before the Committee on Commerce, Science, and Transportation, U.S. Senate. The Office, 1998.

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Schinasi, Katherine V. Export controls: Issues related to the export of communications satellites : statement for the record by Katherine V. Schinasi, Associate Director, Defense Acquisitions Issues, National Security and International Affairs Division, before the Committees on International Relations and on National Security, House of Representatives. The Office, 1998.

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Schinasi, Katherine V. Export controls: Issues related to commercial communications satellites : statement of Katherine V. Schinasi, Associate Director, Defense Acquisitions Issues, National Security and International Affairs Division, before the Select Committee on Intelligence, U.S. Senate. The Office, 1998.

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Office, General Accounting. Military satellite communications: Opportunity to save billions of dollars : report to the Chairman, Legislation and National Security Subcommittee, Committee on Government Operations, House of Representatives. The Office, 1993.

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Book chapters on the topic "Artificial debt"

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Skachkova, Yu A. "Issues of Interdependence of External Debt of States and Human Rights in the UN Activities." In Artificial Intelligence: Anthropogenic Nature vs. Social Origin. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39319-9_53.

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Rajendran, Savithaa, Aparna Kongot, and Kratika Varma. "Ethical AI Based Decision Making to Reduce Tax Related Debts for Governments." In Artificial Intelligence in HCI. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35891-3_28.

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Ivánek, J., P. Berka, J. Ferjenčík, and B. Stejskal. "Knowledge engineering research and training at the dept. of scientific and technical information, prague school of economics." In Artificial Intelligence in Higher Education. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/3-540-52952-7_8.

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Lin, Zewei, Yanqing Shen, Sanping Zhou, Shitao Chen, and Nanning Zheng. "MLF-DET: Multi-Level Fusion for Cross-Modal 3D Object Detection." In Artificial Neural Networks and Machine Learning – ICANN 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44195-0_12.

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Sumathy, S. "Traffic Road Sign Detection and Recognition Approach Using OCR Based on Efficient DET and ROI Extraction." In Artificial Intelligence and Machine Learning for Business. Apple Academic Press, 2025. https://doi.org/10.1201/9781003535850-3.

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Li, Yuda. "The Investigation of DeiT model Based on PaddlePaddle Framework on CIFAR-10 Dataset Image Classification." In Proceedings of the 2023 International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2023). Atlantis Press International BV, 2023. http://dx.doi.org/10.2991/978-94-6463-300-9_106.

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Zittrain, Jonathan. "Intellectual Debt." In The Cambridge Handbook of Responsible Artificial Intelligence. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781009207898.014.

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Takahashi Masakazu, Azuma Hiroki, Ikeda Masanori, and Tsuda Kazuhiko. "Building Knowledge for Characterization of the Bad Debt Customers in the Mail Order Industry with Random Forest." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-105-2-867.

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This paper presents investigating the customercharacteristics from the bad debt list ofa mail order corporation. So far, suchinvestigations have not made intensively, especiallyprivate defaultrisks and conventional method for predicting such risks depend on the employee&amp;apos;s working experiences. For these reason, at first,we observedtheactual bad debt list from amail order corporationand analyzedsales data. From the results of the observation, we makeuse of the machine learningmethod to characterizethe potential bad debt customers. Intensive research hasrevealed that the characteristicso
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Zhang, Jean X. "CEO Tenure and Debt." In Artificial Higher Order Neural Networks for Economics and Business. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-897-0.ch015.

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This chapter proposes nonlinear models using artificial neural network models to study the relationship between chief elected official (CEO) tenure and debt. Using Higher Order Neural Network (HONN) simulator, this study analyzes debt of the municipalities as a function of population and CEO tenure, and compares the results with that from SAS. The linear models show that CEO tenure and the amount of debt vary inversely. Specifically, a longer length of CEO tenure leads to a decrease in debt, while a shorter tenure leads to an increase in debt. This chapter shows nonlinear model generated from
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Tong, Jinyun, Bart De Keijzer, and Carmine Ventre. "Selfishly Cancelling Debts Can Reduce Systemic Risk." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240890.

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The exposure of banks to systemic risk in financial networks usually requires large bailouts of taxpayer money with long-lasting and damaging societal consequences. We examine whether the banking network can reduce systemic risk from within by selfishly cancelling the debts of banks in distress. This operation can in principle reduce losses and prevent default cascades. We define an abstract model to simulate the ensuing strategic game on randomly generated financial networks, where each systemically important bank independently decides how likely it is to cancel some debts of insolvent banks.
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Conference papers on the topic "Artificial debt"

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P, Yabez Davidraj, Elavarasan S, Vivek T, and Ramesh Munirathinam. "Investigation on the Performance of DeiT Model in Medical Image Classification." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011722.

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Zhang, Hongning, Tong Shi, Qingquan Duan, et al. "A Dent Defect Identification and Quantization Algorithm of Buried Pipeline Via the IMU Data." In 2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI). IEEE, 2024. http://dx.doi.org/10.1109/icecai62591.2024.10675002.

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Kanellopoulos, Panagiotis, Maria Kyropoulou, and Hao Zhou. "Forgiving Debt in Financial Network Games." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/48.

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We consider financial networks, where nodes correspond to banks and directed labeled edges correspond to debt contracts between banks. Maximizing systemic liquidity, i.e., the total money flow, is a natural objective of any financial authority. In particular, the financial authority may offer bailout money to some bank(s) or forgive the debts of others in order to maximize liquidity, and we examine efficient ways to achieve this. We study the computational hardness of finding the optimal debt-removal and budget-constrained optimal bailout policy, respectively, and we investigate the approximat
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Sklavenitis, Dionysios, and Dimitris Kalles. "Measuring Technical Debt in AI-Based Competition Platforms." In SETN 2024: 13th Hellenic Conference on Artificial Intelligence. ACM, 2024. https://doi.org/10.1145/3688671.3688783.

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Akinwande, Mayowa, Alexander Lopez, Tobi Yusuf, et al. "Data Analysis on Credit Card Debt: Rate of Consumption and Impact on Individuals and the US Economy." In 5th International Conference on Artificial Intelligence and Big Data. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.140401.

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This paper provides a comprehensive examination of the evolution of credit cards in the United States, tracing their historical development, causes, consequences, and impact on both individuals and the economy. It delves into the transformation of credit cards from specialized merchant cards to ubiquitous financial tools, driven by legal changes like the Marquette decision. Credit card debt has emerged as a significant financial challenge for many Americans due to economic factors, consumerism, high healthcare costs, and financial illiteracy. The consequences of this debt on individuals are ex
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Xiao, Wenfeng. "Financial risks and countermeasures of debt financing." In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6011074.

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Wang, Zihao, Jia Liu, Hengbin Cui, et al. "Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/639.

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With the rapid growth of internet finance and the booming of financial lending, the intelligent calling for debt collection in FinTech companies has driven increasing attention. Nowadays, the widely used intelligent calling system is based on dialogue flow, namely configuring the interaction flow with the finite-state machine. In our scenario of debt collection, the completed dialogue flow contains more than one thousand interactive paths. All the dialogue procedures are artificially specified, with extremely high maintenance costs and error-prone. To solve this problem, we propose the behavio
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Lima, Helton Souza, Damires Yluska de Souza Fernandes, and Thiago José Moura. "On the evaluation of example-dependent cost-sensitive models for tax debts classification." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/eniac.2022.227607.

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Example-dependent cost-sensitive classification methods are suitable to many real-world classification problems, where the costs, due to misclassification, vary among every example of a dataset. Tax administration applications are included in this segment of problems, since they deal with different values involved in the tax payments. To help matters, this work presents an experimental evaluation which aims to verify whether cost-sensitive learning algorithms are more cost-effective on average than traditional ones. This task is accomplished in a tax administration application domain, what imp
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Xu, Wei-wei. "Risk conversion of debt financing in the coal company." In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6011254.

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Binyuan Luo. "Corporate income tax rate, ownership and optimization of debt structure." In 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC). IEEE, 2011. http://dx.doi.org/10.1109/aimsec.2011.6010270.

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Reports on the topic "Artificial debt"

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Khalil, Samar, Yenitze Fimbres, Vishnukiran Thuraga, and Aakash Chawade. Integration av artificiell intelligens som bevakningsverktyg i akvaponiska system. Faculty of Landscape Architecture, Horticulture and Crop Production Science, Swedish University of Agricultural Sciences, 2025. https://doi.org/10.54612/a.4hae6at1tc.

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Ett akvaponiskt system är ett odlingssystem som integrerar fiskodling (Akvakultur) med växtodling (hydroponiskt system), där näringsflödet från fiskevatten används för att gödsla växterna i den hydroponiska delen (Figur 1). Systemet betraktas som resurseffektivt med en miljövänlig profil eftersom växten kan använda de återvunna näringsämnena från fiskevatten och därigenom minska övergödningseffekten. Hållbara akvaponiska system har en stor potential att möta behovet i akvakultur när det gäller intensifiering av den landbaserade vattenbruksproduktionen och öka proteinproduktionen. De har också
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Ossa, Carlos, and Carlos Willatt. Retroalimentación efectiva basada en inteligencia artificial generativa. Criterios de evaluación para la escritura de casos pedagógicos. Universidad Autónoma de Chile, 2023. http://dx.doi.org/10.32457/12728/102782023120.

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En este documento de trabajo presentamos criterios preestablecidos para la evaluación con propósito de retroalimentación descriptiva de textos de respuesta a casos pedagógicos, producidos por estudiantes de la asignatura Ética Profesional Docente de la Facultad de Educación de la Universidad Autónoma de Chile. Para ello, hemos descrito tres criterios que permiten observar la calidad de tal escritura. El primero, Silueta de respuesta a un caso, verifica la presencia de partes o secciones que debe mínimamente poseer el texto. Del mismo modo, se describe la extensión mínima y máxima requerida par
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Samuelsson, Joakim. Artificiell intelligens i matematikundervisningen: En studie av utveckling av flyt på grundläggande talkombinationer. Linköping University Electroninc Press, 2023. http://dx.doi.org/10.3384/9789180750639.

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I denna studie studeras hur flyt på grundläggande talkombinationer utvecklas när elever övar upp sitt flyt med stöd av artificiell intelligens. Det finns flera skäl till att studera detta område. Dels handlar det om att artificiell intelligens börjar användas alltmer inom matematikutbildning, dels att flyt på talkombinationer är en central aspekt av aritmetiken samt att tidigare studier har visat att elever i behov av särskilt stöd i matematik har problem med flyt på grundläggande talkombinationer I denna studie prövas tre olika interventioner för att utveckla flyt på talkombinationer i årskur
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Vásquez Romero, Rodrigo Efrén, Mónica Cepeda Granados, and Nelly Carolina Ortega Flórez. Buenas Prácticas Apícolas. Corporación colombiana de investigación agropecuaria - AGROSAVIA, 2020. http://dx.doi.org/10.21930/agrosavia.plegable.2020.3.

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Las buenas prácticas son indispensables para que los productores agropecuarios puedan garantizar la calidad de sus productos, el bienestar de los animales y el bienestar propio. La selección adecuada del lugar para instalar el apiario es parte esencial de las buenas prácticas. Este debe ser un espacio que cuente con buena oferta floral, con agua limpia para las abejas y que esté retirado de fuentes de contaminación. Se recomienda proteger el apiario con un encerramiento natural o artificial para disminuir el riesgo de accidentes por picaduras y evitar que el enjambre sufra daños por vientos fu
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Torreblanca, José Ignacio, Irene Sánchez, Manuel Acevedo, Ángel Melguizo, and Víctor Muñoz. Conectando regiones, cerrando brechas, construyendo soberanía · Alianza Digital Unión Europea-América Latina y Caribe: recomendaciones de cara a la Cumbre UE-CELAC. Fundación Carolina, 2025. https://doi.org/10.33960/issn-e.1885-9119.dtfcecfr.

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El deterioro del contexto geopolítico internacional hace imperativo impulsar la relación entre la Unión Europea y América Latina y el Caribe. Además de colaborar en el sostenimiento del multilateralismo y el derecho internacional, las dos regiones tienen que profundizar sus vínculos económicos y comerciales, así como cerrar sus brechas digitales y tecnológicas. La agenda de cooperación digital presenta una oportunidad única, basada en un enfoque compartido, centrado en el ser humano, para la transformación digital y en los desafíos comunes que enfrentan ambas regiones. Consolidar y fortalecer
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Yoosef-Ghodsi and Zimmerman. L51879 Effect of Y-T Ratio on Mechanical Damage Tolerance for Strain-Limit Pipeline Design. Pipeline Research Council International, Inc. (PRCI), 2008. http://dx.doi.org/10.55274/r0011057.

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This work investigates the effect of the yield-to-tensile strength ratio (Y/T) has on the mechanical damage tolerances of steel pipelines subject to high strain loading conditions. The work includes full-scale tests and the development of an analytical model for calculating longitudinal tensile strain capacity. The tests were designed to simulate the type of loading that occurs in a pipeline subjected to a �significant ground movement event, and they involved pressurized tension tests on short, full pipe sections that contained artificially-manufactured, circumferentially-oriented dent-gouge d
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Ulate Brenes, Eliana, Edgar Mora, Cristina Pombo, et al. La importancia de establecer un marco orientador de política pública para el uso responsable y ético de la inteligencia artificial y su aplicación en Costa Rica. Banco Interamericano de Desarrollo, 2021. http://dx.doi.org/10.18235/0003773.

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El Ministerio de Ciencia, Tecnología y Telecomunicaciones (MICITT) de Costa Rica, en colaboración con el Banco Interamericano de Desarrollo (BID), y con apoyo del Consejo Asesor de fAIr LAC Costa Rica, elaboró este documento de referencia como insumo de una hoja de ruta que permita crear un marco para el uso ético, responsable y seguro de la IA en el país. Este esfuerzo está enmarcado en la iniciativa fAIr LAC y está basado en el modelo de la quíntuple hélice de innovación del ecosistema costarricense a través de un Consejo Asesor, el cual reúne al sector privado (America Free Zone -AFZ, Intel
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Cobreros Vicente, Lucía, Lucas Gortázar, and Juan Manuel Moreno. La subida de las notas de Selectividad: ¿Inflación o competición? Esade EcPol, 2023. http://dx.doi.org/10.56269/202300614/lcb.

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Entre 2013 y 2020 tuvo lugar una fuerte subida de las notas de admisión a la universidad en España. Con microdatos del Sistema Integrado de Información Universitaria del Ministerio de Universidades (SIIU) analizamos las causas de este incremento, diferenciando entre el aumento en las calificaciones de bachillerato, la fase general y la fase específica. Vemos que la fase específica es el componente que más explica el incremento de la nota de admisión, pero su peso varía en función del rendimiento del alunando. Además, tratamos de entender si se debe a un aumento artificial de las calificaciones
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Grönbäck, Anna-Maria, Tobias Andersson Granberg, and Niki Matinrad. Tillämpningar av modern teknik inom räddning : möjligheter och framtida frågeställningar. Linköping University Electronic Press, 2024. http://dx.doi.org/10.3384/9789180758468.

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Denna rapport ger en översikt över forskning och erfarenheter gällande räddningsinsatser där nya tekniker har använts, eller skulle kunna användas, vid såväl faktiska insatser som vid övning. Via en litteraturstudie, kompletterad med intervjuer med personer som är verksamma i projekt inom området, identifierades utmaningar och potential med modern teknik inom räddning. De olika teknologierna kategoriserades som Unmanned aerial/ground/surface vehicles (UXV), Artificiell intelligens (AI), Extended reality (XR, vilket inkluderar bland annat virtual och augmented reality), Kommunikationer, Sensore
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Burstein, Jill. Duolingo English Test Responsible AI Standards. Duolingo, 2023. http://dx.doi.org/10.46999/vcae5025.

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Artificial intelligence (AI) is now instantiated in digital learning and assessment platforms. Many sectors, including tech, government, legal, and military sectors, now have used formalized principles to develop responsible AI standards. While there is a substantial literature around responsible AI more generally (e.g., Fjeld et al., 2020; Gianni et al., 2022; and, NIST, 20231 ), traditional validity frameworks (such as, Xi, 2010a; Chapelle et al., 2008; Kunnan, 2000; and, Kane, 1992) pre-date AI advances, and do not provide formal standards for the use of AI in assessment. The AERA/APA/NCME
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