Decision Support Systems for Government Auditing: The Role of AI in Ensuring Transparency and Compliance
DOI:
https://doi.org/10.5281/zenodo.15489803Keywords:
Decision Support Systems (DSS), Government Auditing, Artificial Intelligence (AI), Public Sector Transparency, Regulatory Compliance, Audit Automation, Machine Learning, Fraud Detection, Accountability, Risk Assessment, Data Analytics, E-Governance, Internal Controls, Digital Audit Tools, Ethical AIAbstract
In a world growing increasingly entangled in the web of data and its profound implications, Audit and compliance departments face unprecedented challenges. The sheer magnitude of data generated today necessitates access to new tools for the understanding and interpretation of such data, or simply for its effective storage. Traditionally, these departments relied upon the analysis of a small sample of transactions. However, the changing reality forces auditors to reconsider their approach. A high-impact Compliance Access Control (CAC) is to guarantee timely and extensive compliance verification of all data, as mandated by legislation. In this regard, businesses require a “Decision Support System for government auditing.” The system should ensure inquiry compliance by means of automatically generating the relevant audit queries, given the transaction data and legislative input. This paper proposes a semi-automatic solution and demonstrates how a few programmatically solvable problems can give rise to the desired compliance access control tools. An implementation of the proposed system is illustrated through a case study in financial services. When data and its associated interpretation are the core assets at stake, the lack of automated tools might jeopardize the very business model. The advent of the so-called data economy 4.0 has deeply transformed the nature of auditing and compliance assurance. Data is now a product created by clients and resold to third parties. But the data revolution comes with a twist: Legislators have caught up with its growing power as an asset and, in turn, prescribed mandates for the audit and compliance departments. In this regard, one of the most radical changes is the legislation requiring inquiry compliance with all data, and not just a sample. City financial supervisors have led the charge in promulgating such legislation, fostering an epochal shift in the audit industry towards tools capable of guaranteeing inquiry compliance with all data.
References
Kannan, S., Annapareddy, V. N., Gadi, A. L., Kommaragiri, V. B., & Koppolu, H. K. R. (2023). AI-Driven Optimization of Renewable Energy Systems: Enhancing Grid Efficiency and Smart Mobility Through 5G and 6G Network Integration. Available at SSRN 5205158.
Komaragiri, V. B. The Role of Generative AI in Proactive Community Engagement: Developing Scalable Models for Enhancing Social Responsibility through Technological Innovations.
Paleti, S. (2023). Data-First Finance: Architecting Scalable Data Engineering Pipelines for AI-Powered Risk Intelligence in Banking. Available at SSRN 5221847.
Rao Challa, S. (2023). Revolutionizing Wealth Management: The Role Of AI, Machine Learning, And Big Data In Personalized Financial Services. Educational Administration: Theory and Practice. https://doi.org/10.53555/kuey.v29i4.9966
Yellanki, S. K. (2023). Enhancing Retail Operational Efficiency through Intelligent Inventory Planning and Customer Flow Optimization: A Data-Centric Approach. European Data Science Journal (EDSJ) p-ISSN 3050-9572 en e-ISSN 3050-9580, 1(1).
Mashetty, S. (2023). A Comparative Analysis of Patented Technologies Supporting Mortgage and Housing Finance. Educational Administration: Theory and Practice. https://doi.org/10.53555/kuey.v29i4.9964
Lakkarasu, P., Kaulwar, P. K., Dodda, A., Singireddy, S., & Burugulla, J. K. R. (2023). Innovative Computational Frameworks for Secure Financial Ecosystems: Integrating Intelligent Automation, Risk Analytics, and Digital Infrastructure. International Journal of Finance (IJFIN)-ABDC Journal Quality List, 36(6), 334-371.
Motamary, S. (2022). Enabling Zero-Touch Operations in Telecom: The Convergence of Agentic AI and Advanced DevOps for OSS/BSS Ecosystems. Kurdish Studies. https://doi.org/10.53555/ks.v10i2.3833
Suura, S. R., Chava, K., Recharla, M., & Chakilam, C. (2023). Evaluating Drug Efficacy and Patient Outcomes in Personalized Medicine: The Role of AI-Enhanced Neuroimaging and Digital Transformation in Biopharmaceutical Services. Journal for ReAttach Therapy and Developmental Diversities, 6, 1892-1904.
Sai Teja Nuka (2023) A Novel Hybrid Algorithm Combining Neural Networks And Genetic Programming For Cloud Resource Management. Frontiers in HealthInforma 6953-6971
Meda, R. (2023). Developing AI-Powered Virtual Color Consultation Tools for Retail and Professional Customers. Journal for ReAttach Therapy and Developmental Diversities. https://doi.org/10.53555/jrtdd.v6i10s(2).3577
Annapareddy, V. N., Preethish Nanan, B., Kommaragiri, V. B., Gadi, A. L., & Kalisetty, S. (2022). Emerging Technologies in Smart Computing, Sustainable Energy, and Next-Generation Mobility: Enhancing Digital Infrastructure, Secure Networks, and Intelligent Manufacturing. Venkata Bhardwaj and Gadi, Anil Lokesh and Kalisetty, Srinivas, Emerging Technologies in Smart Computing, Sustainable Energy, and Next-Generation Mobility: Enhancing Digital Infrastructure, Secure Networks, and Intelligent Manufacturing (December 15, 2022).
Lakkarasu, P. (2023). Designing Cloud-Native AI Infrastructure: A Framework for High-Performance, Fault-Tolerant, and Compliant Machine Learning Pipelines. Journal for ReAttach Therapy and Developmental Diversities. https://doi.org/10.53555/jrtdd.v6i10s(2).3566
Kaulwar, P. K., Pamisetty, A., Mashetty, S., Adusupalli, B., & Pandiri, L. (2023). Harnessing Intelligent Systems and Secure Digital Infrastructure for Optimizing Housing Finance, Risk Mitigation, and Enterprise Supply Networks. International Journal of Finance (IJFIN)-ABDC Journal Quality List, 36(6), 372-402.
Malempati, M. (2023). A Data-Driven Framework For Real-Time Fraud Detection In Financial Transactions Using Machine Learning And Big Data Analytics. Available at SSRN 5230220.
Recharla, M. (2023). Next-Generation Medicines for Neurological and Neurodegenerative Disorders: From Discovery to Commercialization. Journal of Survey in Fisheries Sciences. https://doi.org/10.53555/sfs.v10i3.3564
Lahari Pandiri. (2023). Specialty Insurance Analytics: AI Techniques for Niche Market Predictions. International Journal of Finance (IJFIN) - ABDC Journal Quality List, 36(6), 464-492.
Challa, K. Dynamic Neural Network Architectures for Real-Time Fraud Detection in Digital Payment Systems Using Machine Learning and Generative AI.
Chava, K. (2023). Integrating AI and Big Data in Healthcare: A Scalable Approach to Personalized Medicine. Journal of Survey in Fisheries Sciences. https://doi.org/10.53555/sfs.v10i3.3576
Kalisetty, S., & Singireddy, J. (2023). Optimizing Tax Preparation and Filing Services: A Comparative Study of Traditional Methods and AI Augmented Tax Compliance Frameworks. Available at SSRN 5206185.
Paleti, S., Singireddy, J., Dodda, A., Burugulla, J. K. R., & Challa, K. (2021). Innovative Financial Technologies: Strengthening Compliance, Secure Transactions, and Intelligent Advisory Systems Through AI-Driven Automation and Scalable Data Architectures. Secure Transactions, and Intelligent Advisory Systems Through AI-Driven Automation and Scalable Data Architectures (December 27, 2021).
Sriram, H. K. (2023). The Role Of Cloud Computing And Big Data In Real-Time Payment Processing And Financial Fraud Detection. Available at SSRN 5236657.
Koppolu, H. K. R. Deep Learning and Agentic AI for Automated Payment Fraud Detection: Enhancing Merchant Services Through Predictive Intelligence.
Sheelam, G. K. (2023). Adaptive AI Workflows for Edge-to-Cloud Processing in Decentralized Mobile Infrastructure. Journal for Reattach Therapy and Development Diversities. https://doi.org/10.53555/jrtdd.v6i10s(2).3570
Kummari, D. N. (2023). AI-Powered Demand Forecasting for Automotive Components: A Multi-Supplier Data Fusion Approach. European Advanced Journal for Emerging Technologies (EAJET)-p-ISSN 3050-9734 en e-ISSN 3050-9742, 1(1).
Suura, S. R., Chava, K., Recharla, M., & Chakilam, C. (2023). Evaluating Drug Efficacy and Patient Outcomes in Personalized Medicine: The Role of AI-Enhanced Neuroimaging and Digital Transformation in Biopharmaceutical Services. Journal for ReAttach Therapy and Developmental Diversities, 6, 1892-1904.
Balaji Adusupalli. (2022). Secure Data Engineering Pipelines For Federated Insurance AI: Balancing Privacy, Speed, And Intelligence. Migration Letters, 19(S8), 1969–1986. Retrieved from https://migrationletters.com/index.php/ml/article/view/11850
Pamisetty, A. (2023). AI Powered Predictive Analytics in Digital Banking and Finance: A Deep Dive into Risk Detection, Fraud Prevention, and Customer Experience Management. Fraud Prevention, and Customer Experience Management (December 11, 2023).
Gadi, A. L. (2022). Connected Financial Services in the Automotive Industry: AI-Powered Risk Assessment and Fraud Prevention. Journal of International Crisis and Risk Communication Research, 11-28.
Dodda, A. (2023). AI Governance and Security in Fintech: Ensuring Trust in Generative and Agentic AI Systems. American Advanced Journal for Emerging Disciplinaries (AAJED) ISSN: 3067-4190, 1(1).
Gadi, A. L. (2022). Cloud-Native Data Governance for Next-Generation Automotive Manufacturing: Securing, Managing, and Optimizing Big Data in AI-Driven Production Systems. Kurdish Studies. https://doi.org/10.53555/ks.v10i2.3758
Pamisetty, A. Optimizing National Food Service Supply Chains through Big Data Engineering and Cloud-Native Infrastructure.
Sriram, H. K., ADUSUPALLI, B., & Malempati, M. (2021). Revolutionizing Risk Assessment and Financial Ecosystems with Smart Automation, Secure Digital Solutions, and Advanced Analytical Frameworks.
Chakilam, C. (2022). Integrating Machine Learning and Big Data Analytics to Transform Patient Outcomes in Chronic Disease Management. Journal of Survey in Fisheries Sciences. https://doi.org/10.53555/sfs.v9i3.3568
Koppolu, H. K. R. (2021). Leveraging 5G Services for Next-Generation Telecom and Media Innovation. International Journal of Scientific Research and Modern Technology, 89–106. https://doi.org/10.38124/ijsrmt.v1i12.472
Sriram, H. K. (2022). Integrating generative AI into financial reporting systems for automated insights and decision support. Available at SSRN 5232395.
Paleti, S., Burugulla, J. K. R., Pandiri, L., Pamisetty, V., & Challa, K. (2022). Optimizing Digital Payment Ecosystems: Ai-Enabled Risk Management, Regulatory Compliance, And Innovation In Financial Services. Regulatory Compliance, And Innovation In Financial Services (June 15, 2022).
Malempati, M., Pandiri, L., Paleti, S., & Singireddy, J. (2023). Transforming Financial And Insurance Ecosystems Through Intelligent Automation, Secure Digital Infrastructure, And Advanced Risk Management Strategies. Jeevani, Transforming Financial And Insurance Ecosystems Through Intelligent Automation, Secure Digital Infrastructure, And Advanced Risk Management Strategies (December 03, 2023).
Karthik Chava. (2022). Harnessing Artificial Intelligence and Big Data for Transformative Healthcare Delivery. International Journal on Recent and Innovation Trends in Computing and Communication, 10(12), 502–520. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/11583
Challa, K. (2023). Optimizing Financial Forecasting Using Cloud Based Machine Learning Models. Journal for ReAttach Therapy and Developmental Diversities. https://doi.org/10.53555/jrtdd.v6i10s(2).3565
Pandiri, L., Paleti, S., Kaulwar, P. K., Malempati, M., & Singireddy, J. (2023). Transforming Financial And Insurance Ecosystems Through Intelligent Automation, Secure Digital Infrastructure, And Advanced Risk Management Strategies. Educational Administration: Theory and Practice, 29 (4), 4777–4793.
Recharla, M., & Chitta, S. AI-Enhanced Neuroimaging and Deep Learning-Based Early Diagnosis of Multiple Sclerosis and Alzheimer’s.
Pamisetty, A., Sriram, H. K., Malempati, M., Challa, S. R., & Mashetty, S. (2022). AI-Driven Optimization of Intelligent Supply Chains and Payment Systems: Enhancing Security, Tax Compliance, and Audit Efficiency in Financial Operations. Tax Compliance, and Audit Efficiency in Financial Operations (December 15, 2022).
Kaulwar, P. K. (2022). Securing The Neural Ledger: Deep Learning Approaches For Fraud Detection And Data Integrity In Tax Advisory Systems. Migration Letters, 19, 1987-2008.
Lakkarasu, P. (2023). Generative AI in Financial Intelligence: Unraveling its Potential in Risk Assessment and Compliance. International Journal of Finance (IJFIN)-ABDC Journal Quality List, 36(6), 241-273.
Gadi, A. L., Kannan, S., Nanan, B. P., Komaragiri, V. B., & Singireddy, S. (2021). Advanced Computational Technologies in Vehicle Production, Digital Connectivity, and Sustainable Transportation: Innovations in Intelligent Systems, Eco-Friendly Manufacturing, and Financial Optimization. Universal Journal of Finance and Economics, 1(1), 87-100.
Meda, R. (2022). Integrating IoT and Big Data Analytics for Smart Paint Manufacturing Facilities. Kurdish Studies. https://doi.org/10.53555/ks.v10i2.3842
Nuka, S. T., Annapareddy, V. N., Koppolu, H. K. R., & Kannan, S. (2021). Advancements in Smart Medical and Industrial Devices: Enhancing Efficiency and Connectivity with High-Speed Telecom Networks. Open Journal of Medical Sciences, 1(1), 55-72.
Suura, S. R. (2022). Advancing Reproductive and Organ Health Management through cell-free DNA Testing and Machine Learning. International Journal of Scientific Research and Modern Technology, 43–58. https://doi.org/10.38124/ijsrmt.v1i12.454
Kannan, S. The Convergence of AI, Machine Learning, and Neural Networks in Precision Agriculture: Generative AI as a Catalyst for Future Food Systems.
Implementing Infrastructure-as-Code for Telecom Networks: Challenges and Best Practices for Scalable Service Orchestration. (2021). International Journal of Engineering and Computer Science, 10(12), 25631-25650. https://doi.org/10.18535/ijecs.v10i12.4671
Singireddy, S. (2023). AI-Driven Fraud Detection in Homeowners and Renters Insurance Claims. Journal for Reattach Therapy and Development Diversities. https://doi.org/10.53555/jrtdd.v6i10s(2).3569
Mashetty, S. (2022). Innovations In Mortgage-Backed Security Analytics: A Patent-Based Technology Review. Kurdish Studies. https://doi.org/10.53555/ks.v10i2.3826
Rao Challa, S. (2023). Artificial Intelligence and Big Data in Finance: Enhancing Investment Strategies and Client Insights in Wealth Management. International Journal of Science and Research (IJSR), 12(12), 2230–2246. https://doi.org/10.21275/sr231215165201
Paleti, S. (2023). Trust Layers: AI-Augmented Multi-Layer Risk Compliance Engines for Next-Gen Banking Infrastructure. Available at SSRN 5221895.
Pamisetty, V., Pandiri, L., Annapareddy, V. N., & Sriram, H. K. (2022). Leveraging AI, Machine Learning, And Big Data For Enhancing Tax Compliance, Fraud Detection, And Predictive Analytics In Government Financial Management. Machine Learning, And Big Data For Enhancing Tax Compliance, Fraud Detection, And Predictive Analytics In Government Financial Management (June 15, 2022).
Komaragiri, V. B. (2023). Leveraging Artificial Intelligence to Improve Quality of Service in Next-Generation Broadband Networks. Journal for ReAttach Therapy and Developmental Diversities. https://doi.org/10.53555/jrtdd.v6i10s(2).3571
Kommaragiri, V. B., Preethish Nanan, B., Annapareddy, V. N., Gadi, A. L., & Kalisetty, S. (2022). Emerging Technologies in Smart Computing, Sustainable Energy, and Next-Generation Mobility: Enhancing Digital Infrastructure, Secure Networks, and Intelligent Manufacturing. Venkata Narasareddy and Gadi, Anil Lokesh and Kalisetty, Srinivas.
Annapareddy, V. N. (2022). Integrating AI, Machine Learning, and Cloud Computing to Drive Innovation in Renewable Energy Systems and Education Technology Solutions. Available at SSRN 5240116.
Komaragiri, V. B. (2022). Expanding Telecom Network Range using Intelligent Routing and Cloud-Enabled Infrastructure. International Journal of Scientific Research and Modern Technology, 120–137. https://doi.org/10.38124/ijsrmt.v1i12.490
Vamsee Pamisetty. (2020). Optimizing Tax Compliance and Fraud Prevention through Intelligent Systems: The Role of Technology in Public Finance Innovation. International Journal on Recent and Innovation Trends in Computing and Communication, 8(12), 111–127. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/11582
Paleti, S. (2023). AI-Driven Innovations in Banking: Enhancing Risk Compliance through Advanced Data Engineering. Available at SSRN 5244840.
Srinivasa Rao Challa,. (2022). Cloud-Powered Financial Intelligence: Integrating AI and Big Data for Smarter Wealth Management Solutions. Mathematical Statistician and Engineering Applications, 71(4), 16842–16862. Retrieved from https://philstat.org/index.php/MSEA/article/view/2977
Srinivasa Rao Challa,. (2022). Cloud-Powered Financial Intelligence: Integrating AI and Big Data for Smarter Wealth Management Solutions. Mathematical Statistician and Engineering Applications, 71(4), 16842–16862. Retrieved from https://philstat.org/index.php/MSEA/article/view/2977
Someshwar Mashetty. (2020). Affordable Housing Through Smart Mortgage Financing: Technology, Analytics, And Innovation. International Journal on Recent and Innovation Trends in Computing and Communication, 8(12), 99–110. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/11581
Singireddy, S. (2023). Reinforcement Learning Approaches for Pricing Condo Insurance Policies. American Journal of Analytics and Artificial Intelligence (ajaai) with ISSN 3067-283X, 1(1).
Transforming Renewable Energy and Educational Technologies Through AI, Machine Learning, Big Data Analytics, and Cloud-Based IT Integrations. (2021). International Journal of Engineering and Computer Science, 10(12), 25572-25585. https://doi.org/10.18535/ijecs.v10i12.4665
Chava, K., Chakilam, C., Suura, S. R., & Recharla, M. (2021). Advancing Healthcare Innovation in 2021: Integrating AI, Digital Health Technologies, and Precision Medicine for Improved Patient Outcomes. Global Journal of Medical Case Reports, 1(1), 29-41.
Raviteja Meda. (2021). Machine Learning-Based Color Recommendation Engines for Enhanced Customer Personalization. Journal of International Crisis and Risk Communication Research, 124–140. Retrieved from https://jicrcr.com/index.php/jicrcr/article/view/3018
Nandan, B. P., & Chitta, S. (2022). Advanced Optical Proximity Correction (OPC) Techniques in Computational Lithography: Addressing the Challenges of Pattern Fidelity and Edge Placement Error. Global Journal of Medical Case Reports, 2(1), 58-75.
Phanish Lakkarasu. (2022). AI-Driven Data Engineering: Automating Data Quality, Lineage, And Transformation In Cloud-Scale Platforms. Migration Letters, 19(S8), 2046–2068. Retrieved from https://migrationletters.com/index.php/ml/article/view/11875
Kaulwar, P. K. (2022). Data-Engineered Intelligence: An AI-Driven Framework for Scalable and Compliant Tax Consulting Ecosystems. Kurdish Studies, 10 (2), 774–788.
Malempati, M. (2022). Transforming Payment Ecosystems Through The Synergy Of Artificial Intelligence, Big Data Technologies, And Predictive Financial Modeling. Big Data Technologies, And Predictive Financial Modeling (November 07, 2022).
Recharla, M., & Chitta, S. (2022). Cloud-Based Data Integration and Machine Learning Applications in Biopharmaceutical Supply Chain Optimization.
Lahari Pandiri. (2022). Advanced Umbrella Insurance Risk Aggregation Using Machine Learning. Migration Letters, 19(S8), 2069–2083. Retrieved from https://migrationletters.com/index.php/ml/article/view/11881
Chava, K. (2020). Machine Learning in Modern Healthcare: Leveraging Big Data for Early Disease Detection and Patient Monitoring. International Journal of Science and Research (IJSR), 9(12), 1899–1910. https://doi.org/10.21275/sr201212164722
Data-Driven Strategies for Optimizing Customer Journeys Across Telecom and Healthcare Industries. (2021). International Journal of Engineering and Computer Science, 10(12), 25552-25571. https://doi.org/10.18535/ijecs.v10i12.4662
Dwaraka Nath Kummari,. (2022). Machine Learning Approaches to Real-Time Quality Control in Automotive Assembly Lines. Mathematical Statistician and Engineering Applications, 71(4), 16801–16820. Retrieved from https://philstat.org/index.php/MSEA/article/view/2972
Chaitran Chakilam. (2022). AI-Driven Insights In Disease Prediction And Prevention: The Role Of Cloud Computing In Scalable Healthcare Delivery. Migration Letters, 19(S8), 2105–2123. Retrieved from https://migrationletters.com/index.php/ml/article/view/11883
Adusupalli, B. (2023). DevOps-Enabled Tax Intelligence: A Scalable Architecture for Real-Time Compliance in Insurance Advisory. Journal for Reattach Therapy and Development Diversities. Green Publication. https://doi. org/10.53555/jrtdd. v6i10s (2), 358.
Pamisetty, A. (2023). Cloud-Driven Transformation Of Banking Supply Chain Analytics Using Big Data Frameworks. Available at SSRN 5237927.
Gadi, A. L. (2021). The Future of Automotive Mobility: Integrating Cloud-Based Connected Services for Sustainable and Autonomous Transportation. International Journal on Recent and Innovation Trends in Computing and Communication, 9(12), 179-187.
Pandiri, L., & Chitta, S. (2022). Leveraging AI and Big Data for Real-Time Risk Profiling and Claims Processing: A Case Study on Usage-Based Auto Insurance. Kurdish Studies. https://doi.org/10.53555/ks.v10i2.3760
Innovations in Spinal Muscular Atrophy: From Gene Therapy to Disease-Modifying Treatments. (2021). International Journal of Engineering and Computer Science, 10(12), 25531-25551. https://doi.org/10.18535/ijecs.v10i12.4659
Adusupalli, B., Singireddy, S., Sriram, H. K., Kaulwar, P. K., & Malempati, M. (2021). Revolutionizing Risk Assessment and Financial Ecosystems with Smart Automation, Secure Digital Solutions, and Advanced Analytical Frameworks. Universal Journal of Finance and Economics, 1(1), 101-122.
Operationalizing Intelligence: A Unified Approach to MLOps and Scalable AI Workflows in Hybrid Cloud Environments. (2022). International Journal of Engineering and Computer Science, 11(12), 25691-25710. https://doi.org/10.18535/ijecs.v11i12.4743
Data Engineering Architectures for Real-Time Quality Monitoring in Paint Production Lines. (2020). International Journal of Engineering and Computer Science, 9(12), 25289-25303. https://doi.org/10.18535/ijecs.v9i12.4587
Rao Suura, S. (2021). Personalized Health Care Decisions Powered By Big Data And Generative Artificial Intelligence In Genomic Diagnostics. Journal of Survey in Fisheries Sciences. https://doi.org/10.53555/sfs.v7i3.3558
Kannan, S., & Saradhi, K. S. Generative AI in Technical Support Systems: Enhancing Problem Resolution Efficiency Through AIDriven Learning and Adaptation Models.
Kurdish Studies. (n.d.). Green Publication. https://doi.org/10.53555/ks.v10i2.3785
Srinivasa Rao Challa,. (2022). Cloud-Powered Financial Intelligence: Integrating AI and Big Data for Smarter Wealth Management Solutions. Mathematical Statistician and Engineering Applications, 71(4), 16842–16862. Retrieved from https://www.philstat.org/index.php/MSEA/article/view/2977
Paleti, S. (2022). The Role of Artificial Intelligence in Strengthening Risk Compliance and Driving Financial Innovation in Banking. International Journal of Science and Research (IJSR), 11(12), 1424–1440. https://doi.org/10.21275/sr22123165037
Kommaragiri, V. B., Gadi, A. L., Kannan, S., & Preethish Nanan, B. (2021). Advanced Computational Technologies in Vehicle Production, Digital Connectivity, and Sustainable Transportation: Innovations in Intelligent Systems, Eco-Friendly Manufacturing, and Financial Optimization.
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