Relevant bibliographies by topics / Data-driven solutions

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Data-driven solutions'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Data-driven solutions"

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Megha, Megha, Rananjay Parth Ghai, Tisha Gandhi, and Rajveer Singh. "AI-Driven Diagnostics: Bridging the Gap Between Data and Healthcare Solutions." International Journal of Research Publication and Reviews 6, sp5 (2025): 88–93. https://doi.org/10.55248/gengpi.6.sp525.1912.

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Coleman, Peter T. "Data-driven solutions to U.S. polarization." Science 371, no. 6526 (2021): 245.1–245. http://dx.doi.org/10.1126/science.abg1730.

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Sasmal, Shubhodip. "Data Warehousing Revolution: AI-driven Solutions." INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING & APPLIED SCIENCES 12, no. 1 (2024): 01–06. http://dx.doi.org/10.55083/irjeas.2024.v12i01001.

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The contemporary landscape of data warehousing is undergoing a revolutionary transformation propelled by the integration of Artificial Intelligence (AI). This paper explores the intersection of AI and data warehousing, unraveling the dynamics that fuel this revolution and examining the profound implications for businesses and data management practices. The traditional paradigm of data warehousing has relied on structured data and predefined schemas, limiting its adaptability to the dynamic nature of modern datasets. The advent of AI injects a new dimension, enabling data warehouses to evolve i
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Chowdhery, Syed Azad, and Marco Bertoni. "Data-driven value assessment of packaging solutions." IFAC-PapersOnLine 51, no. 11 (2018): 1119–24. http://dx.doi.org/10.1016/j.ifacol.2018.08.452.

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Joseph, Bellal, Letitia Bible, and Kamil Hanna. "Developing Data-Driven Solutions to Firearm Violence." Current Trauma Reports 6, no. 1 (2020): 44–50. http://dx.doi.org/10.1007/s40719-020-00185-8.

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Chintala, Suman. "Harnessing AI and BI for Smart Cities: Transforming Urban Life with Data Driven Solutions." International Journal of Science and Research (IJSR) 13, no. 9 (2024): 337–42. http://dx.doi.org/10.21275/sr24902235715.

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Researcher. "AUTONOMOUS DATA HEALING: AI-DRIVEN SOLUTIONS FOR ENTERPRISE DATA INTEGRITY." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 20–32. https://doi.org/10.5281/zenodo.14044978.

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This comprehensive article explores the emerging field of autonomous data healing systems, which leverage advanced AI techniques to address the growing challenges of data quality and integrity in the era of big data. The article examines the system architecture, self-optimization capabilities, and real-world applications of these AI-driven solutions across various industries. Through detailed case studies and aggregate results from multiple implementations, the research demonstrates significant improvements in data quality, operational efficiency, and cost savings achieved by autonomous data h
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Facklam, Ferdinand, and Felipe Pecegueiro do Amaral Curado. "Data driven parametric design." PARC Pesquisa em Arquitetura e Construção 2, no. 7 (2011): 49. http://dx.doi.org/10.20396/parc.v2i7.8634582.

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The focus of this paper is that we want to give a brief introduction about the idea of Parametric Design (PD) and the use of data to inform the design process. The digital fabrication is not covered in detail in this document. In the case study “Live Building” explains a sensory process. The project shows how to collect data, transformed and transported into a shape. Innovation is not only the approach of the draft, but the systematic procedure and the resulting diversity of solutions. The search for the geometric shape and the key to the concept will be answered in detail.
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Pérez-Paredes, Pascual, and Jose M. Alcaraz-Calero. "Developing annotation solutions for online Data Driven Learning." ReCALL 21, no. 1 (2009): 55–75. http://dx.doi.org/10.1017/s0958344009000093.

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AbstractAlthough annotation is a widely-researched topic in Corpus Linguistics (CL), its potential role in Data Driven Learning (DDL) has not been addressed in depth by Foreign Language Teaching (FLT) practitioners. Furthermore, most of the research in the use of DDL methods pays little attention to annotation in the design and implementation of corpus-based/driven language teaching.In this paper, we set out to examine the process of development of SACODEYL Annotator, an application that seeks to assist SACODEYL system users in annotating XML multilingual corpora. First, we discuss the role of
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Lavanya Jacintha Victor. "Fleet telematics: Transforming transportation through data-driven solutions." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 3970–76. https://doi.org/10.30574/wjarr.2025.26.1.1568.

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This article presents a comprehensive overview of fleet telematics technology and its transformative impact on transportation management across various sectors. Fleet telematics integrates GPS tracking, onboard diagnostics, sensor technology, and wireless communication systems to create an interconnected data ecosystem that revolutionizes vehicle and driver management. The article explores the core technological infrastructure powering these systems, including their location tracking capabilities, diagnostic interfaces, and data transmission mechanisms. It examines how telematics enables opera
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Dissertations / Theses on the topic "Data-driven solutions"

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FIORINI, SAMUELE. "Challenges in biomedical data science: data-driven solutions to clinical questions." Doctoral thesis, Università degli studi di Genova, 2018. http://hdl.handle.net/11567/930182.

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Data are influencing every aspect of our lives, from our work activities, to our spare time and even to our health. In this regard, medical diagnosis and treatments are often supported by quantitative measures and observations, such as laboratory tests, medical imaging or genetic analysis. In medicine, as well as in several other scientific domains, the amount of data involved in each decision-making process has become overwhelming. The complexity of the phenomena under investigation and the scale of modern data collections has long superseded human analysis and insights potential.
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ILARDI, DAVIDE. "Data-driven solutions to enhance planning, operation and design tools in Industry 4.0 context." Doctoral thesis, Università degli studi di Genova, 2023. https://hdl.handle.net/11567/1104513.

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This thesis proposes three different data-driven solutions to be combined to state-of-the-art solvers and tools in order to primarily enhance their computational performances. The problem of efficiently designing the open sea floating platforms on which wind turbines can be mount on will be tackled, as well as the tuning of a data-driven engine's monitoring tool for maritime transportation. Finally, the activities of SAT and ASP solvers will be thoroughly studied and a deep learning architecture will be proposed to enhance the heuristics-based solving approach adopted by such software. The cov
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Jonsson, Hanna, and Luyolo Mazomba. "Revenue Generation in Data-driven Healthcare : An exploratory study of how big data solutions can be integrated into the Swedish healthcare system." Thesis, Umeå universitet, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-161384.

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Abstract The purpose of this study is to investigate how big data solutions in the Swedish healthcare system can generate a revenue. As technology continues to evolve, the use of big data is beginning to transform processes in many different industries, making them more efficient and effective. The opportunities presented by big data have been researched to a large extent in commercial fields, however, research in the use of big data in healthcare is scarce and this is particularly true in the case of Sweden. Furthermore, there is a lack in research that explores the interface between big data
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Mainey, Alexander J. "The mechanisms of moisture driven backout of nailplate connections. Solutions for outdoor environments and numerical modelling and predictions of moisture driven backout given climatic data." Thesis, Griffith University, 2021. http://hdl.handle.net/10072/404468.

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Nailplated timber trusses, manufactured from timber members connected by nailplates, are widely used in the domestic and international housing market as part of the roofing and flooring systems. The extensive use of these structural elements is driven primarily by their cost efficiency, resulting from an efficient manufacturing process, and their structural efficiency. The use of such trusses however is typically limited to protected (or indoor) environments due to a phenomenon called “nailplate backout”. Nailplate backout is where the steel nailplate, used to connect two timber members togeth
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Beridzishvili, Jumber. "When the state cannot deal with online content : Reviewing user-driven solutions that counter political disinformation on Facebook." Thesis, Malmö universitet, Malmö högskola, Institutionen för globala politiska studier (GPS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-18502.

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Online disinformation damage on the world’s democracy has been critical. Yet, states fail to handle online content harms. Due to exception from legal liability for hosted content, Facebook, used by a third of the world population, operates ‘duty-free’ along with other social media companies.Concerned with solutions, this has given rise to the idea in studies that social resistance could be one of the most effective ways for combating disinformation. However, how exactly do we resist, is an unsettled subject. Are there any socially-driven processes against disinformation happening out there?Thi
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Fahlaoui, Tarik. "Réduction de modèles et apprentissage de solutions spatio-temporelles paramétrées à partir de données : application à des couplages EDP-EDO." Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2535.

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On s’intéresse dans cette thèse à l’apprentissage d’un modèle réduit précis et stable, à partir de données correspondant à la solution d’une équation aux dérivées partielles (EDP), et générées par un solveur haute fidélité (HF). Pour ce faire, on utilise la méthode Dynamic Mode Decomposition (DMD) ainsi que la méthode de réduction Proper Orthogonal Decomposition (POD). Le modèle réduit appris est facilement interprétable, et par une analyse spectrale a posteriori de ce modèle on peut détecter les anomalies lors de la phase d’apprentissage. Les extensions au cas de couplage EDP-EDO, ainsi qu’au
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Pereira, Rosangela de Fátima. "A data-driven solution for root cause analysis in cloud computing environments." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-03032017-082237/.

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The failure analysis and resolution in cloud-computing environments are a a highly important issue, being their primary motivation the mitigation of the impact of such failures on applications hosted in these environments. Although there are advances in the case of immediate detection of failures, there is a lack of research in root cause analysis of failures in cloud computing. In this process, failures are tracked to analyze their causal factor. This practice allows cloud operators to act on a more effective process in preventing failures, resulting in the number of recurring failures reduct
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Orozco, Gabriel Mario. "Artificial intelligence opportunities and an end-do-end data-driven solution for predicting hardware failures." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104304.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT.<br>Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016. In conjunction with the Leaders for Global Operations Program at MIT.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 93-96).<br>Dell's target to provide quality products based on reliability, security, and manageability, has driven Dell Inc. to become one of the largest PC supp
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Rahaman, Khan Md Atiqur. "Feasibility Analysis of AI based Wearable Data-driven Solution for Safety and Health in Sweden." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239442.

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This thesis investigates the prospects of AI and IoT based wearable solution in order to enhance the occupational safety and health. Thus this study contributes to find the probable use cases that can be suitable for such a technology. Later also investigation has been done to figure out how appropriate the Swedish market will be to target on. At the beginning of the thesis, it includes an overall scenario about the occupational safety/health globally as well as in Sweden. Later to improve the workplace injuries, how AI based wearable solution can be handy has been visualized. The theoretical
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de, Silva Timothy H. "Are Volatility Expectations in Different Countries Interdependent? A Data-Driven Solution to Structural VAR Identification for Implied Equity Volatility Indices." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/cmc_theses/1772.

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Over the past couple of decades, the number of volatility indices has increased rapidly. These indices seek to represent the market’s expectation of realized volatility over the coming month, based on the prices of options traded on each underlying equity index. Although the dynamics of realized volatility spillover have been studied extensively, very few studies exists that examine the spillover between these volatility indices. By using DAG-based structural vector autoregression, this paper provides evidence that implied volatility spillover differs from realized volatility spillover. Throug
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Books on the topic "Data-driven solutions"

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Chand, Mahesh, and David Talbot. Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7.

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Biran, Or. Data-Driven Solutions to Bottlenecks in Natural Language Generation. [publisher not identified], 2016.

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Safdar, Mutahar, Guy Lamouche, Padma Polash Paul, Gentry Wood, and Yaoyao Fiona Zhao. Engineering of Additive Manufacturing Features for Data-Driven Solutions. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32154-2.

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Renato, Del Gaudio, ed. WebSphere sensor solutions: Driving business processes with sensor data in an event-driven SOA. International Technical Support Organization, 2008.

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Wang, Yinhai, and Ziqiang Zeng. Data-Driven Solutions to Transportation Problems. Elsevier, 2018.

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Data-Driven Solutions to Transportation Problems. Elsevier, 2019. http://dx.doi.org/10.1016/c2018-0-01303-1.

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Wang, Yinhai, and Ziqiang Zeng. Data-Driven Solutions to Transportation Problems. Elsevier, 2018.

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David, Talbot. Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003.

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Data Science for Fundraising: Build Data-Driven Solutions Using R. DATA INSIGHT PARTNERS LLC, 2018.

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Ransom, Kimberly. Viable Education Solutions Data Driven Instruction Teacher Manual. Viable Education Solutions, LLC, 2018.

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Book chapters on the topic "Data-driven solutions"

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Chand, Mahesh, and David Talbot. "Data Binding and Windows Forms Data-Bound Controls." In Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7_7.

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Chand, Mahesh, and David Talbot. "Constraints and Data Relations." In Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7_8.

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Chand, Mahesh, and David Talbot. "Developing a Custom Data Provider." In Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7_13.

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Chand, Mahesh, and David Talbot. "Working with the ODBC.NET Data Provider." In Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7_10.

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Chand, Mahesh, and David Talbot. "ASP.NET Server Controls and Data Binding." In Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7_16.

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Chand, Mahesh, and David Talbot. "Data Components in Visual Studio .NET." In Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7_2.

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Chand, Mahesh, and David Talbot. "Oracle, SQLXML, and Other .NET Data Providers." In Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7_12.

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Chand, Mahesh, and David Talbot. "Mapped Objects: Performance Considerations and Data Binding." In Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7_19.

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Chand, Mahesh, and David Talbot. "ADO.NET Basics." In Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7_1.

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Chand, Mahesh, and David Talbot. "Stored Procedures and Views." In Applied ADO.NET: Building Data-Driven Solutions. Apress, 2003. http://dx.doi.org/10.1007/978-1-4302-0759-7_11.

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Conference papers on the topic "Data-driven solutions"

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Sundararajan, S., Ningaraj Belagalla, Omar Isam Al Mrayat, Muhammad Saqib, Shubham Malhotra, and Jayabharathi P. "Data-Driven Approaches for Crop Yield Prediction Using Machine Learning Techniques." In 2025 International Conference on Frontier Technologies and Solutions (ICFTS). IEEE, 2025. https://doi.org/10.1109/icfts62006.2025.11032031.

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V, Preethi, Archana BS, George Fernandez I, Vaishnavi P, and Dhathri K. "Optimizing Diabetic Retinopathy Screening with Machine Learning: A Data-Driven Approach." In 2025 International Conference on Frontier Technologies and Solutions (ICFTS). IEEE, 2025. https://doi.org/10.1109/icfts62006.2025.11031668.

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Yan, Yunhao, and Henry Lam. "Data-Driven Solutions and Uncertainty Quantification for Multistage Stochastic Optimization." In 2024 Winter Simulation Conference (WSC). IEEE, 2024. https://doi.org/10.1109/wsc63780.2024.10838792.

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Yu, Dasong, Sunghyun Park, and Aekyung Moon. "Transforming Crop Drying Operations Through IoT and Data-Driven Solutions." In 2024 15th International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2024. https://doi.org/10.1109/ictc62082.2024.10826751.

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Acharla, Hanish, and Vani Kandasamy. "Data-Driven Solutions in Agriculture: Machine Learning for Apple Disease Classification." In 2025 IEEE Conference on Technologies for Sustainability (SusTech). IEEE, 2025. https://doi.org/10.1109/sustech63138.2025.11025703.

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Yogi, Kottala Sri, Suganthi N, Dankan Gowda V, Attru HanumanthaRao, Ved Srinivas, and R. Kavitha. "Big Data-Driven Strategies for Growth in 3PL with Advanced IT Solutions." In 2024 1st International Conference on Advanced Computing and Emerging Technologies (ACET). IEEE, 2024. http://dx.doi.org/10.1109/acet61898.2024.10730276.

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Tuteja, Gaurav, Shalli Rani, Ankita Sharma, and Seerat Singla. "Integrating Wireless Sensor Networks with IoT for Enhanced Data-Driven Industry Solutions*." In 2024 3rd International Conference for Advancement in Technology (ICONAT). IEEE, 2024. https://doi.org/10.1109/iconat61936.2024.10774682.

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Pandey, Satyam, Samarth Sasane, and Subho Paul. "Data-Driven Power Flow Solutions for Distribution Networks with Solar Energy Resources." In 2025 3rd IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA). IEEE, 2025. https://doi.org/10.1109/icidea64800.2025.10963003.

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Sajana, K. P., Seema Balan, Jaya Jose, and Kalpana B. "AI-Powered Risk Management Solutions in the Banking Sector: A Data-Driven Approach." In 2024 International Conference on Integration of Emerging Technologies for the Digital World (ICIETDW). IEEE, 2024. https://doi.org/10.1109/icietdw61607.2024.10941397.

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Sareen, Somi, Nazish Abid, and Mazharul Haque. "Data-Driven Solutions for Revitalizing Historical Urban Areas: Case of Lado Sarai Delhi." In 2024 2nd International Conference on Sustaining Heritage: Embracing Technological Advancements (ICSH). IEEE, 2024. https://doi.org/10.1109/icsh62408.2024.10779659.

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Reports on the topic "Data-driven solutions"

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Ojha, Anirudh, and Sreenivasa Madenahally. The Power of Data for Impact Part I: A study of data-driven practices & solutions in the social sector. Indian School of Development Management, 2024. http://dx.doi.org/10.58178/242.1032.

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Pettit, Chris, and D. Wilson. A physics-informed neural network for sound propagation in the atmospheric boundary layer. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41034.

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We describe what we believe is the first effort to develop a physics-informed neural network (PINN) to predict sound propagation through the atmospheric boundary layer. PINN is a recent innovation in the application of deep learning to simulate physics. The motivation is to combine the strengths of data-driven models and physics models, thereby producing a regularized surrogate model using less data than a purely data-driven model. In a PINN, the data-driven loss function is augmented with penalty terms for deviations from the underlying physics, e.g., a governing equation or a boundary condit
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Gracias, Jose Sanchez, Gregory Parnell, Eric Specking, Edward Pohl, and Randy Buchanan. Smart cities–a structured literature review. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49695.

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Smart cities are rapidly evolving concept-transforming urban developments. They use advanced technologies and data analytics to improve quality of life, increase efficiency of infrastructure and services, and promote sustainable economic growth. They integrate multiple domains to create an interconnected and intelligent urban environment. The implementation of smart city solutions in international contexts was also analyzed and proposes strategies to overcome implementation challenges. The integration of technology and data-driven solutions has potential to revolutionize urban living by provid
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Pasupuleti, Murali Krishna. Securing AI-driven Infrastructure: Advanced Cybersecurity Frameworks for Cloud and Edge Computing Environments. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv225.

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Abstract: The rapid adoption of artificial intelligence (AI) in cloud and edge computing environments has transformed industries by enabling large-scale automation, real-time analytics, and intelligent decision-making. However, the increasing reliance on AI-powered infrastructures introduces significant cybersecurity challenges, including adversarial attacks, data privacy risks, and vulnerabilities in AI model supply chains. This research explores advanced cybersecurity frameworks tailored to protect AI-driven cloud and edge computing environments. It investigates AI-specific security threats,
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Hillier, Lucy. People-driven Solutions: An Introduction to Facilitating Deep Participation for Systemic Change Through Systemic Action Research Programming. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/clarissa.2024.040.

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CLARISSA evidence builds upon an existing body of evidence (Burns, 2014; Howard et al., 2021) around deeply participatory processes, where children and adults are given significant decision-making power, and supported to collect data, analyse, and take action in order to shift system dynamics to improve their lives. Critical factors within a process of whole systems change are facilitating child- and people-driven evidence generation; participatory learning and action processes around underlying system dynamics and how they drive a problem; and a high level of collective ownership by participa
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Goreczky, Péter. Southeast Asia in the US-China Tech Rivalry II. : Digital Infrastructure Development and Data Governance. Külügyi és Külgazdasági Intézet, 2022. http://dx.doi.org/10.47683/kkielemzesek.ke-2022.17.

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The economic development of Southeast Asia is increasingly dependent on establishing a cutting-edge digital infrastructure. In some segments of digital infrastructure, for example, data centre operations, the presence and strategy of the two nations’ tech companies in Southeast Asia has mainly been driven by market considerations. As for smart and safe city solutions, submarine internet cables, and 5G infrastructure, investment projects are linked to security concerns to a greater extent and are increasingly affected by the tech rivalry of the two great powers. The maze of geopolitical and bus
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bin Ahsan, Wahid. The EDIT UX Framework: A User-Centered Approach to Effective Product Redesign. Userhub, 2024. http://dx.doi.org/10.58947/zxkd-kldq.

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In the dynamic domain of web and mobile application development, the imperative to continuously evolve and enhance user experience is paramount. The EDIT UX Framework offers a robust, systematic approach to redesign, aimed at significantly enhancing user engagement, accessibility, and business performance. This framework is delineated into four pivotal stages: (1) Evaluation, which establishes a solid analytical foundation by synthesizing metrics analysis, heuristic evaluations, accessibility assessments, and user insights; (2) Design, where ideation and prototyping are driven by user-centric
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Rose and Luo. L52069 Guided Wave Sizing and Discrimination for SCC Magnetostriction ILI Inspection. Pipeline Research Council International, Inc. (PRCI), 2003. http://dx.doi.org/10.55274/r0011179.

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With the goal to be able to inspect a large area of the pipe from a single sensor position, hence the development of what we call guided wave inspection. From one point on the circumference of the pipe, it is therefore proposed to inspect the entire circumferential area of the pipe. This approach leads to inspection efficiency.� Experimental techniques cannot be developed on a trial and error basis. The purpose of this work is therefore to develop a guided wave propagation model and subsequent numerical solutions to assist in the �theoretically driven� sensor design and data acquisition system
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9

Ripoll, Santiago, Jennifer Cole, Olivia Tulloch, Megan Schmidt-Sane, and Tabitha Hrynick. SSHAP: 6 Ways to Incorporate Social Context and Trust in Infodemic Management. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/sshap.2021.001.

Full text
Abstract:
Information epidemiology or infodemiology is the study of infodemics - defined by the World Health Organization as an overabundance of information, some accurate and some not, that occurs during a pandemic or other significant event that may impact public health. Infodemic management is the practice of infodemiology and may sit within the risk communication and community engagement (RCCE) pillar of a public health response. However, it is relevant to all aspects of preparedness and response, including the development and evaluation of interventions. Social scientists have much to contribute to
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10

Ripoll, Santiago, Jennifer Cole, Olivia Tulloch, Megan Schmidt-Sane, and Tabitha Hrynick. SSHAP: 6 Ways to Incorporate Social Context and Trust in Infodemic Management. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/sshap.2021.001.

Full text
Abstract:
Information epidemiology or infodemiology is the study of infodemics - defined by the World Health Organization as an overabundance of information, some accurate and some not, that occurs during a pandemic or other significant event that may impact public health. Infodemic management is the practice of infodemiology and may sit within the risk communication and community engagement (RCCE) pillar of a public health response. However, it is relevant to all aspects of preparedness and response, including the development and evaluation of interventions. Social scientists have much to contribute to
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