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Showing 241 - 260 results of 53,535 for search '((unstructures OR unstructures) OR (structured OR (structures OR structure))) data', query time: 0.48s Refine Results
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    Data-driven assessment of corrosion in reinforced concrete structures embedded in clay dominated soils by Shahbaz Ahmad, Siraj Ahmad, Sabih Akhtar, Faraz Ahmad, Mujib Ahmad Ansari

    Published 2025-07-01
    “…Abstract The integration of Artificial Intelligence techniques, particularly Artificial Neural Networks (ANNs), has transformed predictive modeling in structural and durability engineering. This study investigates the use of ANN-based approaches to predict the corrosion rates of mild steel reinforcement embedded in cementitious composites subjected to clay-dominated soil environments. …”
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  3. 243

    Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data by Anna Katya Opel, Elizabeth Chisolm Matthews

    Published 2025-03-01
    “…The approach is based on component‐level, depth–damage curves derived from experimental analysis. Structures with standard residential construction materials typical to the south‐eastern United States were built and incrementally flooded for short durations. …”
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  4. 244

    Delineation of Subsurface Structures Using Gravity Data of the Shallow Offshore, Lamu Basin, Kenya by Dennis Ombati, John Githiri, Maurice K'Orowe, Erick Nyakundi

    Published 2022-01-01
    “…Gravity interpretation techniques such as spectral analysis and first horizontal derivative were applied to the reduced gravity data to delineate and model structures to minimize the high investment risks. …”
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    UPN-GCN: Update Positive-Negative Graph Convolution Neural Network in Non-Euclidean Structured Data by Lijun Fan, Shichao Yi, Wenrui Guan, Pingxin Wang

    Published 2025-01-01
    “…Graph Convolutional neural Networks (GCNs) demonstrate exceptional effectiveness when working with data that have non-Euclidean structures. In recent years, numerous researchers have utilized GCNs for data with Euclidean structures. such as image data and language data, and achieved good results, expanding the application scope of GCN. …”
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  13. 253

    T2F: a domain-agnostic multi-agent framework for unstructured text to factuality evaluation items generation by Xin Tong, Jingya Wang, Yasen Aizezi, Hanming Zhai, Bo Jin

    Published 2025-05-01
    “…The generated data effectively assess LLMs’ factuality accuracy, highlighting T2F’s capability as a scalable and domain-agnostic factuality evaluation framework.…”
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  14. 254

    Natural Language Processing framework for identifying abdominal aortic aneurysm repairs using unstructured electronic health records by Daniel C. Thompson, Reza Mofidi

    Published 2025-07-01
    “…Abstract Patient identification for national registries often relies upon clinician recognition of cases or retrospective searches using potentially inaccurate clinical codes, leading to incomplete data capture and inefficiencies. Natural Language Processing (NLP) offers a promising solution by automating analysis of electronic health records (EHRs). …”
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  15. 255

    Structure-Based Alignment and Consensus Secondary Structures for Three HIV-Related RNA Genomes. by Christopher A Lavender, Robert J Gorelick, Kevin M Weeks

    Published 2015-05-01
    “…Consensus secondary structures were constructed for strongly correlated regions by taking into account both SHAPE probing structural data and nucleotide covariation information from structure-based alignments. …”
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  16. 256

    Practical approach to structural assessment of reinforcement in existing concrete structures affected by corrosion or fire by Van den Buverie Nele, Van Mol Noah, Vasseur Lander, Soetens Tim, Van Belleghem Bjorn

    Published 2025-01-01
    “…Many buildings and structures of (reinforced) concrete reach ages of 50-100 years, and over the lifespan, they can change their function. …”
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  17. 257

    Investigation of Soil-Structure Interaction for Design of Reinforced Concrete Structures under Earthquake Load by Saffet Kılıçer, Korhan Özgan

    Published 2018-01-01
    “…For this reason, structures should be modeled accurately and realistically. …”
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    Quantifying Tree Structural Change in an African Savanna by Utilizing Multi-Temporal TLS Data by Tasiyiwa Priscilla Muumbe, Jussi Baade, Pasi Raumonen, Corli Coetsee, Jenia Singh, Christiane Schmullius

    Published 2025-02-01
    “…Structural changes in savanna trees vary spatially and temporally because of both biotic and abiotic drivers, as well as the complex interactions between them. …”
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