Relevant bibliographies by topics / Elemental graph data model

Contents

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

Academic literature on the topic 'Elemental graph data model'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Elemental graph data model"

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Oganesyants, Lev, Alexandr Panasyuk, Elena Kuzmina, Dmitriy Sviridov, and Alexandr Ilyin. "Analyzing Geographical Origin of Grapes and Wines of Russia." BIO Web of Conferences 39 (2021): 06003. http://dx.doi.org/10.1051/bioconf/20213906003.

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In connection with the growing consumer’s interest to Russian wines with controlled place of origin PGI and PDO, the most pressing issue is the method of their identification. One of the most effective ways to confirm the wine's place of origin in world practice is a comprehensive research of the elemental profile and isotopic characteristics of “light” elements using the methods of statistical analysis. We have selected 32 samples of fresh grapes from various wine regions of Russia (Krasnodar Territory, Republic of Crimea, Republic of Dagestan). The grape must obtained from them was fermented
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Osadchuk, O. V., V. V. Martyniuk, M. V. Evseeva, and I. O. Osadchuk. "FREQUENCY TRANSDUCER OF MAGNETIC FIELD INDUCTION BASED ON HETEROMETALLIC COMPLEX COMPOUND." Visnyk Universytetu “Ukraina”, no. 1 (28) 2020 (2020): 56–64. http://dx.doi.org/10.36994/2707-4110-2020-1-28-05.

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The possibilities of using nanocomposite material µ-methoxo (copper (II), bismuth (III)) acetylacetonate (I), the following composition: Cu3Bi(AA)4(OCH3)5, де HAA = H3C–C(O)–CH2–C(O)–CH3, as a magnetoresistive sensitive element, in a frequency transducer of a magnetic field. In order to create a suitable heterometallic complex compound, a method for its synthesis was developed. The structure, composition and physicochemical properties of the synthesized nanocomposite material were confirmed on the basis of elemental, X-ray phase analyzes, magnetochemical, IR spectroscopic and thermogravimetric
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Li, Na, Yu-Tao Liu, and Zhan Chen. "Unlocking insights: integrated text mining and interpretive structural modeling for enhanced user review analysis." PeerJ Computer Science 10 (December 23, 2024): e2541. https://doi.org/10.7717/peerj-cs.2541.

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Effective keywords are extracted from the massive milk product user review data to construct thematic terms and explore the elemental influence relationships to assist manufacturers, and e-commerce platforms in understanding user behaviour and preferences and further optimise product design and marketing strategies. By fusing two different text mining methods, term frequency-inverse document frequency (TF-IDF) and Word2vec, we explore the semantic relationships, then visualise the relevance of user reviews by drawing knowledge graphs with Neo4j, and finally, be able to explore the relationship
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Aslamiah, Aslamiah, Wahdah Refia Rafianti, Celia Cinantya, and Rizky Amelia. "Googling Model based on Interactive Multimedia for Elementary School Students." International Journal of Social Science And Human Research 05, no. 10 (2022): 4678–87. http://dx.doi.org/10.47191/ijsshr/v5-i10-37.

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This study aims to develop an interactive multimedia-based Googling learning model for elementary school students in Banjarmasin City. The research method used is Research and Development (R&D). The subject of this study was a Grade IV student at SD Surgi Mufti, Banjarmasin. Data collection techniques through questionnaires, observations, and tests. The data analysis technique used is a descriptive analysis using tables and graphs. The feasibility testing results of this interactive multimedia-based googling learning model product are categorized as feasible because the effects of media va
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Diomande, Bre Moussa, and Luc Laperrière. "AUTOMATIC LIAISON MODEL GENERATION FROM 3-D SOLID MODELS." Transactions of the Canadian Society for Mechanical Engineering 20, no. 4 (1996): 333–47. http://dx.doi.org/10.1139/tcsme-1996-0019.

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Computer Aided Assembly Planning (CAAP) is characterized by the manual generation of a liaison (or graph) model used to represent explicitly mating information among parts. This paper describes an automatic method for generating such relational information. It is based on an exhaustive and systematic surface-level analysis of the Boundary Representation (B-Rep) file of the solid modeled product. Simple mathematical tests performed on pairs of surfaces each on a different part enable the identification of mating surfaces. The system which performs this analysis also enables a visual display of
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Rukayah, Rukayah, Achmad Tolla, and Ramly Ramly. "The Development of Writing Poetry Teaching Materials Based on Audiovisual Media of Fifth Grade Elementary School in Bone Regency." Journal of Language Teaching and Research 9, no. 2 (2018): 358. http://dx.doi.org/10.17507/jltr.0902.18.

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The purpose of this research is to create the teaching material prototype which is valid, practical, and effective used in learning, especially in writing poetry of fifth grade elementary school in Bone regency. This study uses research and development method. The development model used is the Four-D models that include the definition (define), design, development (develop), and dissemination (disseminate). The design measures used in research and development (R&D) is pretest-posttest design. The data collection techniques used are observation, questionnaires, interviews, tests, and docume
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Perišić, Ana, Marko Lazić, and Ines Perišić. "Assessment of Building Air Quality in Respect of Eight Different Urban Block Designs Based on CFD Simulations." Applied Sciences 13, no. 13 (2023): 7408. http://dx.doi.org/10.3390/app13137408.

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Different urban block morphologies can greatly influence the air quality inside the buildings of the block. The model presented in this paper determines the correlation between block morphology and air quality, and outputs the indoor air quality via computational fluid dynamics (CFD) simulations. In this study, stagnant air was assumed to have a velocity lower than 0.15 m/s and considered to be low-quality air in the context of human health. The geometry of the urban blocks was simplified based on real-life buildings. Doors and windows were not 3D-modeled, and all the vertical surfaces of the
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Aslamiah, Refia Rafianti Wahdah, Cinantya Celia, and Amelia Rizky. "Googling Model based on Interactive Multimedia for Elementary School Students." International Journal of Social Science And Human Research 05, no. 10 (2022): 4678–87. https://doi.org/10.5281/zenodo.7256246.

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This study aims to develop an interactive multimedia-based Googling learning model for elementary school students in Banjarmasin City. The research method used is Research and Development (R&D). The subject of this study was a Grade IV student at SD Surgi Mufti, Banjarmasin. Data collection techniques through questionnaires, observations, and tests. The data analysis technique used is a descriptive analysis using tables and graphs. The feasibility testing results of this interactive multimedia-based googling learning model product are categorized as feasible because the effects of media va
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Kang, Mengjia, Jose A. Alvarado-Guzman, Luke V. Rasmussen, and Justin B. Starren. "Evolution of a Graph Model for the OMOP Common Data Model." Applied Clinical Informatics 15, no. 05 (2024): 1056–65. https://doi.org/10.1055/s-0044-1791487.

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Abstract Objective Graph databases for electronic health record (EHR) data have become a useful tool for clinical research in recent years, but there is a lack of published methods to transform relational databases to a graph database schema. We developed a graph model for the Observational Medical Outcomes Partnership (OMOP) common data model (CDM) that can be reused across research institutions. Methods We created and evaluated four models, representing two different strategies, for converting the standardized clinical and vocabulary tables of OMOP into a property graph model within the Neo4
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Radiansyah, Jannah Fathul, Ria Safitri Baharas Vita, Sari Raihanah, and Fahlevi Reja. "PANTING Model in Improving Critical Thinking Skills of Elementary School Students." International Journal of Social Science and Human Research 07, no. 07 (2024): 5523–28. https://doi.org/10.5281/zenodo.12889764.

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The problems in this study are critical thinking skills and student learning outcomes. This is because lacking training students' critical thinking skills to solve problems. Efforts are made to overcome this problem by using the PANTING model. This study aims to describe critical thinking skills and learning outcomes of students. This research is a Class Action Research (PTK) which is carried out with 4 meetings. The subjects of this study are students of class VB SDN Telawang 3 Banjarmasin, with a total of 21 students in the second semester of the 2023/2024 school year. The type of data used
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Dissertations / Theses on the topic "Elemental graph data model"

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Kim, Pilho. "E-model event-based graph data model theory and implementation /." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29608.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Madisetti, Vijay; Committee Member: Jayant, Nikil; Committee Member: Lee, Chin-Hui; Committee Member: Ramachandran, Umakishore; Committee Member: Yalamanchili, Sudhakar. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Bergami, Giacomo <1990&gt. "A new Nested Graph Model for Data Integration." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8348/1/bergami_giacomo_tesi.pdf.

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Despite graph data gained increasing interest in several fields, no data model suitable for both querying and integrating differently structured graph and (semi)structured data has been currently conceived. The lack of operators allowing combinations of (multiple) graphs in current graph query languages (graph joins), and on graph data structure allowing neither data integration nor nested multidimensional representations (graph nesting) are a possible motivation. In order to make such data integration possible, this thesis proposes a novel model (General Semistructured data Model) allowing th
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Yang, Hong. "Modeling and Querying Graph Data." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/cs_diss/34.

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Databases are used in many applications, spanning virtually the entire range of data processing services industry. The data in many database applications can be most naturally represented in the form of a graph structure consisting of various types of nodes and edges with several properties. These graph data can be classified into four categories: social networks describing the relationships between individual person and/or groups of people (e.g. genealogy, network of coauthorship among academics, etc); information networks in which the structure of the network reflects the structure of the in
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Li, Jie. "Data integration for biological network databases MetNetDB labeled graph model and graph matching algorithm /." [Ames, Iowa : Iowa State University], 2008.

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Huang, Zan, Wingyan Chung, and Hsinchun Chen. "A Graph Model for E-Commerce Recommender Systems." Wiley Periodicals, Inc, 2004. http://hdl.handle.net/10150/105683.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>Information overload on the Web has created enormous challenges to customers selecting products for online purchases and to online businesses attempting to identify customersâ preferences efficiently. Various recommender systems employing different data representations and recommendation methods are currently used to address these challenges. In this research, we developed a graph model that provides a generic data representation and can support different recommendation methods. To demonstrate its usefulness an
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Hohman, Elizabeth Leeds. "A dynamic graph model for representing streaming text documents." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3062.

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Thesis (Ph.D.)--George Mason University, 2008.<br>Vita: p. 141. Thesis director: Edward J. Wegman. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computational Sciences and Informatics. Title from PDF t.p. (viewed July 3, 2008). Includes bibliographical references (p. 105-110). Also issued in print.
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Zichner, Thomas. "Building graph models of oncogenesis by using microRNA expression data." Thesis, University of Skövde, School of Humanities and Informatics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1167.

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<p>MicroRNAs (miRNAs) are a class of small non-coding RNAs that control gene expression by targeting mRNAs and triggering either translation repression or RNA degradation. Several groups pointed out that miRNAs play a major role in several diseases, including cancer. This is assumed since the expression level of several miRNAs differs between normal and cancerous cells. Further, it has been shown that miRNAs are involved in cell proliferation and cell death.</p><p>Because of this role it is suspected that miRNAs could serve as biomarkers to improve tumor classification, therapy selection, or p
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Körber, Julian [Verfasser], and Susanne [Akademischer Betreuer] Rässler. "Bayesian Analysis of Network Data. Model Selection and Evaluation of the Exponential Random Graph Model / Julian Körber ; Betreuer: Susanne Rässler." Bamberg : Otto-Friedrich-Universität Bamberg, 2018. http://d-nb.info/1160938849/34.

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Danielsson, Simon, and Jakob Flygare. "A Multi-Target Graph-Constrained HMM Localisation Approach using Sparse Wi-Fi Sensor Data." Thesis, KTH, Optimeringslära och systemteori, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231090.

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This thesis explored the possibilities of using a Hidden Markov Model approach for multi-target localisation in an urban environment, with observations generated from Wi-Fi sensors. The area is modelled as a network of nodes and arcs, where the arcs represent sidewalks in the area and constitutes the hidden states in the model. The output of the model is the expected amount of people at each road segment throughout the day. In addition to this, two methods for analyzing the impact of events in the area are proposed. The first method is based on a time series analysis, and the second one is bas
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Soussi, Rania. "Querying and extracting heterogeneous graphs from structured data and unstrutured content." Phd thesis, Ecole Centrale Paris, 2012. http://tel.archives-ouvertes.fr/tel-00740663.

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The present work introduces a set of solutions to extract graphs from enterprise data and facilitate the process of information search on these graphs. First of all we have defined a new graph model called the SPIDER-Graph, which models complex objects and permits to define heterogeneous graphs. Furthermore, we have developed a set of algorithms to extract the content of a database from an enterprise and to represent it in this new model. This latter representation allows us to discover relations that exist in the data but are hidden due to their poor compatibility with the classical relationa
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Books on the topic "Elemental graph data model"

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Kunii, Hideko S. Graph Data Model. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68114-4.

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Kunii, Hideko S. Graph data model and its data language. Springer-Verlag, 1990.

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Kunii, Hideko S. Graph Data Model: And Its Data Language. Springer Japan, 1990.

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C, Guptill Stephen, and Boyko Kenneth J, eds. An Enhanced digital line graph design: A feature-beased data model for digital spatial data bases that represent geographic phenomenon. Dept. of the Interior, 1990.

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Shi, Feng. Learn About Exponential Random Graph Model in R With Data From UK Faculty Dataset (2008). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526487551.

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Graph Data Model: And Its Data Language. Springer, 2011.

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Wiederhold, Gio, and Hideko S. Kunii. Graph Data Model: And Its Data Language. Springer, 2011.

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An Enhanced digital line graph design: A feature-beased data model for digital spatial data bases that represent geographic phenomenon. U.S. G.P.O., 1990.

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Spohr, Dennis. Towards a Multifunctional Lexical Resource: Design and Implementation of a Graph-Based Lexicon Model. de Gruyter GmbH, Walter, 2012.

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Bisseling, Rob H. Parallel Scientific Computation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198788348.001.0001.

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This book explains how to use the bulk synchronous parallel (BSP) model to design and implement parallel algorithms in the areas of scientific computing and big data. Furthermore, it presents a hybrid BSP approach towards new hardware developments such as hierarchical architectures with both shared and distributed memory. The book provides a full treatment of core problems in scientific computing and big data, starting from a high-level problem description, via a sequential solution algorithm to a parallel solution algorithm and an actual parallel program written in the communication library B
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Book chapters on the topic "Elemental graph data model"

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Kunii, Hideko S. "Graph Data Model." In Graph Data Model. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68114-4_2.

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Kunii, Hideko S. "Data Definition Language." In Graph Data Model. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68114-4_3.

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Kunii, Hideko S. "Data Manipulation Language." In Graph Data Model. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68114-4_4.

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Kunii, Hideko S. "Introduction." In Graph Data Model. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68114-4_1.

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Kunii, Hideko S. "Implementation of GDL." In Graph Data Model. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68114-4_5.

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Kunii, Hideko S. "A Comparison of Access Path Strategies." In Graph Data Model. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68114-4_6.

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Kunii, Hideko S. "Conclusions." In Graph Data Model. Springer Japan, 1990. http://dx.doi.org/10.1007/978-4-431-68114-4_7.

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Marković, Dejan, Robert W. Brodersen, and Rashmi Nanda. "Data-Flow Graph Model." In DSP Architecture Design Essentials. Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-9660-2_9.

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Nanni, Luca. "Computational Inference of DNA Folding Principles: From Data Management to Machine Learning." In Special Topics in Information Technology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85918-3_7.

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AbstractDNA is the molecular basis of life and would total about three meters if linearly untangled. To fit in the cell nucleus at the micrometer scale, DNA has, therefore, to fold itself into several layers of hierarchical structures, which are thought to be associated with functional compartmentalization of genomic features like genes and their regulatory elements. For this reason, understanding the mechanisms of genome folding is a major biological research problem. Studying chromatin conformation requires high computational resources and complex data analyses pipelines. In this chapter, we
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Lucarella, Dario, and Antonella Zanzi. "A graph-oriented data model." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0034681.

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Conference papers on the topic "Elemental graph data model"

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Xiaopeng, Su, Cai Wangqiu, Jiang Guangfeng, Chen Kang, Li Kai, and Lian Yue. "EMC Data Model Design driven by Graph Database." In 2024 IEEE 7th International Conference on Electronic Information and Communication Technology (ICEICT). IEEE, 2024. http://dx.doi.org/10.1109/iceict61637.2024.10671265.

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Yuan, Haiyue, Ali Raza, Nikolay Matyunin, Jibesh Patra, and Shujun Li. "A Graph-Based Model for Vehicle-Centric Data Sharing Ecosystem." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10919888.

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Olug, Eren, Kiymet Kaya, Resul Tugay, and Sule Gunduz Oguducu. "IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model." In 2024 IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD). IEEE, 2024. https://doi.org/10.1109/camad62243.2024.10943048.

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Foucault, Gilles, Jean-Claude Le´on, Jean-Christophe Cuillie`re, Vincent Franc¸ois, and Roland Maranzana. "A Topological Model for the Representation of Meshing Constraints in the Context of Finite Element Analysis." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99280.

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The preparation of Finite Element analysis models (FE models) from Computer Aided Design (CAD) models is still a difficult task since its Boundary Representation (B-Rep) is often composed of a large number of thin faces, small edges, which are much smaller than the desired element size, and are not relevant for the meshing process. Such inconsistencies often cause poor-shaped FE elements, overdensities of elements, not only slowing down the computation of the FE solution, but also producing poor simulation results. In this paper, we present a “Mesh Constraint Topology” (MCT) model with adaptat
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Inoue, Tomoya, Yujin Nakagawa, Tatsuya Kaneko, Ryota Wada, Keisuke Miyoshi, and Shungo Abe. "Early Stuck Pipe Detection Using Graph Attention Machine Learning." In ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/omae2023-101928.

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Abstract Early detection of stuck pipes during drilling operations is crucial and challenging. Some of the studies on stuck detection have adopted supervised machine learning approaches that employ datasets for “stuck” and “normal”. However, that is, for early detection before stuck occurs, the application of ordinal binary classification in supervised machine learning has presented several elemental concerns, such as limited stuck data, and lack of an exact “stuck sign” before occurrence. Our previous studies proposed an unsupervised machine learning approach using data on the normal activiti
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Mohammed Ali, Sura I. "Data Processing: An Approach Based On Indexing." In XI. International Scientific Congress of Pure, Applied and Technological Sciences (MINAR Congress). Rimar Academy, 2024. https://doi.org/10.47832/minarcongress11-6.

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The way things operate on the web has shifted because of advancements, in the Semantic Web and linked data. The use of the Standard Resource Description Framework (RDF) is widespread for storing data. Since RDF follows a graph based data model organizing and accessing information poses challenges. This necessitates the development of large scale systems that offer ways to search and retrieve information for use by both humans and machines. Our proposed approach seeks to address these issues by introducing an indexing engine tailor made for RDF structures. To enhance data retrieval speed and qu
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Gonzales, Ronald, Diego Mandelli, Congjian Wang, et al. "Verification, Validation, and Calibration Through a Causal Lens." In ASME 2024 Verification, Validation, and Uncertainty Quantification Symposium. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/vvuq2024-132343.

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Abstract While typical validation and verification approaches focus on identifying the associations between data elements using statistical and machine learning methods, the novel methods in this paper focus instead on identifying causal relationships between data elements. Statistical and machine-learning-based approaches are strictly data-driven, meaning that they provide quantitative comparison measures between data sets without explicitly considering the hypotheses behind them. This can lead to the erroneous conclusion that, if two data sets are close enough, the models that generated them
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Kasper, Nico, Michael Pfenning, and Martin Eigner. "Closing the Loop – Integrating Processes and Operational Digital Twin Data Into the Digital Thread Graph." In Entwerfen Entwickeln Erleben 2024. Technische Universität Dresden, 2024. http://dx.doi.org/10.25368/2024.eee.018.

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For manufacturers of complex interdisciplinary system solutions, the Digital Thread is an essential element that serves as the backbone of technical and organizational data flows. This study proposes a graph-based Digital Thread that integrates a Digital Model and a derived Digital Twin in a native graph database in a polyglot architecture. The approach includes dynamic processes such as advanced interdisciplinary change management and additional data from different lifecycle phases, using objects and relations described by attributes to minimize redundancy while enabling view creation and fil
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Inoue, Tomoya, Tatsuya Kaneko, Yujin Nakagawa, Ryota Wada, Shungo Abe, and Gota Yasutake. "A Novel Approach of Data Science Incorporating Physical Knowledge for Early Stuck Pipe Detection." In ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/omae2024-125728.

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Abstract Early detection of stuck pipes during drilling operations is crucial and challenging. Some of the existing studies on the stuck pipe detection have adopted supervised machine learning approaches that employ datasets for “stuck” and “normal”. However, for early detection before the occurrence of stuck pipe, the application of ordinal binary classification in supervised machine learning has presented several elemental concerns, such as limited stuck pipe data, and lack of an exact “stuck sign” before occurrence. Our previous studies proposed unsupervised machine learning approaches usin
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Xu, Yunfeng, Hui Zhao, Deli Jia, Yuhui Zhou, and Fankun Meng. "Physics-Informed Graph Connected Element Model for Reservoir Connectivity Identification and Production Forecasting in CO2-EOR." In GOTECH. SPE, 2025. https://doi.org/10.2118/224521-ms.

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Abstract This paper aims to develop a hybrid modeling framework that integrates the Connected Element Method (CEM), Graph Neural Networks (GNNs), and Physics-Informed Neural Networks (PINNs) to enhance reservoir connectivity identification and production forecasting in CO2-EOR operations. The framework addresses the limitations of traditional and purely data-driven models by ensuring physical consistency and improving predictive accuracy. The methodology incorporates three key components: (1) preprocessing reservoir data using CEM to extract physical parameters like transmissibility and connec
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Reports on the topic "Elemental graph data model"

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Ramakrishnan, Aravind, Fangyu Liu, Angeli Jayme, and Imad Al-Qadi. Prediction of Pavement Damage under Truck Platoons Utilizing a Combined Finite Element and Artificial Intelligence Model. Illinois Center for Transportation, 2024. https://doi.org/10.36501/0197-9191/24-030.

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For robust pavement design, accurate damage computation is essential, especially for loading scenarios such as truck platoons. Studies have developed a framework to compute pavement distresses as function of lateral position, spacing, and market-penetration level of truck platoons. The established framework uses a robust 3D pavement model, along with the AASHTOWare Mechanistic–Empirical Pavement Design Guidelines (MEPDG) transfer functions to compute pavement distresses. However, transfer functions include high variability and lack physical significance. Therefore, as an improvement to effecti
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Furniss, Peter, and Alastair Green. SQL/PGQ data model and graph schema. Linked Data Benchmark Council, 2018. http://dx.doi.org/10.54285/ldbc.qzsk3559.

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Issler, D. R., K. T. McDannell, L S Lane, P. B. O'Sullivan, and O. K. Neill. A multikinetic approach to apatite fission-track thermal modelling using elemental data: data and model results for a Permian and Devonian sample from northern Yukon. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328844.

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Juden, Matthew, Tichaona Mapuwei, Till Tietz, et al. Process Outcome Integration with Theory (POInT): academic report. Centre for Excellence and Development Impact and Learning (CEDIL), 2023. http://dx.doi.org/10.51744/crpp5.

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This paper describes the development and testing of a novel approach to evaluating development interventions – the POInT approach. The authors used Bayesian causal modelling to integrate process and outcome data to generate insights about all aspects of the theory of change, including outcomes, mechanisms, mediators and moderators. They partnered with two teams who had evaluated or were evaluating complex development interventions: The UPAVAN team had evaluated a nutrition-sensitive agriculture intervention in Odisha, India, and the DIG team was in the process of evaluating a disability-inclus
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Kriegel, Francesco. Learning description logic axioms from discrete probability distributions over description graphs (Extended Version). Technische Universität Dresden, 2018. http://dx.doi.org/10.25368/2022.247.

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Description logics in their standard setting only allow for representing and reasoning with crisp knowledge without any degree of uncertainty. Of course, this is a serious shortcoming for use cases where it is impossible to perfectly determine the truth of a statement. For resolving this expressivity restriction, probabilistic variants of description logics have been introduced. Their model-theoretic semantics is built upon so-called probabilistic interpretations, that is, families of directed graphs the vertices and edges of which are labeled and for which there exists a probability measure o
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Morin, Shai, Gregory Walker, Linda Walling, and Asaph Aharoni. Identifying Arabidopsis thaliana Defense Genes to Phloem-feeding Insects. United States Department of Agriculture, 2013. http://dx.doi.org/10.32747/2013.7699836.bard.

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The whitefly (Bemisia tabaci) is a serious agricultural pest that afflicts a wide variety of ornamental and vegetable crop species. To enable survival on a great diversity of host plants, whiteflies must have the ability to avoid or detoxify numerous different plant defensive chemicals. Such toxins include a group of insect-deterrent molecules called glucosinolates (GSs), which also provide the pungent taste of Brassica vegetables such as radish and cabbage. In our BARD grant, we used the whitefly B. tabaci and Arabidopsis (a Brassica plant model) defense mutants and transgenic lines, to gain
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INVERSION METHOD OF UNCERTAIN PARAMETERS FOR TRUSS STRUCTURES BASED ON GRAPH NEURAL NETWORKS. The Hong Kong Institute of Steel Construction, 2023. http://dx.doi.org/10.18057/ijasc.2023.19.4.5.

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Uncertainty exists widely in practical engineering. It is an important challenge in engineering structural analysis. In truss structures, the uncertainties of axial stiffness of bolted joints will significantly affect the mechanical behavior of the structure as the axial load is dominated by the member internal forces. Structural response analysis based on determined structural parameters is a common forward problem that can be solved by modeling analysis methods. However, the uncertainties parameter of axial stiffness of bolted joint cannot be determined during the design and analysis of trus
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