Academic literature on the topic 'RDF dataset characterization and classification'
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Journal articles on the topic "RDF dataset characterization and classification"
Gupta, Rupal, and Sanjay Kumar Malik. "A classification using RDFLIB and SPARQL on RDF dataset." Journal of Information and Optimization Sciences 43, no. 1 (January 2, 2022): 143–54. http://dx.doi.org/10.1080/02522667.2022.2039461.
Full textXiao, Changhu, Yuan Guo, Kaixuan Zhao, Sha Liu, Nongyue He, Yi He, Shuhong Guo, and Zhu Chen. "Prognostic Value of Machine Learning in Patients with Acute Myocardial Infarction." Journal of Cardiovascular Development and Disease 9, no. 2 (February 11, 2022): 56. http://dx.doi.org/10.3390/jcdd9020056.
Full textSarquah, Khadija, Satyanarayana Narra, Gesa Beck, Uduak Bassey, Edward Antwi, Michael Hartmann, Nana Sarfo Agyemang Derkyi, Edward A. Awafo, and Michael Nelles. "Characterization of Municipal Solid Waste and Assessment of Its Potential for Refuse-Derived Fuel (RDF) Valorization." Energies 16, no. 1 (December 24, 2022): 200. http://dx.doi.org/10.3390/en16010200.
Full textSeydou, Sangare, Konan Marcellin Brou, Kouame Appoh, and Kouadio Prosper Kimou. "HYBRID MODEL FOR THE CLASSIFICATION OF QUESTIONS EXPRESSED IN NATURAL LANGUAGE." International Journal of Advanced Research 10, no. 09 (September 30, 2022): 202–12. http://dx.doi.org/10.21474/ijar01/15343.
Full textLiang, Haobang, Jiao Li, Hejun Wu, Li Li, Xinrui Zhou, and Xinhua Jiang. "Mammographic Classification of Breast Cancer Microcalcifications through Extreme Gradient Boosting." Electronics 11, no. 15 (August 4, 2022): 2435. http://dx.doi.org/10.3390/electronics11152435.
Full textSliwinski, Jakub, Martin Strobel, and Yair Zick. "Axiomatic Characterization of Data-Driven Influence Measures for Classification." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 718–25. http://dx.doi.org/10.1609/aaai.v33i01.3301718.
Full textDevdatt Kawathekar, Ishan, and Anu Shaju Areeckal. "Performance analysis of texture characterization techniques for lung nodule classification." Journal of Physics: Conference Series 2161, no. 1 (January 1, 2022): 012045. http://dx.doi.org/10.1088/1742-6596/2161/1/012045.
Full textScime, Anthony, Nilay Saiya, Gregg R. Murray, and Steven J. Jurek. "Classification Trees as Proxies." International Journal of Business Analytics 2, no. 2 (April 2015): 31–44. http://dx.doi.org/10.4018/ijban.2015040103.
Full textStork, Christopher L., and Michael R. Keenan. "Advantages of Clustering in the Phase Classification of Hyperspectral Materials Images." Microscopy and Microanalysis 16, no. 6 (October 22, 2010): 810–20. http://dx.doi.org/10.1017/s143192761009402x.
Full textBougacha, Aymen, Ines Njeh, Jihene Boughariou, Omar Kammoun, Kheireddine Ben Mahfoudh, Mariem Dammak, Chokri Mhiri, and Ahmed Ben Hamida. "Rank-Two NMF Clustering for Glioblastoma Characterization." Journal of Healthcare Engineering 2018 (October 23, 2018): 1–7. http://dx.doi.org/10.1155/2018/1048164.
Full textDissertations / Theses on the topic "RDF dataset characterization and classification"
Sherif, Mohamed Ahmed Mohamed. "Automating Geospatial RDF Dataset Integration and Enrichment." Doctoral thesis, Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-215708.
Full textArndt, Natanael, and Norman Radtke. "Quit diff: calculating the delta between RDF datasets under version control." Universität Leipzig, 2016. https://ul.qucosa.de/id/qucosa%3A15780.
Full textArndt, Natanael, Norman Radtke, and Michael Martin. "Distributed collaboration on RDF datasets using Git." Universität Leipzig, 2016. https://ul.qucosa.de/id/qucosa%3A15781.
Full textSoderi, Mirco. "Semantic models for the modeling and management of big data in a smart city environment." Doctoral thesis, 2021. http://hdl.handle.net/2158/1232245.
Full textBook chapters on the topic "RDF dataset characterization and classification"
Murtovi, Alnis, Alexander Bainczyk, and Bernhard Steffen. "Forest GUMP: A Tool for Explanation." In Tools and Algorithms for the Construction and Analysis of Systems, 314–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99527-0_17.
Full textGarcía-Álvarez, David, Javier Lara Hinojosa, and Jaime Quintero Villaraso. "Global General Land Use Cover Datasets with a Single Date." In Land Use Cover Datasets and Validation Tools, 269–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90998-7_14.
Full textVan Miert, Sabine, Jan Creylman, and Geert R. Verheyen. "Mining a Nanoparticle Dataset, Compiled Within the MODENA-COST Action." In Research Anthology on Synthesis, Characterization, and Applications of Nanomaterials, 1706–24. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8591-7.ch071.
Full textFatima, Kiran, and Hammad Majeed. "Texture-Based Evolutionary Method for Cancer Classification in Histopathology." In Medical Imaging, 558–72. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0571-6.ch021.
Full textFatima, Kiran, and Hammad Majeed. "Texture-Based Evolutionary Method for Cancer Classification in Histopathology." In Advances in Data Mining and Database Management, 55–69. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9767-6.ch004.
Full textZhirnov, Ivan, and Dean Kouprianoff. "Acoustic Diagnostic of Laser Powder Bed Fusion Processes." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde220173.
Full textConference papers on the topic "RDF dataset characterization and classification"
Katterbauer, Klemens, Alberto Marsala, Yanhui Zhang, and Ibrahim Hoteit. "Artificial Intelligence Aided Geologic Facies Classification in Complex Carbonate Reservoirs." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204705-ms.
Full textLefranc, Marie, Zikri Bayraktar, Morten Kristensen, Hedi Driss, Isabell Le Nir, Philippe Marza, and Josselin Kherroubi. "DEEP-LEARNING-BASED AUTOMATED SEDIMENTARY GEOMETRY CHARACTERIZATION FROM BOREHOLE IMAGES." In 2021 SPWLA 62nd Annual Logging Symposium Online. Society of Petrophysicists and Well Log Analysts, 2021. http://dx.doi.org/10.30632/spwla-2021-0082.
Full textMasoud, Mohamed, W. Scott Meddaugh, Masoud Eljaroshi, and Khaled Elghanduri. "Enhanced and Rock Typing-Based Reservoir Characterization of the Palaeocene Harash Carbonate Reservoir-Zelten Field-Sirte Basin-Libya." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205971-ms.
Full textAbbas, Mohammed A., and Watheq J. Al-Mudhafar. "Lithofacies Classification of Carbonate Reservoirs Using Advanced Machine Learning: A Case Study from a Southern Iraqi Oil Field." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31114-ms.
Full textLuna, Santiago, and Christian Salamea. "Noise pattern definition methodology for noise cancellation in coughs signals using an adaptive filter." In Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100983.
Full textKatterbauer, Klemens, Waleed Dokhon, Fahmi Aulia, and Mohanad Fahmi. "A Novel Corrosion Monitoring and Prediction System Utilizing Advanced Artificial Intelligence." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204580-ms.
Full textLin, Tao, Mokhles Mezghani, Chicheng Xu, and Weichang Li. "Machine Learning for Multiple Petrophysical Properties Regression Based on Core Images and Well Logs in a Heterogenous Reservoir." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206089-ms.
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