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Статті в журналах з теми "Fingerprints Classification Data processing"
van Duijvenbode, Jeroen R., Mike W. N. Buxton, and Masoud Soleymani Shishvan. "Performance Improvements during Mineral Processing Using Material Fingerprints Derived from Machine Learning—A Conceptual Framework." Minerals 10, no. 4 (April 18, 2020): 366. http://dx.doi.org/10.3390/min10040366.
Повний текст джерелаIbitayo, Faluyi Bamidele, Olowojebutu Akinyemi Olanrewaju, and Makinde Bukola Oyeladun. "A FINGERPRINT BASED GENDER DETECTOR SYSTEM USING FINGERPRINT PATTERN ANALYSIS." international journal of advanced research in computer science 13, no. 4 (August 20, 2022): 35–47. http://dx.doi.org/10.26483/ijarcs.v13i4.6885.
Повний текст джерелаDincă Lăzărescu, Andreea-Monica, Simona Moldovanu, and Luminita Moraru. "A Fingerprint Matching Algorithm Using the Combination of Edge Features and Convolution Neural Networks." Inventions 7, no. 2 (May 27, 2022): 39. http://dx.doi.org/10.3390/inventions7020039.
Повний текст джерелаSuryadibrata, Alethea, and Suryadi Darmawan Salim. "Klasifikasi Anjing dan Kucing menggunakan Algoritma Linear Discriminant Analysis dan Support Vector Machine." Ultimatics : Jurnal Teknik Informatika 11, no. 1 (August 30, 2019): 46–51. http://dx.doi.org/10.31937/ti.v11i1.1076.
Повний текст джерелаChhabra, Megha, Manoj Kumar Shukla, and Kiran Kumar Ravulakollu. "Boosting the classification performance of latent fingerprint segmentation using cascade of classifiers." Intelligent Decision Technologies 14, no. 3 (September 29, 2020): 359–71. http://dx.doi.org/10.3233/idt-190105.
Повний текст джерелаMohammed Salih, Basna, Adnan Mohsin Abdulazeez, and Omer Mohammed Salih Hassan. "Gender Classification Based on Iris Recognition Using Artificial Neural Networks." Qubahan Academic Journal 1, no. 2 (May 31, 2021): 156–63. http://dx.doi.org/10.48161/qaj.v1n2a63.
Повний текст джерелаHausdorf, Lena, Antje Fröhling, Oliver Schlüter, and Michael Klocke. "Analysis of the bacterial community within carrot wash water." Canadian Journal of Microbiology 57, no. 5 (May 2011): 447–52. http://dx.doi.org/10.1139/w11-013.
Повний текст джерелаZhu, Qingchao, Qiqi Guo, Xiaoou Song, and Yue Zhang. "Research on combined radio frequency fingerprint identification model with limited samples." Journal of Physics: Conference Series 2284, no. 1 (June 1, 2022): 012014. http://dx.doi.org/10.1088/1742-6596/2284/1/012014.
Повний текст джерелаJeon, Woosung, and Dongsup Kim. "FP2VEC: a new molecular featurizer for learning molecular properties." Bioinformatics 35, no. 23 (May 9, 2019): 4979–85. http://dx.doi.org/10.1093/bioinformatics/btz307.
Повний текст джерелаBeckmann, Manfred, David P. Enot, David P. Overy, Ian M. Scott, Paul G. Jones, David Allaway, and John Draper. "Metabolite fingerprinting of urine suggests breed-specific dietary metabolism differences in domestic dogs." British Journal of Nutrition 103, no. 8 (December 15, 2009): 1127–38. http://dx.doi.org/10.1017/s000711450999300x.
Повний текст джерелаДисертації з теми "Fingerprints Classification Data processing"
Deng, Huimin, and 鄧惠民. "Robust minutia-based fingerprint verification." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37036427.
Повний текст джерелаAygar, Alper. "Doppler Radar Data Processing And Classification." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609890/index.pdf.
Повний текст джерелаFernandez, Noemi. "Statistical information processing for data classification." FIU Digital Commons, 1996. http://digitalcommons.fiu.edu/etd/3297.
Повний текст джерелаVarnavas, Andreas Soteriou. "Signal processing methods for EEG data classification." Thesis, Imperial College London, 2008. http://hdl.handle.net/10044/1/11943.
Повний текст джерелаShen, Shan. "MRI brain tumour classification using image processing and data mining." Thesis, University of Strathclyde, 2004. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21543.
Повний текст джерелаKirkin, S., and K. V. Melnyk. "Intelligent Data Processing in Creating Targeted Advertising." Thesis, National Technical University "Kharkiv Polytechnic Institute", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/44710.
Повний текст джерелаPinheiro, Muriel Aline. "Processing, radiometric correction, autofocus and polarimetric classification of circular SAR data." Instituto Tecnológico de Aeronáutica, 2010. http://www.bd.bibl.ita.br/tde_busca/arquivo.php?codArquivo=1083.
Повний текст джерелаALMEIDA, Marcos Antonio Martins de. "Statistical analysis applied to data classification and image filtering." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/25506.
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Made available in DSpace on 2018-08-09T20:49:01Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) TESE Marcos Antonio Martins de Almeida.pdf: 11555397 bytes, checksum: db589d39915a5dda1d8b9e763a9cf4c0 (MD5) Previous issue date: 2016-12-21
Statistical analysis is a tool of wide applicability in several areas of scientific knowledge. This thesis makes use of statistical analysis in two different applications: data classification and image processing targeted at document image binarization. In the first case, this thesis presents an analysis of several aspects of the consistency of the classification of the senior researchers in computer science of the Brazilian research council, CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico. The second application of statistical analysis developed in this thesis addresses filtering-out the back to front interference which appears whenever a document is written or typed on both sides of translucent paper. In this topic, an assessment of the most important algorithms found in the literature is made, taking into account a large quantity of parameters such as the strength of the back to front interference, the diffusion of the ink in the paper, and the texture and hue of the paper due to aging. A new binarization algorithm is proposed, which is capable of removing the back-to-front noise in a wide range of documents. Additionally, this thesis proposes a new concept of “intelligent” binarization for complex documents, which besides text encompass several graphical elements such as figures, photos, diagrams, etc.
Análise estatística é uma ferramenta de grande aplicabilidade em diversas áreas do conhecimento científico. Esta tese faz uso de análise estatística em duas aplicações distintas: classificação de dados e processamento de imagens de documentos visando a binarização. No primeiro caso, é aqui feita uma análise de diversos aspectos da consistência da classificação de pesquisadores sêniores do CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico, na área de Ciência da Computação. A segunda aplicação de análise estatística aqui desenvolvida trata da filtragem da interferência frente-verso que surge quando um documento é escrito ou impresso em ambos os lados da folha de um papel translúcido. Neste tópico é inicialmente feita uma análise da qualidade dos mais importantes algoritmos de binarização levando em consideração parâmetros tais como a intensidade da interferência frente-verso, a difusão da tinta no papel e a textura e escurecimento do papel pelo envelhecimento. Um novo algoritmo para a binarização eficiente de documentos com interferência frente-verso é aqui apresentado, tendo se mostrado capaz de remover tal ruído em uma grande gama de documentos. Adicionalmente, é aqui proposta a binarização “inteligente” de documentos complexos que envolvem diversos elementos gráficos (figuras, diagramas, etc).
Schmidt, Sven. "Quality-of-Service-Aware Data Stream Processing." Doctoral thesis, Technische Universität Dresden, 2006. https://tud.qucosa.de/id/qucosa%3A23955.
Повний текст джерелаKutzner, Kendy. "Processing MODIS Data for Fire Detection in Australia." Thesis, Universitätsbibliothek Chemnitz, 2002. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200200831.
Повний текст джерелаDas Ziel dieser Arbeit war die Nutzung von Fernerkundungsdaten des MODIS Instruments an Bord des Satelliten Terra zur Erkennung von Buschfeuern in Australien. Das schloss die Vorverarbeitung der Daten vom Demodulator, die Bitsynchronisation und die Umpacketierung der Daten ein. IMAPP wurde genutzt um die Daten zu kalibrieren und zu geolokalisieren. Die Feuererkennung bedient sich einer Kombination von absoluten Schwellwerttests, Differenztests und Vergleichen mit dem Hintergrund. Die Ergebnisse wurden in eine rechteckige Laengen/Breitengradkarte projiziert um dem BowTie Effekt entgegenzuwirken. Die benutzten Algrorithmen wurden in C und Matlab implementiert. Es zeigte sich, dass es moeglich ist in den verfuegbaren Daten Feuer zu erkennen. Die Ergebnisse wurden mit Feuererkennungen der NASA und Feuererkennung die auf anderen Sensoren basieren verglichen und fuer sehr aehnlich befunden
Книги з теми "Fingerprints Classification Data processing"
Bowen, Jacqueline D. Automatic fingerprint pattern classification using neutral networks. London: Home Office, Science and Technology Group, 1992.
Знайти повний текст джерелаC, Lee Henry, and Gaensslen R. E, eds. Advances in fingerprint technology. New York: Elsevier, 1991.
Знайти повний текст джерелаC, Lee Henry, and Gaensslen R. E, eds. Advances in fingerprint technology. 2nd ed. Boca Raton, Fla: CRC Press, 2001.
Знайти повний текст джерелаC, Lee Henry, and Gaensslen R. E, eds. Advances in fingerprint technology. Boca Raton, Fla: CRC Press, 1994.
Знайти повний текст джерелаShaw, Sandy. Overview of watermarks, fingerprints, and digital signature. Manchester: Joint Information Systems Committee, 1999.
Знайти повний текст джерелаBolle, Ruud, and Nalini K. Ratha. Automatic fingerprint recognition systems. New York: Springer, 2004.
Знайти повний текст джерелаLee and Gaensslen's advances in fingerprint technology. 3rd ed. Boca Raton, FL: CRC Press, 2013.
Знайти повний текст джерелаGarcía, Florencio Oscar. MARC, OCLC, ISBN: A book's fingerprints. 2nd ed. Albuquerque, NM: FOG Publications, 1987.
Знайти повний текст джерелаFox, R. P. The classification and coding of accounting information. London: Institute of Cost and Management Accountants, 1986.
Знайти повний текст джерелаFox, R. P. The classification and coding of accounting information. London: Chartered Institute of Management Accountants, 1992.
Знайти повний текст джерелаЧастини книг з теми "Fingerprints Classification Data processing"
Omatu, Sigeru. "Odor classification by neural networks *." In Advanced Data Acquisition and Intelligent Data Processing, 159–79. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337027-7.
Повний текст джерелаChekanov, Sergei V. "Finding Regularities and Data Classification." In Advanced Information and Knowledge Processing, 505–26. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28531-3_14.
Повний текст джерелаGiron-Sierra, Jose Maria. "Data Analysis and Classification." In Digital Signal Processing with Matlab Examples, Volume 2, 647–835. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2537-2_7.
Повний текст джерелаLourens, J. G. "Classification of Ships Using Underwater Radiated Noise." In Underwater Acoustic Data Processing, 591–96. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_66.
Повний текст джерелаZeng, Zhi-Qiang, and Ji Gao. "Improving SVM Classification with Imbalance Data Set." In Neural Information Processing, 389–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10677-4_44.
Повний текст джерелаTirumala, Sreenivas Sremath, and A. Narayanan. "Hierarchical Data Classification Using Deep Neural Networks." In Neural Information Processing, 492–500. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26532-2_54.
Повний текст джерелаSuganya, R., S. Rajaram, and A. Sheik Abdullah. "Image Classification and Retrieval." In Big Data in Medical Image Processing, 125–89. Boca Raton, FL : CRC Press, [2018] | “A science publishers book.”: CRC Press, 2018. http://dx.doi.org/10.1201/b22456-5.
Повний текст джерелаMuroi, Kota, and Kazuhiro Kondo. "Speech Manipulation Detection Method Using Speech Fingerprints and Timestamp Data." In Advances in Intelligent Information Hiding and Multimedia Signal Processing, 1–9. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1053-1_1.
Повний текст джерелаLu, Lin, and Michał Woźniak. "Imbalanced Data Classification Using Weighted Voting Ensemble." In Image Processing and Communications, 82–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31254-1_11.
Повний текст джерелаNelson, Stacy A. C., and Siamak Khorram. "Supervised Classification." In Image Processing and Data Analysis with ERDAS IMAGINE®, 207–29. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21969-10.
Повний текст джерелаТези доповідей конференцій з теми "Fingerprints Classification Data processing"
Sahu, Suman, A. Prabhakar Rao, and Saurabh Tarun Mishra. "Fingerprints based gender classification using Adaptive Neuro Fuzzy Inference System." In 2015 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2015. http://dx.doi.org/10.1109/iccsp.2015.7322700.
Повний текст джерелаNovikov, Sergey O., and Valery S. Kot. "Singular feature detection and classification of fingerprints using Hough transform." In Sixth International Workshop on Digital Image Processing and Computer Graphics, edited by Emanuel Wenger and Leonid I. Dimitrov. SPIE, 1998. http://dx.doi.org/10.1117/12.301375.
Повний текст джерелаMakrushin, Andrey, Venkata Srinath Mannam, B. N. Meghana Rao, and Jana Dittmann. "Data-driven Reconstruction of Fingerprints from Minutiae Maps." In 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2022. http://dx.doi.org/10.1109/mmsp55362.2022.9949242.
Повний текст джерелаShinde, Swapnil R., and Sudeep D. Thepade. "Gender classification with KNN by extraction of Haar wavelet features from canny shape fingerprints." In 2015 International Conference on Information Processing (ICIP). IEEE, 2015. http://dx.doi.org/10.1109/infop.2015.7489473.
Повний текст джерелаFan, Hao, Guangping Xu, Yi Zhang, Liming Yuan, and Yanbing Xue. "CSF: An Efficient Parallel Deduplication Algorithm by Clustering Scattered Fingerprints." In 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE, 2019. http://dx.doi.org/10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00091.
Повний текст джерелаAlharbiy, A. A., and C. Abhayaratne. "Classification of Remotely Compressively Sensed Data." In IET Intelligent Signal Processing Conference 2013 (ISP 2013). Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.2064.
Повний текст джерелаLi, Yanling, Guoshe Sun, and Yehang Zhu. "Data Imbalance Problem in Text Classification." In 2010 Third International Symposium on Information Processing (ISIP). IEEE, 2010. http://dx.doi.org/10.1109/isip.2010.47.
Повний текст джерелаFawzi, Alhussein, Horst Samulowitz, Deepak Turaga, and Pascal Frossard. "Adaptive data augmentation for image classification." In 2016 IEEE International Conference on Image Processing (ICIP). IEEE, 2016. http://dx.doi.org/10.1109/icip.2016.7533048.
Повний текст джерелаLu, Yuzhe, Haichun Yang, Zheyu Zhu, Ruining Deng, Agnes B. Fogo, and Yuankai Huo. "Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation." In Image Processing, edited by Bennett A. Landman and Ivana Išgum. SPIE, 2021. http://dx.doi.org/10.1117/12.2580482.
Повний текст джерелаRizzi, Antonello, Nicola Maurizio Buccino, Massimo Panella, and Aurelio Uncini. "Genre classification of compressed audio data." In 2008 IEEE 10th Workshop on Multimedia Signal Processing (MMSP). IEEE, 2008. http://dx.doi.org/10.1109/mmsp.2008.4665157.
Повний текст джерелаЗвіти організацій з теми "Fingerprints Classification Data processing"
Bell, Thomas, and Ryan Steigerwalt. Tensor Invariant Processing of Multistatic EMI Data for Target Classification. Fort Belvoir, VA: Defense Technical Information Center, May 2015. http://dx.doi.org/10.21236/ada624853.
Повний текст джерелаPavlicheva, E. N., V. P. Meshalkin, and N. S. CHikunov. Algorithm for processing text data for an automatic classification problem using the word2vec method. OFERNIO, February 2021. http://dx.doi.org/10.12731/ofernio.2021.24759.
Повний текст джерелаDavis, Benjamin. Applying Machine Learning to the Classification of DC-DC Converters: Real-world data collection processing & Validation. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1670255.
Повний текст джерелаLasko, Kristofer, and Sean Griffin. Monitoring Ecological Restoration with Imagery Tools (MERIT) : Python-based decision support tools integrated into ArcGIS for satellite and UAS image processing, analysis, and classification. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40262.
Повний текст джерелаEngel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, July 1996. http://dx.doi.org/10.32747/1996.7613033.bard.
Повний текст джерелаSearcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, August 1993. http://dx.doi.org/10.32747/1993.7568747.bard.
Повний текст джерелаNeeley, Aimee, Stace E. Beaulieu, Chris Proctor, Ivona Cetinić, Joe Futrelle, Inia Soto Ramos, Heidi M. Sosik, et al. Standards and practices for reporting plankton and other particle observations from images. Woods Hole Oceanographic Institution, July 2021. http://dx.doi.org/10.1575/1912/27377.
Повний текст джерела