Добірка наукової літератури з теми "Network extraction"
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Статті в журналах з теми "Network extraction"
Neal, Zachary P. "backbone: An R package to extract network backbones." PLOS ONE 17, no. 5 (May 31, 2022): e0269137. http://dx.doi.org/10.1371/journal.pone.0269137.
Повний текст джерелаPELLEGRINI, Lilla, Monica LEBA, and Alexandru IOVANOVICI. "CHARACTERIZATION OF URBAN TRANSPORTATION NETWORKS USING NETWORK MOTIFS." Acta Electrotechnica et Informatica 20, no. 4 (January 21, 2020): 3–9. http://dx.doi.org/10.15546/aeei-2020-0019.
Повний текст джерелаBaptista, Diego, and Caterina De Bacco. "Principled network extraction from images." Royal Society Open Science 8, no. 7 (July 2021): 210025. http://dx.doi.org/10.1098/rsos.210025.
Повний текст джерелаYang, Kaili, Weihong Cui, Shu Shi, Yu Liu, Yuanjin Li, and Mengyu Ge. "Semi-Automatic Method of Extracting Road Networks from High-Resolution Remote-Sensing Images." Applied Sciences 12, no. 9 (May 7, 2022): 4705. http://dx.doi.org/10.3390/app12094705.
Повний текст джерелаHAYASHI, YOICHI. "NEURAL NETWORK RULE EXTRACTION BY A NEW ENSEMBLE CONCEPT AND ITS THEORETICAL AND HISTORICAL BACKGROUND: A REVIEW." International Journal of Computational Intelligence and Applications 12, no. 04 (December 2013): 1340006. http://dx.doi.org/10.1142/s1469026813400063.
Повний текст джерелаEt.al, Mahyuddin K. M. Nasution. "Social Network Extraction Unsupervised." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 11, 2021): 4443–49. http://dx.doi.org/10.17762/turcomat.v12i3.1824.
Повний текст джерелаChaitanya, Aravapalli Sri, Suvarna Vani Koneru, and Praveen Kumar Kollu. "Road Network Extraction using Atrous Spatial Pyramid Pooling." International Journal of Innovative Technology and Exploring Engineering 8, no. 9 (July 30, 2019): 31–33. http://dx.doi.org/10.35940/ijitee.h7459.078919.
Повний текст джерелаLuo, Shuai, Kai Yang, Lijuan Yang, Yong Wang, Xiaorong Gao, Tianci Jiang, and Chunjiang Li. "Laser Curve Extraction of Wheelset Based on Deep Learning Skeleton Extraction Network." Sensors 22, no. 3 (January 23, 2022): 859. http://dx.doi.org/10.3390/s22030859.
Повний текст джерелаMilano, Nicola, and Stefano Nolfi. "Autonomous learning of features for control: Experiments with embodied and situated agents." PLOS ONE 16, no. 4 (April 15, 2021): e0250040. http://dx.doi.org/10.1371/journal.pone.0250040.
Повний текст джерелаHsu, Pai-Hui. "EVALUATING THE INITIALIZATION METHODS OF WAVELET NETWORKS FOR HYPERSPECTRAL IMAGE CLASSIFICATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 17, 2016): 83–89. http://dx.doi.org/10.5194/isprs-archives-xli-b7-83-2016.
Повний текст джерелаДисертації з теми "Network extraction"
McEnnis, Daniel. "On-demand metadata extraction network (OMEN)." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99382.
Повний текст джерелаEl, Ghoul Aymen. "Phase fields for network extraction from images." Nice, 2010. http://www.theses.fr/2010NICE4075.
Повний текст джерелаThis thesis describes the construction of an undirected network (e. G. Road network) model, based on the recently developed higher-order active contours (HOACs) and phase fields, and introduces a new family of phase field HOACs for directed networks (e. G. Hydrographic networks in remote sensing imagery, vascular networks in medical imagery). In the first part of this thesis, we focus on the stability analysis of a HOAC energy leading to a “phase diagram”. The results which are confirmed by numerical experiments enable the selection of parameter values for the modeling of indirectly networks. Hydrographic networks, unlike road networks, are directed, i. E. They carry a unidirectional flow in each branch. This leads to specific geometric properties of the branches and particularly of the junctions that it is useful to capture in model, for network extraction purposes. We thus develop a nonlocal phase field model of directed networks, which, in addition to a scalar field representing a region by its smoothed characteristic function and interacting no locally so as to favor network configurations, contains a vector field representing the “flow” through the network branches. The vector field is strongly encouraged to be zero outside, and of unit magnitude inside the network ; running along the network branches ; and to have a zero divergence. This prolongs network, controls width variation along a branch ; and produces asymmetric junctions for which total incoming branch width approximately equals total outgoing branch width. The new proposed model is applied to the problem of hydrographic network extraction from very high resolution satellite images, and it outperforms the undirected network model
Swanepoel, Lodewyk. "Network simulation for the effective extraction of IP network statistics / Lodewyk Swanepoel." Thesis, North-West University, 2003. http://hdl.handle.net/10394/231.
Повний текст джерелаThesis (M.Ing.)--North-West University, Potchefstroom Campus, 2004.
Kushmerick, Nicholas. "Wrapper induction for information extraction /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/6867.
Повний текст джерелаTong, Dong Ling. "Genetic algorithm-neural network : feature extraction for bioinformatics data." Thesis, Bournemouth University, 2010. http://eprints.bournemouth.ac.uk/15788/.
Повний текст джерелаSeegmiller, Ray D., Greg C. Willden, Maria S. Araujo, Todd A. Newton, Ben A. Abbott, and William A. Malatesta. "Automation of Generalized Measurement Extraction from Telemetric Network Systems." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581647.
Повний текст джерелаIn telemetric network systems, data extraction is often an after-thought. The data description frequently changes throughout the program so that last minute modifications of the data extraction approach are often required. This paper presents an alternative approach in which automation of measurement extraction is supported. The central key is a formal declarative language that can be used to configure instrumentation devices as well as measurement extraction devices. The Metadata Description Language (MDL) defined by the integrated Network Enhanced Telemetry (iNET) program, augmented with a generalized measurement extraction approach, addresses this issue. This paper describes the TmNS Data Extractor Tool, as well as lessons learned from commercial systems, the iNET program and TMATS.
Karaman, Ersin. "Road Network Extraction From High-resolution Multi-spectral Satellite Images." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12615362/index.pdf.
Повний текст джерелаKumuthini, Judit. "Extraction of genetic network from microarray data using Bayesian framework." Thesis, Cranfield University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442547.
Повний текст джерелаWang, Wei. "Event Detection and Extraction from News Articles." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/82238.
Повний текст джерелаPh. D.
Bródka, Piotr. "Key User Extraction Based on Telecommunication Data." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5863.
Повний текст джерелаКниги з теми "Network extraction"
Trigueiros, Duarte. Neural network based methods in the extraction of knowledge from accounting and financial data. Norwich: University of East Anglia, 1991.
Знайти повний текст джерелаMokhlesabadifarahani, Bita, and Vinit Kumar Gunjan. EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-320-0.
Повний текст джерелаBerry, R. H. The application of neural network based methods to the extraction of knowledge from accounting reports: A classificationstudy. Norwich: School of Information Systems, University of East Anglia, 1991.
Знайти повний текст джерелаSupervised and unsupervised pattern recognition: Feature extraction and computational intelligence. Boca Raton, Fla: CRC Press, 2000.
Знайти повний текст джерелаSemantic network analysis: Techniques for extracting, representing and querying media content. Charleston, SC: BookSurge, 2008.
Знайти повний текст джерелаDNIS 2010 (2010 Aizu Daigaku). Databases in networked information systems: 6th international workshop, DNIS 2010, Aizu-Wakamatsu, Japan, March 29-31, 2010 : proceedings. Berlin: Springer, 2010.
Знайти повний текст джерелаGunjan, Vinit Kumar, and Bita Mokhlesabadifarahani. EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction. Springer, 2015.
Знайти повний текст джерелаGunjan, Vinit Kumar, and Bita Mokhlesabadifarahani. EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction. Springer London, Limited, 2015.
Знайти повний текст джерелаBianconi, Ginestra. Multilayer Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.001.0001.
Повний текст джерелаIrarrazaval, Felipe, and Martín Arias-Loyola. Resource Peripheries in the Global Economy: Networks, Scales, and Places of Extraction. Springer International Publishing AG, 2021.
Знайти повний текст джерелаЧастини книг з теми "Network extraction"
Yang, Cheng, Chuan Shi, Zhiyuan Liu, Cunchao Tu, and Maosong Sun. "Network Embedding for Social Relation Extraction." In Network Embedding, 135–45. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-01590-8_10.
Повний текст джерелаWen, Dong, Zhenhao Wei, Yanhong Zhou, Yanbo Sun, Fengnian Li, and Jiewei Li. "Spatial Complex Brain Network." In EEG Signal Processing and Feature Extraction, 267–86. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9113-2_13.
Повний текст джерелаGao, Zhongke, Yuxuan Yang, and Qing Cai. "Temporal Complex Network Analysis." In EEG Signal Processing and Feature Extraction, 287–300. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9113-2_14.
Повний текст джерелаRajeh, Stephany, Marinette Savonnet, Eric Leclercq, and Hocine Cherifi. "Modularity-Based Backbone Extraction in Weighted Complex Networks." In Network Science, 67–79. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97240-0_6.
Повний текст джерелаHamasaki, Masahiro, Yutaka Matsuo, Keisuke Ishida, Yoshiyuki Nakamura, Takuichi Nishimura, and Hideaki Takeda. "Community Focused Social Network Extraction." In The Semantic Web – ASWC 2006, 155–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11836025_16.
Повний текст джерелаNguyen, Vu Duc, Yang-Wai Chow, and Willy Susilo. "Attacking Animated CAPTCHAs via Character Extraction." In Cryptology and Network Security, 98–113. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35404-5_9.
Повний текст джерелаLiu, ChunYang, WenBo Sun, WenHan Chao, and WanXiang Che. "Convolution Neural Network for Relation Extraction." In Advanced Data Mining and Applications, 231–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-53917-6_21.
Повний текст джерелаCarlini, Nicholas, Matthew Jagielski, and Ilya Mironov. "Cryptanalytic Extraction of Neural Network Models." In Advances in Cryptology – CRYPTO 2020, 189–218. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56877-1_7.
Повний текст джерелаBuccella, Pietro, Camillo Stefanucci, Maher Kayal, and Jean-Michel Sallese. "Extraction Tool for the Substrate Network." In Analog Circuits and Signal Processing, 97–112. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74382-0_5.
Повний текст джерелаBenediktsson, Jon A., and Johannes R. Sveinsson. "Feature Extraction for Neural Network Classifiers." In Neurocomputation in Remote Sensing Data Analysis, 97–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59041-2_11.
Повний текст джерелаТези доповідей конференцій з теми "Network extraction"
Fang, Songtao, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, and Qi Liu. "Guided Attention Network for Concept Extraction." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/200.
Повний текст джерелаYang, Dongdong, Senzhang Wang, and Zhoujun Li. "Ensemble Neural Relation Extraction with Adaptive Boosting." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/630.
Повний текст джерелаKhan, Mohd Jawed, and Pankaj Pratap Singh. "Road Extraction from Remotely Sensed Data: A Review." In Intelligent Computing and Technologies Conference. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.115.14.
Повний текст джерелаZheng, Xiaoming, Yan Wang, and Mehmet A. Orgun. "Contextual Sub-network Extraction in Contextual Social Networks." In 2015 IEEE Trustcom/BigDataSE/ISPA. IEEE, 2015. http://dx.doi.org/10.1109/trustcom.2015.365.
Повний текст джерелаTao Chen, Yue Sun, and Shi Jian Zhao. "Constrained principal component extraction network." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4594025.
Повний текст джерелаLiu, Jianyi, and Jinghua Wang. "Keyword Extraction Using Language Network." In 2007 International Conference on Natural Language Processing and Knowledge Engineering. IEEE, 2007. http://dx.doi.org/10.1109/nlpke.2007.4368023.
Повний текст джерелаXu, Chenglin, Wei Rao, Eng Siong Chng, and Haizhou Li. "Time-Domain Speaker Extraction Network." In 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). IEEE, 2019. http://dx.doi.org/10.1109/asru46091.2019.9004016.
Повний текст джерелаXiao, Ming-Ming, Shun-Zheng Yu, and Yu Wang. "Automatic Network Protocol Automaton Extraction." In 2009 Third International Conference on Network and System Security. IEEE, 2009. http://dx.doi.org/10.1109/nss.2009.71.
Повний текст джерелаYang, Hang, Haosen Wang, Huang Peng, Deqi Cao, Yuntao Zhang, and Yajie Dou. "Network Security Intelligence Information Extraction." In 2021 International Conference on Machine Learning and Intelligent Systems Engineering (MLISE). IEEE, 2021. http://dx.doi.org/10.1109/mlise54096.2021.00043.
Повний текст джерелаSalakij, Saran, James A. Liburdy, and Deborah V. Pence. "Modeling In-Situ Vapor Extraction During Convective Boiling." In ASME 2009 Fluids Engineering Division Summer Meeting. ASMEDC, 2009. http://dx.doi.org/10.1115/fedsm2009-78522.
Повний текст джерелаЗвіти організацій з теми "Network extraction"
Intrator, Nathan. A Neural Network for Feature Extraction. Fort Belvoir, VA: Defense Technical Information Center, March 1990. http://dx.doi.org/10.21236/ada223059.
Повний текст джерелаBixby, Robert E., and Robert Fourer. Finding Embedded Network Rows in Linear Programs I: Extraction Heuristics. Fort Belvoir, VA: Defense Technical Information Center, August 1986. http://dx.doi.org/10.21236/ada455195.
Повний текст джерелаKegelmeyer, Philip W., Timothy M. Shead, and Daniel M. Dunlavy. Network and Ensemble Enabled Entity Extraction in Informal Text (NEEEEIT) final report. Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1115263.
Повний текст джерелаGriffin, Andrew, Sean Griffin, Kristofer Lasko, Megan Maloney, S. Blundell, Michael Collins, and Nicole Wayant. Evaluation of automated feature extraction algorithms using high-resolution satellite imagery across a rural-urban gradient in two unique cities in developing countries. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40182.
Повний текст джерелаKazmierczak, Ing H. Automatic Line Network Extraction from Aerial Imagery of Urban Areas through Knowledge-Based Image Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada202810.
Повний текст джерелаLi, Howell, Enrique Saldivar-Carranza, Jijo K. Mathew, Woosung Kim, Jairaj Desai, Timothy Wells, and Darcy M. Bullock. Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317212.
Повний текст джерелаCanellas, João Vitor, Fabio Ritto, Ricardo Fischer, and Paulo Jose Medeiros. What is the best biomaterial for alveolar ridge preservation after tooth extraction? a systematic review and network meta-analysis protocol. INPLASY - International Platform of Registered Systematic Review Protocols, March 2020. http://dx.doi.org/10.37766/inplasy2020.3.0005.
Повний текст джерелаLi, wanlin, jie Yun, siying He, ziqi Zhou, and ling He. Effect of different exercise therapies on fatigue in maintenance hemodialysis patients:A Bayesian Network Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0144.
Повний текст джерелаBalza, Lenin H., Camilo De Los Rios, Alfredo Guerra, Luis Herrera-Prada, and Osmel Manzano. Unraveling the Network of the Extractive Industries. Inter-American Development Bank, April 2021. http://dx.doi.org/10.18235/0003191.
Повний текст джерелаWeischedel, Ralph. Extracting Dynamic Evidence Networks. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada429898.
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