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Статті в журналах з теми "Cross-scale knowledge"
Li, Zhi, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, and Enhong Chen. "Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (May 18, 2021): 4215–23. http://dx.doi.org/10.1609/aaai.v35i5.16545.
Повний текст джерелаAhmad Khan, Aatif, and Sanjay Kumar Malik. "Assessing Large-Scale, Cross-Domain Knowledge Bases for Semantic Search." Mehran University Research Journal of Engineering and Technology 39, no. 3 (July 1, 2020): 595–602. http://dx.doi.org/10.22581/muet1982.2003.14.
Повний текст джерелаJin, Hailong, Chengjiang Li, Jing Zhang, Lei Hou, Juanzi Li, and Peng Zhang. "XLORE2: Large-scale Cross-lingual Knowledge Graph Construction and Application." Data Intelligence 1, no. 1 (March 2019): 77–98. http://dx.doi.org/10.1162/dint_a_00003.
Повний текст джерелаTalluto, Matthew V., Isabelle Boulangeat, Aitor Ameztegui, Isabelle Aubin, Dominique Berteaux, Alyssa Butler, Frédérik Doyon, et al. "Cross-scale integration of knowledge for predicting species ranges: a metamodelling framework." Global Ecology and Biogeography 25, no. 2 (October 29, 2015): 238–49. http://dx.doi.org/10.1111/geb.12395.
Повний текст джерелаLi, Mingyong, Qiqi Li, Lirong Tang, Shuang Peng, Yan Ma, and Degang Yang. "Deep Unsupervised Hashing for Large-Scale Cross-Modal Retrieval Using Knowledge Distillation Model." Computational Intelligence and Neuroscience 2021 (July 17, 2021): 1–11. http://dx.doi.org/10.1155/2021/5107034.
Повний текст джерелаKeeley, Annika T. H., Alexander K. Fremier, Pascale A. L. Goertler, Patrick R. Huber, Anna M. Sturrock, Samuel M. Bashevkin, Blake A. Barbaree, et al. "Governing Ecological Connectivity in Cross-Scale Dependent Systems." BioScience 72, no. 4 (January 25, 2022): 372–86. http://dx.doi.org/10.1093/biosci/biab140.
Повний текст джерелаDelgado-Serrano, María, and Roberto Escalante Semerena. "Gender and Cross-Scale Differences in the Perception of Social-Ecological Systems." Sustainability 10, no. 9 (August 22, 2018): 2983. http://dx.doi.org/10.3390/su10092983.
Повний текст джерелаLiu, Bi-Yuan, Huai-Xin Chen, Zhou Huang, Xing Liu, and Yun-Zhi Yang. "ZoomInNet: A Novel Small Object Detector in Drone Images with Cross-Scale Knowledge Distillation." Remote Sensing 13, no. 6 (March 21, 2021): 1198. http://dx.doi.org/10.3390/rs13061198.
Повний текст джерелаSifa, Rafet, Anders Drachen, and Christian Bauckhage. "Large-Scale Cross-Game Player Behavior Analysis on Steam." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 11, no. 1 (June 24, 2021): 198–204. http://dx.doi.org/10.1609/aiide.v11i1.12804.
Повний текст джерелаYunesian, Masud, Alireza Mesdaghinia, Ali Moradi, and Javad Homayoun Vash. "Drivers' Knowledge, Attitudes, and Behavior: A Cross-Sectional Study." Psychological Reports 102, no. 2 (April 2008): 411–17. http://dx.doi.org/10.2466/pr0.102.2.411-417.
Повний текст джерелаДисертації з теми "Cross-scale knowledge"
Melo, André [Verfasser], and Heiko [Akademischer Betreuer] Paulheim. "Automatic refinement of large-scale cross-domain knowledge graphs / André Melo ; Betreuer: Heiko Paulheim." Mannheim : Universitätsbibliothek Mannheim, 2018. http://d-nb.info/1167160584/34.
Повний текст джерелаMelo, André Verfasser], and Heiko [Akademischer Betreuer] [Paulheim. "Automatic refinement of large-scale cross-domain knowledge graphs / André Melo ; Betreuer: Heiko Paulheim." Mannheim : Universitätsbibliothek Mannheim, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:180-madoc-459801.
Повний текст джерелаOcampo, Mascaró Javier, Salazar Vera Jimena Silva, and Costa Bullón Abilio da. "Correlación entre conocimientos sobre consecuencias de la obesidad y grado de actividad física en universitarios." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2015. http://hdl.handle.net/10757/621624.
Повний текст джерела"Knowledge management, a resource-based perspective: scale development and cross validation." 2004. http://library.cuhk.edu.hk/record=b5892068.
Повний текст джерелаThesis (M.Phil.)--Chinese University of Hong Kong, 2004.
Includes bibliographical references (leaves 80-89).
Abstracts in English and Chinese.
Chapter Chapter 1 --- Introduction
Chapter 1.1 --- Background --- p.1
Chapter 1.2 --- Research Objective --- p.4
Chapter 1.3 --- Outline of This Study --- p.4
Chapter Chapter 2 --- Backgrounds and Previous Research
Chapter 2.1 --- The Resource-based View and the Environmental Models --- p.5
Chapter 2.2 --- The Resource-based View and Knowledge --- p.6
Chapter Chapter 3 --- Conceptualization of KM
Chapter 3.1 --- Knowledge --- p.8
Chapter 3.2 --- Knowledge Management --- p.11
Chapter 3.2.1 --- Technological Perspective --- p.11
Chapter 3.2.2 --- Human Perspective --- p.12
Chapter 3.2.3 --- Process-oriented Perspective --- p.13
Chapter 3.2.4 --- Intellectual Capital Perspective --- p.14
Chapter 3.2.5 --- "Confluence of Definitions and the Components of KM," --- p.15
Chapter 3.3 --- Components of KM --- p.16
Chapter 3.3.1 --- Organization Culture --- p.21
Chapter 3.3.2 --- Structural Capital --- p.22
Chapter 3.3.3 --- Human Resource --- p.23
Chapter 3.3.4 --- Social Capital --- p.24
Chapter 3.3.5 --- Knowledge Acquisition --- p.25
Chapter 3.3.6 --- Knowledge Dissemination --- p.26
Chapter 3.3.7 --- Knowledge Application --- p.27
Chapter Chapter 4 --- Research Methodology
Chapter 4.1 --- Overview --- p.28
Chapter 4.2 --- Exploratory versus Confirmatory Factor Analysis --- p.28
Chapter 4.3 --- Item Generation and Content Validity --- p.29
Chapter 4.4 --- Pilot Study --- p.30
Chapter 4.5 --- Main Study --- p.34
Chapter 4.5.1 --- Sample and Data Collection --- p.34
Chapter 4.5.2 --- Scale Calibration and Validation --- p.41
Chapter 4.5.2.1 --- Dimensionality Assessment --- p.41
Chapter 4.5.2.2 --- Reliability Assessment --- p.47
Chapter 4.5.2.3 --- Validity Assessment --- p.48
Chapter 4.5.2.3.1 --- "Convergent Validity," --- p.48
Chapter 4.5.2.3.2 --- Discriminant Validity --- p.52
Chapter 4.5.2.3.3 --- Nomological Validity --- p.53
Chapter 4.5.2.3.4 --- "Cross-validation," --- p.56
Chapter 4.6. --- Comparison across Industries --- p.59
Chapter 4.6.1 --- Impact of KM on Business Performance --- p.59
Chapter 4.6.2 --- Level of KM exhibited across Industries --- p.67
Chapter 4.6.3 --- The Relative Importance of KM Components --- p.69
Chapter Chapter 5 --- Discussion
Chapter 5.1 --- Academic Contributions --- p.70
Chapter 5.2 --- Managerial Implications --- p.72
Chapter 5.3 --- Limitations and Future Research --- p.74
Appendix
Chapter A. --- Constitutive Definitions and Operative Definitions of each Dimension of KM --- p.76
Chapter B. --- (a) Items used in Pilot Study --- p.77
(b) Items of the Final Scales --- p.79
References --- p.80
Su, Cheng-Hung, and 蘇政宏. "Construction and Measurement for Knowledge Management Performance:A Cross-functional Scale Design and Empirical Survey." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/87533124996505462231.
Повний текст джерела義守大學
管理科學研究所
90
While the era of "knowledge economy" is being ignited, our practitioners and academicians begin to focus on the issues of knowledge management (KM). But after reviewing most of the KM literature, we may find that they tend to work on the "operational perspective" of KM, and neglect researching "strategic perspective (KS)". Moreover, most literature sorely explored the KM issues of those advantageous hi-tech industries, and failed to study the industries of different advantage stages, such as advantage- sustaining, advantage- transition, advantage- growing and advantage- declining industries. Besides, related literature in question still failed to construct and measure the Knowledge Performance (KP), and neglected to explore how the KM activities influence KP. Thus, this study attempts to work on the following topics: 1.This study will conduct "strategic perspectives" into the KM study, and explore how knowledge strategy (KS) will affect KP. 2.Since most KM articles tended to employ case study or small-scale survey as the objectives of study, this study uses larger-sample sampling to clarify the previous topics. This study attempts to construct and measure KP, and accordingly explores how the above issues influence KP. 3.This study not only takes those hi-tech industries as the samples, but also involve the industries that locate in different stages of advantage, i.e., advantage-sustaining, advantage-transition, advantage-growing and advantage-declining industries. It is reasonable to make a comparative study. The primary goal of this study is to understand the KP’s model, including the measurement and construction to point out the shortcomings of the present situation and to make suggestions for the future direction. After sampling Top 1000’s firms ranked by the Common Wealth Magazine and mailing out 600 questionnaires, this study presented a detailed analysis of its result with collected 23.83% of questionnaires, which were processed by SAS software, and obtained the findings as follows. The attributes of knowledge strategy have come to an evident correlation with knowledge performance. As for the performances of the four functions this study explores, strong correlation with knowledge performance are also found in human resource, production, and R&D, except in marketing. Besides, there is only partly difference between the attributes of knowledge strategy among the industries that locate in different stages, and no correlation with the difference of knowledge performance. Further, the study also presents some research suggestions as reference for the future researchers in business and academic circles. Hopefully, it may bring contribution towards academic and practical concerns through extensive exploration of knowledge management and clarification for the correlation between knowledge performance and functional performance of enterprises.
Книги з теми "Cross-scale knowledge"
Halvorsen, Tor, Hilde Ibsen, and Vyvienne RP M’kumbuzi. Knowledge for a Sustainable World: A Southern African-Nordic contribution. African Minds, 2015. http://dx.doi.org/10.47622/9781928331049.
Повний текст джерелаHalvorsen, Tor, Hilde Ibsen, Henri-Count Evans, and Sharon Penderis. Knowledge for Justice: Critical Perspectives from Southern African-Nordic Research Partnerships. African Minds, 2017. http://dx.doi.org/10.47622/9781928331636.
Повний текст джерелаPolanczyk, Guilherme V. Epidemiology. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198739258.003.0013.
Повний текст джерелаBiesel, Kay, Judith Masson, Nigel Parton, and Tarja Pösö, eds. Errors and Mistakes in Child Protection. Policy Press, 2020. http://dx.doi.org/10.1332/policypress/9781447350705.001.0001.
Повний текст джерелаConca, Ken, and Erika Weinthal, eds. The Oxford Handbook of Water Politics and Policy. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199335084.001.0001.
Повний текст джерелаEgedi, Barbara, and Veronika Hegedűs, eds. Functional Heads Across Time. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780198871538.001.0001.
Повний текст джерелаRamraj, Victor V., ed. Covid-19 in Asia. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197553831.001.0001.
Повний текст джерелаMcGreavy, Bridie, and David Hart. Sustainability Science and Climate Change Communication. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.563.
Повний текст джерелаHenry, Laura A., and Lisa McIntosh Sundstrom. Bringing Global Governance Home. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197530238.001.0001.
Повний текст джерелаErgas, Christina. Surviving Collapse. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197544099.001.0001.
Повний текст джерелаЧастини книг з теми "Cross-scale knowledge"
Pede, Elena. "Improving Resilience through Cross-Scale Knowledge Sharing." In Resilient Cities, 93–107. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76944-8_7.
Повний текст джерелаHe, Dehong, Song Wu, Jinpeng Liu, and Guoqiang Xiao. "Cross Transformer Network for Scale-Arbitrary Image Super-Resolution." In Knowledge Science, Engineering and Management, 633–44. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10986-7_51.
Повний текст джерелаSu, Yonghao, Chi Zhang, Jinyang Li, Chengyu Wang, Weining Qian, and Aoying Zhou. "Cross-Lingual Entity Query from Large-Scale Knowledge Graphs." In Web Technologies and Applications, 139–50. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-28121-6_13.
Повний текст джерелаLi, Yi, Yitao Duan, and Wei Xu. "PEM: A Practical Differentially Private System for Large-Scale Cross-Institutional Data Mining." In Machine Learning and Knowledge Discovery in Databases, 89–105. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71246-8_6.
Повний текст джерелаLi, Mingyang, Yao Shi, Zhigang Wang, and Yongbin Liu. "Building a Large-Scale Cross-Lingual Knowledge Base from Heterogeneous Online Wikis." In Natural Language Processing and Chinese Computing, 413–20. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25207-0_37.
Повний текст джерелаWang, Jingchu, Jianyi Liu, Feiyu Chen, Teng Lu, Hua Huang, and Jinmeng Zhao. "Cross-Knowledge Graph Entity Alignment via Neural Tensor Network." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 66–74. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_8.
Повний текст джерелаKuenkel, Petra. "Setting the Scene: How to Enhance the Knowledge and Practice of Transformation Literacy." In Transformation Literacy, 221–34. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93254-1_15.
Повний текст джерелаAlania, Victor, Alessandro Tibaldi, Fabio L. Bonali, Onise Enukidze, and Elena Russo. "Structural Architecture of the Western Greater Caucasus Orogen: New Data from a Crustal-Scale Structural Cross-Section." In Building Knowledge for Geohazard Assessment and Management in the Caucasus and other Orogenic Regions, 59–71. Dordrecht: Springer Netherlands, 2021. http://dx.doi.org/10.1007/978-94-024-2046-3_5.
Повний текст джерелаYan, Peng, and Wei Jin. "Improving Cross-Document Knowledge Discovery Through Content and Link Analysis of Wikipedia Knowledge." In Transactions on Large-Scale Data- and Knowledge-Centered Systems XXI, 161–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-47804-2_8.
Повний текст джерелаAlhamzeh, Alaa, Előd Egyed-Zsigmond, Dorra El Mekki, Abderrazzak El Khayari, Jelena Mitrović, Lionel Brunie, and Harald Kosch. "Empirical Study of the Model Generalization for Argument Mining in Cross-Domain and Cross-Topic Settings." In Transactions on Large-Scale Data- and Knowledge-Centered Systems LII, 103–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-66146-8_5.
Повний текст джерелаТези доповідей конференцій з теми "Cross-scale knowledge"
Li, Mingyong, and Hongya Wang. "Unsupervised Deep Cross-Modal Hashing by Knowledge Distillation for Large-scale Cross-modal Retrieval." In ICMR '21: International Conference on Multimedia Retrieval. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3460426.3463626.
Повний текст джерелаAbu Helou, Mamoun, and Matteo Palmonari. "Multi-user Feedback for Large-scale Cross-lingual Ontology Matching." In 9th International Conference on Knowledge Engineering and Ontology Development. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0006503200570066.
Повний текст джерелаLiang, Zhehan, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, and Junzhou Huang. "Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding." In CIKM '21: The 30th ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3459637.3482310.
Повний текст джерелаCiravegna, F., and S. Staab. "Large scale cross-media knowledge acquisition, sharing and reuse in X-media." In 2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology (EWIMT 2005). IET, 2005. http://dx.doi.org/10.1049/ic.2005.0764.
Повний текст джерелаViana Soares, Elizabeth, Pedro Henrique Saramago de Lima, and Eduardo Augusto da Silva Erthal Pinto. "Functionality in the ICU in neurological patients-What we found in the evaluation?" In 7th International Congress on Scientific Knowledge. Biológicas & Saúde, 2021. http://dx.doi.org/10.25242/8868113820212403.
Повний текст джерелаHuang, Xin, Yuxin Peng, and Mingkuan Yuan. "Cross-modal Common Representation Learning by Hybrid Transfer Network." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/263.
Повний текст джерелаShi, Yuan. "Using Domain Knowledge for Low Resource Named Entity Recognition." In 11th International Conference on Embedded Systems and Applications (EMSA 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120625.
Повний текст джерелаLi, Tian, Xiang Chen, Zhen Dong, Kurt Keutzer, and Shanghang Zhang. "Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/585.
Повний текст джерелаYu, Mengshi, Jian Liu, Yufeng Chen, Jinan Xu, and Yujie Zhang. "Cross-Domain Slot Filling as Machine Reading Comprehension." 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.2021/550.
Повний текст джерелаZhu, Ziye, Yun Li, Hanghang Tong, and Yu Wang. "CooBa: Cross-project Bug Localization via Adversarial Transfer Learning." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/493.
Повний текст джерелаЗвіти організацій з теми "Cross-scale knowledge"
Tulloch, Olivia, Tamara Roldan de Jong, and Kevin Bardosh. Data Synthesis: COVID-19 Vaccine Perceptions in Sub-Saharan Africa: Social and Behavioural Science Data, March 2020-April 2021. Institute of Development Studies (IDS), May 2021. http://dx.doi.org/10.19088/sshap.2028.
Повний текст джерелаNagahi, Morteza, Raed Jaradat, Mohammad Nagahisarchoghaei, Ghodsieh Ghanbari, Sujan Poudyal, and Simon Goerger. Effect of individual differences in predicting engineering students' performance : a case of education for sustainable development. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40700.
Повний текст джерелаTulloch, Olivia, Tamara Roldan de Jong, and Kevin Bardosh. Data Synthesis: COVID-19 Vaccine Perceptions in Africa: Social and Behavioural Science Data, March 2020-March 2021. Institute of Development Studies (IDS), May 2021. http://dx.doi.org/10.19088/sshap.2021.030.
Повний текст джерелаWozniakowska, P., D. W. Eaton, C. Deblonde, A. Mort, and O. H. Ardakani. Identification of regional structural corridors in the Montney play using trend surface analysis combined with geophysical imaging, British Columbia and Alberta. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328850.
Повний текст джерела