Academic literature on the topic 'Feature management'

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Journal articles on the topic "Feature management"

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Gautham, Ram Rajendiran. "A Feature Flag Framework for Toggling Features in Warehouse Management Systems." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 10, no. 1 (2024): 1–7. https://doi.org/10.5281/zenodo.13949856.

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Feature flagging is a very useful technique for evaluating and optimizing feature performance in software systems. In software systems with complex features, introducing a new feature by using the control and treatment mechanism will include multiple parameters that determine whether or not a particular treatment should be applied to the request. This paper explores the design of a methodology to pass in feature flags in the context of a Warehouse Management System to enable dynamic feature toggles based on the context of the request being processed. The framework uses modular strategies for c
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Hora, Parul, Neha Sheth, and Santosh K. Vishwakarma. "Disaster Management using Ontology Feature." International Journal of Computer Applications 183, no. 49 (2022): 6–9. http://dx.doi.org/10.5120/ijca2022921901.

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Lamprecht, Anna-Lena, Stefan Naujokat, and Ina Schaefer. "Variability Management beyond Feature Models." Computer 46, no. 11 (2013): 48–54. http://dx.doi.org/10.1109/mc.2013.299.

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Beuche, Danilo, Holger Papajewski, and Wolfgang Schröder-Preikschat. "Variability management with feature models." Science of Computer Programming 53, no. 3 (2004): 333–52. http://dx.doi.org/10.1016/j.scico.2003.04.005.

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Bitton, Etty. "Lubricity feature enhances SLK management." Contact Lens and Anterior Eye 38 (February 2015): e27-e28. http://dx.doi.org/10.1016/j.clae.2014.11.037.

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Lamke, Gene G. "A Journal Feature–Personnel Management." Recreational Sports Journal 16, no. 1 (1991): 12. http://dx.doi.org/10.1123/nirsa.16.1.12.

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Govier, Ian. "Feature." Nursing Management 10, no. 9 (2004): 13–15. http://dx.doi.org/10.7748/nm.10.9.13.s12.

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Chen, Siyao, Abhit Daiya, and Rubhrat Deb. "Machine learning and Feature Selection: Applications in Business Management." Journal of Economic Theory and Business Management 1, no. 6 (2024): 33–38. https://doi.org/10.70393/6a6574626d.323438.

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In recent years, we have a higher demand for machine learning models in the field of economics and business managment. We have a higher demand for quality of the features used for training. In this process, feature selection plays a key role in identifying the most meaningful features from a dataset while we perfrom various business tasks. Feature selection is not just a technical exercise; it also has profound implications for the transparency and explainability of machine learning models. This study aims to be a valuable resource for both academic and industry experts, offering insights that
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Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 22, no. 3 (1997): 111–24. http://dx.doi.org/10.1177/0256090919970312.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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Sarkar, Mitali. "Indian Management Research." Vikalpa: The Journal for Decision Makers 23, no. 3 (1998): 91–104. http://dx.doi.org/10.1177/0256090919980312.

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This section features abstracts of articles covering empirical studies, experiences, ideas, and theories published in Indian and international journals. Sponsored by the Indian Council of Social Science Research, New Delhi, this service is intended to facilitate Indian management research. Authors desirous of having their publications considered for inclusion in this feature may please send reprints of their articles to Vikalpa Editorial Office.
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Dissertations / Theses on the topic "Feature management"

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Schroeter, Julia. "Feature-based configuration management of reconfigurable cloud applications." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-141415.

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A recent trend in software industry is to provide enterprise applications in the cloud that are accessible everywhere and on any device. As the market is highly competitive, customer orientation plays an important role. Companies therefore start providing applications as a service, which are directly configurable by customers in an online self-service portal. However, customer configurations are usually deployed in separated application instances. Thus, each instance is provisioned manually and must be maintained separately. Due to the induced redundancy in software and hardware components, re
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Lord, Dale. "Relational Database for Visual Data Management." International Foundation for Telemetering, 2005. http://hdl.handle.net/10150/604893.

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ITC/USA 2005 Conference Proceedings / The Forty-First Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2005 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>Often it is necessary to retrieve segments of video with certain characteristics, or features, from a large archive of footage. This paper discusses how image processing algorithms can be used to automatically create a relational database, which indexes the video archive. This feature extraction can be performed either upon acquisition or in post processing. The database can then be queried to
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Luo, Xi. "Feature-based Configuration Management of Applications in the Cloud." Master's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-116674.

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The complex business applications are increasingly offered as services over the Internet, so-called software-as-a-Service (SaaS) applications. The SAP Netweaver Cloud offers an OSGI-based open platform, which enables multi-tenant SaaS applications to run in the cloud. A multi-tenant SaaS application is designed so that an application instance is used by several customers and their users. As different customers have different requirements for functionality and quality of the application, the application instance must be configurable. Therefore, it must be able to add new configurations into a m
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Duong, Hien D. "A Feature-Oriented Software Engineering Approach to Integrate ASSISTments with Learning Management Systems." Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-theses/862.

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"Object-Oriented Programming (OOP), in the past two decades, has become the most influential and dominant programming paradigm for developing large and complex software systems. With OOP, developers can rely on design patterns that are widely accepted as solutions for recurring problems and used to develop flexible, reusable and modular software. However, recent studies have shown that Objected-Oriented Abstractions are not able to modularize these pattern concerns and tend to lead to programs with poor modularity. Feature-Oriented Programming (FOP) is an extension of OOP that aims to improv
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Otepka, Johannes, Sajid Ghuffar, Christoph Waldhauser, Ronald Hochreiter, and Norbert Pfeifer. "Georeferenced Point Clouds: A Survey of Features and Point Cloud Management." MDPI AG, 2013. http://dx.doi.org/10.3390/ijgi2041038.

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This paper presents a survey of georeferenced point clouds. Concentration is, on the one hand, put on features, which originate in the measurement process themselves, and features derived by processing the point cloud. On the other hand, approaches for the processing of georeferenced point clouds are reviewed. This includes the data structures, but also spatial processing concepts. We suggest a categorization of features into levels that reflect the amount of processing. Point clouds are found across many disciplines, which is reflected in the versatility of the literature suggesting specific
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Mal-Sarkar, Sanchita. "Uncertainty Management of Intelligent Feature Selection in Wireless Sensor Networks." Cleveland State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=csu1268419387.

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Asghar, Muhammad Nabeel. "Feature based dynamic intra-video indexing." Thesis, University of Bedfordshire, 2014. http://hdl.handle.net/10547/338913.

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With the advent of digital imagery and its wide spread application in all vistas of life, it has become an important component in the world of communication. Video content ranging from broadcast news, sports, personal videos, surveillance, movies and entertainment and similar domains is increasing exponentially in quantity and it is becoming a challenge to retrieve content of interest from the corpora. This has led to an increased interest amongst the researchers to investigate concepts of video structure analysis, feature extraction, content annotation, tagging, video indexing, querying and r
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Beard, Ashley J. Sleath Betsy. "Cost as a feature of medication management communication in medical visits." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,2047.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2008.<br>Title from electronic title page (viewed Feb. 17, 2009). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Division of Pharmaceutical Outcomes and Policy." Discipline: Pharmaceutical Outcomes and Policy; Department/School: Pharmacy.
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Oliinyk, Olesia. "Applying Hierarchical Feature Modeling in Automotive Industry." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3820.

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Context. Variability management (VM) in automotive domain is a promising solution to reduction of complexity. Feature modeling, as starting point of VM, deals with analysis and representation of available features in terms of commonalities and variabilities. The work is done in the context of an automotive industry – Adam Opel AG. Objectives. This work studies the automotive specific problems with respect to feature modeling, investigates what decomposition and structuring approaches exist in literature, and which one of them satisfies the industrial requirements. The approach to feature model
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SAIBENE, AURORA. "A Flexible Pipeline for Electroencephalographic Signal Processing and Management." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/360550.

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L'elettroencefalogramma (EEG) fornisce registrazioni non-invasive delle attività e delle funzioni cerebrali sotto forma di serie temporali, a loro volta caratterizzate da una risoluzione temporale e spaziale (dipendente dai sensori), e da bande di frequenza specifiche per alcuni tipi di condizioni cerebrali. Tuttavia, i segnali EEG risultanti sono non-stazionari, cambiano nel tempo e sono eterogenei, essendo prodotti da differenti soggetti e venendo influenzati da specifici paradigmi sperimentali, condizioni ambientali e dispositivi. Inoltre, questi segnali sono facilmente soggetti a rumore e
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Books on the topic "Feature management"

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Ley, Michael. Ein Datenbankkern zur Speicherung variabel strukturierter Feature-Terme: Implementierungstechniken. Infix, 1993.

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Liu, Huan. Feature selection for knowledge discovery and data mining. Kluwer Academic, 1998.

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Huan, Liu. Feature selection for knowledge discovery and data mining. Kluwer Academic Publishers, 1998.

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1958-, Liu Huan, and Motoda Hiroshi, eds. Feature extraction, construction and selection: A data mining perspective. Kluwer Academic, 1998.

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Liu, Huan. Feature Extraction, Construction and Selection: A Data Mining Perspective. Springer US, 1998.

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Jensen, Richard. Computational intelligence and feature selection: Rough and fuzzy approaches. Wiley, 2008.

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American Water Works Association. Illinois Section. Illinois Section AWWA, Illinois EPA and Illinois Rural Water Assoc. presents double feature seminars coming soon to a location near you. [Illinois Environmental Protection Agency], 1993.

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Chursin, Aleksandr, and Milana Abueva. Innovation management. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1862682.

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The textbook is a comprehensive study of the development of the modern theory of innovation management. The fundamentals of the development of the general theory of innovation activity, the regulatory framework defining innovation activity at the present stage are outlined, the process of formation of innovative competencies is considered, the analysis of the main tools of innovation management, including innovative projects, is carried out. The methods of risk assessment in innovation activity are given and the issues of their management are considered. A distinctive feature of the textbook i
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Kizilov, Aleksandr. Accounting (management) accounting. Fundamentals of theory. Practical tasks. Tests. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1840852.

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The textbook contains questions of the theory of accounting (management) accounting, tasks for conducting practical classes on the course "Accounting (management) accounting".&#x0D; For the purposes of current control over the study of the material passed on all topics, tests are given to help students consolidate knowledge, and teachers find out the degree of assimilation of the subject.&#x0D; A distinctive feature of this publication is that the proposed material is presented not only by text, but also by drawings, diagrams that contribute to a more effective perception of the course being s
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Jones, Peter F. CAD/CAM: Features, Applications and Management. Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-22141-7.

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Book chapters on the topic "Feature management"

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Jiang, Ning, Jialiang Tang, Wenxin Yu, and Jinjia Zhou. "Local Feature Normalization." In Knowledge Science, Engineering and Management. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82147-0_19.

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Wu, ShuangXin, and Ji Kang Jia. "Feature Extraction Based on Improved Feature Weighting Algorithm." In Recent Trends in Decision Science and Management. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3588-8_81.

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Chouaib, Hassan, Florence Cloppet, and Nicole Vincent. "Combination of Single Feature Classifiers for Fast Feature Selection." In Advances in Knowledge Discovery and Management. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02999-3_7.

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Niu, Gang. "Statistic Feature Extraction." In Data-Driven Technology for Engineering Systems Health Management. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2032-2_5.

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Niu, Gang. "Feature Selection Optimization." In Data-Driven Technology for Engineering Systems Health Management. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2032-2_6.

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Du, Liang, and Yi-Dong Shen. "Joint Clustering and Feature Selection." In Web-Age Information Management. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38562-9_25.

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Chang, Edward Y. "Perceptual Feature Extraction." In Foundations of Large-Scale Multimedia Information Management and Retrieval. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20429-6_2.

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Hinkka, Markku, Teemu Lehto, Keijo Heljanko, and Alexander Jung. "Structural Feature Selection for Event Logs." In Business Process Management Workshops. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74030-0_2.

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Christy, A., and G. Meera Gandhi. "Feature Selection and Clustering of Documents Using Random Feature Set Generation Technique." In Advances in Data Science and Management. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0978-0_6.

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Zhang, David, and Jane You. "Biometrics Feature Retrieval Using Palmprint Images." In Multimedia Information Retrieval and Management. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05300-3_18.

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Conference papers on the topic "Feature management"

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C, Pragyan K. "Requirements Copilot: Ambiguity Management in Feature Requests." In 2024 IEEE 32nd International Requirements Engineering Conference (RE). IEEE, 2024. http://dx.doi.org/10.1109/re59067.2024.00069.

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Adwaith Krishna, E. R., M. Varundev, Sidharth Surendran, and Lekha S. Nair. "Efficient Data Management through ML-Based Feature Extraction." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724008.

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Khor, Kok-Chin, Choo-Yee Ting, and Somnuk-Phon Amnuaisuk. "Forming an optimal feature set for classifying network intrusions involving multiple feature selection methods." In Knowledge Management (CAMP). IEEE, 2010. http://dx.doi.org/10.1109/infrkm.2010.5466923.

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Vieira, Ana Sofia. "Consistency Management in Feature-Based Parametric Design." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0237.

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Abstract One of the main problems to be solved in design-by-features is to preserve the semantic correctness of feature-based models. Currently, feature-based parametric design (FbPD) is being used as one of the most powerful approaches for solving this problem. In this paper, a fundamental principle of this approach is introduced. Three aspects stated, are: FbPD deals with functional design primitives, it solves the automatic generation of model variations, and it offers the basis for the development of a mechanism to check the semantic correctness of feature-based models. Several concepts fo
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Ovtcharova, Jivka, and Uwe Jasnoch. "Towards a Consistency Management in a Feature-Based Design." In ASME 1993 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/cie1993-0016.

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Abstract It is a common goal in the development of feature-based design systems to support users with extended facilities, such as comprehensive semantically correct feature-based models, conformability of tools to user requirements and to different applications, and communication via standardized interfaces. However, the current state of the art in feature-based design does not meet the most of these requirements, particularly the integration of design, reliability and maintainability of constraints. This paper presents recent research on design by features using the constraint satisfaction a
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Arman, Farshid, Arding Hsu, and Ming-Yee Chiu. "Feature management for large video databases." In IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, edited by Carlton W. Niblack. SPIE, 1993. http://dx.doi.org/10.1117/12.143638.

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Karmaker Santu, Shubhra Kanti, Parikshit Sondhi, and ChengXiang Zhai. "Generative Feature Language Models for Mining Implicit Features from Customer Reviews." In CIKM'16: ACM Conference on Information and Knowledge Management. ACM, 2016. http://dx.doi.org/10.1145/2983323.2983729.

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Zhao, Yunxue, Long Zhang, and Shijie Zheng. "Chinese Accent Detection Using Acoustic Feature Sets with Context Features." In International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2014). Atlantis Press, 2014. http://dx.doi.org/10.2991/lemcs-14.2014.228.

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Pan, Feng, Qiwe Gu, and Ben Niu. "A Regularization Framework for Feature Selection." In 2011 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2011. http://dx.doi.org/10.1109/iciii.2011.224.

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Chen, Yuling. "Visual secret sharing scheme based on image feature extraction." In International Conference on Information Management and Management Engineering. WIT Press, 2014. http://dx.doi.org/10.2495/imme140281.

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Reports on the topic "Feature management"

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Kramer, Mitchell. Campaign Management Feature Comparison Matrix. Patricia Seybold Group, 2003. http://dx.doi.org/10.1571/cm4-24-03cc.

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Bock, Geoffrey. Content Management Feature Comparison Matrix. Patricia Seybold Group, 2004. http://dx.doi.org/10.1571/cm4-8-04cc.

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Bock, Geoffrey. Content Management Feature Comparison Matrix. Patricia Seybold Group, 2003. http://dx.doi.org/10.1571/cm5-15-03cc.

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Bożek, Małgorzata. FILM PRODUCTION IN POLAND. STAGES: FROM AN IDEA TO THE SCREEN. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.50.11112.

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The Polish film system is characterized by a variety of forms. Michał Zabłocki, the author of the comprehensive study of the «Organization of the production of feature film in Poland», isolates two models of world cinema: a producer and a producer – director. The first one features the dominant role of the producer, which means the person who is responsible for the work of all the film departments – direction, cinematography, production management, scenography and costume design. The second one, the model which is still the most popular in Poland, assumes close cooperation between the producer
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Featu
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Shinde, Victor, G. Asok Kumar, Dheeraj Joshi, and Nikita Madan. Healthy Urban Rivers as a Panacea to Pandemic-Related Stress: How to Manage Urban Rivers. Asian Development Bank Institute, 2022. http://dx.doi.org/10.56506/vyqu8666.

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During the lockdown imposed due to the first wave of the coronavirus disease (COVID-19) pandemic, there were several media reports of citizens flouting the lockdown rules in the United States. Upon closer investigation it was found that the rules were flouted mostly so that people could spend time outdoors in natural environments. This exemplifies the role of the natural environment as a panacea to the mental stress created by pandemics. River ecosystems are perhaps the greatest natural feature of any city. Efficient management of urban rivers, therefore, is strongly correlated to crisis manag
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Sopein-Mann, Oluwafunmike, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Medicines Regulation in West Africa: Current State and Opportu-nities. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317443.

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Ndomondo-Sigonda et al. (2017) observed that there is scarcity of information on human resources (person-nel devoted to regulation of medicines) in the domain of medicines regulation in the sub-Saharan Africa (SSA). The published information on medicines regulation by the National Medicines Regulatory Authorities (NMRAs) in the Economic Community of West African States (ECOWAS) region are no longer current and consistent with the current realities in the NMRAs. In order to reveal this occurrence, show the trends that exist over the years and make appropriate recommendations, data were collecte
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Rana, Arnav, and Sanjay Tiku. PR-214-223806-R01 Guidance for Performing Engineering Critical Assessments for Dents on Natural Gas Pipelines. Pipeline Research Council International, Inc. (PRCI), 2023. http://dx.doi.org/10.55274/r0000044.

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This project builds on mechanical damage (MD) assessment and management tools, developed on behalf of Pipeline Research Council International (PRCI), Interstate Natural Gas Association of America (INGAA), Canadian Energy Pipeline Association (CEPA), American Petroleum Institute (API), other research organizations and individual pipeline operators and included in API RP 1183 [1]. These include dent shape, restraint condition and interacting feature characterization; operational maximum and cyclic internal pressure characterization, screening tools defining non-injurious dent shapes based on pip
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Renaud, Alexander, Michael Forte, Nicholas Spore, et al. Evaluation of Unmanned Aircraft Systems for flood risk management : results of terrain and structure assessments. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45000.

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The 2017 Duck Unmanned Aircraft Systems (UAS) Pilot Experiment was conducted by the US Army Engineer Research and Development Center (ERDC), Coastal and Hydraulics Laboratory, Field Research Facility (FRF), to assess the potential for different UAS to support US Army Corps of Engineers coastal and flood risk management. By involving participants from multiple ERDC laboratories, federal agencies, academia, and private industry, the work unit leads were able to leverage assets, resources, and expertise to assess data from multiple UAS. This report compares datasets from several UAS to assess the
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