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Gotowe bibliografie tematyczne / User profile

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Gotowa bibliografia na temat „User profile”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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Artykuły w czasopismach na temat "User profile"

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CASTELLANO, GIOVANNA, CIRO CASTIELLO, DANILO DELL'AGNELLO, ANNA MARIA FANELLI, CORRADO MENCAR, and MARIA ALESSANDRA TORSELLO. "LEARNING FUZZY USER PROFILES FOR RESOURCE RECOMMENDATION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 18, no. 04 (2010): 389–410. http://dx.doi.org/10.1142/s0218488510006611.

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Recommender systems are systems capable of assisting users by quickly providing them with relevant resources according to their interests or preferences. The efficacy of a recommender system is strictly connected with the possibility of creating meaningful user profiles, including information about user preferences, interests, goals, usage data and interactive behavior. In particular, analysis of user preferences is important to predict user behaviors and make appropriate recommendations. In this paper, we present a fuzzy framework to represent, learn and update user profiles. The representati

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K.R.Ananthapadmanaban, Author, and S. K. Srivatsa. "Personalisation of User Profile: Creating User Profile Ontology for Tamilnadu Tourism." International Journal of Computer Applications 23, no. 8 (2011): 42–47. http://dx.doi.org/10.5120/2903-3808.

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Grida, Mohamed, Lamiaa Fayed, and Mohamed Hassan. "User Profile: Theoretical Background." International Journal of Engineering Trends and Technology 68, no. 8 (2020): 10–17. http://dx.doi.org/10.14445/22315381/ijett-v68i8p203s.

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Petersen, Francoise, Giovanni Bartolomeo, and Mike Pluke. "Personalization and User Profile Management." International Journal of Interactive Mobile Technologies (iJIM) 2, no. 4 (2008): 25. http://dx.doi.org/10.3991/ijim.v2i4.666.

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Personalization and effective user profile management will be critical to meet the individual usersâ?? needs and for achieving e-Inclusion and e-Accessibility. This paper outlines means to achieve the goal of the new ICT era where services and devices can be personalized by the users in order to meet their needs and preferences, in various situations. Behind every instance of personalization is a profile that stores the user preferences, context of use and other information that can be used to deliver a user experience tailored to their individual needs and preferences. Next Generation Network

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Ambika, Mani, and K. Latha. "Intelligence Based User Profile Generation." Applied Mechanics and Materials 573 (June 2014): 618–23. http://dx.doi.org/10.4028/www.scientific.net/amm.573.618.

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Web intelligence provides a platform that empowers internet users to determine the most appropriate and best information for their interests. It provides the ability to sense and adapt to the needs and preference of the user. The recent advancements have made it conceivable to capture the users experience and interactions with web. Consequently predicting users behaviors will expedite and enhance browsing experience. This paper proposes an intelligent approach for making the web more powerful by predicting the conduct of individual users. The main goal is to implicitly construct user profiles

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Eyharabide, Victoria, and Analía Amandi. "Ontology-based user profile learning." Applied Intelligence 36, no. 4 (2011): 857–69. http://dx.doi.org/10.1007/s10489-011-0301-4.

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Zeng, Wenjing, Rui Tang, Haizhou Wang, Xingshu Chen, and Wenxian Wang. "User Identification Based on Integrating Multiple User Information across Online Social Networks." Security and Communication Networks 2021 (May 25, 2021): 1–14. http://dx.doi.org/10.1155/2021/5533417.

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User identification can help us build more comprehensive user information. It has been attracting much attention from academia. Most of the existing works are profile-based user identification and relationship-based user identification. Due to user privacy settings and social network restrictions on user data crawl, user data may be missing or incomplete in real social networks. User data include profiles, user-generated contents (UGCs), and relationships. The features extracted in previous research may be sparse. In order to reduce the impact of the above problems on user identification, we p

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Proença, Mailson de Queiroz, Vivian Genaro Motti, Kamila Rios da Hora Rodrigues, and Vânia Paula de Almeida Neris. "Coping with Diversity - A System for End-users to Customize Web User Interfaces." Proceedings of the ACM on Human-Computer Interaction 5, EICS (2021): 1–27. http://dx.doi.org/10.1145/3457151.

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To address diverse interaction needs of heterogeneous users' groups, user interfaces must be flexible to accommodate for customization that are specific to each user profile. Although, existing web interfaces provide some flexibility, some problems still remain: a) manual adjustments carried out by end users are required for each web application; b) the flexibility provided by current web interfaces is insufficient to address diverse interaction needs of various users' profiles and c) few users are aware about such options to customize the presentation of web interfaces. To contribute to the c

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Iggui, Taous, Hassina Nacer, Youcef Sklab, and Taklit Ait Radi. "Web Application for User Profiling." International Journal of Information Systems in the Service Sector 8, no. 2 (2016): 44–56. http://dx.doi.org/10.4018/ijisss.2016040104.

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User's profiles play an important role when information systems try to meet their needs. This work presents a novel approach to build user profiles. It is based on information extraction techniques and proceeds by iterative steps. The use of different statistic metrics, Natural Language Processing (NLP) techniques and semantic descriptions (ontologies) in the authors' approach, has provided it with a good precision degree when extracting information from texts. This has been demonstrated by an application prototype which is an automatic user profile constructor, using the texts of emails job a

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Schöggl-Ernst, Elisabeth. "The Change of User Profile in the Styrian Provincial Archives." Atlanti 26, no. 2 (2016): 13–22. http://dx.doi.org/10.33700/2670-451x.26.2.13-22(2016).

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Various external and internal factors influence the user profile of an archive. The acquisitions policy of an archive is a basis for the formation of particular user groups. Shifting research themes in history and related disciplines can also be included as a reason for user profiles changing in an archive. This article examines the user profiles of the Styrian Provincial Archive over the last two decades and discusses the various causes of change.

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Rozprawy doktorskie na temat "User profile"

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Boc, Michaël Mathias. "Profile of mobility : user-centric networking." Paris 6, 2009. http://www.theses.fr/2009PA066355.

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Limam, Lyes. "Usage-driven unified model for user profile and data source profile extraction." Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0058/document.

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La problématique traitée dans la thèse s’inscrit dans le cadre de l’analyse d’usage dans les systèmes de recherche d’information. En effet, nous nous intéressons à l’utilisateur à travers l’historique de ses requêtes, utilisées comme support d’analyse pour l’extraction d'un profil d’usage. L’objectif est de caractériser l’utilisateur et les sources de données qui interagissent dans un réseau afin de permettre des comparaisons utilisateur-utilisateur, source-source et source-utilisateur. Selon une étude que nous avons menée sur les travaux existants sur les modèles de profilage, nous avons conc

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Johansson, Ida, and Stina Johansson. "Users from a role perspective : A model to provide a user-centered system development process." Thesis, Linköping University, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8925.

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<p>Today there exist several systems that lack usability. The reasons are, among others, the pressure to add more features in the system, but also that focus has been earlier on technology and functionality. It becomes more important to think of the user, so that systems can be more usable. By focusing on the user, the user experience can enhance, which results in more satisfied users.</p><p>User involvement in the system development process is one way to learn and receive information about the user. There are several ways of doing that. One way is to create user portraits from existing user m

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Oelofse, Christina Hermiena. "The learner profile of a teenage cell phone user." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-07102009-160407.

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Kacem, Sahraoui Ameni. "Personalized information retrieval based on time-sensitive user profile." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30111/document.

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Les moteurs de recherche, largement utilisés dans différents domaines, sont devenus la principale source d'information pour de nombreux utilisateurs. Cependant, les Systèmes de Recherche d'Information (SRI) font face à de nouveaux défis liés à la croissance et à la diversité des données disponibles. Un SRI analyse la requête soumise par l'utilisateur et explore des collections de données de nature non structurée ou semi-structurée (par exemple : texte, image, vidéo, page Web, etc.) afin de fournir des résultats qui correspondent le mieux à son intention et ses intérêts. Afin d'atteindre cet ob

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Nadee, Wanvimol. "Modelling user profiles for recommender systems." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/93723/1/Wanvimol_Nadee_Thesis.pdf.

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Recommender systems assist users in finding what they want. The challenging issue is how to efficiently acquire user preferences or user information needs for building personalized recommender systems. This research explores the acquisition of user preferences using data taxonomy information to enhance personalized recommendations for alleviating cold-start problem. A concept hierarchy model is proposed, which provides a two-dimensional hierarchy for acquiring user preferences. The language model is also extended for the proposed hierarchy in order to generate an effective recommender algorith

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Mahmood, Omer. "ADAPTIVE PROFILE DRIVEN DATA CACHING AND PREFETCHING IN MOBILE ENVIRONMENT." Thesis, The University of Sydney, 2005. http://hdl.handle.net/2123/714.

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This thesis describes a new method of calculating data priority by using adaptive mobile user and device profiles which change with user location, time of the day, available networks and data access history. The profiles are used for data prefetching, selection of most suitable wireless network and cache management on the mobile device in order to optimally utilize the device's storage capacity and available bandwidth. Some of the inherent characteristics of mobile devices due to user movements are – non-persistent connection, limited bandwidth and storage capacity, changes in mobile device's

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Mahmood, Omer. "ADAPTIVE PROFILE DRIVEN DATA CACHING AND PREFETCHING IN MOBILE ENVIRONMENT." University of Sydney. Information Technologies, 2005. http://hdl.handle.net/2123/714.

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This thesis describes a new method of calculating data priority by using adaptive mobile user and device profiles which change with user location, time of the day, available networks and data access history. The profiles are used for data prefetching, selection of most suitable wireless network and cache management on the mobile device in order to optimally utilize the device�s storage capacity and available bandwidth. Some of the inherent characteristics of mobile devices due to user movements are �non-persistent connection, limited bandwidth and storage capacity, changes in mobile device�s g

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Lal, Neeraj. "Enhancing Location-Based Content Delivery Through Semi-Automated Generation of User Profile." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1293731843.

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Chukala, Sileshi. "A Move Towards Practicability : Context Information and User Profile Management for the SensibleThings Platform." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-29365.

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Achievements in academia and industry indicate a move towards the creation of a giant smart system including objects of different sizes, shapes, and purposes where the Internet will be so diverse and more resourceful with the incorporation of different smart devices. Mid Swe-den University took a first step towards providing an appropriate plat-form for Internet of Things applications known as SensibleThings for the emerging intercommunication of “objects”, called Internet of Things. The SensibleThings platform has produced components for sharing sensor-based context information on the Interne

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Książki na temat "User profile"

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Profile, FT, ed. FT Profile Business Information user manual. FT Profile, 1991.

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Computer Systems Laboratory (U.S.), ed. The user interface component of the applications portability profile. Computer Systems Laboratory, National Institute of Standards and Technology, 1994.

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David, Saunders, and Ames Research Center, eds. PROFILE: Airfoil geometry manipulation and display : user's guide. National Aeronautics and Space Administration, Ames Research Center, 1997.

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George C. Marshall Space Flight Center., ed. User's guide for monthly vector wind profile model. National Aeronautics and Space Administration, Marshall Space Flight Center, 1999.

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Clift, Laurence. Ergonomics evaluation into the safety of stepladders: User profile and dynamic testing phase 2. HSE, 2002.

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Batjes, N. H. World inventory of soil emission potentials, Wise 2.1: Profile database user manual and coding protocols. International Soil Reference and Information Centre, 1995.

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Moller, Rosa Maria. Profile of California computer and internet users. California State Library, California Research Bureau, 2000.

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Boland, Tim. Government Open Systems Interconnection Profile users' guide. U.S. Dept. of Commerce, National Institute of Standards and Technology, 1989.

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Boland, Tim. Government open systems interconnection profile users' guide. National Institute of Standards and Technology, 1989.

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Boland, Tim. Government open systems interconnection profile users' guide. U.S. Dept. of Commerce, National Institute of Standards and Technology, 1989.

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Części książek na temat "User profile"

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Weik, Martin H. "user profile." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_20606.

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Hu, Lantao, Yueting Li, Guangfan Cui, and Kexin Yi. "User Profile." In Industrial Recommender System. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-2581-6_3.

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Weik, Martin H. "station user profile." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_18206.

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Weik, Martin H. "workstation user profile." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_21222.

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Weik, Martin H. "operator-user profile." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_12916.

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Weik, Martin H. "system operator-user profile." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_18910.

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Catrinescu, Vlad, and Trevor Seward. "Configuring the User Profile Service." In Deploying SharePoint 2016. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-1999-7_7.

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Catrinescu, Vlad, and Trevor Seward. "Configuring the User Profile Service." In Deploying SharePoint 2019. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4526-2_7.

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Barišić, Ankica, and Marco Winckler. "Towards User Profile Meta-Ontology." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61688-4_6.

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Kuflik, Tsvi, Bracha Shapira, Yuval Elovici, and Adlai Maschiach. "Privacy Preservation Improvement by Learning Optimal Profile Generation Rate." In User Modeling 2003. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44963-9_23.

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Streszczenia konferencji na temat "User profile"

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Gatziolis, Kleanthis, and Anthony C. Boucouvalas. "User profile extraction engine." In PCI '16: 20th Pan-Hellenic Conference on Informatics. ACM, 2016. http://dx.doi.org/10.1145/3003733.3003761.

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Park, Sung-Hyuk, Ho-Jin Lee, Sang-Pil Han, and Dong-Hoon Lee. "User Age Profile Assessment Using SMS Network Neighbors' Age Profiles." In 2009 International Conference on Advanced Information Networking and Applications Workshops (WAINA). IEEE, 2009. http://dx.doi.org/10.1109/waina.2009.136.

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Chen Yu, Yu Yang, Zhang Wei, and Shen Junyi. "Analyzing User Behavior History for constructing user profile." In 2008 IEEE International Symposium on IT in Medicine and Education (ITME). IEEE, 2008. http://dx.doi.org/10.1109/itme.2008.4743884.

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Ouaftouh, Sara, Ahmed Zellou, and Ali Idri. "User profile model: A user dimension based classification." In 2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA). IEEE, 2015. http://dx.doi.org/10.1109/sita.2015.7358378.

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Tripathy, Amiya Kumar, and Royston Olivera. "UProRevs-User Profile Relevant Results." In 10th International Conference on Information Technology (ICIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/icit.2007.39.

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Flores, Marcel, and Aleksandar Kuzmanovic. "Synthoid: Endpoint User Profile Control." In 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2014. http://dx.doi.org/10.1109/wi-iat.2014.104.

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Xu, Yuyang, and Bing Li. "Sentiment Classification Incorporating User Profile." In 2017 4th International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2017. http://dx.doi.org/10.1109/icisce.2017.144.

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Wischenbart, Martin, Stephan Lechner, Stefan Mitsch, et al. "User profile integration made easy." In the 21st international conference companion. ACM Press, 2012. http://dx.doi.org/10.1145/2187980.2188227.

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Tripathy, Amiya Kumar, and Royston Olivera. "UProRevs-User Profile Relevant Results." In 10th International Conference on Information Technology (ICIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/icoit.2007.4418311.

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Labriji, Amine, Salma Charkaoui, Issam Abdelbaki, and Abdelwahed Namir. "User interest center based on a semantic user profile." In 2016 5th International Conference on Multimedia Computing and Systems (ICMCS). IEEE, 2016. http://dx.doi.org/10.1109/icmcs.2016.7905556.

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Raporty organizacyjne na temat "User profile"

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Spurgeon, Scott. Representative Beach Profile Generator. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46916.

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The purpose of this Coastal and Hydraulics Engineering Technical Note (CHETN) is to introduce an Esri ArcGIS Pro ArcPy Toolbox entitled “Representative Beach Profile Generator (RBPG)” that generates a single representative profile for a given study area based on elevation profiles. The toolbox aligns and averages input elevation profiles into a single profile based upon a chosen alignment feature. Furthermore, the toolbox allows the user to create maximum and minimum trapezoidal profile approximations for use within numerical models such as Storm-Induced BEAch CHange (SBEACH) and Beach-fx. Thi

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Tessin, T. SPI/UNIX user manual: Security Profile Inspector. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6845654.

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Zeilenga, K. SASLprep: Stringprep Profile for User Names and Passwords. RFC Editor, 2005. http://dx.doi.org/10.17487/rfc4013.

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Hilt, V., G. Camarillo, J. Rosenberg, and D. Worley. A User Agent Profile Data Set for Media Policy. RFC Editor, 2012. http://dx.doi.org/10.17487/rfc6796.

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Petrie, D. A Framework for Session Initiation Protocol User Agent Profile Delivery. Edited by S. Channabasappa. RFC Editor, 2011. http://dx.doi.org/10.17487/rfc6080.

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Bocci, M., L. Levrau, and D. Frost. MPLS Transport Profile User-to-Network and Network-to-Network Interfaces. RFC Editor, 2011. http://dx.doi.org/10.17487/rfc6215.

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Ultrasound Volume Blood Flow, Consensus QIBA Profile. Chair J. Brian Fowlkes, James Jago, and Oliver Kripfgans. American Institute of Ultrasound in Medicine (AIUM)/Radiological Society of North America (RSNA)/Quantitative Imaging Biomarkers Alliance (QIBA), 2024. https://doi.org/10.1148/qiba/20240105.

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A QIBA Profile is an implementation guide to generate a biomarker with an effective level of performance, mostly by reducing variability and bias in the measurement. The expected performance is expressed as Claims (Section 1.2). To achieve those claims, Actors (Manufacturers/Vendors/Field Service Engineers, Sonographers/Technologists, Physicians, Physicist/Clinical Engineer/QA manager, and Image Analysis Tools) must meet the Checklist Requirements (Section 3) covering Product Validation, Staff Qualification, Pre-delivery, Installation, Periodic QA, Subject Handling, Image Data Acquisition, Ima

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Witherspoon, T. T. FY 1997 Hanford telecommunication and informations system user profile, milestone IRM-097-003. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/325205.

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Malaret Baldo, Alfredo, and Manuel Martínez Miralles. Handbook to Profile Small Arms Ammunition in Armed Violence Settings. UNIDIR, 2020. http://dx.doi.org/10.37559/caap/20/asc/19.

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Focusing on ammunition flows and misuse can help reduce armed violence. There are several potential advantages to focusing on ammunition: unlike firearms, ammunition must be replenished once used and restricting its flow can therefore ‘starve firearms of oxygen’. Also, ammunition supply-chains tend to be shorter from transfer to use, increasing the scope for domestic policy to have an immediate effect reducing armed violence in urban environments. In short, improved research into ammunition flows and the dynamics enabling lethal outcomes can inform policy responses with potential to reduce fir

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Clement, Michael. Engineering With Nature website user guide. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43440.

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The Engineering With Nature (EWN) program is a high-profile effort that aims to deliver cost-effective, broadly beneficial solutions to natural re-source and sustainability challenges across the nation. A portion of this is accomplished through the use of the EWN website, which features news, podcasts, articles, and more. The content on the EWN website serves to educate and inform hundreds of visitors monthly. This content is generated and managed by EWN team members with web development experience, as it requires manually editing the website HTML and staging changes on a development server. W

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