Academic literature on the topic 'Webpage'

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Journal articles on the topic "Webpage"

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Liu, Jie, Ling Bai, and Xiang Yang Huang. "A Method Shielding the Chinese Game Webpage Based on Ontology." Advanced Materials Research 219-220 (March 2011): 1454–58. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.1454.

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As online gaming addiction has a serious impact on the healthy growth of young people, this paper presents a method that uses the ontology to shield Chinese game webpage. This method, based on positive example webpages and counter example webpages to calculate weight of feature words, to establish domain feature thesaurus and make ontology; then according to positive example WebPages, calculate weight of ontology elements in all parts of webpage to get ontology element weight database; then intercept webpage from the network application layer, identify candidate webpage (candidate) based on do
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Wang, Dong Mei, Ming Ma, and Yan Sun. "Sensitive Webpage Filter Based on Multiple Filtering." Applied Mechanics and Materials 241-244 (December 2012): 2891–96. http://dx.doi.org/10.4028/www.scientific.net/amm.241-244.2891.

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In order to improve the accuracy and real-time performance of webpage filtering, a sensitive webpage filter based on multiple filtering was designed. Firstly, the URL is gained from IE browser’s address bar by BHO technology; Secondly, match the webpage text with sensitive vocabulary database using SMA algorithm; Finally, use the sensitive image detecting algorithm combing face detection, skin detection, skin text detection and classification to filter sensitive images in the webpage. The Simulation experimental results showed that the sensitive webpage filter can effectively intercept and fil
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Yi, WANG, and DENG Jiamin. "A Technical Communication Approach to Website Technical Translation of Chongqing Manufacturing Enterprises: A Case Study of About Us." Asia-Pacific Journal of Humanities and Social Sciences 2, no. 3 (2022): 130–43. http://dx.doi.org/10.53789/j.1653-0465.2022.0203.016.p.

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In the era of globalization and internetization, a growing number of manufacturing enterprises in Chongqing plan to “go global”. The enterprise webpage, the online portal of the enterprise, plays an important role. At present, domestic translators’ understanding of webpage translation is still limited to text translation due to the influence of traditional translation ideas, resulting in poor readability and usability of English webpages of Chongqing manufacturing enterprises. Therefore, this paper compares the English webpages of local manufacturing enterprises in Chongqing with those of well
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Feng, Jian, Yuqiang Qiao, Ou Ye, and Ying Zhang. "Detecting phishing webpages via homology analysis of webpage structure." PeerJ Computer Science 8 (February 1, 2022): e868. http://dx.doi.org/10.7717/peerj-cs.868.

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Phishing webpages are often generated by phishing kits or evolved from existing kits. Therefore, the homology analysis of phishing webpages can help curb the proliferation of phishing webpages from the source. Based on the observation that phishing webpages belonging to the same family have similar page structures, a homology detection method based on webpage clustering according to structural similarity is proposed. The method consists of two stages. The first stage realizes model construction. Firstly, it extracts the structural features and style attributes of webpages through the document
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Belfedhal, Alaa Eddine. "Multi-Modal Deep Learning for Effective Malicious Webpage Detection." Revue d'Intelligence Artificielle 37, no. 4 (2023): 1005–13. http://dx.doi.org/10.18280/ria.370422.

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The pervasive threat of malicious webpages, which can lead to financial loss, data breaches, and malware infections, underscores the need for effective detection methods. Conventional techniques for detecting malicious web content primarily rely on URL-based features or features extracted from various webpage components, employing a single feature vector input into a machine learning model for classifying webpages as benign or malicious. However, these approaches insufficiently address the complexities inherent in malicious webpages. To overcome this limitation, a novel Multi-Modal Deep Learni
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Xu, Shanshan. "The Study of Interpersonal Function of Yellow River Culture Tourism Webpage from the Perspective of the Appraisal Theory." Higher Education and Practice 2, no. 1 (2025): 67–73. https://doi.org/10.62381/h251111.

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With the development of multimedia technology, people’s channels for obtaining tourism information have undergone tremendous changes, and the tourism webpage has become an important window for them to understand Yellow River culture, and it is also the fastest and most convenient information carrier for communication with tourism product sellers. Taking the interpersonal function construction as the perspective, the evaluation theory as the framework, the Yellow River cultural tourism webpage and the foreign cultural tourism webpage as the research object, this paper builds its own corpus, and
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Wang, Yilin, Siqing Xue, and Jun Song. "A Malicious Webpage Detection Method Based on Graph Convolutional Network." Mathematics 10, no. 19 (2022): 3496. http://dx.doi.org/10.3390/math10193496.

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In recent years, with the rapid development of the Internet and information technology, video websites, shopping websites, and other portals have grown rapidly. However, malicious webpages can disguise themselves as benign websites and steal users’ private information, which seriously threatens network security. Current detection methods for malicious webpages do not fully utilize the syntactic and semantic information in the web source code. In this paper, we propose a GCN-based malicious webpage detection method (GMWD), which constructs a text graph to describe and then a GCN model to learn
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Yuk, Simun, and Youngho Cho. "A Time-Based Dynamic Operation Model for Webpage Steganography Methods." Electronics 9, no. 12 (2020): 2113. http://dx.doi.org/10.3390/electronics9122113.

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The webpage steganography technique has been used for a covert communication method for various purposes in which a sender embeds a secret message into a plain webpage file like an HTML file by using various steganography methods. With human eyes, it is very difficult to distinguish between the original webpage (cover webpage) and the modified webpage with the secret data (stego webpage) because both are displayed alike in a web browser. In this approach, when two communicating entities want to share a secret message, a sender uploads a stego webpage to a web server or modifies an existing web
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Yuan, Xiao Yan. "Research on Search Sorting Algorithm Based on Multi-Dimensional Matching." Advanced Materials Research 926-930 (May 2014): 3195–99. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.3195.

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Since the current search sorting algorithms cannot find the desirable webpages quickly and accurately, a novel search sorting algorithm based on multi-dimensional matching is proposed in this study. This algorithm computes the semantic similarity of search terms based on ontology concept, and then the relevance of temporal information of those search terms with time of webpage. As a result, the relevance of the search term with the content of the webpage is calculated, hence realizing most appropriate webpage sorting. Finally, several methods are compared in terms of their average precisions a
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Jayalakshmi, N., P. Padmaja, and G. Jaya Suma. "Webpage Recommendation System Using Interesting Subgraphs and Laplace Based k-Nearest Neighbor." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 03 (2019): 2053003. http://dx.doi.org/10.1142/s0218001420530031.

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An interesting research area that permits the user to mine the significant information, called frequent subgraph, is Graph-Based Data Mining (GBDM). One of the well-known algorithms developed to extract frequent patterns is GASTON algorithm. Retrieving the interesting webpages from the log files contributes heavily to various applications. In this work, a webpage recommendation system has been proposed by introducing Chronological Cuckoo Search (Chronological-CS) algorithm and the Laplace correction based k-Nearest Neighbor (LKNN) to retrieve the useful webpage from the interesting webpage. In
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Dissertations / Theses on the topic "Webpage"

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Lo, Kwok Chu. "Partial mobile webpage adaptation /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20LO.

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Deng, Liqiong. "Beyond usability -- affect in web browsing." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1829.

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Park, Sunyoung. "Webpage design optimization using genetic algorithm driven CSS." [Ames, Iowa : Iowa State University], 2007.

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Van, Trien Do. "Supporting webpage revisiting with history data and visualization." Thesis, University of Leeds, 2013. http://etheses.whiterose.ac.uk/4883/.

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This research addresses the general topic of “keeping found things found” by investigating difficulties people encounter when revisiting webpages. The overall aim of the research is to design, develop and evaluate a web history tool that addresses these difficulties. An empirical study has been conducted. Participants recorded their web navigation for three months using a Firefox add-on. Each participant then took part in a controlled laboratory experiment, to revisit webpages they had visited neither frequently (on only one day) nor recently (1 week or 1 month ago). Ten underlying causes of f
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Law, Marc Teva. "Distance metric learning for image and webpage comparison." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066019/document.

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Cette thèse se focalise sur l'apprentissage de distance pour la comparaison d'images ou de pages Web. Les distances (ou métriques) sont exploitées dans divers contextes de l'apprentissage automatique et de la vision artificielle tels que la recherche des k plus proches voisins, le partitionnement, les machines à vecteurs de support, la recherche d'information/images, la visualisation etc. Nous nous intéressons dans cette thèse à l'apprentissage de fonction de distance paramétrée par une matrice symétrique semi-définie positive. Ce modèle, appelé (par abus) apprentissage de distance de Mahalano
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Law, Marc Teva. "Distance metric learning for image and webpage comparison." Electronic Thesis or Diss., Paris 6, 2015. http://www.theses.fr/2015PA066019.

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Cette thèse se focalise sur l'apprentissage de distance pour la comparaison d'images ou de pages Web. Les distances (ou métriques) sont exploitées dans divers contextes de l'apprentissage automatique et de la vision artificielle tels que la recherche des k plus proches voisins, le partitionnement, les machines à vecteurs de support, la recherche d'information/images, la visualisation etc. Nous nous intéressons dans cette thèse à l'apprentissage de fonction de distance paramétrée par une matrice symétrique semi-définie positive. Ce modèle, appelé (par abus) apprentissage de distance de Mahalano
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Lund, Karen L. "Utilizing a comprehensive webpage to improve science classroom performance." Montana State University, 2011. http://etd.lib.montana.edu/etd/2011/lund/LundK0811.pdf.

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The purpose of this study was to improve student classroom performance through the use of a detailed chemistry webpage. Students utilized a monthly assignment calendar with links to all classroom materials. Links to additional chemistry resources for review and reinforcement were also available to assist both present as well as absent students in their learning. Results indicate that the treatment increased assessment scores and improved student learning behaviors.
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Keppel, David P. "Adverse advertising : the impact advertisements have on webpage content retention /." Online version of thesis, 2009. http://hdl.handle.net/1850/10850.

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RYDMARK, MIKAEL. "Faster Loading of Websites : Strategies for optimizing loading of webpage components." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-156250.

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When loading a webpage on the Internet it is desirable that it loads as quickly as possible. This master thesis presents several strategies to try and improve the response time of a webpage by optimizing the loading of its component. The tests conducted in this master thesis showedthat using compression will significantly improve the response time of a webpage and using caching for static components will greatly improve the response time for repeated visits of a webpage.<br>När en webbsida laddas på Internet är det önskvärt att det går så fortsom möjligt att ladda sidan. Den här rapporten redo
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Fang, Yu-Lin. "Taiwanese-American computer professionals as facilitators of their children's webpage creation /." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488193665235094.

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Books on the topic "Webpage"

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1970-, Wang Jianmin, ed. Wang ye mei shu she ji: Webpage Design. He bei mei shu chu ban she, 2001.

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Fan, Kuan Liang. developing an interactive webpage with ASP or CGI & Organiser (online organiser). Oxford Brookes University, 2001.

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Bouzid, Mohamed. Webpack for Beginners. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5896-5.

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Zotov, Valerij Ûr'evič. Proektirovanie cifrovyh ustrojstv na osnove plis firmy XILINX v SAPR WebPACK ISE. Gorâčaâ liniâ - Telekom, 2003.

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Gifford, Clive. WebPage Design. Hachette Children's Group, 2017.

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BDG. Mastering WebPage 2nd Edition. BDG Publishing Inc., 1998.

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Graduate School FCU: Official webpage. Kriistopher, 2011.

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Bug, De. Static Webpage on S3 II. Independently Published, 2020.

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WebPage Fundamentals with FrontPage '98. Prentice Hall, 1998.

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Inc. Staff Wiley and Sons. Webpage Design for CSC 125. Wiley & Sons, Incorporated, John, 2001.

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Book chapters on the topic "Webpage"

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Rennie, Frank, and Keith Smyth. "Webpage." In Digital Learning: The Key Concepts, 2nd ed. Routledge, 2019. http://dx.doi.org/10.4324/9780429425240-222.

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Shen, Chengyao, and Qi Zhao. "Webpage Saliency." In Computer Vision – ECCV 2014. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10584-0_3.

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Fan, Xiangyu, Jilong Yang, Wei Zhao, Jincheng Deng, and Fangming Liu. "Webpage Tampering Detection Method Based on BiGRU-CRF-RCNN." In Communications in Computer and Information Science. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8285-9_8.

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AbstractWith the development of the Internet, cyber security events occur frequently, especially webpage tampering events account for a high proportion. In response to this phenomenon, this paper constructs a webpage tampering detection framework BCR. Based on the webpage to be detected, the webpage text data is segmented and extracted according to the webpage structure, the text features are extracted by using BiGRU model combined with context dependence, and then combined with the CRF to learn sequence state labeling named entities, the word vector is constructed by the extracted named entit
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Elbers, Willem, and Theo van der Weide. "Optimizing WebPage Interest." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04417-5_33.

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Skula, Ivan, and Marek Kvet. "Phishing Webpage Longevity." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60328-0_21.

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Krishna, Kushagra, Jaytrilok Choudhary, and Dhirendra Pratap Singh. "Malicious Webpage Classification." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76736-5_36.

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Plaut, Ethan. "Vandalize a Webpage." In The Routledge Handbook of Remix Studies and Digital Humanities. Routledge, 2021. http://dx.doi.org/10.4324/9780429355875-23.

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Klein, David C., and Steven L. Coon. "The Pineal Transcriptome Webpage." In Melatonin. Springer US, 2022. http://dx.doi.org/10.1007/978-1-0716-2593-4_17.

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Zheng, Quanlong, Jianbo Jiao, Ying Cao, and Rynson W. H. Lau. "Task-Driven Webpage Saliency." In Computer Vision – ECCV 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01264-9_18.

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Deng, Qiong, Huajun Huang, Liangmin Pan, Shuang Pang, and Jiaohua Qin. "A Phishing Webpage Detecting Algorithm Using Webpage Noise and N-Gram." In Cloud Computing and Security. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48671-0_15.

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Conference papers on the topic "Webpage"

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Yagi, Kota, Katsuki Isobe, Daishi Kondo, and Hideki Tode. "Impact of DANE on Webpage Load Time." In 2024 20th International Conference on Network and Service Management (CNSM). IEEE, 2024. https://doi.org/10.23919/cnsm62983.2024.10814301.

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Miniukovich, Aliaksei, and Antonella De Angeli. "Webpage Aesthetics." In NordiCHI '16: 9th Nordic Conference on Human-Computer Interaction. ACM, 2016. http://dx.doi.org/10.1145/2971485.2971544.

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Zhu, Jun, Bo Zhang, Zaiqing Nie, Ji-Rong Wen, and Hsiao-Wuen Hon. "Webpage understanding." In the 13th ACM SIGKDD international conference. ACM Press, 2007. http://dx.doi.org/10.1145/1281192.1281288.

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Dong-Liang Lee, Sheng-Yuan Yang, and Chun-Liang Hsu. "Ontology-Supported Webpage Classifier for Scholar’s Webpages in Ubiquitous Information Environment." In 2008 First IEEE International Conference on Ubi-media Computing (U-Media 2008). IEEE, 2008. http://dx.doi.org/10.1109/umedia.2008.4570947.

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Thirumaran, M., R. P. Karthikeyan, and V. Rathaamani. "Phishing Website Detection Using Natural Language Processing and Deep Learning Algorithm." In International Research Conference on IOT, Cloud and Data Science. Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-4oja18.

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Due to rapid growth of the internet most of the people started using internet through mobile and web apps to satisfy their needs. Such as online shopping and banking. Under OWSAP top 10 vulnerabilities, sensitive data exposure is one of the common threats that is identified in recent years and phishing is found to be a key source. Sensitive data exposure is majorly occurring in the internet using various phishing techniques and phishing is found to be a key sources of data stealing. Attackers, not only targeted the financial sectors and e-commerce industries, also in the field of defense and s
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Tate, Ryan, Gregory Conti, and Edward Sobiesk. "Automated webpage evaluation." In the 2nd annual conference. ACM Press, 2013. http://dx.doi.org/10.1145/2512209.2512220.

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Dai, Yimeng, Rui Zhang, and Jianzhong Qi. "Automatic Webpage Briefing." In 2021 IEEE 37th International Conference on Data Engineering (ICDE). IEEE, 2021. http://dx.doi.org/10.1109/icde51399.2021.00152.

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Liu, Lijuan. "Research on Webpage Text Extraction Integrating Webpage Structure and Role." In ACAI 2022: 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence. ACM, 2022. http://dx.doi.org/10.1145/3579654.3579761.

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Wang, Chong, Achir Kalra, Cristian Borcea, and Yi Chen. "Revenue-Optimized Webpage Recommendation." In 2015 IEEE International Conference on Data Mining Workshop (ICDMW). IEEE, 2015. http://dx.doi.org/10.1109/icdmw.2015.215.

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Van Acker, Steven, Daniel Hausknecht, and Andrei Sabelfeld. "Measuring login webpage security." In SAC 2017: Symposium on Applied Computing. ACM, 2017. http://dx.doi.org/10.1145/3019612.3019798.

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Reports on the topic "Webpage"

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Lee, Hye Young. LASNCE webpage document. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1544652.

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Mu, Ruihui, and Xiaoqin Zeng. Improved Webpage Classification Technology Based on Feedforward Backpropagation Neural Network. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2018. http://dx.doi.org/10.7546/crabs.2018.09.11.

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LaForce, Tara, Jens Bartol, Dirk-Alexander Becker, et al. DECOVALEX-2023 Task F2-Salt Final Report for DECOVALEX webpage. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2430083.

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Maddux, Gary A. MRDEC Webpage Operation and Maintenance Services for the Purpose of Data Distribution of Missile Technology and Analyses. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada368505.

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Junghans, A., S. S. Westerdale, and P. Dimitriou. (alpha,n) Nuclear Data Evaluations and Data Needs. IAEA Nuclear Data Section, 2024. http://dx.doi.org/10.61092/iaea.d2d0-encd.

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The second IAEA Technical Meeting addressing (α,n) data needs for applications spanning reactor operation and safeguards, nonproliferation and spent fuel management, low-background experiments, and nuclear astrophysics was organized by the IAEA from 27 November to 1 December 2023. Fifty-six participants from thirteen Member States attended the virtual event. Participants reviewed the progress in (α,n) measurements, models, codes and evaluated libraries since the previous meeting of 2021. A summary of the presentations, technical discussions and recommendations is given in this report. The pres
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Westerdale, S. S., A. Junghans, R. J. deBoer, M. Pigni, and P. Dimitriou. Summary Report of the Technical Meeting on (alpha,n) Nuclear Data Evaluations and Data Needs. IAEA Nuclear Data Section, 2022. http://dx.doi.org/10.61092/iaea.vdj4-pakp.

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A Technical Meeting addressing (α,n) data needs for applications spanning reactor operation and safeguards, nonproliferation and spent fuel management, low-background experiments, and nuclear astrophysics was organised by the IAEA from 8 to 12 November 2021. Over 60 participants from fifteen Member States attended the virtual event. Participants reviewed the status of (α,n) measurements, models, codes and evaluated libraries with a view to identifying the gaps in the above areas and proposing the necessary actions to address them and produce reliable (α,n) data for the applications. A summary
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Kaffenberger, Michelle, and Jason Silberstein. Descriptive Learning Trajectories and Policy Simulations Using MICS6 Data. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsgrise-misc_2022/05.

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In recent years, scholars associated with the RISE Programme have analysed learning trajectories using a variety of global datasets to shed light on the global learning crisis and diagnose what might help address it (Crouch, Kaffenberger, and Savage, 2021). For those who may want to build and analyse learning trajectories, this note acts as a methodological guide for doing so using an important new dataset on foundational learning, the Multiple Indicator Cluster Surveys Round 6 (MICS6). We have applied the methods described in this note and, in partnership with the Global Education Monitoring
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Kaffenberger, Michelle, and Jason Silberstein. Descriptive Learning Trajectories and Policy Simulations Using MICS6 Data. Research on Improving Systems of Education (RISE), 2022. http://dx.doi.org/10.35489/bsg-rise-misc_2022/05.

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In recent years, scholars associated with the RISE Programme have analysed learning trajectories using a variety of global datasets to shed light on the global learning crisis and diagnose what might help address it (Crouch, Kaffenberger, and Savage, 2021). For those who may want to build and analyse learning trajectories, this note acts as a methodological guide for doing so using an important new dataset on foundational learning, the Multiple Indicator Cluster Surveys Round 6 (MICS6). We have applied the methods described in this note and, in partnership with the Global Education Monitoring
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Harbitz, Mia Elisabeth. The Civil Registry: A Neglected Dimension of International Development. Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0009117.

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The right to a name and nationality is not only one of the most fundamental human rights but also a requirement to access to basic and essential services such as health and education. This right is exercised through an effective and universal civil registration. It also allows for reliable vital statistics and higher levels of transparency and efficacy that provides the foundation for inclusive public policies, especially social programs. Thus civil registry, legal identity and identity management (Id-M) are central elements for social and economic development. On the international stage, the
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Gregory, Elizabeth. Field Epidemiology Training Program (FETP) — Frontline 3.0: Using a One Health Approach. National Center for Health Statistics (U.S.), 2025. https://doi.org/10.15620/cdc/175829.

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"From the letter by Dr. Benjamin Park: “On behalf of the U.S. Centers for Disease Control and Prevention (CDC), it is our privilege to present the third version of the Field Epidemiology Training Program (FETP)—Frontline 3.0. This document reflects our shared commitment to strengthening public health systems worldwide by building the capacity of frontline health workers to rapidly detect, respond to, and contain health threats, now with an increased emphasis on a One Health approach. One Health is a collaborative, multisectoral, and transdisciplinary approach—working at the local, regional, na
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