Literatura académica sobre el tema "MOBILE COMPUTING MODEL"
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Artículos de revistas sobre el tema "MOBILE COMPUTING MODEL"
Jararweh, Yaser, Lo’ai Tawalbeh, Fadi Ababneh, Abdallah Khreishah y Fahd Dosari. "Scalable Cloudlet-based Mobile Computing Model". Procedia Computer Science 34 (2014): 434–41. http://dx.doi.org/10.1016/j.procs.2014.07.051.
Texto completoWojarnik, Grzegorz. "MODEL OF MOBILE DATA SYNCHRONIZATION WITHIN CLOUD COMPUTING SERVICES". Zeszyty Naukowe Uniwersytetu Szczecińskiego. Studia Informatica 44 (2017): 63–72. http://dx.doi.org/10.18276/si.2017.44-06.
Texto completoMora, Higinio, Francisco J. Mora Gimeno, María Teresa Signes-Pont y Bruno Volckaert. "Multilayer Architecture Model for Mobile Cloud Computing Paradigm". Complexity 2019 (11 de febrero de 2019): 1–13. http://dx.doi.org/10.1155/2019/3951495.
Texto completoAlakbarov, R. G. "Model of Optimal Placement of Cloudlets in a Wireless Metropolitan Area Network". Informacionnye Tehnologii 29, n.º 4 (18 de abril de 2023): 182–88. http://dx.doi.org/10.17587/it.29.182-188.
Texto completoEl-Sofany, Hosam y Samir Abou El-Seoud. "A Novel Model for Securing Mobile-based Systems against DDoS Attacks in Cloud Computing Environment". International Journal of Interactive Mobile Technologies (iJIM) 13, n.º 01 (29 de enero de 2019): 85. http://dx.doi.org/10.3991/ijim.v13i01.9900.
Texto completoHan, Songyue, Dawei Ma, Chao Kang, Wei Huang, Chaoying Lin y Chunyuan Tian. "Optimization of Mobile Edge Computing Offloading Model for Distributed Wireless Sensor Devices". Journal of Sensors 2022 (28 de febrero de 2022): 1–9. http://dx.doi.org/10.1155/2022/9047737.
Texto completoSun, Chang Li, Chang Liu y Dan Shi. "Study on the Architecture of Mobile Campus Digital Library System". Applied Mechanics and Materials 608-609 (octubre de 2014): 425–29. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.425.
Texto completoPham, Hai Son, Hoang Son Le y The Anh Hoang. "Propose technology and management model of mobile cloud computing for the Vietnam national digital transformation program". Ministry of Science and Technology, Vietnam 65, n.º 8 (25 de agosto de 2023): 35–39. http://dx.doi.org/10.31276/vjst.65(8).35-39.
Texto completoP., Pavithra y Balamurugan K. "Enhanced Secure Big Data in Distributed Mobile Cloud Computing Using Fuzzy Encryption Model". Bonfring International Journal of Software Engineering and Soft Computing 8, n.º 2 (30 de abril de 2018): 21–25. http://dx.doi.org/10.9756/bijsesc.8391.
Texto completoJiang, Weijin, Yang Wang, Yirong Jiang, Yuhui Xu, Jiahui Chen, Lina Tan y Guo Liang. "Mobile Internet Mobile Agent System Dynamic Trust Model for Cloud Computing". Computers, Materials & Continua 62, n.º 1 (2020): 123–36. http://dx.doi.org/10.32604/cmc.2020.05933.
Texto completoTesis sobre el tema "MOBILE COMPUTING MODEL"
Brander, William. "A model for adaptive multimodal mobile notification". Thesis, Nelson Mandela Metropolitan University, 2007. http://hdl.handle.net/10948/699.
Texto completoMomin, Kaleem A. "A transaction execution model for mobile computing environments". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0017/MQ54939.pdf.
Texto completoVieira, André Fonseca dos Santos Dias. "Context-aware personalization environment for mobile computing". Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8649.
Texto completoCurrently, we live in a world where the amount of on-line information vastly outstrips any individual’s capability to survey it. Filtering that information in order to obtain only useful and interesting information is a solution to this problem. The mobile computing area proposes to integrate computation in users’ daily activities in an unobtrusive way, in order to guarantee an improvement in their experience and quality of life. Furthermore, it is crucial to develop smaller and more intelligent devices to achieve this area’s goals, such as mobility and energy savings. This computing area reinforces the necessity to filter information towards personalization due to its humancentred paradigm. In order to attend to this personalization necessity, it is desired to have a solution that is able to learn the users preferences and needs, resulting in the generation of profiles that represent each style of interaction between a user and an application’s resources(e.g. buttons and menus). Those profiles can be obtained by using machine learning algorithms that use data derived from the user interaction with the application, combined with context data and explicit user preferences. This work proposes an environment with a generic context-aware personalization model and a machine learning module. It is provided the possibility to personalize an application, based on user profiles obtained from data, collected from implicit and explicit user interaction. Using a provided personalization API (Application Programming Interface) and other configuration modules, the environment was tested on LEY (Less energy Empowers You), a persuasive mobile-based serious game to help people understand domestic energy usage.
Frank, Christopher E. "An Egocentric Spatial Data Model for Intelligent Mobile Geographic Information Systems". Fogler Library, University of Maine, 2003. http://www.library.umaine.edu/theses/pdf/FrankCE2003.pdf.
Texto completoChen, Jiajun. "Understanding consumers' acceptance of mobile payments : a theoretical model and empirical validation". Thesis, University of Portsmouth, 2007. https://researchportal.port.ac.uk/portal/en/theses/understanding-consumers-acceptance-of-mobile-payments(5b1ab076-9225-40cb-8e48-ea620ad1d512).html.
Texto completoal, Nabhan Mohammad Mousa. "Adaptive, reliable, and accurate positioning model for location-based services". Thesis, Brunel University, 2009. http://bura.brunel.ac.uk/handle/2438/3963.
Texto completoTaheriMonfared, Aryan. "Securing the IaaS Service Model of Cloud Computing Against Compromised Components". Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for telematikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13439.
Texto completoAbdul, Rehman Bin Omer. "Mobile Edge Computing Clustering Algorithms for Pedestrian Mobility Scenarios". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.
Buscar texto completoPather, Direshin. "A model for context awareness for mobile applications using multiple-input sources". Thesis, Nelson Mandela Metropolitan University, 2015. http://hdl.handle.net/10948/2969.
Texto completoNtawanga, Felix Fred. "A context-aware model to improve usability of information presented on mobile devices". Thesis, Nelson Mandela Metropolitan University, 2014. http://hdl.handle.net/10948/d1020768.
Texto completoLibros sobre el tema "MOBILE COMPUTING MODEL"
Bagchi, Susmit. Ubiquitous multimedia and mobile agents: Models and implementations. Hershey, PA: Information Science Reference, 2012.
Buscar texto completoBraun, Peter. Mobile agents: Basic concepts, mobility models, and the Tracy toolkit. San Francisco, CA: Elsevier, 2005.
Buscar texto completoAman, Bogdan. Mobility in Process Calculi and Natural Computing. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.
Buscar texto completoMilner, R. Communicating and mobile systems: The [symbol for pi]-calculus. New York: Cambridge University Press, 1999.
Buscar texto completoCOORDINATION 2010 (2010 Amsterdam, Netherlands). Coordination models and languages: 12th international conference, COORDINATION 2010, Amsterdam, The Netherlands, June 7-9, 2010 : proceedings. Berlin: Springer, 2010.
Buscar texto completoMobile Cloud Computing: Foundations and Service Models. Elsevier Science & Technology Books, 2017.
Buscar texto completoHuang, Dijiang y Huijun Wu. Mobile Cloud Computing: Foundations and Service Models. Elsevier Science & Technology Books, 2017.
Buscar texto completoCommunication Models in Mobile Computing Systems and Mobile Agents. Storming Media, 2000.
Buscar texto completoQiu, Meikang y Keke Gai. Mobile Cloud Computing: Models, Implementation, and Security. Taylor & Francis Group, 2017.
Buscar texto completoQiu, Meikang y Keke Gai. Mobile Cloud Computing: Models, Implementation, and Security. Taylor & Francis Group, 2017.
Buscar texto completoCapítulos de libros sobre el tema "MOBILE COMPUTING MODEL"
Liang, Hongbin, Dijiang Huang y Daiyuan Peng. "On Economic Mobile Cloud Computing Model". En Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 329–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29336-8_22.
Texto completoJiang, Weijin, Yirong Jiang, Yang Wang, Jiahui Chen, Yuhui Xu y Li’na Tan. "Mobile Internet Mobile Agent System Dynamic Trust Model for Cloud Computing". En Human Centered Computing, 169–80. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15127-0_17.
Texto completoYang, Cungang y Chang N. Zhang. "A Privacy Enhanced Role-Based Access Control Model for Enterprises". En Networking and Mobile Computing, 1012–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11534310_106.
Texto completoJiang, Weijin y Yuhui Xu. "Research on Mobile User Dynamic Trust Model Based on Mobile Agent System". En Human Centered Computing, 538–49. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74521-3_56.
Texto completoPatil, Rachana Yogesh y Manjiri Arun Ranjanikar. "A New Network Forensic Investigation Process Model". En Mobile Computing and Sustainable Informatics, 139–46. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1866-6_9.
Texto completoLin, Wei, Yongtian Yang y Shuqin Zhang. "A Computational Reputation Model in P2P Networks Based on Trust and Distrust". En Networking and Mobile Computing, 501–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11534310_54.
Texto completoMadria, Sanjay Kumar, Mukesh Mohania y John F. Roddick. "Approximate Query Processing Model for Mobile Computing". En Information Organization and Databases, 207–19. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-1379-7_15.
Texto completoJiang, Wei-Jin, Jia-Hui Chen, Yu-Hui Xu y Yang Wang. "Mobile Agent-Based Mobile Intelligent Business Security Transaction Model". En Computer Supported Cooperative Work and Social Computing, 50–65. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3044-5_4.
Texto completoLiu, Xian y Yupo Chan. "Performance Analysis of Route Discovery in Wireless Ad Hoc Networks: A Unified Model". En Networking and Mobile Computing, 314–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11534310_35.
Texto completoKomiya, Takao y Makoto Takizawa. "Mobile Agent Model for Fault-Tolerant Objects Systems". En Cooperative Internet Computing, 22–36. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0435-1_2.
Texto completoActas de conferencias sobre el tema "MOBILE COMPUTING MODEL"
du Toit, Jaco y Ian Ellefsen. "A model for secure mobile computing". En 2015 Science and Information Conference (SAI). IEEE, 2015. http://dx.doi.org/10.1109/sai.2015.7237299.
Texto completoLin, Qing y Yulei Huang. "A Cost-effective Mobile Edge Computing Model". En Proceedings of the 2018 2nd International Conference on Economic Development and Education Management (ICEDEM 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icedem-18.2018.77.
Texto completoZeroual, Abdelhakim, Mohamed Amroune, Makhlouf Derdour, Abdallah Meraoumia y Atef Bentahar. "Deep authentication model in Mobile Cloud Computing". En 2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS). IEEE, 2018. http://dx.doi.org/10.1109/pais.2018.8598508.
Texto completoEnnya, Zainab, Moulay Youssef Hadi y Amine Abouaomar. "Computing Tasks Distribution in Fog Computing: Coalition Game Model". En 2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM). IEEE, 2018. http://dx.doi.org/10.1109/wincom.2018.8629587.
Texto completoBondarchuk, Aleksandr P., Pavel V. Abramov, Svetlana M. Bogdanova y Denis M. Filatov. "Mobile Robot Model Predictive Control Model". En 2022 XXV International Conference on Soft Computing and Measurements (SCM). IEEE, 2022. http://dx.doi.org/10.1109/scm55405.2022.9794835.
Texto completoBelli, Dimitri, Stefano Chessa, Luca Foschini y Michele Girolami. "Enhancing Mobile Edge Computing Architecture with Human-Driven Edge Computing Model". En 2018 14th International Conference on Intelligent Environments (IE). IEEE, 2018. http://dx.doi.org/10.1109/ie.2018.00023.
Texto completoXu Wu. "A distributed trust model for mobile computing environments". En 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658581.
Texto completoXiaodong Zhang, Dianhui Chu y Yongdong Xu. "Design and research on mobile computing service model". En 2010 International Conference on Advanced Intelligence and Awareness Internet (AIAI 2010). IET, 2010. http://dx.doi.org/10.1049/cp.2010.0773.
Texto completoSuh, Wonho. "Graphical Analysis of Mobile Computing Traffic Simulation Model". En 2013 International Conference on IT Convergence and Security (ICITCS). IEEE, 2013. http://dx.doi.org/10.1109/icitcs.2013.6717839.
Texto completoWang, Changxu, Na Jiang y Libao Chen. "Dynamic model distributing optimization for Mobile Edge Computing". En 2021 International Conference on Computers and Automation (CompAuto). IEEE, 2021. http://dx.doi.org/10.1109/compauto54408.2021.00012.
Texto completoInformes sobre el tema "MOBILE COMPUTING MODEL"
Tkachuk, Viktoriia V., Vadym P. Shchokin y Vitaliy V. Tron. The Model of Use of Mobile Information and Communication Technologies in Learning Computer Sciences to Future Professionals in Engineering Pedagogy. [б. в.], noviembre de 2018. http://dx.doi.org/10.31812/123456789/2668.
Texto completoCorum, Zachary, Ethan Cheng, Stanford Gibson y Travis Dahl. Optimization of reach-scale gravel nourishment on the Green River below Howard Hanson Dam, King County, Washington. Engineer Research and Development Center (U.S.), abril de 2022. http://dx.doi.org/10.21079/11681/43887.
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