Gotowe bibliografie tematyczne / App data

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „App data”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "App data"

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Naga, Satya Praveen Kumar Yadati. "Exploring Identity Confusion Vulnerabilities in App-in-App Ecosystems." European Journal of Advances in Engineering and Technology 8, no. 8 (2021): 105–9. https://doi.org/10.5281/zenodo.13325681.

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This paper delves into identity confusion vulnerabilities within app-in-app ecosystems, a critical yet understudied area in mobile security. These vulnerabilities stem from flawed identity checks in WebView, leading to severe consequences such as unauthorized access to sensitive APIs and user data manipulation. We investigate 47 popular super-apps and reveal that all are susceptible to at least one type of identity confusion, categorized into domain name, app ID, and capability confusions. Our findings underscore the necessity for robust identity verification mechanisms and provide insights in
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Sattler, Florian, Alexander von Rhein, Thorsten Berger, Niklas Schalck Johansson, Mikael Mark Hardø, and Sven Apel. "Lifting inter-app data-flow analysis to large app sets." Automated Software Engineering 25, no. 2 (2017): 315–46. http://dx.doi.org/10.1007/s10515-017-0228-z.

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Nottrodt, Rachel, and Andrew Farke. "New data on the distal tarsals in Ornithomimidae." Acta Palaeontologica Polonica 66, no. 4 (2021): 789–96. https://doi.org/10.4202/app.00884.2021.

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Nottrodt, Rachel, Farke, Andrew (2021): New data on the distal tarsals in Ornithomimidae. Acta Palaeontologica Polonica 66 (4): 789-796, DOI: 10.4202/app.00884.2021, URL: http://dx.doi.org/10.4202/app.00884.2021
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Bradley, W. V., and H. Leverne Williams. "Prediction of stress–relaxation data of some nylons from stress–strain data." Journal of Applied Polymer Science 32, no. 1 (1986): 2889–95. http://dx.doi.org/10.1002/app.1986.070320105.

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Chin, Fhong Soon, Huei Teng Boon, Sek Tee Kian, Ling Jong Siat, Morsin Marlia, and A. Rahman Naszirul. "Bluetooth embedded digital ammeter with Android app data logging." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 3 (2020): 1400–1407. https://doi.org/10.11591/ijeecs.v18.i3.pp1400-1407.

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Monitoring current supplies to light emitting diode (LED) luminaires is one of the reliability tests performed manually. Bluetooth (HC-05) embedded digital ammeter was proposed to acquire currents of a badge of LED products and hence, quality can be assured. Android App was designed to remotely record the current supplies to the different models of LED products and checking if the current measured is within the allowed range. The current data can be further analysed to control the quality of the LED luminaires produced. The pass and fail-current range can be set in the digital ammeter for aler
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Ekambaranathan, Anirudh, Jun Zhao, and George Chalhoub. "Navigating the Data Avalanche." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, no. 2 (2023): 1–24. http://dx.doi.org/10.1145/3596267.

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This paper critically examines the intersection of privacy concerns in children's apps and the support required by developers to effectively address these concerns. Third-party libraries and software development kits (SDKs) are widely used in mobile app development, however, these libraries are commonly known for posing significant data privacy risks to users. Recent research has shown that app developers for children are particularly struggling with the lack of support in navigating the complex market of third-party SDKs. The support needed for developers to build privacy-friendly apps is lar
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KumarK.J, Latesh, Shwetha C. S, and Reshma M. "File App Data Protection via NFS." International Journal of Applied Information Systems 6, no. 4 (2013): 16–18. http://dx.doi.org/10.5120/ijais13-451037.

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Arambepola, Nimasha, and Lankeshwara Munasinghe. "Analyzing mobile app data demand and usage behavior in Sri Lanka." Journal of Multidisciplinary & Translational Research 9, no. 1 (2023): 54–64. http://dx.doi.org/10.4038/jmtr.v9i1.5.

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Owing to the rapid advancement of mobile computing, daily human practices have become more efficient and convenient. Consequently, the number of mobile app users has increased drastically over the last ten years, and a significant amount of energy is consumed by those mobile apps where the energy consumption depends on the data usage of the apps. Therefore, it is important to optimize data consumption to ensure sustainable digitalization. Mobile app personalization is one of the vital areas to optimize the data consumption of mobile apps. In this research, mobile app data usage and user experi
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Naveen, Koka. "Data Storage Codification for Enhanced Optimization." Journal of Scientific and Engineering Research 8, no. 6 (2021): 142–46. https://doi.org/10.5281/zenodo.12805341.

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In today's digital landscape, the integration of mobile applications with server systems presents both opportunities and challenges in data management. This symbiotic relationship necessitates seamless synchronization between mobile devices and servers, particularly in scenarios where internet connectivity fluctuates. Strategies such as Data Storage Codification for Enhanced Optimization offer a solution, enabling robust data storage and retrieval processes that remain functional even in offline settings. By leveraging mechanisms such as cloud document servers and unique identifiers, organizat
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Bradley, G. L., P. C. Chang, and G. B. Mckenna. "Rubber modeling using uniaxial test data." Journal of Applied Polymer Science 81, no. 4 (2001): 837–48. http://dx.doi.org/10.1002/app.1503.

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Rozprawy doktorskie na temat "App data"

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Faker, Faizel. "Mobile health data: investigating the data used by an mHealth app using different mobile app architectures." Master's thesis, Faculty of Science, 2018. http://hdl.handle.net/11427/31242.

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Mobile Health (mHealth) has come a long way in the last forty years and is still rapidly evolving and presenting many opportunities. The advancements in mobile technology and wireless mobile communication technology contributed to the rapid evolution and development of mHealth. Consequently, this evolution has led to mHealth solutions that are now capable of generating large amounts of data that is synchronised and stored on remote cloud and central servers, ensuring that the data is distributable to healthcare providers and available for analysis and decision making. However, the amount of da
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Frackelton, Alexandra. "Pedestrian transportation project prioritization incorporating app-collected sidewalk data." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50334.

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Planners and decision-makers recognize that non-motorized transportation provides environmental, economic, and public health benefits. Recent technology advances, such as the widespread use of mobile devices and geographic information systems, enable the collection of disaggregate built environment and travel behavior data. To integrate pedestrian planning into transport operations at local and regional scales, it is necessary to develop systems to rank and prioritize zones and corridors for pedestrian infrastructure investment. Best practices for pedestrian planning suggest that jurisdictions
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Strandberg, Li, and Ida Nyqvist. "Visualisering av vägdata i en AR-app." Thesis, KTH, Hälsoinformatik och logistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284227.

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I och med smarttelefonens intåg i våra liv har Augmented Reality (AR) kommit att bli en teknik i ropet. Många företag och utvecklare är intresserade av att undersöka dess potentiella användningsområden för just deras nisch. Men det är inte bara fantasin som sätter gränser - även hårdvaran. 2018 lanserades ARCore, en uppsättning utvecklingsverktyg för att bygga AR-appar för Android-smartmobiler. ARCore i sig har inte stöd för att bygga positionsbaserade appar, men i och med att smartmobiler och surfplattor är utrustade med GPS och kompass för att kunna avgöra sin position
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Fernández, Garcés Lidia. "T-REX PHACO: enabling PaaS application using Twelve-Factor App." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235711.

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In order to take advantage of the full-range of benefits of cloud computing, traditional applications should be adapted to conform with the cloud-native principles. In this work, a traditional Java enterprise application is transformed in a cloud-native application able to run in a Platform as a Service using cloud-related technologies (Docker, Kubernetes, OpenShift) and an automation server (Jenkins). The resulting application follows Twelve- Factor App methodology and cloud-native principles.<br>För att dra nytta av det omfattande utbudet av cloud computing, bör traditionella applikationer a
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Urban, Adam, David Hick, and Jörg Rainer Noennig. "Data4City – A Hyperlocal Citizen App." TUDpress, 2018. https://tud.qucosa.de/id/qucosa%3A33849.

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Exploring upon the phenomena of smart cities, this paper elaborates the potential of crowdsourced data collection in small scale urban quarters. The development of the Data4City (D4C) hyperlocal app – PinCity – is based on the idea of increasing the density of real-time information in urban areas (urban neighborhoods) in order to optimize or create innovative urban services (such as public transportation, garbage collection) or urban planning, thus improving the quality of life of quarter inhabitants as a long-term goal. The main principle of the app is the small-scale implementation, as oppos
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Martinez, Matthew, and Leon Phillip L. De. "Unsupervised Segmentation and Labeling for Smartphone Acquired Gait Data." International Foundation for Telemetering, 2016. http://hdl.handle.net/10150/624183.

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As the population ages, prediction of falls risk is becoming an increasingly important research area. Due to built-in inertial sensors and ubiquity, smartphones provide an at- tractive data collection and computing platform for falls risk prediction and continuous gait monitoring. One challenge in continuous gait monitoring is that signi cant signal variability exists between individuals with a high falls risk and those with low-risk. This variability increases the di cultly in building a universal system which segments and labels changes in signal state. This paper presents a method whi
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Händel, Ludwig, and Gustav Lindström. "Utvärdering av app-ramverk : En jämförelse av JavaScript-ramverken React Native och Ionic." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-222377.

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Denna uppsats beskriver arbetet av att jämföra och utvärdera JavaScript-ramverken React Native och Ionic, med avseende på utveckling av mobila applikationer och kriterierna prestanda, community, plugin och utvecklingsförmåga. Syftet var att jämföra React Native och Ionic för att ge ökad information och underlag vid val av JavaScript-ramverk kopplat till mobil applikationsutveckling. Kriterierna bestämdes genom en förstudie och validerades och rangordnades genom intervjuer med experter. Resultatet av denna uppsats blev väldigt jämnt med enbart ett fåtal poängs skillnad med fördel till Ionic.
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Nyqvist, Ida. "Visualisering av vägdata i en AR-app." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285059.

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I och med smarttelefonens intåg i våra liv har Augmented Reality (AR) kommit att bli en teknik i ropet. Många företag och utvecklare är intresserade av att undersöka dess potentiella användningsområden för just deras nisch. Men det är inte bara fantasin som sätter gränser - även hårdvaran.2018 lanserades ARCore, en uppsättning utvecklingsverktyg för att bygga AR-appar för Android-smartmobiler. ARCore i sig har inte stöd för att bygga positionsbaserade appar, men i och med att smartmobiler och surfplattor är utrustade med GPS och kompass för att kunna avgöra sin position och orientering, syftar
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Lama, Lisa. "FoodEd : Encouraging sustainable food waste practices through an informative app." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264574.

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Every year 1.6 billion tons of food is thrown away corresponding to one third of all the food that is roduced. It accounts for 8 % of the global greenhouse gas emission, meaning that it has a huge negative impact on the environment. In Sweden, households account for the largest amount of food waste. Therefore, this study focuses on reducing food waste on a household level in Swedish households. There is a growing interest in HCI for how design can be used for reducing food waste by changing unsustainable behaviour. In this work a working mobile prototype, FoodEd, was designed, implemented and
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Gubbels, Jeroen Henricus Hubertus, and Sophie Verona Langer. "Monetization when the time is limited : A multiple case study on temporary mobile apps." Thesis, Internationella Handelshögskolan, Jönköping University, IHH, Företagsekonomi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-48944.

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A successful mobile app monetization strategy is the foundation of any sustainable future business. App developers, in this regard, face the demanding challenge of building, maintaining and monetizing this strategy respectively. Factors, such as users' increasing unwillingness to pay for an app, impacts monetization methods negatively which makes current monetization strategies ever more challenging. Particularly for temporary apps, this phenomenon is ever influential. This research therefore addresses how companies can maximize the monetization of users if the usage of the app is limited by t
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Książki na temat "App data"

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Computer Systems Laboratory (U.S.), ed. Application Portability Profile (APP): The U.S. government's open system environment profile OSE/1, version 1.0. U.S. Dept. of Commerce, National Institute of Standards and Technology, 1991.

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Computer Systems Laboratory (U.S.). Systems and Software Technology Division., ed. Application Portability Profile (APP): The U.S. Government's open system environment profile version 3.0. U.S. Department of Commerce, Technology Administration, National Institute of Standards and Technology, 1996.

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Computer Systems Laboratory (U.S.) Systems and Software Technology Division., ed. Application Portability Profile (APP): The U.S. government's open system environment profile OSE/1, version 2.0. U.S. Dept. of Commerce, National Institute of Standards and Technology, 1993.

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Kou, Gang, Daji Ergu, Yi Peng, and Yong Shi. Data Processing for the AHP/ANP. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29213-2.

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EMC Education Services. Data Science & Big Data Analytics. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119183686.

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Longley, Dennis, and Michael Shain. Data & Computer Security. Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-11170-1.

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Lee, Roger, ed. Big Data, Cloud Computing, Data Science & Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-96803-2.

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Babichev, Sergii, Dmytro Peleshko, and Olena Vynokurova, eds. Data Stream Mining & Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61656-4.

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Geologi, Indonesia Badan. Data dasar gunung api Indonesia. Kementerian Energi dan Sumber Daya Mineral, Badan Geologi, 2011.

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Futterknecht, Philipp, and Tobias Hertfelder. Data, Disruption & Digital Leadership. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-41601-0.

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Części książek na temat "App data"

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Kuh, Nick. "Data Persistence with Core Data." In Foundation iPhone App Development. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4375-5_8.

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Freeman, Adam. "Working with Settings & App Data." In Pro Windows 8 Development with HTML5 and JavaScript. Apress, 2012. http://dx.doi.org/10.1007/978-1-4302-4402-8_20.

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Vermeir, Nico. "Consuming Data." In Windows 8 App Projects. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5066-1_4.

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Spence, Bob. "Data Entry." In Interface for an App—. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-031-02233-3_6.

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Downey, Eric. "Grocery App: Core Data." In Practical Swift. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2280-5_11.

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Duffield, Matthew. "Getting Data." In Practical App Development with Aurelia. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3402-0_7.

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Duffield, Matthew. "Data Binding." In Practical App Development with Aurelia. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3402-0_8.

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Software, Falafel. "Data Sources." In Pro Windows Phone App Development. Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4783-8_11.

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Kumar, Senthil, Lohith Goudagere Nagaraj, Pathik Rawal, and Pryank Rohilla. "Chapter 9: Data Storage and App Data." In Windows 10 Development Recipes. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-0719-2_9.

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Baruah, Shantanu, and Shaurya Baruah. "Searching Data Screen." In App Development Using iOS iCloud. Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8758-3_8.

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Streszczenia konferencji na temat "App data"

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Bhandarkar, Sandeep N., Poornima Manjunath, Ramdas Dinesh Shanbhag, and Shravanth G. N. "Productivity App for ADHD Affected People." In 2024 IEEE 3rd International Conference on Data, Decision and Systems (ICDDS). IEEE, 2024. https://doi.org/10.1109/icdds62937.2024.10910758.

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Sekar, R. Raja, Anigalla Pavan Vivek, Chekka Sai Asish Guptha, Adini Parimal Sesha Sai, and Bondala Charan Kumar Reddy. "ISME-Automated Facial Recognition Mobile APP." In 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2025. https://doi.org/10.1109/idciot64235.2025.10914722.

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Yahyaai, Ammar Al, Nahiyan Al Bulashi, Abir AlSideiri, et al. "Quickserve: A Mobile App for Enhancing Restaurant Efficiency." In 2024 2nd International Conference on Computing and Data Analytics (ICCDA). IEEE, 2024. https://doi.org/10.1109/iccda64887.2024.10867394.

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Määttä, Tuomas, Eetu Holmi, Mehrdad Rostami, and Mourad Oussalah. "DISH4U A Crowd Source App for Guiding Users Towards Healthy Food." In 2024 IEEE International Conference on Big Data (BigData). IEEE, 2024. https://doi.org/10.1109/bigdata62323.2024.10825669.

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Jain, Saksham, Jayashree J, Anushka Jain, and Harshit Jain. "Assisted Vision: a Transformative Web App for the Visually Impaired." In 2025 International Conference on Data Science and Business Systems (ICDSBS). IEEE, 2025. https://doi.org/10.1109/icdsbs63635.2025.11031754.

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Zhang, Zhiwei, Ning Chen, Jun Wang, and Luo Si. "SMART: Sponsored mobile app recommendation by balancing app downloads and appstore profit." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258094.

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Yu, Tan, Jun Zhi, Yufei Zhang, Jian Li, Hongliang Fei, and Ping Li. "Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning." In 2022 IEEE International Conference on Big Data (Big Data). IEEE, 2022. http://dx.doi.org/10.1109/bigdata55660.2022.10020257.

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Savva, Andreas, George Portides, Vasso Stylianou, and Florent Domenach. "A data smoothing app." In 2017 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2017. http://dx.doi.org/10.1109/educon.2017.7943082.

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Farooq, Umar, A. B. Siddique, Fuad Jamour, Zhijia Zhao, and Vagelis Hristidis. "App-Aware Response Synthesis for User Reviews." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9377983.

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Chen, Chaochao, Xinxing Yang, Li Wang, Jun Zhou, and Xiaolong Li. "Large scale app recommendation in Ant Financial." In 2017 IEEE International Conference on Big Data (Big Data). IEEE, 2017. http://dx.doi.org/10.1109/bigdata.2017.8258524.

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Raporty organizacyjne na temat "App data"

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Martínez, Déborah, Cristina Parilli, Ana María Rojas, Carlos Scartascini, and Alberto Simpser. Do You Have COVID-19?: How to Increase the Use of Diagnostic and Contact-Tracing Apps. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003131.

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Diagnostic and contact tracing apps are an important weapon against contagion during a pandemic. We study how the content of the messages used to promote the apps influences adoption by conducting a survey experiment on approximately 23,000 Mexican adults. Respondents were randomly assigned to one of three different prompts, or a control condition, before stating their willingness to adopt a diagnostic app and contact-tracing app. The prompt emphasizing government efforts to ensure data privacy, which has been one of the most common strategies, reduced willingness to adopt the diagnostic app b
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Martínez Villarreal, Déborah, Cristina Parilli, Ana María Rojas Méndez, Carlos Scartascini, and Alberto Simpser. Research Insights: Indirect Strategies Might Be a Better Way to Address Data Privacy Issues. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003213.

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Willingness to download health applications could be increased by addressing data privacy concerns indirectly. In Mexico, a survey experiment explored different priming prompts and their effect on willingness to download a diagnostic and tracing app. The survey experiment revealed that mentioning government efforts on data privacy can backfire. Surprisingly, reminding people of social media's usefulness did not affect people's willingness to download the app.
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Duffy, Talia. Sensitivity Analysis for the Component Design App: Analysis of Success Assured Data. Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2480118.

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Momotaz, Farhana. “TRACK-SOCK”- A wearable socks-app combo for physiological data tracking of athletes & health-conscious individuals. Iowa State University, 2024. https://doi.org/10.31274/cc-20250502-10.

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Zhou, Rongmao, and Rebekah Lee. SEG-2 Viewer MATLAB app user guide. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49219.

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This technical note documents the functionalities of the SEG-2 Viewer and provides a step-by-step user guide for the application. SEG-2 Viewer is a MATLAB app that was developed at the Geotechnical and Structures Laboratory (GSL) of the US Army Engineer Research and Development Center (ERDC) for visualizing and analyzing geophysical data in SEG-2 format.
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Ihaddaden, Fodil. Introduction to Web App Development with R Shiny. Instats Inc., 2024. http://dx.doi.org/10.61700/c3vssh3mivcmo1636.

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This workshop provides an extensive introduction to developing interactive web applications using R Shiny, enabling participants to create, deploy, and optimize data-driven web tools. Ideal for PhD students, professors, and researchers, the course covers fundamental and advanced concepts tailored to enhance research presentation and real-time analytical communication across various scientific domains.
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Goyeneche, Laura, Cynthia Boruchowicz, Florencia Lopez Boo, Luis Tejerina, Benjamin Roseth, and Jennifer Nelson. Pandemics, privacy, and adoption of technology: Perceptions of the use of digital tools and data sharing during COVID-19 from 10 Latin American countries. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004546.

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This study describes the perception, adoption, and acceptance factors involved in the deployment of digital technologies for public health in Latin America and considers the implications for future digital health interventions. We conducted a descriptive analysis using nationally representative data from a phone survey conducted in 2020 in 10 countries in Latin America. We found that early in the pandemic, in countries with existing applications, 74% of the population used a smartphone, 47% had knowledge of the government app to report symptoms, but only 2% reported using it. Those interviewed
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Wright, Susie. Contact tracing apps for COVID-19: September update. Parliamentary Office of Science and Technology, 2020. http://dx.doi.org/10.58248/rr44.

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Contact tracing apps could be used to control the COVID-19 outbreak. Most of them work by automatically registering another smartphone when it is close by for a set period of time. If the user then tests positive for COVID-19 in the future, the contact tracing app notifies these contacts. Concerns have been raised about misuse of personal data. Initial data suggests there has been slow uptake of this new technology by users, and it's unclear if contact tracing apps have had or will affect the pandemic. Northern Ireland, Scotland, and now England and Wales have recently launched contact tracing
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Wright, Susie. Contact tracing apps for COVID-19. Parliamentary Office of Science and Technology, 2020. http://dx.doi.org/10.58248/rr33.

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Contact tracing apps could be used to control the COVID-19 outbreak. Most of them work by automatically registering another smartphone when it is too close for an extended period of time. Then if a user tests positive for Coronavirus in the future, the contact tracing app notifies these contacts. Some countries like Singapore and Australia have already adopted or rolled out their own contact tracing apps. Concerns have been raised about misuse of personal data. Initial data suggests there has been slow uptake of this new technology by users, and it's unclear if contact tracing apps have had or
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Haehnel, Robert, Scott Christensen, J. Whitlow, et al. A computational prototyping environment interface for DoD CREATE™-AV Helios simulations. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40582.

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Computational Prototyping Environment (CPE) is a web-based portal designed to simplify running Department of Defense (DoD) modeling and simulation tools on the DoD Supercomputing Resource Center’s (DSRC) High Performance Computing (HPC) systems. The first of these tools to be deployed in the CPE is an application (app) to conduct parametric studies and view results using the CREATE-AV Helios CFD software. Initial capability includes hover (collective sweep) and forward flight (speed sweep) performance calculations. The CPE Helios app allows for job submission to a DSRC’s HPC system and for the
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