Relevant bibliographies by topics / Cloudbased technologies

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  2. Conference papers

Academic literature on the topic 'Cloudbased technologies'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Cloudbased technologies"

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Feist, Roger. "Cloudbased Production Optimization - Potential and Limits Today." Applied Mechanics and Materials 885 (November 2018): 48–55. http://dx.doi.org/10.4028/www.scientific.net/amm.885.48.

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This paper shows how a databased approach towards production optimization was realized with the help of cloud-technologies. Several uncertainties, either in the manufacturing of the producing machines or in the production on these machines can be systematically reduced. In this way a significant improvement in production amount, but also in produced quality can be reached.
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Bidaibekov, Y., B. Bostanov, S. Koneva, and K. Bedelov. "PRINCIPLES FOR SELECTING THE CLOUD TECHNOLOGIES CONTENT TECHNOLOGIES AT PEDAGOGICAL UNIVERSITY." BULLETIN Series of Physics & Mathematical Sciences 71, no. 3 (2020): 180–85. http://dx.doi.org/10.51889/2020-3.1728-7901.26.

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In recent years, special attention has been paid to the training system focused on the formation of digital skills. Cloudbased training allows solving a number of issues with storing the results of training activities and organizing access to them. For this, it is necessary to teach future teachers of computer science the principles of cloud technologies, the use of «clouds» in solving pedagogical problems. In this regard, it is necessary to determine the content of teaching cloud technologies for future teachers of computer science. The article discusses the principles of determining the cont
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Marienko, Maiia, Yulia Nosenko, Alisa Sukhikh, Viktor Tataurov, and Mariya Shyshkina. "Personalization of learning through adaptive technologies in the context of sustainable development of teachers’ education." E3S Web of Conferences 166 (2020): 10015. http://dx.doi.org/10.1051/e3sconf/202016610015.

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The article highlights the issues of personalized learning as the global trend of the modern ICTbased educational systems development. The notion, the main stages of evolution, the main features and principles of adaptive learning systems application for teachers’ training are outlined. It is emphasized that the use and elaboration of the adaptive cloud-based learning systems are essential to provide sustainable development of teachers’ education. The current trends and peculiarities of the cloud-based adaptive learning systems development and approach of their implementation for teachers’ tra
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Korotun, Olha V., Tetiana A. Vakaliuk, and Vladimir N. Soloviev. "Model of using cloud-based environment in training databases of future IT specialists." CTE Workshop Proceedings 7 (March 20, 2020): 281–92. http://dx.doi.org/10.55056/cte.360.

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The authors substantiates and develops the model of using cloud-based environment (CBE) in the training of databases of future information technology (IT) specialists, which consists of interrelated units: target (purpose, task of using CBE), conceptual (pedagogical approaches, didactic principles), organizational and semantic (characteristics of CBE, basic requirements for CBE, subjects of training, CBE of the teacher, CBE of the student, curricula of institution of higher education, educational-methodical complex of discipline “Databases”, installation and configuration of database managemen
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Osinachi Deborah Segun-Falade, Olajide Soji Osundare, Wagobera Edgar Kedi, Patrick Azuka Okeleke, Tochukwu Ignatius Ijomah, and Oluwatosin Yetunde Abdul-Azeez. "Evaluating the role of cloud integration in mobile and desktop operating systems." International Journal of Scholarly Research in Engineering and Technology 4, no. 1 (2024): 019–31. http://dx.doi.org/10.56781/ijsret.2024.4.1.0019.

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The integration of cloud computing has fundamentally transformed the landscape of mobile and desktop operating systems, enabling new levels of functionality, efficiency, and user experience. This review examines the role of cloud integration in these operating systems and its implications for both users and developers. Cloud integration enhances mobile and desktop operating systems by offering scalable storage solutions, seamless data synchronization, and enhanced computing power. For mobile systems, cloud services provide users with the ability to access their data and applications from any d
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Sherry, Dr R. M. R. Shamija. "RRefined and Effective Integration of Access Control Mechanism in Blockchain Enabled DApp." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32865.

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The combination of the Internet of Things (IoT) and aviation integration with the help of satellite and 6G communication technologies has led to the Internet of Unmanned Aerial Vehicles (UAV) or Internet of Drones (IoD). To host and share large amounts of drone data in real time, cloud-based IoD algorithm Cloudbased IoD is the wrong choice to reduce the weight of mobile drones. However, how to protect the sensitive drone at the fair is a matter of curiosity, and it is very difficult to break the environment where drone use is available and limited resources are available. Although our previous
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Patil, S. T., Siddhant Thaware, Sahil Shitole, Suyash Shinde, and Kaivalya Shende. "Sky Insight." International Journal for Research in Applied Science and Engineering Technology 12, no. 11 (2024): 2113–18. http://dx.doi.org/10.22214/ijraset.2024.65365.

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Abstract: This research presents to provide real-time flight data utilizing VATSIM (Virtual Air Traffic Simulation Network). This platform offers aviation enthusiasts, virtual pilots, and air traffic controllers an interactive and dynamic environment to monitor live flights and air traffic operations. By leveraging the robust data provided by VATSIM, SKY INSIGHT ensures accurate and up-to-date information, enhancing the virtual flying experience. The application features an intuitive interface, comprehensive flight tracking, and real-time updates, making it an essential tool for those involved
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Sinex, Scott A., Theodore L. Chambers, and Joshua B. Halpern. "Inspiring Online Collaborative STEM Learning." MRS Advances 1, no. 56 (2016): 3727–33. http://dx.doi.org/10.1557/adv.2016.362.

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ABSTRACTEducators are advocating a variety of 21st century technologies to increase student engagement and prepare them for the modern workplace. As part of this effort this paper describes the development of several introductory laboratory activities which enhance online collaborative skills in the context of group collaborations. The experiments mostly deal with measurement and error in the context of mathematical modeling. They inculcate online collaborative skills including group writing, collection of experimental data, student feedback, and assessment using forms, spreadsheets with data
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Mohamed, Mahmoud, and Khaled Alosman. "A Comprehensive Machine Learning Framework for Robust Security Management in Cloud-based Internet of Things Systems." Jurnal Kejuruteraan 36, no. 3 (2024): 1055–65. http://dx.doi.org/10.17576/jkukm-2024-36(3)-18.

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The purpose of this paper is to explore the role of Machine Learning (ML) in fortifying the security of cloudbased Internet of Things (IoT) systems, using a comprehensive security management approach. The methodological approach involved comparing different ML techniques such as Decision Trees, Random Forest, Support Vector Machines, and Convolutional Neural Networks. Their effectiveness was evaluated based on the accuracy of threat detection in cloud-based IoT systems. The findings revealed that Convolutional Neural Networks demonstrated the highest accuracy rate (98%) in threat detection, th
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Zhang, Peng, Xin Li, Xin Lin, and Liang He. "A New Literature Review of 3D Object Detection on Autonomous Driving." Journal of Artificial Intelligence Research 82 (February 18, 2025): 973–1015. https://doi.org/10.1613/jair.1.15961.

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In recent years, the realm of computer vision has experienced a significant surge in the importance of 3D object detection, especially in the context of autonomous driving. The capability to precisely identify the locations, dimensions, and types of key 3D objects surrounding an autonomous vehicle is crucial, rendering 3D object detection a vital component of any advanced perception system. This review delivers an extensive overview of the emerging technologies in 3D object detection tailored for autonomous vehicles. It encompasses a thorough examination, evaluation, and integration of the cur
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Conference papers on the topic "Cloudbased technologies"

1

Evdokimova, Svetlana. "SECURITY ISSUES OF THE INDUSTRIAL INTERNET OF THINGS." In ACTUAL ISSUES OF AUTOMATION, ROBOTICS AND MANAGEMENT IN TECHNICAL, ORGANIZATIONAL, ECONOMIC SYSTEMS. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2025. https://doi.org/10.58168/aiarmtoes2025_62-68.

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In accordance with the concept of Industry 4.0, the industrial Internet of Things is rapidly developing, providing the integration of computer networks and auto-mation of production for remote control, monitoring and data collection. The use of information and network technologies, cloudbased data processing systems entails the possibility of cyberattacks. The paper considers the main security threats of the industrial Internet of Things.
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Gene, Viveta, Vilelmini Sosoni, María do Campo Bayón, Parthena Charalampidou, and Pilar Sánchez-Gijón. "Exploring Students’ Experience with CAT-Integrated MT and Gen AI: Translating Creative Texts in Bureau Works." In New Trends in Translation and Technology Conference 2024. INCOMA Ltd. Shoumen, BULGARIA, 2024. http://dx.doi.org/10.26615/issn.2815-4711.2024_007.

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Recent advances in machine learning have resulted in the development of more sophisticated innovative technologies for digital content generation and translation, such as Generative AI (Gen AI) [7]. Naturally, such technologies have been integrated in Computer-assisted Translation (CAT) tools leading to augmented translation scenarios where translators work with Translation Memories (TMs), Neural Machine Translation (NMT) and GenAI in one single tool. The present study seeks to explore Greek and Spanish undergraduate and postgraduate Translation students’ experience with CAT-Integrated MT and
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Anand, Sangeeta, and Sumeet Sharma. "LONG-TERM CARE INSURANCE (LTCI) SYSTEMS MODERNIZATION USING CLOUD-BASED DATA ANALYTICS." In 12th International Conference on Signal Processing. Academy & Industry Research Collaboration, 2025. https://doi.org/10.5121/csit.2025.151107.

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Changing demographics, growing healthcare expenses, and better standards for digital service supply have long-term care insurance (LTCI) firms under more and more pressure to modernise. Standard long-term care insurance plans fall short in managing claims, assessing risks, ensuring policy compliance, or providing consumers with decent customer service. Usually, several data storage, human procedures, and outdated technology lead to these issues. These restrictions deliver more specialised, premium treatment, increase running expenses, and complicate response. This essay explores how employing
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