Real-Time Remote Patient Monitoring and Alarming System for Noncommunicable Lifestyle Diseases by Htet Yamin Ko Ko, Nitin Kumar Tripathi, Chitrini Mozumder, Sombat Muengtaweepongsa, Indrajit Pal

“…These systems were developed using the latest technology in wireless sensors, medical devices, cloud computing, mobile computing, telecommunications, and machine learning technologies. …”
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Confidential Intelligent Traffic Light Control System: Prevention of Unauthorized Traceability by Ahmad Audat, Maram Bani Younes, Marah Yahia, Said Ghoul

“…Others benefit from artificial intelligence techniques and/or cloud computing technologies. The technology of vehicular networks has been widely used to gather the traffic characteristics of competing traffic flows at signalized road intersections. …”
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Optimizing Internet of Things Services Placement in Fog Computing Using Hybrid Recommendation System by Hanen Ben Rjeb, Layth Sliman, Hela Zorgati, Raoudha Ben Djemaa, Amine Dhraief

“…Fog Computing extends Cloud computing capabilities by providing computational resources closer to end users. …”
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Automatic Monitoring in Construction Projects: Scientometric Analysis and Visualization of Research Activities by Amir Hossein Dalir, Zahra Pezeshki, Mehdi Ravanshadnia, Eugene Krinitsky, Ildar Aidarovich Sultanguzin

“…So, the study uncovers collaboration patterns among researchers and institutions, highlighting key players and their contributions, identifies research gaps and challenges, such as the need for integrating AI, big data, and cloud computing into construction project monitoring, and proposes future research directions to address these challenges and enhance the effectiveness of automatic monitoring systems. …”
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MANAGEMENT OF INTERNET MARKETING IN EDUCATION SYSTEM WITH BLOCK CHAIN TECHNOLOGIES by U. A. Vishniakou, D. A. Kachan

“…We have analyzed the application of technologies in marketing activities (MA) using cloud computing, determined features thereof and demonstrated some restrictions of MA on Internet. …”
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Banking fintech adoption: systematic review with bibliometric and content analysis by Muhammad Asif, Farhan Sarwar, Rab Nawaz Lodhi, Rida Akbar

“…Emphasizing the global integration of blockchain, cloud computing, and big data into FinTech research, the study provides valuable insights into the possibilities and risks associated with technological advancements in the financial sector.…”
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Q-Learning based VM Consolidation Approach for Enhancing Cloud Data Centres Power Efficiency by Baikani Sreenithya, Bharde Hitesh Dutt, Chennamaneni Jashwanth, R Karthikeyan, MA Jabbar, Majjari Sudhakar

“…One among them is using cloud computing infrastructure and VM setup. Virtual Machine consolidation is a viable solution to mitigate energy related issues of data centres. …”
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RABiTPy: an open-source Python software for rapid, AI-powered bacterial tracking and analysis by Samyabrata Sen, Indraneel Vairagare, Jitendrapuri Gosai, Abhishek Shrivastava

“…RABiTPy supports GPU and CPU processing as well as cloud computing. It offers comprehensive spatiotemporal analyses that includes trajectories, motile speeds, mean squared displacement, and turning angles—while providing a variety of visualization options. …”
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Enhancing Cloud Security: A Multi-Factor Authentication and Adaptive Cryptography Approach Using Machine Learning Techniques by K. Sasikumar, Sivakumar Nagarajan

“…The rapid expansion of cloud computing underscores the critical need for advanced security measures to protect sensitive data on remote servers. …”
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Transfer Probability-Based Job Reallocation Method for Heterogeneous Edge Clouds by Kohei Ogawa, Sumiko Miyata, Kenji Kanai

“…In mobile edge computing (MEC), efficient job allocation is essential to optimize system performance and reduce reliance on cloud computing. Edge servers, deployed at base stations, must handle user-submitted jobs without overloading, which would otherwise lead to excessive job transfers to the cloud. …”
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U-SCAD: An Unsupervised Method of System Call-Driven Anomaly Detection for Containerized Edge Clouds by Jiawei Ye, Ming Yan, Shenglin Wu, Jingxuan Tan, Jie Wu

“…Container technology is currently one of the mainstream technologies in the field of cloud computing, yet its adoption in resource-constrained, latency-sensitive edge environments introduces unique security challenges. …”
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Automated detection of spreading depolarizations in electrocorticography by Sreekar Puchala, Ethan Muchnik, Anca Ralescu, Jed A. Hartings

“…SD detection using sparse sampling (0.1 Hz) is optimal for streaming and use in cloud computing applications for neurocritical care.…”
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Credit card fraud detection in the era of disruptive technologies: A systematic review by Asma Cherif, Arwa Badhib, Heyfa Ammar, Suhair Alshehri, Manal Kalkatawi, Abdessamad Imine

“…Our study shows a limited investigation to date into deep learning, revealing that more research is required to address the challenges associated with detecting credit card fraud through the use of new technologies such as big data analytics, large-scale machine learning and cloud computing. Raising current research issues and highlighting future research directions, our study provides a useful source to guide academic and industrial researchers in evaluating financial fraud detection systems and designing robust solutions.…”
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China’s Creative Industries by Yanzhina Z. Gomboeva

“…Digital culture is commercialized, customer-centric and focuses on the needs of individuals and specific communities, it has had a strong positive impact on the image and economy of modern China.The Chinese government’s action plan for the implementation of the Internet Plus program aims to integrate mobile Internet, cloud computing, big data and Internet of Sales with industrial sectors to promote economic restructuring, improve service for people’s lives, including government functions. …”
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State-of-the-Art on IoV-Based Deep Learning Framework for Enhanced Driving Behavior Recognition: Recent Progress, Technology Updates, Challenges, and Future Direction by Hongguang Li, Shafrida Sahrani, Mahidur R. Sarker, Yinglin Xiao

“…Therefore, this paper proposes an active IoV based DL framework, emphasizing the feasibility of enhancing data processing techniques and algorithmic improvements to boost model accuracy and generalization ability, and highlighting the potential of integrating edge and cloud computing to support real-time data analysis and decision-making. …”
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Secure Sharing of Electronic Medical Records Based on Blockchain by Song Luo, N. Han, Tan Hu, YuHua Qian

“…In traditional medical institutions, most medical data is stored centrally through cloud computing technology in the institution’s data center. …”
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An AI-Assisted Framework for Lifecycle Management of Beyond 5G Services by Alexandros-Ioannis Manolopoulos, Viktoria-Maria Alevizaki, Markos Anastasopoulos, Anna Tzanakaki

“…This includes optimizing the allocation and orchestration of both networking and edge/cloud computing virtual resources within the infrastructure.…”
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Fault-Tolerant Scheduling Mechanism for Dynamic Edge Computing Scenarios Based on Graph Reinforcement Learning by Yuze Zhang, Geming Xia, Chaodong Yu, Hongcheng Li, Hongfeng Li

“…With the proliferation of Internet of Things (IoT) devices and edge nodes, edge computing has taken on much of the real-time data processing and low-latency response tasks which were previously managed by cloud computing. However, edge computing often encounters challenges such as network instability and dynamic resource variations, which can lead to task interruptions or failures. …”
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Performance analysis of cloud resource allocation scheme with virtual machine inter-group asynchronous failure by Yuan Zhao, Kang Chen, Hongmin Gao, Yan Li

“…The recent rapid expansion of cloud computing has led to the prominence of Cloud Data Center (CDC) emerging. …”
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Measurement and deformation monitoring system for underground engineering robots based on Internet of Things architecture by Yao Di

“…The system was designed with a multi-layer architecture, including a perception layer (real-time collection of deformation data) and a network layer (using a robot to carry a data acquisition terminal and transmit data to a cloud server through wireless communication technology), platform layer (using cloud computing and big data technology to store, process, and analyze collected data), and application layer (visualization platform, convenient operation, and analysis of data). …”
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