IoT-Based Solar Energy Measurement and Monitoring Model by L. Chitra, N. Vasantha Gowri, M. Maheswari, Dipesh Uike, N. R. Medikondu, Essam A. Al-Ammar, Ahmed Sayed Mohammed Metwally, Ataul Islam, Abdi Diriba

“…In this context, with the help of cloud computing-based Internet of things (IOT), the industrial power stations, high-voltage substations, low-voltage networks, power stations that comply with legal regulations on safety from electricity, electrical installations for machinery, alarm systems, fire alarm systems, cathodic corrosion protection mechanisms in oil tanks and pipelines, emergency power supply installations, electrical installations in buildings, and gas alarm systems are inspected and documented.…”
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Resource Management Framework Based on the Stackelberg Game in Vehicular Edge Computing by Guang-Shun Li, Ying Zhang, Mao-Li Wang, Jun-Hua Wu, Qing-Yan Lin, Xiao-Fei Sheng

“…With the emergence and development of the Internet of Vehicles (IoV), quick response time and ultralow delay are required. Cloud computing services are unfavorable for reducing delay and response time. …”
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Role of artificial intelligence in smart grid – a mini review by M. Balamurugan, Kamala Narayanan, N. Raghu, G. B. Arjun Kumar, V. N. Trupti

“…The development of appropriate infrastructure resources, including big data, cloud computing, and other collaboration platforms, must be enhanced for this type of operation. …”
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Collusion-Tolerable and Efficient Privacy-Preserving Time-Series Data Aggregation Protocol by Yongkai Li, Shubo Liu, Jun Wang, Mengjun Liu

“…Many miraculous ideas have been proposed to deal with the privacy-preserving time-series data aggregation problem in pervasive computing applications, such as mobile cloud computing. The main challenge consists in computing the global statistics of individual inputs that are protected by some confidentiality mechanism. …”
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From FPGA to Support Cloud to Cloud of FPGA: State of the Art by Rym Skhiri, Virginie Fresse, Jean Paul Jamont, Benoit Suffran, Jihene Malek

“…FPGAs are interesting due to the flexibility and reconfigurabiltiy of their device. Cloud computing becomes a major trend towards infrastructure and computing resources dematerialization. …”
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Public management of smart cities: European experience by S. A. Zakharova

“…The third group of publications deals with critical aspects of the development of smart governance in practice and the resulting consequences, in particular, the reassessment of the ability of the private sector to develop and implement intelligent technologies, the predominance of a technocratic approach to decision-making, the inability to ensure impartiality and objectivity, the lack of the ability to analyse urban data, cloud computing on digital platforms to stimulate production in a collaborative environment. …”
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The Business Process Reconstruction of Railway-River Combined Transportation Cloud Platform Taking China Container Export as an Example by Furong Jia, Lin Sun, Jiaxin Yuan, Yongping Li, Qiang Huang

“…Combined with the structure and business characteristics of intermodal transportation information systems, adopting cloud computing and Big Data technology, we propose an intermodal transportation information process with waybill as the information carrier and FPMS as the service fulcrum in this paper. …”
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A System of Remote Patients’ Monitoring and Alerting Using the Machine Learning Technique by M. Dhinakaran, Khongdet Phasinam, Joel Alanya-Beltran, Kingshuk Srivastava, D. Vijendra Babu, Sitesh Kumar Singh

“…The proposed methodology makes use of different machine learning algorithms along with cloud computing for continuous data storage. Over the years, these technologies have resulted in significant advancements in the healthcare industry. …”
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Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing by Jun Liu, Chenggang Zhou, Haoyuan Wei, Jie Pi, Daoying Wang

“…To address the major challenges in the meat processing industry, including device heterogeneity, model deficiencies, rapidly increasing demands for data analysis, and limitations of cloud computing, this study proposes an Internet of Things (IoT) architecture. …”
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Security-enhanced three-factor remote user authentication scheme based on Chebyshev chaotic maps by Yan Zhao, Shiming Li, Liehui Jiang, Tieming Liu

“…With the wide deployment of new computing paradigms, such as cloud computing and edge computing, the people can access services provided by remote servers more conveniently via the Internet. …”
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Qualified Digital Ecosystems As an Academic Information System Framework in The Industrial 4.0 by Ino Sulistiani, Nursaeni, Bobur Sobirov

“…This study addresses these gaps by implementing a comprehensive quality framework for AIS, integrating cloud computing for enhanced security and privacy, and employing the Web-Based Application Quality Model (WBAQM) as the primary development framework. …”
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Task Offloading Optimization Using PSO in Fog Computing for the Internet of Drones by Sofiane Zaidi, Mohamed Amine Attalah, Lazhar Khamer, Carlos T. Calafate

“…This particularity makes it difficult to apply the conventional task offloading technologies, such as cloud computing and edge computing, in IoD environments. …”
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Cloud-Based Intrusion Detection Approach Using Machine Learning Techniques by Hanaa Attou, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yousef Farhaoui

“…Cloud computing (CC) is a novel technology that has made it easier to access network and computer resources on demand such as storage and data management services. …”
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A Scalable Framework for Sensor Data Ingestion and Real-Time Processing in Cloud Manufacturing by Massimo Pacella, Antonio Papa, Gabriele Papadia, Emiliano Fedeli

“…Cloud Manufacturing enables the integration of geographically distributed manufacturing resources through advanced Cloud Computing and IoT technologies. This paradigm promotes the development of scalable and adaptable production systems. …”
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E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review by Abed Mutemi, Fernando Bacao

“…Advances in artificial intelligence, Machine Learning (ML), and cloud computing have revitalized research and applications in this domain. …”
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XI2S-IDS: An Explainable Intelligent 2-Stage Intrusion Detection System by Maiada M. Mahmoud, Yasser Omar Youssef, Ayman A. Abdel-Hamid

“…The rapid evolution of technologies such as the Internet of Things (IoT), 5G, and cloud computing has exponentially increased the complexity of cyber attacks. …”
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FI-NL2PY2SQL: Financial Industry NL2SQL Innovation Model Based on Python and Large Language Model by Xiaozheng Du, Shijing Hu, Feng Zhou, Cheng Wang, Binh Minh Nguyen

“…This paper innovatively proposes a new NL2SQL method based on a large language model (LLM), which could be adapted to an edge-cloud computing platform. First, natural language is converted into Python language, and then SQL is generated through Python. …”
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A Risk Assessment Algorithm for College Student Entrepreneurship Based on Big Data Analysis by Chengjun Zhou, DuanXu Wang

“…Big data analysis technology is a new product formed under the background of cloud computing and Internet technology, which has the characteristics of large data scale, multiple data types, and strong data value and provides more technical support for the researches on the risk assessment algorithm for college student entrepreneurship. …”
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Cloud-Based License Plate Recognition: A Comparative Approach Using You Only Look Once Versions 5, 7, 8, and 9 Object Detection by Christine Bukola Asaju, Pius Adewale Owolawi, Chuling Tu, Etienne Van Wyk

“…This study presents a comparative analysis of various versions of the YOLO (You Only Look Once) object detection models, namely, YOLO 5, 7, 8, and 9, applied to LPR tasks in a cloud computing environment. Using live video, we performed experiments on YOLOv5, YOLOv7, YOLOv8, and YOLOv9 models to detect number plates in real time. …”
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A Hybrid Model for Assessing the Performance of Medical Tourism: Integration of Bayesian BWM and Grey PROMETHEE-AL by Chin-Cheng Yang, Chih-Chien Shen, Tso-Yen Mao, Huai-Wei Lo, Chun-Jui Pai

“…The results of the analysis show that the two most critical criteria for MT are “the operators have cloud computing systems to analyze the travelers’ sensor data in real-time and accurately to provide customized medical services” and “multilingualism and communication skills of medical travel-related personnel.” …”
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