Product collaborative filtering based recommendation systems for large-scale E-commerce by Trang Trinh, Van-Ho Nguyen, Nghia Nguyen, Duy-Nghia Nguyen

“…This paper introduces a product-based collaborative filtering approach utilizing Apache Spark, a powerful parallel processing framework to address the scalability issues of recommender systems in the cloud computing environment. Using Spark's distributed computing ability, our model attains a surprising 7.6 times speedup on the training time compared to traditional single-machine methods while preserving accuracy with a Root Mean Square Error (RMSE) 0.9. …”
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Impact of Data Centers on Climate Change: A Review of Energy Efficient Strategies by Daniel Raphael Ejike Ewim, Nwakamma Ninduwezuor-Ehiobu, Ochuko Felix Orikpete, Blessed Afeyokalo Egbokhaebho, Akeeb Adepoju Fawole, Chiemela Onunka

“… The rapid proliferation of digital services and the surge in cloud computing have significantly increased the demand for data centers worldwide. …”
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Securing Cloud-Based Internet of Things: Challenges and Mitigations by Nivedita Singh, Rajkumar Buyya, Hyoungshick Kim

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Impact of Digital Inclusive Finance on Rural High-Quality Development: Evidence from China by Le Sun, Congmou Zhu

“…Therefore, it is recommended to increase the construction of rural digital infrastructure, improve the digitalization of inclusive finance with the help of digital technologies such as cloud computing, and expand the breadth and depth of digital inclusive finance services in rural areas, especially in economically underdeveloped provinces and cities, to effectively promote the comprehensive and high-quality development of rural areas.…”
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The digital transformation of the construction industry: a review by Daniela Vararean-Cochisa, Emil-Lucian Crisan

“…Concerning the intervention (I), BIM technology dominates construction firms' approaches to DT, followed by cloud computing and Internet of Things (IoT). The outcomes (O) of DT include direct and indirect benefits related to accurate cost calculations, cost reduction, improved work efficiency, high quality, as there are more complex results related to new business models and increased long-term competitiveness. …”
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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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Technology and practice of intelligent governance for financial data security by Peng HOU, Zhixin LI, Fei ZHANG, Xu SUN, Dan CHEN, Yihao CUI, Hanbing ZHANG, Yinan JIN, Hongfeng CHAI

“…In the “14th Five-Year Plan” era, the digitization of the financial industry has entered a phase of deepening and high-quality development.Strengthening Financial Data Security Governance (FDSG) and protecting financial data security have become an objective need and essential requirements for developing national economic security.FDSG utilizes data governance measures as a fundamental tool with a focus on sensitive data to ensure the comprehensive security of the entire lifecycle of financial data.It aims to promote data circulation among financial institutions, activate data value, and facilitate market-oriented allocation of financial data elements.FDSG is increasingly intertwined with big data, artificial intelligence, cloud computing, and blockchain technologies, transforming traditional data security governance into intelligent governance and accelerating the evolution of FDSG towards automation, intelligence, efficiency, and precision.FDSG’s essence, scope, and governance framework were introduced, and the core concepts and critical supporting technologies for the intellectual development of FDSG were elaborated, outlining the roadmap for intelligent governance.With consideration of FDSG’s demands and characteristics of intelligent technologies, vital directions for the practical application of intelligent technologies in FDSG were outlined, including data classification, data traceability, content control, privacy protection, and data twinning.Examples of current intelligent governance practices in banking, securities, and insurance industries were provided.Policy recommendations were proposed in the paper to promote the standardized and intelligent development of FDSG in China’s new era, aiming to foster the sustainable development of financial institutions and industries and ensure a healthy and secure environment for the future.…”
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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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Quantum Safe Multi-Factor User Authentication Protocol for Cloud-Assisted Medical IoT by Arman Ahmad, S. Jagatheswari

“…The Medical Internet of Things (MIoT) plays a pivotal role in modern healthcare by integrating wireless communication and cloud computing to enhance medical practices. However, this framework presents security vulnerabilities, such as the risk of eavesdroppers exploiting public channels to intercept sensitive patient data or impersonate legitimate devices and services. …”
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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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A Secure and Green Cognitive Routing Protocol for Wireless Ad-Hoc Networks by Muhammad Saqib Javed, Rana Abu Bakar

“…Our protocol utilizes the benefits of cloud computing, cloud storage, and the fast communication capabilities of IPv6. …”
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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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Evaluation of Machine Learning Models for Mapping Food Crops using Sentinel-2A Imagery in West Java, Indonesia by Ridwana Riki, Kamal Muhammad, Arjasakusuma Sanjiwana, Rabbi Muh Fiqri Abdi

“…Google Earth Engine is used in this study as a big data cloud computing platform for remote sensing. Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) Sentinel2A imagery is utilized to employ time series data as input characteristics for the three most popular machine learning models: Support Vector Machine (SVM), Random Forest (RF), and Classification and Regression Trees (CART). …”
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IoT, Blockchain, Big Data and Artificial Intelligence (IBBA) Framework—For Real-Time Food Safety Monitoring by Siva Peddareddigari, Sri Vigna Hema Vijayan, Manickavasagan Annamalai

“…Leveraging the Internet of Things (IoT), 5G, blockchains, cloud computing, and big data, a novel framework has been proposed to address the current challenges. …”
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