A Novel Skin Cancer Detection Approach Using Deep Learning Algorithm with Image Segmentation Filters by Awf A. Ramadhan, Omer S. Kareem, Diyar Q. Zeebaree

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Sustainability-Based Strategic Framework for Digital Transformation in the Oil and Gas Industry by Abdulla Al-Hajri, Abdel Magid Hamouda, Galal M. Abdella

“…This paper introduces a sustainability-centered strategic framework for digital transformation within the sector, showcasing the deployment of cutting-edge technologies like data analytics, artificial intelligence (AI), cloud computing, and the Internet of Things (IoT). These advancements address key industry challenges, including operational inefficiencies, safety hazards, and the pressing need to reduce carbon emissions. …”
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Moving Vehicle Detection and Tracking Based on Optical Flow Method and Immune Particle Filter under Complex Transportation Environments by Wei Sun, Min Sun, Xiaorui Zhang, Mian Li

“…The experimental results show that the proposed algorithm can well solve the interference of shadow and occlusion and realize accurate detection and robust tracking of moving vehicles under complex transportation environments, which has the potentiality to be processed on a cloud computing platform.…”
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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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MAIN FACTORS OF ECONOMIC, LAND, AND ENVIRONMENTAL IMPACT DUE TO RAPID TECHNOLOGICAL ADVANCEMENTS by V. Nazarenko

“…Industry 4.0 has brought transformative changes across economic, environmental, and land use dimensions, driving innovations through IoT, AI, and cloud computing technologies. This revolution fosters economic growth, promotes circular economies, and integrates renewable energy technologies. …”

Return Loss Optimization in Rectangular Microstrip Patch Antennas Using Response Surface Methodology (RSM) for 5G Applications by Thi Bich Ngoc Tran, Van Su Dang

“…People increasingly rely on the Internet of Things, cloud computing, and big data analytics. These services require higher data rates, faster transmission and reception times, greater coverage, and increased throughput. 5G technology supports all of these features. …”
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A unified elliptic curve cryptographic algorithm for secure communication and homomorphic encryption: A multi-parameter (Built-in CIA) Approach by Josepha Menandas J, Mary Subaja Christo

“…With the rise of cloud computing, IoT devices, and sophisticated cyber threats, maintaining data security requires a multifaceted approach that adapts to evolving risks and technologies. …”
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Driving Supply Chain Transformation with IoT and AI Integration: A Dual Approach Using Bibliometric Analysis and Topic Modeling by Jerifa Zaman, Atefeh Shoomal, Mohammad Jahanbakht, Dervis Ozay

“…This research not only highlights the continuous evolution of the supply chain field in light of Industry 4.0 technologies—such as machine learning, big data analytics, cloud computing, cyber–physical systems, and 5G networks—but also provides an updated overview of advanced IoT and AI technologies currently applied in supply chain operations, documenting their evolution from rudimentary stages to their current state of advancement.…”
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SCM and SME: achieving competitive advantage through improving supply chain by Stefan Ugrinov, Dragan Ćoćkalo, Mila Kavalić, Mihalj Bakator, Sanja Stanisavljev, Luka Đorđević

“…Key areas explored include supply chain risk management (SCRM), where proactive risk mitigation strategies help SMEs address vulnerabilities, and the adoption of digital technologies such as cloud computing, big data, and blockchain, which have become essential for supply chain optimization. …”
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Scalable Cold-Start Optimization in Serverless Computing: Leveraging Function Fusion With PanOpticon Simulator by Ranjan Kumar Behera, Anisha Kumari, Sung-Bae Cho

“…Serverless computing has transformed cloud computing with its inherent scalability, pay-as-you-go pricing model, and low-latency execution. …”
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Research on optimization strategies of university ideological and political parenting models under the empowerment of digital intelligence by Fan Lv

“…Abstract The development of big data, artificial intelligence, cloud computing, and other new generations of intellectual technologies has triggered digital changes in university civic education’s resources, forms, and modes. …”
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Explicating transcendental factors for viable digital business: Towards an explanatory model for digital start-up emergence by Emmanuel Okoro Ajah

“…Digital start-ups leverage the power of large datasets, cloud computing, and digital technology-driven platforms to maintain a competitive edge in the entrepreneurial landscape. …”
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Secure distributed data integrity auditing with high efficiency in 5G-enabled software-defined edge computing by Dengzhi Liu, Zhimin Li, Dongbao Jia

“…Note that the service response of edge computing is faster than that of cloud computing. The service provision speed and the distributed resources utilization rate of edge computing will be further improved when integrated with 5 G and software definition paradigm in the design of the network system. …”
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RINX 2.0: A Containerized Climate Raster Information Extraction System on OpenShift Cloud Environment by D. Jain, J. Blossom, J. Hayes, H. Gibson, S. Rifas-Shimann, D. R. Gold

“…RINX (Raster INformation eXtraction) 2.0 is an advanced solution for efficiently extracting climate data from large raster datasets in a cloud computing environment. Building upon the original RINX 1.0, which utilized high-performance computing clusters, RINX 2.0 leverages cloud technologies such as OpenShift and PostGIS to handle massive datasets and automate the extraction process. …”
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Ai-powered digital twin in the industrial IoT by Željko Bolbotinović, Saša D. Milić, Žarko Janda, Dragan Vukmirović

“…According to DT needs and hierarchical data processing, as well as edge, fog, and cloud computing, the paper presents state-of-the-art ML models and algorithms. …”
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Smart Traffic Management System for Metropolitan Cities of Kingdom Using Cutting Edge Technologies by Mamoona Humayun, Sadia Afsar, Maram Fahaad Almufareh, N. Z. Jhanjhi, Mashayel AlSuwailem

“…This study provides an architecture for a smart traffic management system that uses modern technologies such as the Internet of Things (IoT), cloud computing, 5G, and big data to aid conventional traffic management systems and efficiently handle the stated problem. …”
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An Integrated Method for High-Dimensional Imbalanced Assembly Quality Prediction Supported by Edge Computing by Yixiong Feng, Tianyue Wang, Bingtao Hu, Chen Yang, Jianrong Tan

“…With the rapid expansion of Industrial Internet of Things, cloud computing and artificial intelligence, many intelligent information services have been developed in smart factories. …”
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Emerging information communication technology trends in the construction industry: an overview by Gideon Olukunle Bamigboye, Mehmet Serkan Kirgiz

“…Key emerging trends such as Building Information Modeling (BIM), the Internet of Things (IoT), Artificial Intelligence (AI), blockchain technology, cloud computing, robotics, additive manufacturing, and digital twins are discussed in terms of their applications, benefits, and challenges. …”
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Implementation of an Intelligent Trap for Effective Monitoring and Control of the <i>Aedes aegypti</i> Mosquito by Danilo Oliveira, Samuel Mafra

“…The integration of technologies such as Internet of Things (IoT), cloud computing, big data, and artificial intelligence has the potential to revolutionize pest control, significantly improving mosquito monitoring and control. …”
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Hybrid Network-on-Chip: An Application-Aware Framework for Big Data by Juan Fang, Sitong Liu, Shijian Liu, Yanjin Cheng, Lu Yu

“…Burst growing IoT and cloud computing demand exascale computing systems with high performance and low power consumption to process massive amounts of data. …”
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