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  1. 1541
    “…Research has shown the multitude of applications that Internet of Things (IoT), cloud computing, and forecast technologies present in every sector. …”
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    IRRISENS: An IoT Platform Based on Microservices Applied in Commercial-Scale Crops Working in a Multi-Cloud Environment
  2. 1542
    por Lima, Matheus Sant’Ana
    Publicado 2021
    “…Distributed Systems architectures are becoming the standard computational model for processing and transportation of information, especially for Cloud Computing environments. The increase in demand for application processing and data management from enterprise and end-user workloads continues to move from a single-node client-server architecture to a distributed multitier design where data processing and transmission are segregated. …”
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    Information theory inspired optimization algorithm for efficient service orchestration in distributed systems
  3. 1543
    “…To limit the spread of infection, the Chinese government adopted innovative, specialized, and advanced systems, including empowered Fangcang and Internet hospitals, as well as high technologies such as 5G, big data analysis, cloud computing, and artificial intelligence. The efficient use of these new forces helped China win its fight against the virus. …”
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    COVID-19 and healthcare system in China: challenges and progression for a sustainable future
  4. 1544
    “…Undoubtedly, such a practice creates a dilemma in a cloud computing (cloud) environment, where a wide range of heterogeneous applications are running and many users have access to these resources. …”
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    Generic SDE and GA-based workload modeling for cloud systems
  5. 1545
    “…A total of 56 articles are reviewed based on the combination of a set of selected search terms including RPM, data mining, clinical decision support system, electronic health record, cloud computing, internet of things, and wireless body area network. …”
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    Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges
  6. 1546
    “…Many research works indicated other causes of this problem, such as the anthropogenic heat flux (AHF). Cloud computing (CC) data centers (DCs), for example, perform massive computational tasks for end users, leading to emit huge amounts of waste heat towards the surrounding (local) atmosphere in the form of AHF. …”
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    Assessing anthropogenic heat flux of public cloud data centers: current and future trends
  7. 1547
    “…This is due to the convergence of various advancements related to digitalization and the use of information and communication technologies (ICTs)—ranging from the internet of things (IoT) and the internet of medical things (IoMT) to the fields of robotics, virtual and augmented reality, and massively parallel and cloud computing. Further progress has been made in the fields of addictive manufacturing and three-dimensional (3D) printing, sophisticated statistical tools such as big data visualization and analytics (BDVA) and artificial intelligence (AI), the use of mobile and smartphone applications (apps), remote monitoring and wearable sensors, and e-learning, among others. …”
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    Gynecology Meets Big Data in the Disruptive Innovation Medical Era: State-of-Art and Future Prospects
  8. 1548
    “…Cloud computing has emerged as a cutting-edge technology which is widely used by both private and public institutions, since it eliminates the capital expense of buying, maintaining, and setting up both hardware and software. …”
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    Profiling SLAs for cloud system infrastructures and user interactions
  9. 1549
    “…The information security domain focuses on security needs at all levels in a computing environment in either the Internet of Things, Cloud Computing, Cloud of Things, or any other implementation. …”
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    VisTAS: blockchain-based visible and trusted remote authentication system
  10. 1550
    “…The rapid growth in virtualization solutions has driven the widespread adoption of cloud computing paradigms among various industries and applications. …”
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    A new weighted fuzzy C-means clustering for workload monitoring in cloud datacenter platforms
  11. 1551
    “…Over 22,600 kidneys were allocated in 10 years in triplicate using Markov Chain Monte Carlo simulations on 32-CPU-core cloud-computing instances. T-cell epitopes were calculated using the www.pirche.com portal. …”
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    Computational Eurotransplant kidney allocation simulations demonstrate the feasibility and benefit of T-cell epitope matching
  12. 1552
    “…Nursing homes integrated with smart information such as the Internet of Things, cloud computing, artificial intelligence, and digital health could improve not only the quality of care but also benefit the residents and health professionals by providing effective care and efficient medical services. …”
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    The expectations and acceptability of a smart nursing home model among Chinese elderly people: A mixed methods study protocol
  13. 1553
    “…An information technology platform able to support hundreds of thousands simultaneous connections was built and cloud computing technologies were put in place to help scale up and down the resources needed for the high number of users at peak times. …”
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    Digital transformation of major scientific meetings induced by the COVID-19 pandemic: insights from the ESC 2020 annual congress
  14. 1554
    “…This study collected real-time data using sensors and stored it on a cloud computing platform, such as Google Firebase. The acquired data is then classified using six machine-learning algorithms: Artificial Neural Network (ANN), Random Forest Classifier (RFC), Gradient Boost Extreme Gradient Boosting (XGBoost) classifier, Support Vector Machine (SVM), Naïve Bayes (NB), and Decision Tree (DT). …”
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    Smart Cardiac Framework for an Early Detection of Cardiac Arrest Condition and Risk
  15. 1555
    “…Advances in machine learning, computer vision and artificial intelligence methods, in combination with those in processing and cloud computing capability, portend the advent of true decision support during interventions in real-time and soon perhaps in automated surgical steps. …”
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    Digital surgery for gastroenterological diseases
  16. 1556
    “…A locally developed software and cloud-computing were used as a tool to modify preanaesthesia evaluation. …”
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    Information technology-based joint preoperative assessment, risk stratification and its impact on patient management, perioperative outcome, and cost
  17. 1557
    “…Experimental results also proved that when cloud computing is compared to edge computing, the Grove AI HAT achieves the average performance of 18 FPS for a person detector (kmodel) with an average 56 ms execution time in different networks, regardless of the network connection type or speed.…”
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    Physical Distancing Device with Edge Computing for COVID-19 (PADDIE-C19)
  18. 1558
    por Pezoulas, Vasileios C., Goules, Andreas, Kalatzis, Fanis, Chatzis, Luke, Kourou, Konstantina D., Venetsanopoulou, Aliki, Exarchos, Themis P., Gandolfo, Saviana, Votis, Konstantinos, Zampeli, Evi, Burmeister, Jan, May, Thorsten, Marcelino Pérez, Manuel, Lishchuk, Iryna, Chondrogiannis, Thymios, Andronikou, Vassiliki, Varvarigou, Theodora, Filipovic, Nenad, Tsiknakis, Manolis, Baldini, Chiara, Bombardieri, Michele, Bootsma, Hendrika, Bowman, Simon J., Soyfoo, Muhammad Shahnawaz, Parisis, Dorian, Delporte, Christine, Devauchelle-Pensec, Valérie, Pers, Jacques-Olivier, Dörner, Thomas, Bartoloni, Elena, Gerli, Roberto, Giacomelli, Roberto, Jonsson, Roland, Ng, Wan-Fai, Priori, Roberta, Ramos-Casals, Manuel, Sivils, Kathy, Skopouli, Fotini, Torsten, Witte, A. G. van Roon, Joel, Xavier, Mariette, De Vita, Salvatore, Tzioufas, Athanasios G., Fotiadis, Dimitrios I.
    Publicado 2022
    “…Here, we present the HarmonicSS cloud-computing exemplar which offers beyond the state-of-the-art data analytics services to address the pSS clinical unmet needs, including the development of lymphoma classification models and the identification of biomarkers for lymphomagenesis. …”
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    Addressing the clinical unmet needs in primary Sjögren’s Syndrome through the sharing, harmonization and federated analysis of 21 European cohorts
  19. 1559
    “…Artificial intelligence (AI), Internet of Things (IoT), and the cloud computing have recently become widely used in the healthcare sector, which aid in better decision-making for a radiologist. …”
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    Cloud-Based Lung Tumor Detection and Stage Classification Using Deep Learning Techniques
  20. 1560
    “…The effort aims mainly to reduce storage costs and cloud computing associated with neural networks as the complexity of the computations increases with increasing numbers of hidden layers. …”
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    Design of Resources Allocation in 6G Cybertwin Technology Using the Fuzzy Neuro Model in Healthcare Systems
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