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  1. 1181
    “…Internet of Things (IoT), fog computing, cloud computing, and data‐driven techniques together offer a great opportunity for verticals such as dairy industry to increase productivity by getting actionable insights to improve farming practices, thereby increasing efficiency and yield. …”
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    SmartHerd management: A microservices‐based fog computing–assisted IoT platform towards data‐driven smart dairy farming
  2. 1182
    “…Those benefits included reduced data transfer from the IoT-Edge to the Cloud and reduced Cloud, computing and network resource costs.…”
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    Edge Computing, IoT and Social Computing in Smart Energy Scenarios
  3. 1183
    por Kamolov, Ahmadhon, Park, Suhyun
    Publicado 2019
    “…It is indisputable that a great deal of brand new technologies such as the internet of things, (IoT) big data, and cloud computing are conquering every aspect of our life. …”
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    An IoT-Based Ship Berthing Method Using a Set of Ultrasonic Sensors †
  4. 1184
    “…Furthermore, technologies that enable mRehab (wearable sensors, in-home environmental monitors, cloud computing, artificial intelligence) transcend national boundaries. …”
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    The Digital Health Revolution and People with Disabilities: Perspective from the United States
  5. 1185
    “…Cloud computing supports many unprecedented cloud-based vehicular applications. …”
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    Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration
  6. 1186
    por Xiao, Di, Li, Min, Zheng, Hongying
    Publicado 2020
    “…Local services are far from satisfying storage requirements, and the cloud computing fails to effectively support heterogeneous distributed IoT environments, such as wireless sensor network. …”
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    Smart Privacy Protection for Big Video Data Storage Based on Hierarchical Edge Computing
  7. 1187
    “…When a personal device is employed, in particular, many algorithms require a cloud computing approach to achieve the expected performances; other algorithms adopt models that are simple by design. …”
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    Distillation of an End-to-End Oracle for Face Verification and Recognition Sensors †
  8. 1188
    “…The results indicate that the community has significantly focused in areas like technology adoption models, Social Media, e-Government and business models; sentiment analysis and m-payments are peripheral themes, yet topics like cloud computing and Open Data are emerging. The analysis highlights the shift of the research interest throughout the past decades, and the rise of new topics, comprising evidence that the field is expanding and evolving. …”
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    Mapping the Intellectual Progress in e-Business, e-Services and e-Society from 2001 to 2019
  9. 1189
    “…Considering the time-varying characteristics of the IoT entity state and the characteristics of user search behavior, an edge-cloud collaborative entity recommendation method is proposed via combining the advantages of edge computing and cloud computing. First, an entity recommendation system architecture based on the collaboration between edge and cloud is designed. …”
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    Edge and Cloud Collaborative Entity Recommendation Method towards the IoT Search
  10. 1190
    “…The Artificial Intelligence interaction framework of the developed robotic system (including humanoid Pepper with its sensors and actuators, additional local, remote and cloud computing services) is being extended with the use of custom external subsystems for additional knowledge acquisition: device-based human identification, visual identification and audio-based interlocutor localization subsystems. …”
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    Human Interaction Smart Subsystem—Extending Speech-Based Human-Robot Interaction Systems with an Implementation of External Smart Sensors
  11. 1191
    “…A subset of such technologies and applications consists of Software Defined Netowrks (SDNs), Cloud Computing (CC), Machine-to-Machine (M2M) communications, Big Data applications, Internet-of-Things (IoT), 5G and wireless standards such as IEEE 802.15.4g and IEEE 802.16.1. …”
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    Threat Landscape of Next Generation IoT-Enabled Smart Grids
  12. 1192
    “…The development of smart and automated molecular diagnostic tools equipped with biomedical big data analysis, cloud computing and medical artificial intelligence can be an ideal approach for the detection and monitoring of diseases, precise therapy, and storage of data over the cloud for supportive decisions. …”
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    Futuristic CRISPR-based biosensing in the cloud and internet of things era: an overview
  13. 1193
    “…Moreover, public Cloud computing has been emerging as a viable solution for both prototyping and urgent computing. …”
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    Running a Pre-exascale, Geographically Distributed, Multi-cloud Scientific Simulation
  14. 1194
    por Yang, Hyunsik, Kim, Younghan
    Publicado 2020
    “…The Internet-of-Things (IoT) cloud-computing infrastructure is also evolving from a VM-based to a container-based infrastructure. …”
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    Design and Implementation of Fast Fault Detection in Cloud Infrastructure for Containerized IoT Services
  15. 1195
    “…Fog computing extends the cloud computing paradigm by placing resources close to the edges of the network to deal with the upcoming growth of connected devices. …”
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    Fog Computing: Enabling the Management and Orchestration of Smart City Applications in 5G Networks
  16. 1196
    “…Our model will be distributed to the cloud computing environment.…”
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    WACPN: A Neural Network for Pneumonia Diagnosis
  17. 1197
    “…Recent advancements in cloud computing, artificial intelligence, and the internet of things (IoT) create new opportunities for autonomous industrial environments monitoring. …”
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    Cloud-Based Monitoring of Thermal Anomalies in Industrial Environments Using AI and the Internet of Robotic Things
  18. 1198
    “…Specifically, by enabling sensing and computing locally at the MEMS sensor node and utilizing the usually unwanted pull in/out hysteresis, we may eliminate the need for cloud computing and reduce the use of analog-to-digital converters, sampling circuits, and digital processors. …”
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    Exploiting Pull-In/Pull-Out Hysteresis in Electrostatic MEMS Sensor Networks to Realize a Novel Sensing Continuous-Time Recurrent Neural Network
  19. 1199
    “…In addition, a web-based monitoring system using a cloud computing platform is a well-known technique to provide real-time water level monitoring. …”
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    Energy-Efficient Ultrasonic Water Level Detection System with Dual-Target Monitoring
  20. 1200
    “…They tend to offload task processing to remote servers, usually to cloud computing (CC) in datacenters geographically located away from the IoT device. …”
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    An Algorithm to Minimize Energy Consumption and Elapsed Time for IoT Workloads in a Hybrid Architecture
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