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[HTML][HTML] A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications
S Nayak, R Patgiri, L Waikhom, A Ahmed - Digital Communications and …, 2024 - Elsevier
Edge technology aims to bring cloud resources (specifically, the computation, storage, and
network) to the closed proximity of the edge devices, ie, smart devices where the data are …
network) to the closed proximity of the edge devices, ie, smart devices where the data are …
A review of efficient real-time decision making in the Internet of Things
KD Kang - Technologies, 2022 - mdpi.com
Technologies | Free Full-Text | A Review of Efficient Real-Time Decision Making in the Internet of
Things Next Article in Journal IoT Framework for Measurement and Precision Agriculture …
Things Next Article in Journal IoT Framework for Measurement and Precision Agriculture …
Drl-sfcp: Adaptive service function chains placement with deep reinforcement learning
Network function virtualization (NFV) is a promising paradigm that network functions can be
deployed on commodity servers instead of dedicated servers to enhance the resource …
deployed on commodity servers instead of dedicated servers to enhance the resource …
Extended kernel density estimation for anomaly detection in streaming data
J Rosenberger, K Müller, A Selig, M Bühren… - Procedia CIRP, 2022 - Elsevier
Abstract Machine Learning algorithms based on kernel density estimation (KDE) are said to
be well suited for anomaly detection. However, existing approaches mainly cover point …
be well suited for anomaly detection. However, existing approaches mainly cover point …
CURATE: On-demand orchestration of services for health emergencies prediction and mitigation
Telemedicine, or the ability granted to doctors to remotely assist patients has been greatly
benefited by advances in IoT, network communications, Machine Learning and Edge/Cloud …
benefited by advances in IoT, network communications, Machine Learning and Edge/Cloud …
Monitoring of iot systems at the edges with transformer-based graph convolutional neural networks
Internet of Things (IoT) systems are complex, and consist of distributed and interdependent
components, making the modeling, prediction and monitoring of their behavior a critical …
components, making the modeling, prediction and monitoring of their behavior a critical …
A time granular analysis of software defined wireless mesh based IoT (SDWM-IoT) network traffic using supervised learning
The ceaseless increase in the number of the wireless Internet of Things (IoT) devices has
resulted in the need of different traffic engineering techniques to manage the massive …
resulted in the need of different traffic engineering techniques to manage the massive …
Towards policy-aware edge computing architectures
P Baniya, G Bajaj, J Lee, A Bastani… - … Conference on Big …, 2020 - ieeexplore.ieee.org
Cloud computing offers an economical and elastic means to handle the storage and
computation needs of the Internet of Things (IoT). However, storage and retrieval from the …
computation needs of the Internet of Things (IoT). However, storage and retrieval from the …
Internet of medical things and coding as a service (IoMTCaaS) for monitoring people affected by Covid-19
Y Rivera, E Vega, EJP Cantillo - Encuentro Internacional de …, 2022 - acofipapers.org
Con la necesidad cada vez mayor de recursos computacionales y de transferencia de datos
que exigen los servicios de telemedicina, no es realista que los dispositivos médicos …
que exigen los servicios de telemedicina, no es realista que los dispositivos médicos …
Analysis of Revolutionizing IoT Solutions through Cloud Computing Integration
SI Abbas, R Walia - … on Sentiment Analysis and Deep Learning …, 2024 - ieeexplore.ieee.org
This research work investigates the significant potential for increasing productivity and
promoting innovation in a range of sectors presented by the combination of DevOps, Cloud …
promoting innovation in a range of sectors presented by the combination of DevOps, Cloud …