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Analysis of challenges and solutions of IoT in smart grids using AI and machine learning techniques: A review
With the assistance of machine learning, difficult tasks can be completed entirely on their
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …
[HTML][HTML] Internet of medical things: A systematic review
Abstract Internet of Medical Things (IoMT) refers to applying Internet of Things (IoT) into the
medical field. The IoMT enables a medical system to connect various smart devices, such as …
medical field. The IoMT enables a medical system to connect various smart devices, such as …
[HTML][HTML] The role of machine learning and the internet of things in smart buildings for energy efficiency
Machine learning can be used to automate a wide range of tasks. Smart buildings, which
use the Internet of Things (IoT) to connect building operations, enable activities, such as …
use the Internet of Things (IoT) to connect building operations, enable activities, such as …
Cloud-edge load balancing distributed protocol for IoE services using swarm intelligence
Rapid development of the Internet of Everything (IoE) and cloud services offer a vital role in
the growth of smart applications. It provides scalability with the collaboration of cloud servers …
the growth of smart applications. It provides scalability with the collaboration of cloud servers …
Blockchain-based internet of medical things
H Taherdoost - Applied Sciences, 2023 - mdpi.com
IoMT sensor nodes, Internet of Things (IoT) wearable medical equipment, healthcare
facilities, patients, and insurance firms are all increasingly being included in IoMT systems …
facilities, patients, and insurance firms are all increasingly being included in IoMT systems …
MobileNet-SVM: A lightweight deep transfer learning model to diagnose BCH scans for IoMT-based imaging sensors
Many individuals worldwide pass away as a result of inadequate procedures for prompt
illness identification and subsequent treatment. A valuable life can be saved or at least …
illness identification and subsequent treatment. A valuable life can be saved or at least …
Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments
A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
Medical practitioner-centric heterogeneous network powered efficient E-Healthcare risk prediction on Health Big Data
P Sathyaprakash, P Alagarsundaram… - International Journal …, 2024 - World Scientific
From a Licensed Medical Practitioner's (LMP) perspective, e-Healthcare Risk Prediction
plays a vital role in Health Big Data. This also is a hot issue in e-healthcare because of the …
plays a vital role in Health Big Data. This also is a hot issue in e-healthcare because of the …
Big data analytics of iot-based cloud system framework: Smart healthcare monitoring systems
The field of the Internet of Things (IoT) is continuing in a fashion that will transform the
complete landscape of future Internet, and the devices have increased in recent years by …
complete landscape of future Internet, and the devices have increased in recent years by …
Feature extraction and artificial intelligence-based intrusion detection model for a secure internet of things networks
JB Awotunde, S Misra - Illumination of artificial intelligence in cybersecurity …, 2022 - Springer
Security has been a concern in recent years, especially in the Internet of Things (IoT) system
environment, where security and privacy are of great importance. Our lives have significantly …
environment, where security and privacy are of great importance. Our lives have significantly …