Secure Internet of medical Things (IoMT) based on ECMQV-MAC authentication protocol and EKMC-SCP blockchain networking
Abstract The Internet of Medical Things (IoMT) is a collection of healthcare technologies
(medical equipment, software applications, and services) that allows doctors, care providers …
(medical equipment, software applications, and services) that allows doctors, care providers …
Entropy-Based Machine Learning Model for Fast Diagnosis and Monitoring of Parkinson's Disease
This study presents the concept of a computationally efficient machine learning (ML) model
for diagnosing and monitoring Parkinson's disease (PD) using rest-state EEG signals (rs …
for diagnosing and monitoring Parkinson's disease (PD) using rest-state EEG signals (rs …
A novel WGF-LN based edge driven intelligence for wearable devices in human activity recognition
Human activity recognition (HAR) is one of the key applications of health monitoring that
requires continuous use of wearable devices to track daily activities. The most efficient …
requires continuous use of wearable devices to track daily activities. The most efficient …
[HTML][HTML] TPEMLB: A novel two-phase energy minimized load balancing scheme for WSN data collection with successive convex approximation using mobile sink
P Mohan, VA Rajasekaran, P Santhanam… - Ain Shams Engineering …, 2024 - Elsevier
Abstract Wireless Sensor Networks (WSNs) an energy consumption is a significant
problematic due to the limited power resources of sensor nodes. Mobile Sinks (MS) rise the …
problematic due to the limited power resources of sensor nodes. Mobile Sinks (MS) rise the …
A modified generative adversarial networks with Yolov5 for automated forest health diagnosis from aerial imagery and Tabu search algorithm
Our environment has been significantly impacted by climate change. According to previous
research, insect catastrophes induced by global climate change killed many trees, inevitably …
research, insect catastrophes induced by global climate change killed many trees, inevitably …
A systematic approach to machine learning for cancer classification
Cancer is a lethal disease that is frequently brought on by the accumulation of hereditary
disorders and many pathological alterations. Cancerous cells are aberrant, life-threatening …
disorders and many pathological alterations. Cancerous cells are aberrant, life-threatening …
Modeling of Artificial Intelligence-Based Automated Climate Control with Energy Consumption Using Optimal Ensemble Learning on a Pixel Non-Uniformity Metro …
Climate control in a pixel non-uniformity metro system includes regulating the air, humidity,
and temperature quality within metro trains and stations to ensure passenger comfort and …
and temperature quality within metro trains and stations to ensure passenger comfort and …
Dynamic Provision of Workload Allocation on Cloud Resources Using Machine Learning Techniques
C Saravanakumar, M Prakash… - … and Smart Electrical …, 2023 - ieeexplore.ieee.org
Cloud tasks are scheduled to the respective VM for execution. Scheduling process selects
the resources and allocates the requesting task to them. The resources are selected in …
the resources and allocates the requesting task to them. The resources are selected in …
An Adaptive Cloud and Internet of Things-Based Disease Detection Approach for Secure Healthcare system
A Mitra, V Ammu, R Chowdhury… - 2024 International …, 2024 - ieeexplore.ieee.org
The role of the Internet of Things (IoT) in disease data handling, analysis, prediction, and
classification is prominent due to digital electronic healthcare records (EHRs). This article …
classification is prominent due to digital electronic healthcare records (EHRs). This article …
An Advanced Internet of Things-Based Health Monitoring System Assisted by Machine Learning
In the realm of community health, there is a mountain of information and a wide variety of
approaches to processing it. Systems for processing data are widely used. The results of …
approaches to processing it. Systems for processing data are widely used. The results of …