Secure Internet of medical Things (IoMT) based on ECMQV-MAC authentication protocol and EKMC-SCP blockchain networking

Q Lin, X Li, K Cai, M Prakash, D Paulraj - Information sciences, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT) is a collection of healthcare technologies
(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

M Belyaev, M Murugappan, A Velichko, D Korzun - Sensors, 2023 - mdpi.com
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 …

A novel WGF-LN based edge driven intelligence for wearable devices in human activity recognition

SR Menaka, M Prakash, S Neelakandan… - Scientific Reports, 2023 - nature.com
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 …

[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 …

A modified generative adversarial networks with Yolov5 for automated forest health diagnosis from aerial imagery and Tabu search algorithm

P Jayagopal, K Purushothaman Janaki, P Mohan… - Scientific Reports, 2024 - nature.com
Our environment has been significantly impacted by climate change. According to previous
research, insect catastrophes induced by global climate change killed many trees, inevitably …

A systematic approach to machine learning for cancer classification

G Kaur, C Prabha, D Chhabra, N Kaur… - … and Informatics (IC3I …, 2022 - ieeexplore.ieee.org
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 …

Modeling of Artificial Intelligence-Based Automated Climate Control with Energy Consumption Using Optimal Ensemble Learning on a Pixel Non-Uniformity Metro …

S Justin, W Saleh, MMA Lashin, HM Albalawi - Sustainability, 2023 - mdpi.com
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 …

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 …

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 …

An Advanced Internet of Things-Based Health Monitoring System Assisted by Machine Learning

V Radhakrishnan, H Tabassum… - Computational …, 2024 - taylorfrancis.com
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 …