Enhancement of direct power control by using artificial neural network for a doubly fed induction generator-based WECS: an experimental validation
Direct power control (DPC) is among the most popular control schemes used in renewable
energy because of its many advantages such as simplicity, ease of execution, and speed of …
energy because of its many advantages such as simplicity, ease of execution, and speed of …
Energy-balanced neuro-fuzzy dynamic clustering scheme for green & sustainable IoT based smart cities
Abstract The Internet of Things (IoT) is a pervasive computing technology that provides
solutions to critical sustainable smart city applications. Each sustainable application has its …
solutions to critical sustainable smart city applications. Each sustainable application has its …
[PDF][PDF] An enhanced self-learning-based clustering scheme for real-time traffic data distribution in wireless networks
The process of examining the data flow over the internet to identify abnormalities in wireless
network performance is known as network traffic analysis. When analyzing network traffic …
network performance is known as network traffic analysis. When analyzing network traffic …
An Optimized Bio-inspired Localization Routing Technique for Sustainable IIoT Networks & Green Cities
Abstract The industrial Internet of Things (IIoTs) network life is shortened due to sensor node
(SN) energy limitations and computational capability. As a result, optimum node location …
(SN) energy limitations and computational capability. As a result, optimum node location …
An enhanced consortium blockchain diversity mining technique for IoT metadata aggregation
P Chithaluru, F Al-Turjman, R Dugyala… - Future Generation …, 2024 - Elsevier
Over the last two decades, Internet of Things (IoT) networks have grown exponentially.
Although the devices have relatively low memory, resource, and processing capability, the …
Although the devices have relatively low memory, resource, and processing capability, the …
Image Geo-Site Estimation Using Convolutional Auto-Encoder and Multi-Label Support Vector Machine
The estimation of an image geo-site solely based on its contents is a promising task.
Compelling image labelling relies heavily on contextual information, which is not as simple …
Compelling image labelling relies heavily on contextual information, which is not as simple …
A cooperation federated forwarder selection technique for maximizing network lifetime in wireless sensor network
Abstract Wireless Sensor Network (WSN) fulfills the requirements to solve real-life
applications due to their unattended nature. But, the main constraint faced by researchers is …
applications due to their unattended nature. But, the main constraint faced by researchers is …
HAFC: Handover Authentication Scheme Based on Fog Computing for 5G-Assisted Vehicular Blockchain Networks
The quick progress of 5G networks has allowed for intelligent driving. The primary
environment for intelligent driving is provided by vehicular ad hoc networks (VANETs), which …
environment for intelligent driving is provided by vehicular ad hoc networks (VANETs), which …
An opportunistic energy‐efficient dynamic self‐configuration clustering algorithm in WSN‐based IoT networks
The demand for the Internet of Things (IoT) has significantly increased in the current
scenario; specific sectors that require IoT include industrial automation, home control, health …
scenario; specific sectors that require IoT include industrial automation, home control, health …
Machine Learning-Based Approaches for Improving Healthcare Services and Quality of Life (QoL): Opportunities, Issues and Challenges
P Rahi, R Bajaj, SP Sood, M Dandotiyan… - … Predictive Models in …, 2024 - books.google.com
Abstract Machine learning and artificial intelligence can change the traditional treatment
style to the technology-linked quality of healthcare. The professionals of the health sector …
style to the technology-linked quality of healthcare. The professionals of the health sector …