A review of cognitive hybrid radio frequency/visible light communication systems for wireless sensor networks
RF Miranda, CH Barriquello, VA Reguera… - Sensors, 2023 - mdpi.com
The development and growth of Wireless Sensor Networks (WSNs) is significantly propelled
by advances in Radio Frequency (RF) and Visible Light Communication (VLC) technologies …
by advances in Radio Frequency (RF) and Visible Light Communication (VLC) technologies …
An automated breast cancer diagnosis using feature selection and parameter optimization in ANN
Detecting and treating breast cancer at earlier stages is highly proved to improve the
survival rate of breast cancer patients as breast cancer is considered a major cause of death …
survival rate of breast cancer patients as breast cancer is considered a major cause of death …
A design and challenges in energy optimizing CR-wireless sensor networks
PC Shaker Reddy, Y Sucharitha - Recent Advances in …, 2023 - ingentaconnect.com
Background: The progress of the Cognitive Radio-Wireless Sensor Network is being
influenced by advancements in wireless sensor networks (WSNs), which significantly have …
influenced by advancements in wireless sensor networks (WSNs), which significantly have …
A hybrid artificial bee colony with whale optimization algorithm for improved breast cancer diagnosis
Breast cancer is the most common among women that leads to death if not diagnosed at
early stages. Early diagnosis plays a vital role in decreasing the mortality rate globally …
early stages. Early diagnosis plays a vital role in decreasing the mortality rate globally …
COVID‐19 Risk Prediction for Diabetic Patients Using Fuzzy Inference System and Machine Learning Approaches
A Aggarwal, M Chakradar, MS Bhatia… - Journal of …, 2022 - Wiley Online Library
Individuals with pre‐existing diabetes seem to be vulnerable to the COVID‐19 due to
changes in blood sugar levels and diabetes complications. As observed globally, around 20 …
changes in blood sugar levels and diabetes complications. As observed globally, around 20 …
Artificial intelligence inspired energy and spectrum aware cluster based routing protocol for cognitive radio sensor networks
Abstract A Cognitive Radio Sensor Network (CRSN) is a distributed network of sensor
nodes, which senses event signals and collaboratively communicates over dynamically …
nodes, which senses event signals and collaboratively communicates over dynamically …
Fuzzy-logic-inspired zone-based clustering algorithm for wireless sensor networks
With the increasing use of wireless terminals, wireless sensor networks (WSNs) have
received significant attention owing to their wide usage in monitoring harsh environments …
received significant attention owing to their wide usage in monitoring harsh environments …
Energy and spectrum aware unequal clustering with deep learning based primary user classification in cognitive radio sensor networks
The problem of energy efficiency in cognitive radio sensor networks (CRSN) is mainly
caused by the limited energy of sensor nodes and other channel-related operations for data …
caused by the limited energy of sensor nodes and other channel-related operations for data …
Modeling and simulation of urban air quality with a 2-phase assessment technique
Modeling of air quality is a statistical simulation of how air pollutants spread and react in the
environment to impact the quality of atmospheric air. A 2-Phase assessment simulation …
environment to impact the quality of atmospheric air. A 2-Phase assessment simulation …
A novel breast cancer diagnosis scheme with intelligent feature and parameter selections
Abstract Background and Objective Breast cancer is the most commonly occurring cancer
among women, which contributes to the global death rate. The key to increasing the survival …
among women, which contributes to the global death rate. The key to increasing the survival …