6G Technology - Crossref

Linear Regression-ML Algorithm based 6G-Wireless Sensor Network Technology for Enhanced Smart Groundwater Monitoring System in Chittoor District, Andhra Pradesh-India

Abstract In the present decade for the advantages water level control system, the groundwater level monitoring system plays a vital role. This paper presents a Linear Regression - Machine Learning algorithm based on a wireless Sensor Network for Smart Groundwater Monitoring System to measure and monitor the groundwater level. The integrated SGMS also uses the measured results to determine and estimate the groundwater quality and quantity to help the groundwater properly. The LR-ML algorithm with WSN calculates the water level for the irrigation, household use, and industrial use, as well as alerts the user when borewells are dry, preventing the coil burn in the water pump. The LR algorithm is chosen for the investigation because it has the ability to monitor sensor nodes with WSN for SGMS. If the LR algorithm is embedded with WSN, it has the ability to enhance the underlying SGMS's performance.

Source link: https://doi.org/10.21203/rs.3.rs-976527/v1

IoT BASED SECURED HEALTHCARE USING 6G TECHNOLOGY AND DEEP LEARNING TECHNIQUES

The entire healthcare market will be dominated by the 6G communication revolution from 2040 to 2040. In light of all of this, we foresee the healthcare system in the era of 6G communication technology. We discuss the adoption of AI with the Internet of Things in the medical services framework and its effects on a few academic fields in this paper.

Source link: https://doi.org/10.47750/pnr.2022.13.s09.053

OPTIMIZATION OF E-LEARNING AND PERFORMANCE USING IOT AND 6G TECHNOLOGY

Machine learning is expected to make network efficient and flexible, according to many, but the most promising technologies are often thought of as secret elements due to their deep designs. Several IoT network dashboards show that the recommended protocols result in unrivalled execution for the two clarifications and forecasts.

Source link: https://doi.org/10.47750/pnr.2022.13.s09.060

MACHINE LEARNING BASED HEALTHCARE MONITORING USING 6G TECHNOLOGY

The healthcare industry is still reliant on 6G communication technologies and AI, as shown by time and location, but 6G will remove these barriers. The sixth-generation network aims to bring about the changes in the medical care industry. It will provide innovative medical care therapies and enable safe patient remote monitoring, revealing the nexus of 6G correspondence technology in tele medical treatment, pestilence, and pandemic. In addition, 6G will be seen as a game-changing advancement for the medical services industry. Given this, we estimate the medical care framework for the period of 6G correspondence innovation.

Source link: https://doi.org/10.47750/pnr.2022.13.s09.061

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions