Research on the natural language recognition method based on cluster analysis using neural network
Withthe technological advent, the clustering phenomenon is recently being used in various
domains and in natural language recognition. This article contributes to the clustering …
domains and in natural language recognition. This article contributes to the clustering …
[Retracted] Wearable Wireless Body Area Networks for Medical Applications
In recent times, there has been a significant growth in networks known as the wireless body
area networks (WBANs). A WBAN connects distributed nodes throughout the human body …
area networks (WBANs). A WBAN connects distributed nodes throughout the human body …
Secured and privacy-based IDS for healthcare systems on E-medical data using machine learning approach
Existing methods use static path identifiers, making it easy for attackers to conduct DDoS
flooding attacks. Create a system using Dynamic Secure aware Routing by Machine …
flooding attacks. Create a system using Dynamic Secure aware Routing by Machine …
VLSI Implementation of a High‐Performance Nonlinear Image Scaling Algorithm
This study implements the VLSI architecture for nonlinear‐based picture scaling that is
minimal in complexity and memory efficient. Image scaling is used to increase or decrease …
minimal in complexity and memory efficient. Image scaling is used to increase or decrease …
Security-aware routing on wireless communication for E-health records monitoring using machine learning
An ad hoc structure is self-organizing, self-forming, and system-free, with no nearby
associations. One of the significant limits we must focus on in frameworks is leading. As for …
associations. One of the significant limits we must focus on in frameworks is leading. As for …
Smart healthcare security device on medical IoT using raspberry pi
This paper aims to improve the protection of two-wheelers. This study is divided into two
parts: a helmet unit and a vehicle unit. The primary unit is the helmet unit, which contains a …
parts: a helmet unit and a vehicle unit. The primary unit is the helmet unit, which contains a …
[Retracted] Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E‐App
Lifestyle influences morbidity and mortality rates in the world. Physical activity, a healthy
weight, and a healthy diet are key preventative health behaviours that help reduce the risk of …
weight, and a healthy diet are key preventative health behaviours that help reduce the risk of …
[Retracted] Development of a Mobile Application for Interaction between Patients and Doctors in Rural Populations
MB Alazzam, F Alassery… - Mobile information …, 2021 - Wiley Online Library
This study describes the process of construction and evolution of the software development
of the mobile application that allows patient‐doctor‐specialist interaction in rural areas of …
of the mobile application that allows patient‐doctor‐specialist interaction in rural areas of …
Detection of tuberculosis disease using image processing technique
Machine learning is a branch of computing that studies the design of algorithms with the
ability to “learn.” A subfield would be deep learning, which is a series of techniques that …
ability to “learn.” A subfield would be deep learning, which is a series of techniques that …
[Retracted] Dynamic Systems Enhanced by Electronic Circuits on 7D
Hybrid synchronization is one of the most significant aspects of a dynamic system. We
achieve nonlinear control unit results to synchronize two comparable 7D structures in this …
achieve nonlinear control unit results to synchronize two comparable 7D structures in this …