Journal ArticleDOI
Genomic sequence analysis of lung infections using artificial intelligence technique.
R. Kumar,Fadi Al-Turjman,L. Anand,Abhishek Kumar,S. Magesh,K. Vengatesan,R. Sitharthan,M. Rajesh +7 more
Reads0
Chats0
TLDR
In this paper, Parallel based SVM (P-SVM) and IoT has been utilized to examine the ideal order of lung infections caused by genomic sequence, and the proposed method develops a new methodology to locate the ideal characterization of lung sicknesses and determine its growth in its early stages, to control the growth and prevent lung sickness.Abstract:
Attributable to the modernization of Artificial Intelligence (AI) procedures in healthcare services, various developments including Support Vector Machine (SVM), and profound learning. For example, Convolutional Neural systems (CNN) have prevalently engaged in a significant job of various classificational investigation in lung malignant growth, and different infections. In this paper, Parallel based SVM (P-SVM) and IoT has been utilized to examine the ideal order of lung infections caused by genomic sequence. The proposed method develops a new methodology to locate the ideal characterization of lung sicknesses and determine its growth in its early stages, to control the growth and prevent lung sickness. Further, in the investigation, the P-SVM calculation has been created for arranging high-dimensional distinctive lung ailment datasets. The data used in the assessment has been fetched from real-time data through cloud and IoT. The acquired outcome demonstrates that the developed P-SVM calculation has 83% higher accuracy and 88% precision in characterization with ideal informational collections when contrasted with other learning methods.read more
Citations
More filters
Journal ArticleDOI
Application of machine learning (ML) and internet of things (IoT) in healthcare to predict and tackle pandemic situation.
R. Sitharthan,M. Rajesh +1 more
TL;DR: In this paper, the application of the internet of things (IoT) and machine learning (ML) based system to combat pandemic situation in health care application has been discussed, the developed ML and IoT based monitoring system help in tracking the infected persons from the previous data and makes them get isolate from the noninfected person.
Journal ArticleDOI
ANFIS for prediction of epidemic peak and infected cases for COVID-19 in India.
TL;DR: In this paper, an Adaptive Neuro-fuzzy Inference System (ANFIS)-based machine learning technique was used to predict the possible outbreak in India. And the proposed technique not only predicts the outbreak but also tracks the disease and suggests a measurable policy to manage the COVID-19 epidemic.
Proceedings ArticleDOI
OIDCBMS: A Novel Neural Network based Intrusion Detection System to Cloud Computing based on New Cube Algorithm
TL;DR: Online Instruction Detection Cloud-Based Management System (OIDCBMS) as mentioned in this paper takes over the hybrid learning aspect of the New Cube algorithm and utilizes such calculation in an online framework by deeprooted figuring out how to group input while learning the framework.
Journal ArticleDOI
Design of Social Distance Monitoring Approach Using Wearable Smart Tags in 5G IoT Environment During Pandemic Conditions
TL;DR: In this article , the authors proposed a smart wearable tag for social distance monitoring to prevent COVID-19, which is an enduring extensive pandemic disease globally that infected several million people, occasionally leads to fatal.
References
More filters
Journal ArticleDOI
Covid-19 and Domestic Violence: an Indirect Path to Social and Economic Crisis.
TL;DR: It is found that layoffs, loss of income, extended domestic stays, and exposure to habits due to stay-at-home orders are driving up the incidence of domestic violence.
Journal ArticleDOI
Analysis and classification of heart diseases using heartbeat features and machine learning algorithms
TL;DR: This study proposed an ECG (Electrocardiogram) classification approach using machine learning based on several ECG features that achieved an overall accuracy of 96.75% using GDB Tree algorithm and 97.98% using random Forest for binary classification.
Journal ArticleDOI
National Cancer Database Analysis of Proton Versus Photon Radiation Therapy in Non-Small Cell Lung Cancer
Kristin Higgins,Kelli O'Connell,Yuan Liu,Theresa W. Gillespie,Mark W. McDonald,Rathi N. Pillai,Kirtesh R. Patel,Pretesh Patel,Clifford G. Robinson,Charles B. Simone,Taofeek K. Owonikoko,Chandra P. Belani,Fadlo R. Khuri,Fadlo R. Khuri,Walter J. Curran,Suresh S. Ramalingam,Madhusmita Behera +16 more
TL;DR: Thoracic radiation with protons is associated with better survival in this retrospective analysis; further validation in the randomized setting is needed to account for any imbalances in patient characteristics, including positron emission tomography-computed tomography staging.
Journal ArticleDOI
Smoking status and survival in the national comprehensive cancer network non–small cell lung cancer cohort
Amy K. Ferketich,Joyce C. Niland,Rizvan Mamet,Carrie C. Zornosa,Thomas A. D'Amico,David S. Ettinger,Gregory P. Kalemkerian,Katherine M.W. Pisters,Mary E. Reid,Gregory A. Otterson +9 more
TL;DR: The objectives of this study were to evaluate survival among current smokers, former smokers, and never smokers who are diagnosed with non–small cell lung cancer (NSCLC).
Journal ArticleDOI
An adaptive Elman neural network with C-PSO learning algorithm based pitch angle controller for DFIG based WECS:
R. Sitharthan,M. Geethanjali +1 more
TL;DR: The outstanding aspect of the proposed EENN pitch controller is that, they can smoothen the output power fluctuation, when the wind speed is above or below rated speed of the WT.