Call for Papers:Vol.12 Issue.3

Submission
Last date		 28-Jun-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES
PaperId: :  23729
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-23729
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof. Kishor UgaleMET’s Institute of Engineering
Bhushan Sandeep WaghmareMET’s Institute of Engineering
Kunal Ganesh BhavsarMET’s Institute of Engineering
Om Somnath ShindeMET’s Institute of Engineering

Abstract

Electrical Engineering
Lung Disease, Machine Learning, Deep Learning, Image Processing
Lung Disease is common throughout the world. These include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is essential. Many image processing and machine learning models have been developed for this purpose. The recent development of imaging and sequencing technologies enables systematic advances in the clinical study of lung cancer. Machine learning-based approaches play a critical role in integrating and analyzing these large and complex datasets, which have extensively characterized lung cancer through the use of different perspectives from these accrued data. Machine learning techniques, ranging from traditional algorithms to sophisticated deep learning models, have proven valuable in the analysis of medical images for lung disease detection. The emergence of CNNs, designed to excel in image analysis tasks, has particularly transformed this field, enabling automated detection and classification with unprecedented accuracy. These technologies not only offer the ability to expedite diagnosis but also to reduce the workload on healthcare professionals. The benefits of utilizing machines and deep learning techniques extend beyond accuracy and speed; they hold the potential to create scalable and robust solutions applicable in diverse healthcare settings, including resource-limited environments. This abstract provides a foundation for a comprehensive exploration of these methods, encompassing their methodologies, challenges, and prospects, as they play a pivotal role in the fight against respiratory diseases, ultimately contributing to more efficient and effective healthcare systems

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. "LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 857-863
MLA Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. "LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 857-863.
APA Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, & Om Somnath Shinde. (2024). LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 857-863.
Chicago Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. "LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 857-863.
Oxford Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. 'LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 857-863. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/LUNG_DISEASES_FOR_PNEUMONIA_AND_COVID_19_USING_MACHINE_AND_DEEP_LEARNING_TECHNIQUES_ijariie23729.pdf (Accessed : 12 November 2024).
Harvard Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. (2024) 'LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 857-863IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/LUNG_DISEASES_FOR_PNEUMONIA_AND_COVID_19_USING_MACHINE_AND_DEEP_LEARNING_TECHNIQUES_ijariie23729.pdf (Accessed : 12 November 2024)
IEEE Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde, "LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 857-863, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/LUNG_DISEASES_FOR_PNEUMONIA_AND_COVID_19_USING_MACHINE_AND_DEEP_LEARNING_TECHNIQUES_ijariie23729.pdf [Accessed : 12 November 2024].
Turabian Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. "LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 (12 November 2024).
Vancouver Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 12 November 2024]; 10(3) : 857-863. Available from: https://ijariie.com/AdminUploadPdf/LUNG_DISEASES_FOR_PNEUMONIA_AND_COVID_19_USING_MACHINE_AND_DEEP_LEARNING_TECHNIQUES_ijariie23729.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 11/12/2024 7:01:06 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Daul power generation by using solar and windmill generatorElectrical EngineeringAditya suresh koli Download
Smart Mini Solar Highmast SystemElectrical EngineeringMr.K.P.Jadhav Download
Design and implementation of solar powered anti smuggling system for treesElectrical engineering Vidya Shinde Download
Design and Implementation of a Solar Powered Multi-Port EV Charging Station Using PWMBased PI ControlElectrical and Electronics EngineeringManda Chakradev Santosh Pavan Kumar Download
INNOVACAP:Design And Implementation Of An IoT-Based Smart Helmet for Accident Detection and Rider SafetyElectrical And Electronics Engineeringvana srinu Download
A Data-Driven Approach to Energy Management in Smart BuildingsElectrical and electronics engineering Lagadapati.Santhi Sri Download
Dynamic Wireless Charging of Electrical VehiclesElectrical and Electronics EngineeringDr.N.C.Kotaiah Download
Smart Monitoring & Fault Detection System for Power Transmission Lines using digital sensorsElectrical and Electronics EngineeringVALI MAHESH Download
Sustainable Energy Generation From Waste MaterialsElectrical EngineeringAchal M. Hirapure Download
Automatic Phase Selection System for Uninterrupted Power SupplyElectrical and Electronics Engineering K. Govinda Raju Download
Edge AI enabled smart vision assistant for visually challenged individualsElectrical and electronics engineering Peddinti Keerthana Download
Industrial Energy Monitoring and Smart Control Using IoTElectrical and Electronics EngineeringGade Jagadeesh Download
DIFFERENT IOT PLATFORMS FOR INTELLIGENT AUTOMATIONIOT, EMBEDDED SYSTEMSCH B R SRIKANTH Download
A Quasi Single Stage Buck-Boost Inverter with High Reliability and EfficiencyElectrical EngineeringKhurshid Alam Download
DESIGN AND DEVELOPMENT OF DYNAMIC POWER DISTRIBUTION AND MANAGEMENT SYSTEM USING ARDUINO FOR SOLAR POWERABLE INVERTER SYSTEMELECTRICAL AND ELECTRONIC ENGINEERINGENGR. O.P AJAYI Download
12