Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.12 Issue.1

Submission
Last date
28-Feb-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-1. 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

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  Smart Healthcare Forgery Detection Using Deep Learning
PaperId: :  10489
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 3 2019
DUI:    16.0415/IJARIIE-10489
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Patel Purvisha DhavalkumarSilveroak college of engineering & technology

Abstract

Computer Engineering
Machine Learning , Deep Learning, Convolutional Neural Network , Healthcare System
The invention of new communication technologies, new features and facilities are provided in a smart healthcare framework. The features and facilities aim to provide a easy-to-use, accurate, and real-time healthcare service to clients. As health is a sensitive issue, it should be taken care of with utmost security and caution. In this way, the system works seamlessly and in real time. The bandwidth requirement of the proposed system is also reasonable. A new image forgery detection method based on deep learning technique, which utilizes a convolutional neural network (CNN). A image forgery detection method find the fraud medical images using the Convolutional neural network.The invention of new communication technologies, new features and facilities are provided in a smart healthcare framework. The features and facilities aim to provide a easy-to-use, accurate, and real-time healthcare service to clients. As health is a sensitive issue, it should be taken care of with utmost security and caution. In this way, the system works seamlessly and in real time. The bandwidth requirement of the proposed system is also reasonable. A new image forgery detection method based on deep learning technique, which utilizes a convolutional neural network (CNN). A image forgery detection method find the fraud medical images using the Convolutional neural network.

Citations

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

IJARIIE Patel Purvisha Dhavalkumar. "Smart Healthcare Forgery Detection Using Deep Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 3 2019 Page 1670-1674
MLA Patel Purvisha Dhavalkumar. "Smart Healthcare Forgery Detection Using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 5.3(2019) : 1670-1674.
APA Patel Purvisha Dhavalkumar. (2019). Smart Healthcare Forgery Detection Using Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education, 5(3), 1670-1674.
Chicago Patel Purvisha Dhavalkumar. "Smart Healthcare Forgery Detection Using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 3 (2019) : 1670-1674.
Oxford Patel Purvisha Dhavalkumar. 'Smart Healthcare Forgery Detection Using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 3, 2019, p. 1670-1674. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Smart_Healthcare_Forgery_Detection_Using_Deep_Learning_ijariie10489.pdf (Accessed : 04 August 2020).
Harvard Patel Purvisha Dhavalkumar. (2019) 'Smart Healthcare Forgery Detection Using Deep Learning', International Journal Of Advance Research And Innovative Ideas In Education, 5(3), pp. 1670-1674IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Smart_Healthcare_Forgery_Detection_Using_Deep_Learning_ijariie10489.pdf (Accessed : 04 August 2020)
IEEE Patel Purvisha Dhavalkumar, "Smart Healthcare Forgery Detection Using Deep Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 3, pp. 1670-1674, May-Jun 2019. [Online]. Available: http://ijariie.com/AdminUploadPdf/Smart_Healthcare_Forgery_Detection_Using_Deep_Learning_ijariie10489.pdf [Accessed : 04 August 2020].
Turabian Patel Purvisha Dhavalkumar. "Smart Healthcare Forgery Detection Using Deep Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 3 (04 August 2020).
Vancouver Patel Purvisha Dhavalkumar. Smart Healthcare Forgery Detection Using Deep Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : 04 August 2020]; 5(3) : 1670-1674. Available from: http://ijariie.com/AdminUploadPdf/Smart_Healthcare_Forgery_Detection_Using_Deep_Learning_ijariie10489.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 8/4/2020 5:36:38 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Unsupervised Contribution-Oriented Learning Model for Social Influence DetectionComputer EngineeringSnehal Mahjaan Download
DESIGN AND IMPLEMENTATION OF A BLUETOOTH-CONTROLLED ROBOTIC CAR USING ARDUINOComputer Mr. Swapnil Sanjay Bafana Download
AI-DRIVEN DEEPFAKE IDENTIFICATION IN REAL TIMEComputer EngineeringPavan Gajanan Bhonde Download
RESQ-BOTComputer Engineering Tiparkar Prathamesh Navnath Download
A Critical Review and Modern Contextualization of the 2009 Distributed Real-Time Computer Network Architecture (DRNA)Computer EngineeringNandishwar EN Download
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNINGComputer ScienceGuruprasad K Download
GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceRajshekar G Download
GEN-AI POWERED LIVER-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceDhananjay M Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2026. IJARIIE. All Rights Reserved.