Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
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-10,Issue-6. 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: :  PREDICTION OF MALARIAL INFECTION USING DEEP LEARNING
PaperId: :  18472
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 5 2022
DUI:    16.0415/IJARIIE-18472
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Karthiga MBannari Amman Institute of Technology
Janasruthi S UBannari Amman Institute of Technology
Lokitha SBannari Amman Institute of Technology

Abstract

Computer Engineering
Convolutional Neural Network, Transfer Learning, Image preprocessing process, VGG 19, deep learning
One of the most lethal and deadly diseases in the entire planet is malaria. Because of the plasmodium parasite, the mosquito is the main source of the disease. If it is not recognized and treated at an early stage, it could get worse and result in death. We have established procedures for diagnosing malaria, which involve experts looking at the blood cells under a microscope. One of the most popular methods for diagnosing malaria by a skilled microscopist is the rapid diagnosis test, however it takes a long time to do and can produce inaccurate results if there is a flaw or human error.We require a detecting method to raise awareness of these diseases in order to solve this issue. A component of artificial intelligence is deep learning. It includes a wide variety of algorithms that can be used to forecast any given natural event. The medical field heavily relies on artificial intelligence. Here, the picture preprocessing and feature extraction were done using a convolutional neural network. Building a model using CNN will require a huge amount of data so we have used the Transfer Learning-VGG model along with the CNN to reduce time and for better accuracy. In this paper, we are going to detect whether the patient has malaria or not by using deep learning and transfer learning techniques, then integrating it with the web application with the help of python libraries.

Citations

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

IJARIIE Karthiga M, Janasruthi S U, and Lokitha S. "PREDICTION OF MALARIAL INFECTION USING DEEP LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 5 2022 Page 2110-2119
MLA Karthiga M, Janasruthi S U, and Lokitha S. "PREDICTION OF MALARIAL INFECTION USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 8.5(2022) : 2110-2119.
APA Karthiga M, Janasruthi S U, & Lokitha S. (2022). PREDICTION OF MALARIAL INFECTION USING DEEP LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 8(5), 2110-2119.
Chicago Karthiga M, Janasruthi S U, and Lokitha S. "PREDICTION OF MALARIAL INFECTION USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 5 (2022) : 2110-2119.
Oxford Karthiga M, Janasruthi S U, and Lokitha S. 'PREDICTION OF MALARIAL INFECTION USING DEEP LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 5, 2022, p. 2110-2119. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/PREDICTION_OF_MALARIAL_INFECTION_USING_DEEP_LEARNING_ijariie18472.pdf (Accessed : 02 November 2022).
Harvard Karthiga M, Janasruthi S U, and Lokitha S. (2022) 'PREDICTION OF MALARIAL INFECTION USING DEEP LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 8(5), pp. 2110-2119IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/PREDICTION_OF_MALARIAL_INFECTION_USING_DEEP_LEARNING_ijariie18472.pdf (Accessed : 02 November 2022)
IEEE Karthiga M, Janasruthi S U, and Lokitha S, "PREDICTION OF MALARIAL INFECTION USING DEEP LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 5, pp. 2110-2119, Sep-Oct 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/PREDICTION_OF_MALARIAL_INFECTION_USING_DEEP_LEARNING_ijariie18472.pdf [Accessed : 02 November 2022].
Turabian Karthiga M, Janasruthi S U, and Lokitha S. "PREDICTION OF MALARIAL INFECTION USING DEEP LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 5 (02 November 2022).
Vancouver Karthiga M, Janasruthi S U, and Lokitha S. PREDICTION OF MALARIAL INFECTION USING DEEP LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 02 November 2022]; 8(5) : 2110-2119. Available from: https://ijariie.com/AdminUploadPdf/PREDICTION_OF_MALARIAL_INFECTION_USING_DEEP_LEARNING_ijariie18472.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 11/2/2022 4:21:41 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Development of Wireless Sensor Network Protocol using Fuzzy logic and Optimization Routing AlgorithmComputer ScienceMs.Dimpal Patel Download
GreenTech Urbanism: The Role of IoT and Machine Learning in Environmental MonitoringComputer Science and EngineeringSowmya Shetty Download
SURVEY ON DETECTION OF PHISHING WEBSITE USING MACHINE LEARNINGComputer Science and EngineeringYawalkar Prasad Pramod Download
Enhancement of Health Data Accuracy Using Neural Network Algorithmneaural networkGautam Prakash Download
AI-BASED PLACEMENT PARTNER: ENHANCING CAREER PREPARATION THROUGH ADVANCED LEARNING TECHNOLOGIESComputer Science & EngineeringSaranya MK Download
ARTIFICIAL INTELLIGENCE IN HEALTH CARE - AN OVERVIEWComputer EngineeringPaleti Surekha Download
A Comparative Study of Maze-Solving Algorithms: Performance, Complexity, and Practical Applications in AI and RoboticsComputer EngineeringNakka Sai Magh Reddy Download
Encryption and Decryption WebsiteComputer Science and EngineeringGokul Kumar R Download
Digital BiomarkersComputer EngineeringHemakanth Sharma R Download
ENSURING FAIRNESS AND TRANSPARENCY IN AI SYSTEMS FOR HEALTHCARE AND CRIMINAL JUSTICE APPLICATIONSComputer EngineeringManu Gowda Download
Utilising AI for Deepfake Detection: Strategies, Issues and Future OpportunitiesArtificial intelligence Suhas LK Download
Cryptography-An OverviewComputer EngineeringPeram Bairaveswar Reddy Download
The Internet of Things (IoT) in Smart CitiesComputer engineeringRahul Malagitti Download
Cloud Computing - An OverviewComputer EngineeringHarshith Y Download
Operations of Artifical Intelligence in 5g NetworkingComputer Engineering Chethan K Download
12