Important Details
IJCRT - International Peer Reviewed, Open Access Journal, Multidisciplinary, Monthly, Nominal(Low) Fees for Professional Research Services International Journal of Creative Research Thoughts - IJCRT Peer Review Journal, Refereed Journal, Peer Reviewed Journal , Referred Journal and Indexed Journal, Open access, Online and Print Journal,international Journal Open Access, Accepted by Indian and foreign university ,IJCRT Followed Norms, guidelines, requirement, listing criteria and methodology of score/point also applied from: Scopus , Web of Science , UGC Approved , UGC CARE, UGC-CARE .
UGC Approved Journal No: 49023 (18)
UGC approval Link
https://ijcrt.org/ugc%20approval.jpg
All Policy and Approval
Please Like Our Facebook Page and get 100 of in DOI | DOI and Hard copy of Certificate Provide if required. | www.IJCRT.org | editor@IJCRT.org | WhatsApp: 7990172303
Publication Details:
- Paper Submission : 30-Apr-2024. Call For Paper (Volume 12 | Issue 4 | Month- April 2024)
- Acceptance/Rejection Notification: Within 02-04 Days.
- Paper Publish: Within 02-04 Days after submitting all documents.
-
Submit Your Paper Any time There No deadline.
-
Publication fees with free DOI: 1500 INR for Indian author & 55$ for foreign International author.
Please Like Our Facebook Page and get 100 INR off in DOI | DOI and Hard copy of Certificate Provide if required.
Licence and Indexing
Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more | High Impact Factor: 7.97 | Digital object identifier (DOI) and Hard Copy of certificate Provided.
Licence
DOI
ISSN Approved impact factor: 7.97 
Creative Common 
Valid as per new UGC Gazette regulations 
INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 4 | Month- April 2024
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Contact Us Click Here
WhatsApp Contact Click Here
IJCRT Search Xplore - Search all paper by Paper Name , Author Name, and Title
Volume 9 | Issue 5 |
Volume 9 | Issue 5 | Month
Downlaod After Publication 1) Table of content index in PDF
2) Table of content index in HTML 2)Table of content index in HTML
3) Front Page 3) Front Page
4) Back Page 4) Back Page
5) Editor Board Member 5)Editor Board Member
6) OLD Style Issue 6)OLD Style Issue
 |
 |
|---|---|
| IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: PREDICTION OF COVID-19 USING SUPERVISED MACHINE LEARNING ALGORITHMS
Author Name(s): Harshitha P, Maddina sireesha
Published Paper ID: - IJCRT2105007
Register Paper ID - 205055
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105007 and DOI :
Author Country : Indian Author, India, 516101 , chittoor, 516101 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105007 Published Paper PDF: download.php?file=IJCRT2105007 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105007.pdf
Your Paper Publication Details:
Title: PREDICTION OF COVID-19 USING SUPERVISED MACHINE LEARNING ALGORITHMS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a48-a51
Year: May 2021
Downloads: 1352
E-ISSN Number: 2320-2882
Abstract
Machine learning (ML) based forecasting mechanisms have proved their significance to anticipate in preoperative outcomes to improve the decision making on the future course of actions .The ML models have long been used in many application domains which needed the identification and prioritization of adverse factors for a threat. Several prediction methods are being popularly used to handle forecasting problems. The ML models to forecast the number of upcoming patients affected by COVID-19 which is presently considered as a potential threat to mankind. The COVID -19 predicts the cases in particular area using machine learning algorithms.
Licence: creative commons attribution 4.0
License
Creative Commons Attribution 4.0 and The Open Definition
Keywords
prediction of covid-19, supervised machine learning algorithms
License
Creative Commons Attribution 4.0 and The Open Definition
Paper Title: CHRONIC DISEASE DETECTION USING DEEP LEARNING
Author Name(s): Vinay Kumar Singh, Shiva Khattri, Dr. Om Prakash Yadav, Prabin Raymajhi
Published Paper ID: - IJCRT2105006
Register Paper ID - 206384
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105006 and DOI :
Author Country : Indian Author, India, 221001 , Varanasi, 221001 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105006 Published Paper PDF: download.php?file=IJCRT2105006 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105006.pdf
Your Paper Publication Details:
Title: CHRONIC DISEASE DETECTION USING DEEP LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a43-a47
Year: May 2021
Downloads: 1383
E-ISSN Number: 2320-2882
Abstract
Pneumonia is a life-threatening and contagious disease of the respiratory system caused mainly by bacteria, fungi, or viruses that infect a person's lungs with a load of fluid. Common technique are used to diagnose pneumonia is chest x-ray report and it needs a medical professional to evaluate the outcome of the X-ray report. Earlier troublesome methods of detecting pneumonia increase mortality due to unawareness with improper diagnosis and treatment. Computer technology is emerging these days, the development of an automatic system to identify pneumonia and treating the disease is now possible especially if the patient is in a distant area and medical services are limited. The main aim of this paper is to identify pneumonia automatically using X-rays images. This study will provide accurate detection of pneumonia and intends to apply deep learning methods to ease the problem. Convolutional Neural Network is highly optimized that perform the complex task of detecting diseases like pneumonia to assist medical experts in the diagnosis and possible treatment of the disease. This model is trained to classify between normal and pneumonia from the chest X-ray images. The first model achieves an accuracy of 95.64% and the second model achieves accuracy of 94.92%. Adam optimizer is used to optimize the model.
Licence: creative commons attribution 4.0
License
Creative Commons Attribution 4.0 and The Open Definition
Keywords
Pneumonia, Chest X-ray, Convolutional Neural Networks, Disease Detection
License
Creative Commons Attribution 4.0 and The Open Definition
Paper Title: A STUDY ON CUSTOMER PREFERENCE AND SATISFACTION TOWARDS ANDROID MOBILES WITH SPECIAL REFERENCE TO BENGALURU
Author Name(s): Deepthi S, Shalini Christina V, Mahalakshmi V, Nethra
Published Paper ID: - IJCRT2105005
Register Paper ID - 206504
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105005 and DOI :
Author Country : Indian Author, India, 560027 , Bengaluru, 560027 , | Research Area: Management All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105005 Published Paper PDF: download.php?file=IJCRT2105005 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105005.pdf
Your Paper Publication Details:
Title: A STUDY ON CUSTOMER PREFERENCE AND SATISFACTION TOWARDS ANDROID MOBILES WITH SPECIAL REFERENCE TO BENGALURU
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Management All
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a30-a42
Year: May 2021
Downloads: 1310
E-ISSN Number: 2320-2882
Abstract
Smart phones have become a vital element of public life because of satisfaction and dependency on these smart phones are really very high. This article studies the customer satisfaction on usage of various smartphones. The sample of 50 has been collected from various colleges between the age of 16-25 years in Bangalore. The research is based on descriptive method under which, Questionnaire method is being used.From this study it is concluded that the customers are more interested in product features like outer appearance (design), camera and battery life. So, the manufacturers can concentrate more on these factors while manufacturing the product and also that the customers prefer to buy a cell phone through company showroom and majority of the respondents who are using Samsung mobile phones responded that they prefer to buy Redmi
Licence: creative commons attribution 4.0
License
Creative Commons Attribution 4.0 and The Open Definition
Keywords
Keywords: Smartphone, Customer Satisfaction, Mobile Phone users
License
Creative Commons Attribution 4.0 and The Open Definition
Paper Title: KUMAUANI LOKSANSKRATI ME MAHILA KALAKARO KA YOGADAN
Author Name(s): Dr. Nimrla joshi, Prabha bisht
Published Paper ID: - IJCRT2105004
Register Paper ID - 206476
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105004 and DOI :
Author Country : N, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105004 Published Paper PDF: download.php?file=IJCRT2105004 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105004.pdf
Your Paper Publication Details:
Title: KUMAUANI LOKSANSKRATI ME MAHILA KALAKARO KA YOGADAN
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: N
Pubished in Volume: 9
Issue: 5
Pages: a23-a29
Year: May 2021
Downloads: 1311
E-ISSN Number: 2320-2882
Abstract
KUMAUANI LOKSANSKRATI ME MAHILA KALAKARO KA YOGADAN
Licence: creative commons attribution 4.0
License
Creative Commons Attribution 4.0 and The Open Definition
Keywords
KUMAUANI LOKSANSKRATI ME MAHILA KALAKARO KA YOGADAN
License
Creative Commons Attribution 4.0 and The Open Definition
Paper Title: ONLINE VEHICLE REGISTRATION
Author Name(s): A sivasankar Reddy, P Girish Kumar Reddy, P Anil Kumar Reddy
Published Paper ID: - IJCRT2105003
Register Paper ID - 206264
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105003 and DOI :
Author Country : Indian Author, India, 516162 , Kadapa, 516162 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105003 Published Paper PDF: download.php?file=IJCRT2105003 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105003.pdf
Your Paper Publication Details:
Title: ONLINE VEHICLE REGISTRATION
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a11-a22
Year: May 2021
Downloads: 1302
E-ISSN Number: 2320-2882
Abstract
Vehicle Registration System is a web application created in java and it is executed by utilizing windows apparatus. Vehicle registration system is principle module of smart road transport management solution , which mechanizes the vehicle registration cycle and makes it an extremely smooth ,easy ,secure interaction .The enrollment of these vehicle online will be a decent pacemaker as opposed to doing it physically .So here is a framework where we can enlistment of the vehicles on the web.
Licence: creative commons attribution 4.0
License
Creative Commons Attribution 4.0 and The Open Definition
Keywords
Vehicle registration process
License
Creative Commons Attribution 4.0 and The Open Definition
Paper Title: SMART CHARGING WITH SOLAR PANEL AND COMMUNICATION WITH LI-FI
Author Name(s): Dr. Amit Kumar Singh, Neeraj Bhatt, Md Kowser Uddin, Mithun Sarker, Tarra Suribabu
Published Paper ID: - IJCRT2105002
Register Paper ID - 206453
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105002 and DOI :
Author Country : Indian Author, India, 144401 , Jalandhar, 144401 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105002 Published Paper PDF: download.php?file=IJCRT2105002 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105002.pdf
Your Paper Publication Details:
Title: SMART CHARGING WITH SOLAR PANEL AND COMMUNICATION WITH LI-FI
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a5-a10
Year: May 2021
Downloads: 1335
E-ISSN Number: 2320-2882
Abstract
The project was developed as a part of importance of Solar charging in Electric Vehicle and the communication through Li-Fi along with it. The charging of the vehicle takes a lot of time and this time can be very boring for the user of the vehicle. To solve this problem and decrease the charging time of the vehicle this project is made. The charging will be done with the concept of Solar charging and instead of solar energy we will be using the LED light of high luminous intensity. The project will use the brightness of the Smd LEDs which have a very high luminous intensity and boost the charging of the battery. Along with the charging of the battery there will be a communication process through the solar panel with the concept of Li-Fi. This process will entertain the user of the car along with the fast charging.
Licence: creative commons attribution 4.0
License
Creative Commons Attribution 4.0 and The Open Definition
Paper Title: A SURVEY ON EXTRACTING AND ANALYZING ONLINE DATA FOR ENHANCEMENT IN RECRUITMENT PROCESS
Author Name(s): Hardik Kokate, Tushar Dhawal, Tanishq Bhargava, Dhatrik Reddy, Sparsh Giri
Published Paper ID: - IJCRT2105001
Register Paper ID - 206357
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2105001 and DOI :
Author Country : Indian Author, India, 411044 , Pune, 411044 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2105001 Published Paper PDF: download.php?file=IJCRT2105001 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2105001.pdf
Your Paper Publication Details:
Title: A SURVEY ON EXTRACTING AND ANALYZING ONLINE DATA FOR ENHANCEMENT IN RECRUITMENT PROCESS
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2021
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: a1-a4
Year: May 2021
Downloads: 1329
E-ISSN Number: 2320-2882
Abstract
Licence: creative commons attribution 4.0
License
Creative Commons Attribution 4.0 and The Open Definition
Keywords
data aggregation , data visualization , hiring process , effectiveness
License
Creative Commons Attribution 4.0 and The Open Definition
Paper Title: DATA SECURITY IN WSN USING SYMMETRIC KEY AP ALGORITHM
Author Name(s): Pawan Kumar Goel, Prof. (Dr.) Sarvottam Dixit
Published Paper ID: - IJCRT2005560
Register Paper ID - 213999
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2005560 and DOI :
Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2005560 Published Paper PDF: download.php?file=IJCRT2005560 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2005560.pdf
Your Paper Publication Details:
Title: DATA SECURITY IN WSN USING SYMMETRIC KEY AP ALGORITHM
DOI (Digital Object Identifier) :
Pubished in Volume: 9 | Issue: 5 | Year: May 2020
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 9
Issue: 5
Pages: 4174-4181
Year: May 2020
Downloads: 488
E-ISSN Number: 2320-2882
Abstract
Licence: creative commons attribution 4.0
License
Creative Commons Attribution 4.0 and The Open Definition
Call For Paper April 2024
Call For Papers
April 2024
Volume 12 | Issue 4
Last Date :
30-Apr-2024
Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
April 2024
Volume 12 | Issue 4
Last Date :
30-Apr-2024
Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
Published Issue Details
For Authors
Forms / Downloads
Other IMP Links
Indexing Partner
Research Area
LICENSE
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
DOI Details
CONFERENCE
CONFERENCE MANAGMENT & PUBLICATION CONFERENCE PROPOSAL
RECENT CONFERENCE
CONFERENCE PROPOSAL CONFERENCE PROCEEDINGS
CONFERENCE PROPOSAL CONFERENCE PROCEEDINGS
For Reviewer /Referral (RMS) Earn 500 per paper
Important Links
NEWS & Conference
Digital Library
IJCRT RMS | Earn 500 Per Paper.
Open Access
LICENSE
Indexing Partner
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
