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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

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Volume 9 | Issue 10 |

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  Paper Title: EXPLORING THE ANTIBACTERIAL AND ANTIFUNGAL POTENTIAL OF ETHANOLIC LEAF EXTRACTS OF OCIMUM SANCTUM L.

  Author Name(s): PATEL ASHOK H.

  Published Paper ID: - IJCRT2110182

  Register Paper ID - 211248

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2110182 and DOI :

  Author Country : Indian Author, India, 384002 , MEHSANA, 384002 , | Research Area: Life Sciences All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2110182
Published Paper PDF: download.php?file=IJCRT2110182
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2110182.pdf

  Your Paper Publication Details:

  Title: EXPLORING THE ANTIBACTERIAL AND ANTIFUNGAL POTENTIAL OF ETHANOLIC LEAF EXTRACTS OF OCIMUM SANCTUM L.

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 10  | Year: October 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Life Sciences All

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 10

 Pages: b543-b549

 Year: October 2021

 Downloads: 975

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

KEYWORDS: Ocimum sanctum L., Ethanolic, E.Coli - Escherichia coli., Bacillus subtilis, Yeast - Saccharomyces cerevisiae, Microliter, Inhibitory concentration.

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: DEEP LERANING BASED DETECTION MODEL FOR CORONAVIRUS (COVID-19) USING CT AND X-RAY IMAGE DATA

  Author Name(s): Harshita Dandotiya, Prof. Jitendra Tyagi

  Published Paper ID: - IJCRT2110181

  Register Paper ID - 212199

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2110181 and DOI :

  Author Country : N, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2110181
Published Paper PDF: download.php?file=IJCRT2110181
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2110181.pdf

  Your Paper Publication Details:

  Title: DEEP LERANING BASED DETECTION MODEL FOR CORONAVIRUS (COVID-19) USING CT AND X-RAY IMAGE DATA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 10  | Year: October 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: N

 Pubished in Volume: 9

 Issue: 10

 Pages: b535-b542

 Year: October 2021

 Downloads: 863

  E-ISSN Number: 2320-2882

 Abstract

COVID-19 is extremely infectious that spreads quickly from across the world, making early diagnosis critical. COVID-19 diagnosis is critical. Numerous investigations have been performed to ascertain if patients' chest X-rays, as well as computed tomography (CT), scans reveal COVID-19 infection. COVID-19 illness results on computed tomography (CT), as well as X-ray imaging, are like those of other lung infections, making it problematic for medical experts to differentiate COVID-19. The purpose of this research has been to determine the role of machine learning, deep learning, or pictures processing within fast or precise identification of COVID19 from two of the most frequently used medical imaging modalities, chest X-ray or CT pictures. We evaluated performance of ML and DL techniques on chest X-ray pictures as well as CT scans to COVID-19 diagnosis in this research. The proposed convolutional neural networks (CNNs) using the Alexnet Model for CAD of coronavirus from CT and X-ray pictures. The efficiency of this technique was checked on the data set obtained. We classified COVID-19 CT & X-ray scans as well as examined the evolution of the condition of the patients via CT scans. Accuracy of these techniques varied from 93.25 percent to more than 99.82 percent, suggesting that machines, as well as deep learning methods, apply to the clinical diagnosis of COVID-19. The trials carried out in this research have shown the efficacy of the pretrained COVID-19 alexnet model of CNN.


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COVID-19, Machine Learning, Deep Learning, CNN, Alexnet Model.

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  Paper Title: THE REBUKE OF THE MARGINALISED AS SEEN IN THE NOVEL UNTOUCHABLE BY MULKRAJ ANAND

  Author Name(s): Vinila Dani D A

  Published Paper ID: - IJCRT2110180

  Register Paper ID - 212394

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2110180 and DOI :

  Author Country : Indian Author, India, 641016 , Coimbatore, 641016 , | Research Area: Languages

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2110180
Published Paper PDF: download.php?file=IJCRT2110180
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2110180.pdf

  Your Paper Publication Details:

  Title: THE REBUKE OF THE MARGINALISED AS SEEN IN THE NOVEL UNTOUCHABLE BY MULKRAJ ANAND

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 10  | Year: October 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Languages

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 10

 Pages: b530-b534

 Year: October 2021

 Downloads: 917

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Lower Caste, Dalit, Sufferings

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: SYSTEMATIC ACCOUNT OF GENUS EUGLENA FROM DISTRICT NASHIK, (M.S.) INDIA.

  Author Name(s): Basarkar Udaya Ganesh, Patil(Behere) Kiran Prakash

  Published Paper ID: - IJCRT2110179

  Register Paper ID - 212456

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2110179 and DOI : http://doi.one/10.1729/Journal.28349

  Author Country : Indian Author, India, 422005 , Nashik, 422005 , | Research Area: Biological Science

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2110179
Published Paper PDF: download.php?file=IJCRT2110179
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2110179.pdf

  Your Paper Publication Details:

  Title: SYSTEMATIC ACCOUNT OF GENUS EUGLENA FROM DISTRICT NASHIK, (M.S.) INDIA.

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.28349

 Pubished in Volume: 9  | Issue: 10  | Year: October 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Biological Science

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 10

 Pages: b521-b529

 Year: October 2021

 Downloads: 946

  E-ISSN Number: 2320-2882

 Abstract

Euglena is unicellular green algae with two flagella, belongs to the group euglenoids. It is found mostly in small fresh water pools rich in organic matter. These are grow luxuriantly in such waters imparting its colour, dark green to the water body. The present study reveals 28 species of Euglena. These are collected from various parts of Nashik and its tahsils. Among these Euglena acus var. rigida, E. limnophila var. minor, E. obtusa are reported new to India, Few taxa are also little known and appear as first reports for Maharashtra, these are Euglena rostrata, E. wangi .Rests are explored first time from this region. This enriches the algal flora of Nashik.


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 Keywords

Systematic account, Diversity, Euglenoids, Euglena, Nashik

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  Paper Title: A REVIEW ON SURFACE FAULT IDENTIFICATION USING MACHINE LEARNING TECHNIQUES

  Author Name(s): S.Jeya Mary, A.BRITTO

  Published Paper ID: - IJCRT2110178

  Register Paper ID - 212486

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2110178 and DOI :

  Author Country : N, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2110178
Published Paper PDF: download.php?file=IJCRT2110178
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2110178.pdf

  Your Paper Publication Details:

  Title: A REVIEW ON SURFACE FAULT IDENTIFICATION USING MACHINE LEARNING TECHNIQUES

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 10  | Year: October 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: N

 Pubished in Volume: 9

 Issue: 10

 Pages: b517-b520

 Year: October 2021

 Downloads: 754

  E-ISSN Number: 2320-2882

 Abstract

Automated computer-vision-based defect detection has received much attention with the increasing surface quality assurance demands for the industrial manufacturing It can be divided into colour analysis, dimension verification, and surface defect detection, which is the main purpose of our work. Defects detection is still based on the judgment of human operators while most of the other manufacturing activities are automated so, our work is a quality control enhancement by integrating a visual control stage using image processing and morphological operation techniques before the packing operation to improve the homogeneity of batches received by final users. An survey of automated defect detection and classification technique that can ensured the better quality of tiles in manufacturing process as well as production rate.


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 Keywords

Control, Defects Detection, Morphological, Quality, Segmentation

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  Paper Title: EVALUATING ERROR IN DEMAND FORECASTING ERROR CALCULATION DUE TO MINIMUM DEMAND DURING COVID-19 LOCKDOWN

  Author Name(s): Prateek Pathak, Dhananjay Yadav, Vivek Singh

  Published Paper ID: - IJCRT2110177

  Register Paper ID - 212477

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2110177 and DOI :

  Author Country : Indian Author, India, 222002 , JAUNPUR, 222002 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2110177
Published Paper PDF: download.php?file=IJCRT2110177
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2110177.pdf

  Your Paper Publication Details:

  Title: EVALUATING ERROR IN DEMAND FORECASTING ERROR CALCULATION DUE TO MINIMUM DEMAND DURING COVID-19 LOCKDOWN

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 10  | Year: October 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 10

 Pages: b507-b516

 Year: October 2021

 Downloads: 874

  E-ISSN Number: 2320-2882

 Abstract


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  Paper Title: ANALYSIS ON EXTRACTING COMPLEX PATTERNS AND THE APPLICATION OF DEEP LEARNING ALGORITHMS AND ARCHITECTURES FOR BIG DATA ANALYTICS

  Author Name(s): Mairaj Mohsin Mohammed

  Published Paper ID: - IJCRT2110176

  Register Paper ID - 212462

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2110176 and DOI :

  Author Country : N, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2110176
Published Paper PDF: download.php?file=IJCRT2110176
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2110176.pdf

  Your Paper Publication Details:

  Title: ANALYSIS ON EXTRACTING COMPLEX PATTERNS AND THE APPLICATION OF DEEP LEARNING ALGORITHMS AND ARCHITECTURES FOR BIG DATA ANALYTICS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 10  | Year: October 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: N

 Pubished in Volume: 9

 Issue: 10

 Pages: b501-b506

 Year: October 2021

 Downloads: 819

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Data science, Deep learning, Big data.

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  Paper Title: A CORRELATIVE STUDY ON ORAL HEALTH STATUS AND KNOWLEDGE ON ORAL HEALTH HAZARDS AMONG TOBACCO CONSUMING ADULTS OF SELECTED COMMUNITIES OF DATIA M.P.

  Author Name(s): Gaurav Singh

  Published Paper ID: - IJCRT2110175

  Register Paper ID - 212450

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2110175 and DOI :

  Author Country : Indian Author, India, 328030 , Dholpur , 328030 , | Research Area: Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2110175
Published Paper PDF: download.php?file=IJCRT2110175
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2110175.pdf

  Your Paper Publication Details:

  Title: A CORRELATIVE STUDY ON ORAL HEALTH STATUS AND KNOWLEDGE ON ORAL HEALTH HAZARDS AMONG TOBACCO CONSUMING ADULTS OF SELECTED COMMUNITIES OF DATIA M.P.

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 10  | Year: October 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science All

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 10

 Pages: b485-b500

 Year: October 2021

 Downloads: 803

  E-ISSN Number: 2320-2882

 Abstract

ABSTRACT Background Tobacco use is generally perceived as an adult problem. The diseases widely caused by tobacco are mostly seen to afflict the older population, yet tobacco use most often starts in youth, vast majority start consuming tobacco before the age of 25 years. Tobacco use has injurious effects on oral health. The oral health is an important aspect of community health. To plan important interventions it is necessary to find out the prevalence and factors associated with them. This study is aimed at assessing the knowledge of adults on hazards of tobacco consumption on oral health and to assess their oral health status. Objectives of the study 1.To assess the oral health status of adults consuming tobacco using observational checklist. 2.To determine the knowledge on hazards of tobacco consumption on oral health. 3.To find an association between oral health status and knowledge on hazards of tobacco consumption on oral health. Methods A descriptive correlative approach was used for this study. The study was carried out in Datia. Research design was correlative design. The sample comprised of 100 adults consuming tobacco (50 tobacco smokers and 50 tobacco chewers). Sample was selected using purposive sampling technique. Formal written permission was obtained to conduct the study and informed consent was obtained from the adults prior to data collection process. Using a structured interview schedule and observation checklist data was collected. Data were analysed using descriptive and inferential statistics (unpaired t-test and chi-square test). Result The results of this study showed that there was no significant difference between the knowledge score of tobacco smokers and tobacco chewers (t 98= 0.7, p >0.05). There was no significant difference between oral health status of the tobacco smokers and tobacco chewers (t 98 = 1.85, p >0.05). There was no correlation between knowledge on hazards of tobacco consumption on oral health and oral health status of the smokers (r = 0.0015, p > 0.05). There was no correlation between knowledge on hazards of tobacco consumption on oral health and oral health status of the chewers (r = 0.271, p > 0.05). The computed chi square value showed significant association between occupation of tobacco smokers and oral health status (21 =9.09, p< 0.05). The statistical significance was at 0.05 level Interpretation and Conclusion The study revealed that even though the adults had good knowledge on hazards of tobacco consumption on oral health they had poor oral health status. The findings of the study support the need for conducting educational programme to increase the knowledge of adults on tobacco consumption and its related problems. Educating the youth and adults and providing them with correct information can help them to avoid bad habits and develop as healthy citizens. Keyword: Knowledge on hazards of tobacco consumption on oral health; oral health status.


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Keyword: Knowledge on hazards of tobacco consumption on oral health; oral health status.

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  Paper Title: IMPACT OF CELEBRITY ENDORSEMENTS ON THE CONSUMER PERCEPTION OF LUXURY WATCHES IN UAE

  Author Name(s): Dr. Sunaina Sardana

  Published Paper ID: - IJCRT2110174

  Register Paper ID - 212463

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2110174 and DOI :

  Author Country : N, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2110174
Published Paper PDF: download.php?file=IJCRT2110174
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2110174.pdf

  Your Paper Publication Details:

  Title: IMPACT OF CELEBRITY ENDORSEMENTS ON THE CONSUMER PERCEPTION OF LUXURY WATCHES IN UAE

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 10  | Year: October 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: N

 Pubished in Volume: 9

 Issue: 10

 Pages: b469-b484

 Year: October 2021

 Downloads: 882

  E-ISSN Number: 2320-2882

 Abstract


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  Paper Title: A STUDY ON THE EFFECTIVENESS OF SARANYA SCHEME OF WOMEN EMPOWERMENT: WITH SPECIAL REFERENCE TO KATTAPPANA MUNICIPALITY

  Author Name(s): Arya P B

  Published Paper ID: - IJCRT2110173

  Register Paper ID - 212458

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2110173 and DOI :

  Author Country : N, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2110173
Published Paper PDF: download.php?file=IJCRT2110173
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2110173.pdf

  Your Paper Publication Details:

  Title: A STUDY ON THE EFFECTIVENESS OF SARANYA SCHEME OF WOMEN EMPOWERMENT: WITH SPECIAL REFERENCE TO KATTAPPANA MUNICIPALITY

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 10  | Year: October 2021

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: N

 Pubished in Volume: 9

 Issue: 10

 Pages: b460-b468

 Year: October 2021

 Downloads: 894

  E-ISSN Number: 2320-2882

 Abstract

A self-employment scheme is a monetary assistance to the economically weaker sections for establishing their business. Saranya is a self-employment scheme launched by the government of Kerala for uplifting the backward and segregated women in the society. They includes Widows, divorced women, deserted women, and spinsters above the age of 30 and unwedded mothers belonging to scheduled tribe. Under this scheme Rs.50000/- is given is given as interest free loan for starting self employment out of which 50% of loan amount up to a maximum of Rs.25000/- will be given as government subsidy. To return the loan amount there will be 60 monthly equal installments. The role of women has a significant role in the development of economy. Idukki is a financially backward district in kerala. Kattappana is a municipal town in the sahyadri of kerala state. Therefore the researcher feels that it will be useful and interesting to make a study to know about the effectiveness of Saranya scheme of women empowerment in Kattappana Municipality.


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 Keywords

Self employment, Saranya scheme, Widows, Divorced women, deserted women, spinsters,

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Call For Paper March 2026
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
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