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Volume 9 | Issue 6 |

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  Paper Title: A STUDY ON THE IMPACT OF CSR ON FINANCIAL PERFORMANCE OF TOP COMPANIES IN INDIA

  Author Name(s): VINOD KUMAR

  Published Paper ID: - IJCRT2106340

  Register Paper ID - 208666

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106340 and DOI :

  Author Country : Indian Author, India, 110032 , DELHI, 110032 , | Research Area: Commerce All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106340
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  Title: A STUDY ON THE IMPACT OF CSR ON FINANCIAL PERFORMANCE OF TOP COMPANIES IN INDIA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

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

 Subject Area: Commerce All

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: c875-c879

 Year: June 2021

 Downloads: 1195

  E-ISSN Number: 2320-2882

 Abstract

This Study investigates the impact CSR has on the financial performance of companies using annual data ranging from 2014 to 2019 in India. Correlation analysis and Regression analysis have been used in this study to find the relationship and the impact on the variables. The results reveal that CSR has a positive significant influence on Net profits of the company.


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  Paper Title: SURVEY PAPER ON DIFFERENT TYPES OF TECHNIQUES USED FOR CREDIT CARD FRAUD DETECTION

  Author Name(s): Nissy Sarah Thomas, Stephie Sara Philipose, Sam G.Benjamin, Dr Radhakrishnan B

  Published Paper ID: - IJCRT2106339

  Register Paper ID - 208691

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106339 and DOI :

  Author Country : N, India, 691553 , Adoor, 691553 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106339
Published Paper PDF: download.php?file=IJCRT2106339
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  Title: SURVEY PAPER ON DIFFERENT TYPES OF TECHNIQUES USED FOR CREDIT CARD FRAUD DETECTION

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

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

 Subject Area: Science and Technology

 Author type: N

 Pubished in Volume: 9

 Issue: 6

 Pages: c869-c874

 Year: June 2021

 Downloads: 1164

  E-ISSN Number: 2320-2882

 Abstract

Credit Card fraud detection is considered as one of the major challenge that the digital world witnessed today. During this pandemic situation the use of credit card transactions has been increased tremendously. Hence fraud transactions also . The credit card fraudulent becomes a major security threat faced by the financial industry. Many modern techniques like genetic algorithm, machine learning, data mining, fuzzy logic etc has been used vividly used for detecting such fraud transactions. A clear analyzing and sound understanding about all these techniques will give an efficient credit card fraud detection system. This paper aims to presents survey of various techniques used in credit card fraud detection and evaluates each approach based on defined design criteria.


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 Keywords

Machine Learning, Prediction, Classification Technique, Accuracy,Hidden Markovt,Logistic Regression

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  Paper Title: CYBER STALKING: AN OPEN SOURCE INTELLIGENCE

  Author Name(s): Rajratna Jadhav, Prof. R. N. Mangoli

  Published Paper ID: - IJCRT2106338

  Register Paper ID - 208712

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106338 and DOI :

  Author Country : Indian Author, India, 591156 , Belagavi, 591156 , | Research Area: Social Science All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106338
Published Paper PDF: download.php?file=IJCRT2106338
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106338.pdf

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  Title: CYBER STALKING: AN OPEN SOURCE INTELLIGENCE

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

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

 Subject Area: Social Science All

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: c865-c868

 Year: June 2021

 Downloads: 1119

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Multi-dimensional, Cyber crime, Cyber Stalking

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  Paper Title: ANALYSIS OF BACTERIAL FLORA IN DENTAL CARIES

  Author Name(s): Dr. ABHISHEK KAUSHIK

  Published Paper ID: - IJCRT2106337

  Register Paper ID - 208171

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106337 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106337
Published Paper PDF: download.php?file=IJCRT2106337
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106337.pdf

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  Title: ANALYSIS OF BACTERIAL FLORA IN DENTAL CARIES

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

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

 Subject Area: Science and Technology

 Author type: N

 Pubished in Volume: 9

 Issue: 6

 Pages: c809-c864

 Year: June 2021

 Downloads: 1158

  E-ISSN Number: 2320-2882

 Abstract

Dental caries is AN irreversible microbic sickness of the calcified tissues of the teeth, characterized by demineralization of the inorganic portion and destruction of the organic substance of the tooth, which frequently results in cavitation. Understanding the polymicrobial ecology in pulp-dentin complicated & periapical tissues is very important for the reduction and elimination of microorganism infection. The present study aims to spot the predominant aerobic and anaerobic microorganisms in varied stages of a dentinal cavity, pulpal and periapical lesions, thus providing a principle for sickness bar and higher treatment set-up AIMS AND OBJECTIVES Quantitative analysis of predominant microbial species in Enamel caries, Dentinal caries, and in pulpal infections without periapical lesion and with periapical lesion. METHODOLOGY Collection of samples categorized Into 4 groups to identify the predominant aerobic and anaerobic microorganisms in various stages of dentinal caries, pulpal and periapical lesions In each group 2 samples will be collected for aerobic and anaerobic culture. Under strict isolation with rubber dam, Dentinal caries and Enamel caries from the subjects teeth will be excavated using sterilised sharp spoon excavator . Superficial enamel and dentinal caries has to be removed before entering pulp chamber using high speed airotor hand piece. Under strict isolation with rubber damsamples from the subjects teeth will be excavated using sterile sharp spoon excavator and root canal instruments from the pulp chamber and root canal .Samples were collected in transporting medium and sent to laboratory CONCLUSION The study shows the quantity and prevalence of anaerobic and aerobic bacterias in each satge of dental caries.


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 Keywords

Dental caries, Streptococcus spp, staphylococcus species ,pulpal infecton,

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  Paper Title: PREDICTION OF SKIN DISEASES USING BIG DATA TECHNIQUES

  Author Name(s): MRS. SHUNMUGA PRIYA K, DR(MRS) SELVI V

  Published Paper ID: - IJCRT2106336

  Register Paper ID - 208579

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106336 and DOI :

  Author Country : Indian Author, India, 600097 , Chennai, 600097 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106336
Published Paper PDF: download.php?file=IJCRT2106336
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106336.pdf

  Your Paper Publication Details:

  Title: PREDICTION OF SKIN DISEASES USING BIG DATA TECHNIQUES

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: c800-c808

 Year: June 2021

 Downloads: 1103

  E-ISSN Number: 2320-2882

 Abstract


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  Paper Title: PREDICTION OF PHISHING WEBSITE FOR DATA SECURITY USING VARIOUS MACHINE LEARNING ALGORITHMS

  Author Name(s): P. Vimala Manohara Ruth, E. Haritha, N. Shiva Kumar, Dr. Y. Rama Devi

  Published Paper ID: - IJCRT2106335

  Register Paper ID - 208494

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106335 and DOI :

  Author Country : Indian Author, India, 500075 , Hyderabad, 500075 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106335
Published Paper PDF: download.php?file=IJCRT2106335
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106335.pdf

  Your Paper Publication Details:

  Title: PREDICTION OF PHISHING WEBSITE FOR DATA SECURITY USING VARIOUS MACHINE LEARNING ALGORITHMS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

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

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: c792-c799

 Year: June 2021

 Downloads: 1164

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Phishing, Logistic Regression, Support Vector Machine, Decision Tree, Random Forest, XGBoost Classifier

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  Paper Title: COVID-19 & HIGHER EDUCATION: ROLE OF PLACEMENT CELL IN HIGHER EDUCATION A CASE STUDY OF KARNATAKA

  Author Name(s): Dr. Saraswathi. K

  Published Paper ID: - IJCRT2106334

  Register Paper ID - 208540

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106334 and DOI :

  Author Country : Indian Author, India, 560091 , srigandadakaval, 560091 , | Research Area: Arts All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106334
Published Paper PDF: download.php?file=IJCRT2106334
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106334.pdf

  Your Paper Publication Details:

  Title: COVID-19 & HIGHER EDUCATION: ROLE OF PLACEMENT CELL IN HIGHER EDUCATION A CASE STUDY OF KARNATAKA

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

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

 Subject Area: Arts All

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: c782-c791

 Year: June 2021

 Downloads: 1105

  E-ISSN Number: 2320-2882

 Abstract

Education and Employability are needed for the students. Higher Education should develop employability among the candidates. After their education Employment either in the Government or in the Private sector should be deployed. Or they may start their own business or can become Entrepreneurs. But in India demand for labour is remain high, but the mismatch between employer demands and job applicants skills Less than half of the Indian graduates are employable, reveals the eighth edition of the India Skills Report (ISR) of 2021, as many as 45.9 percent of graduates are employable.


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Higher Education, Employability, Employment, Placement Cells, Karnataka

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  Paper Title: STUDY ON AWARENESS OF FINANCIAL LITERACY AMONG VILLAGE YOUNGSTER'S: WITH SPECIAL REFERENCES TO EDAYUR PANCHAYATH, MALAPPURAM DISTRICT

  Author Name(s): Anil Puthanazhi

  Published Paper ID: - IJCRT2106333

  Register Paper ID - 208653

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106333 and DOI :

  Author Country : Indian Author, India, 676552 , Malappuram, 676552 , | Research Area: Commerce All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106333
Published Paper PDF: download.php?file=IJCRT2106333
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106333.pdf

  Your Paper Publication Details:

  Title: STUDY ON AWARENESS OF FINANCIAL LITERACY AMONG VILLAGE YOUNGSTER'S: WITH SPECIAL REFERENCES TO EDAYUR PANCHAYATH, MALAPPURAM DISTRICT

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

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

 Subject Area: Commerce All

 Author type: Indian Author

 Pubished in Volume: 9

 Issue: 6

 Pages: c767-c781

 Year: June 2021

 Downloads: 1131

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Financial literacy, Financial Inclusion, Financial Planning

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  Paper Title: TRANSPORT PROPERTIES OF SUPRATHERMAL ELECTRON GENERATION IN PLASMA CHANNEL BY INTENSE SHORT-PULSE LASER

  Author Name(s): Sonu Sen

  Published Paper ID: - IJCRT2106332

  Register Paper ID - 208688

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106332 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106332
Published Paper PDF: download.php?file=IJCRT2106332
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106332.pdf

  Your Paper Publication Details:

  Title: TRANSPORT PROPERTIES OF SUPRATHERMAL ELECTRON GENERATION IN PLASMA CHANNEL BY INTENSE SHORT-PULSE LASER

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

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

 Subject Area: Science and Technology

 Author type: N

 Pubished in Volume: 9

 Issue: 6

 Pages: c764-c766

 Year: June 2021

 Downloads: 1108

  E-ISSN Number: 2320-2882

 Abstract

An intense short-pulse laser through underdense plasma expels electrons and ions from the focal spot by the ponderomotive pressure and forms a channel, which acts as a propagation guide for the laser beam. Transport properties of suprathermal electrons has been observed peaked in the direction of laser propagation and having energy spectra of thermal character. Often one finds two populations of the electron with two distinct temperatures. Based on this analogy in the present paper we make an analytical investigation of transport properties that produce such electron distributions introduced through relativistic ponderomotive force. For the given values of plasma frequency and laser frequency, two populations of the electron with two distinct temperatures are characterized by dimensionless power and dimensionless beam width parameter. The dependence of the dielectric constant of plasma on dimensionless power in relativistic laser-plasma interaction has been studied. The variation of beam width with the distance of propagation has also been obtained for typical values of parameters in plasma for both populations of the electron with distinct temperatures.


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 Keywords

Self-focusing, Suprathermal Electron, Plasma Channel.

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  Paper Title: MACHINE LEARNING TECHNIQUES FOR CUSTOMER RELATIONSHIP MANAGEMENT

  Author Name(s): Arun Velu

  Published Paper ID: - IJCRT2106331

  Register Paper ID - 208740

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2106331 and DOI :

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

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2106331
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  Title: MACHINE LEARNING TECHNIQUES FOR CUSTOMER RELATIONSHIP MANAGEMENT

 DOI (Digital Object Identifier) :

 Pubished in Volume: 9  | Issue: 6  | Year: June 2021

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

 Subject Area: Science and Technology

 Author type: N

 Pubished in Volume: 9

 Issue: 6

 Pages: c753-c763

 Year: June 2021

 Downloads: 1154

  E-ISSN Number: 2320-2882

 Abstract

For a long time now, customer relationship management has been a crucial part of organizations aiming at enhancing their customer experience. In recent years, machine learning and its varying techniques have changed how organizations interact with their customers through data analytics or analysis. Machine learning is a branch of artificial intelligence that has increased its reputation and evolved into a very successful and powerful technology in recent years. As such, the use of machine techniques in customer relationship management systems can prove very advantageous and robust, which can ultimately lead to higher customer satisfaction rates, reduce the churn rate, and even increase revenues. This research paper examines the ways that machine learning techniques are used in customer relationship management. Further, the article also discusses the advantages of using machine learning in CRM and how customer relationship management has changed in recent years. Therefore, this paper major aims at answering the questions of how and why machine learning and its techniques are used in customer relationship management.


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Machine Learning, Management, CRM, Data Analysis and

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