ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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)
IJCRT Journal front page | IJCRT Journal Back Page |
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 Published Paper PDF: download.php?file=IJCRT2106340 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106340.pdf
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
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.
Licence: creative commons attribution 4.0
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 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106339.pdf
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
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.
Licence: creative commons attribution 4.0
Machine Learning, Prediction, Classification Technique, Accuracy,Hidden Markovt,Logistic Regression
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
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
Licence: creative commons attribution 4.0
Multi-dimensional, Cyber crime, Cyber Stalking
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
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
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.
Licence: creative commons attribution 4.0
Dental caries, Streptococcus spp, staphylococcus species ,pulpal infecton,
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
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
Licence: creative commons attribution 4.0
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
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
Licence: creative commons attribution 4.0
Phishing, Logistic Regression, Support Vector Machine, Decision Tree, Random Forest, XGBoost Classifier
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
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
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.
Licence: creative commons attribution 4.0
Higher Education, Employability, Employment, Placement Cells, Karnataka
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
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
Licence: creative commons attribution 4.0
Financial literacy, Financial Inclusion, Financial Planning
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
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
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.
Licence: creative commons attribution 4.0
Self-focusing, Suprathermal Electron, Plasma Channel.
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 Published Paper PDF: download.php?file=IJCRT2106331 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2106331.pdf
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
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.
Licence: creative commons attribution 4.0
Machine Learning, Management, CRM, Data Analysis and