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  IJCRT Search Xplore - Search all paper by Paper Name , Author Name, and Title

Volume 9 | Issue 7

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  Paper Title: CRISES OF MULTICULTURALISM IN EUROPE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107450

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107450

  Register Paper ID - 210164

  Title: CRISES OF MULTICULTURALISM IN EUROPE

  Author Name(s): Dr. Vaibhavi Palsule

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e234-e239

 Year: July 2021

 Downloads: 917

 Abstract


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multiculturalism, liberal politics, migration, assimilation, integration, right wing politics

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  Paper Title: A MACHINE LEARNING APPROACH FOR DIGITAL INFORMATION PRESERVING

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107449

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107449

  Register Paper ID - 210223

  Title: A MACHINE LEARNING APPROACH FOR DIGITAL INFORMATION PRESERVING

  Author Name(s): G.Pavan kumar reddy, G.Jayanth, G.Yaswanth kumar, Y. Hari prakash reddy, P.Mallikarjuna

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e228-e233

 Year: July 2021

 Downloads: 938

 Abstract

In order to ensure a company's Internet security, SIEM (Security Information and Event Management) system is in place to simplify the various preventive technologies and flag alerts for security events. Inspectors (SOC) investigate warnings to determine if this is true or not. However, the number of warnings in general is wrong with the majority and is more than the ability of SCO to handle all awareness. Because of this, malicious possibility. Attacks and compromised hosts may be wrong. Machine learning is a possible approach to improving the wrong positive rate and improving the productivity of SOC analysts. In this article, we create a user-centric engineer learning framework for the Internet Safety Functional Center in the real organizational context. We discuss regular data sources in SOC, their work flow, and how to process this data and create an effective machine learning system. This article is aimed at two groups of readers. The first group is intelligent researchers who have no knowledge of data scientists or computer safety fields but who engineer should develop machine learning systems for machine safety. The second groups of visitors are Internet security practitioners that have deep knowledge and expertise in Cyber Security, but do Machine learning experiences do not exist and I'd like to create one by themselves. At the end of the paper, we use the account as an example to demonstrate full steps from data collection, label creation, feature engineering, machine learning algorithm sample performance evaluations using the computer built in the SOC.


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Django, HTML,j ava

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  Paper Title: COMPARATIVE STUDY ON PERFORMANCE ANALYSIS OF NIFTY MIDCAP 100 SINCE INCEPTION.

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107448

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107448

  Register Paper ID - 210222

  Title: COMPARATIVE STUDY ON PERFORMANCE ANALYSIS OF NIFTY MIDCAP 100 SINCE INCEPTION.

  Author Name(s): Dr. Neha Devidas Nalawade.

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e222-e227

 Year: July 2021

 Downloads: 1001

 Abstract

To compare the performance of various NSE indices with Nifty Midcap 100 and understanding how investing in an ETF or an index fund of Nifty Midcap 100, could have created wealth for the investors. The tools & techniques used for the study are correlation, Sharpe ratio. The returns are calculated using monthly rolling returns for 1 year, 3 year and 5-year period. Based on the study, it is proven that the performance of Nifty Midcap 100 is better than other Nifty indices like Nifty 50, Nifty Small cap 100. However, the performance of Nifty Next 50 is better than all other indices in the study.


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Sharpe Ratio, Correlation, Monthly Rolling Returns, Nifty Midcap 100, Nifty 50, Nifty Next 50, Nifty Small cap 100

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  Paper Title: THORAX DISEASE DETECTION USING X-RAY

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107447

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107447

  Register Paper ID - 210167

  Title: THORAX DISEASE DETECTION USING X-RAY

  Author Name(s): Ritika Saxena, Nishita Agarwal, Pranvi Jain, Aashi Agarwal, Mr. Vikas Kumar

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e214-e221

 Year: July 2021

 Downloads: 930

 Abstract

This paper deals with the idea of development of this new deep learning algorithm suitable for predicting lung diseases from x-ray images. The technology may be able to read and process extremely large amounts of scans. The study of using different deep learning for detection of various thoracic diseases has been an active and challenging research area. Patients suffering from thoracic diseases need to take Chest X-Rays which are studied by radiologists and a report is generated by them. However, today with the increase in the number of thoracic patients in developing countries like India, a quick method to classify the disease and generate the report has become necessary. Also, a patient record has to be considered for diagnosis. The algorithm which is used in this paper offers a comparative study on the various deep learning techniques that can process chest X-rays and are capable of detecting the different thoracic diseases. Also, this algorithm has been proposed to classify 14 diseases namely Atelectasis, Cardiomegaly, Consolidation, Edema, Effusion, Emphysema, Fibrosis, Hernia, Infiltration, Mass, Nodule, Pneumonia, Pneumothorax, Pleural thickening and one for no disease based on the given X-rays using Convolutional Neural Network.


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Deep Learning, Data Set, Tensor Flow, Accuracy, CNN, X-Ray, Neural Network

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  Paper Title: AIR QUALITY PREDICTION BASED ON MACHINE LEARNING

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107446

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107446

  Register Paper ID - 210229

  Title: AIR QUALITY PREDICTION BASED ON MACHINE LEARNING

  Author Name(s): Shailesh Munge, Sagar Kharche, Piyush Joshi, Kirti Bathe, Santosh Waghmode

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e210-e213

 Year: July 2021

 Downloads: 1012

 Abstract

One major basic right is clean air that is integral to the concept of citizenship and it's while not a doubt, the responsibility of every subject to try to do his/her half to stay the air clean. Air quality prognostication has been looked into because the key answer of early warning and management of pollution. During this paper, we tend to propose an Associate in nursing air quality prediction system supported by a machine learning framework known as the sunshine GBM model, to predict air quality. This model, trained victimization lightweight GBM classifier, take meteorology knowledge jointly of sources for predicting the air quality thereby increasing the prediction accuracy by creating full use of obtainable abstraction data. the prevailing air quality observance stations and satellite meteorologic knowledge offer period air quality observance info that is employed to predict the trend of air pollutants within the future. The projected system was found to administer Associate in nursing accuracy of ninety-two


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Air Pollution, Decision Tree, Linear Regression, Machine Learning, Random Forest, Supervised Learning, SVM.

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  Paper Title: CHALLENGES AND OPPORTUNITIES IN TEACHING – LEARNING BHARATHANATYAM

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107445

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107445

  Register Paper ID - 209396

  Title: CHALLENGES AND OPPORTUNITIES IN TEACHING – LEARNING BHARATHANATYAM

  Author Name(s): Dr.K.Sahayaraani

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e207-e209

 Year: July 2021

 Downloads: 1064

 Abstract


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Key words: Bharathanatyam, culture, challenges, opportunities, pedagogy etc.

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  Paper Title: NANOROBOTS AND ITS APPLICATION IN MEDICINE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107444

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107444

  Register Paper ID - 209765

  Title: NANOROBOTS AND ITS APPLICATION IN MEDICINE

  Author Name(s): Akashay Gosavi, Sonia Singh, Nalanda Rangari

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e200-e206

 Year: July 2021

 Downloads: 1082

 Abstract

Nanorobotics is the technology of producing robots or machines with very small scale or miniscule of a nanometer (10-9 meters), machines constructed at the molecular level (Nano machines) may be used to detect or identify and cure the human body of its various diseases like cancer. Nano robots are very good accuracy they perform a specific task with great accuracy and precision at very small scale or nanoscale dimensions. Nano robots are especially used for studies on treatment of varies diseases like osteosclerosis, cancer treatments. Nanotechnology offers many applications such as microscopic robots that assemble other machines or travel inside the body to deliver drugs or API or do microsurgery. Current treatment includes surgeries which are considered outdated when compared to nanotechnology or nanorobotics technology


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Nano robots, Biochip, Nubots, Nano swimmers, Treatment, disease.

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  Paper Title: NEAR LOSSLESS MEDICAL IMAGE COMPRESSION USING BLOCK BWT-MTF AND HYBRID FRACTAL COMPRESSION TECHNIQUES

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107443

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107443

  Register Paper ID - 210137

  Title: NEAR LOSSLESS MEDICAL IMAGE COMPRESSION USING BLOCK BWT-MTF AND HYBRID FRACTAL COMPRESSION TECHNIQUES

  Author Name(s): M.Jyothsna, B.Yamuna Kumari, K.Sri Vallika, K.Tanuja, Mrs.B.Sailaja

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e194-e199

 Year: July 2021

 Downloads: 987

 Abstract

In medical field we come across huge amount of images in the forms of scans, reports and so on. Hence, we need to compress the data we come across due to the factor of storage space. Diagnosis of medical image requires detailed analysis of vital portion of the image. In medical image compression, a small loss in the vital portion leads to wrong interpretation. The proposed compression scheme will eliminate this problem by utilizing region based compression which results in the lossless compression of requisite area, where the salient details are stored and lossy compression in the remaining region. In this method, region which contains most required diagnostic features is separated and then encoded without significant loss in diagnostic quality using block based Burrows- Wheeler compression algorithm. Remaining regions are encoded using hybrid fractal encoding algorithm. Finally, both encoded regions are combined together to reconstruct the output image. The performance of the compressed scheme is evaluated in terms of PSNR (Peak Signal to Noise Ratio), CR (Compression Ratio), space saving and time consumption.


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PSNR, Hybrid fractal encoding, PSNR, MSE, CR, BWT-MTF.

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  Paper Title: EXISTENTIALISM IN HAIRY APE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107442

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107442

  Register Paper ID - 210216

  Title: EXISTENTIALISM IN HAIRY APE

  Author Name(s): Shubhpreet Sandhu

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e191-e193

 Year: July 2021

 Downloads: 989

 Abstract

A philosophical theory or approach which emphasizes the existence of the individual person as a free responsible agent determining their own development through acts of the will. The form of a philosophical enquiry that explores the problem of human existence and centres on the lived experience of the thinking feeling acting individual a primary the existentialist thought is authenticity this term is associated with several 19th and 20th century European philosophers who shared the human subject despite profound Doctrine differences. Existentialism is a work in the character of Yank. Yank, the protagonist of the play The Hairy Ape by birth does not hold any qualities. It is the decision that he has taken constitutes his own qualities. Yank's mind is obsessed bitter experiences which drives him agitated.


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Existentialism, Theatre of Absurd, Social Criticism, Atheism and Religion, Anxiety, Alienation.

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  Paper Title: A REVIEW ON PLACEMENT MANAGEMENT SYSTEM

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107441

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107441

  Register Paper ID - 210226

  Title: A REVIEW ON PLACEMENT MANAGEMENT SYSTEM

  Author Name(s): Spoorthi M S, Kavana V, Koushik S N, Veena M

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e186-e190

 Year: July 2021

 Downloads: 1397

 Abstract

The Placement Management System is developing as an attempt to Keep track of companies and students by restricting such a large database to that of a specific class of students or companies.The System provides the facility of viewing both the personal and academic information of the student and company You can also search for eligible students or companies, or admins can insert or delete Records. in this paper we are explaining how the management system was built using Android studio , HTML ,CSS ,XML and JavaScript etc.


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Placement, Android Development, Training ,Web Development.

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  Paper Title: WORK FROM HOME A NEW DIMENSION AND THE CHALLENGING ROLE OF HRM

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107440

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107440

  Register Paper ID - 210215

  Title: WORK FROM HOME A NEW DIMENSION AND THE CHALLENGING ROLE OF HRM

  Author Name(s): Manali Chowdhury

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e176-e185

 Year: July 2021

 Downloads: 956

 Abstract

The paper is about today's scenario of building a workspace remotely away from the traditional office setup. The various challenges that are turning up towards the same both for the employees, the Managers, the organization and as a whole for the HRM. The study of various relationships of peer-peer, employee-manager, employee-family, family-organization, work-output, employee-stress. It emphasizes on the new concept of Work from Home which is attracting and influencing the employee behaviour and creating a new facet towards the job. In this midst of the crisis, where the whole world is confronting with Covid-19, to keep up the economic growth and the competitiveness most organizations have resorted to find a replacement to the age-old practice of working in a structured work station with the concept of work from home or work from remote space. Establishing the several factors affecting Work from home and the role of HR.


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Flexible timing, motivation, work life balance, work performance, stress, telecommunication

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  Paper Title: IMPACT OF AWARENESS PACKAGE ON KNOWLEDGE REGARDING ANEMIA PREVENTION DURING PREGNANCY AMONG ANTENATAL MOTHERS IN RURAL AREA, INDORE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107439

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107439

  Register Paper ID - 210168

  Title: IMPACT OF AWARENESS PACKAGE ON KNOWLEDGE REGARDING ANEMIA PREVENTION DURING PREGNANCY AMONG ANTENATAL MOTHERS IN RURAL AREA, INDORE

  Author Name(s): Mrs Theyamma P T, Dr Jinu K Rajan

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e170-e175

 Year: July 2021

 Downloads: 938

 Abstract

The current study has been undertaken to assess knowledge scores regarding anemia prevention during pregnancy among Antenatal mothers by awareness package in Khudel, Indore. The research design used for the study was pre-experimental in nature. The tool for study was self-structured knowledge questionnaire which consists of 2 parts- PART- I consisted of questions related to Socio-demographic data; PART-II consisted of self -structured knowledge questionnaire to assess knowledge score regarding anemia prevention during pregnancy among antenatal mothers. The data was analyzed by using descriptive & inferential statistical methods. The most significant finding was that 27.5% of Antenatal mothers were having average knowledge regarding anemia prevention during pregnancy whereas 72.5% had good knowledge after post-test. It was suggested that nurses must educate Antenatal mothers regarding anemia prevention during pregnancy.


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Anemia prevention, Pregnancy, Antenatal.

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  Paper Title: A REVIEW ON SELECTION OF DIFFERENT SOURCES IN ELECTRIC VEHICLE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107438

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107438

  Register Paper ID - 210204

  Title: A REVIEW ON SELECTION OF DIFFERENT SOURCES IN ELECTRIC VEHICLE

  Author Name(s): G.MATHESH, Dr.R.SARAVANAKUMAR

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e161-e169

 Year: July 2021

 Downloads: 978

 Abstract

Electric Vehicles (EVs) are rapidly growing in the present automobile sector for no fuel cost, pollution free but selection of components are difficult for different types of EVs. Nowadays Electric Vehicles are coming with a suitable power electronic converter is used to charge the battery in safe mode to replace the Internal Combustion Engine. In recent developed EVs, Self-charging technique is employed with multiple sources like solar, fuel cell, battery, ultra capacitor. This multi-source based electric vehicle operated only with battery may not depend on any charging station. In this paper, selections of different electrical sources used in the EVs and current scenario of EVs usage are discussed.


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Electric vehicles, solar photovoltaic, fuel cell, battery, ultracapacitor, converter

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  Paper Title: ILENS

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107437

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107437

  Register Paper ID - 210187

  Title: ILENS

  Author Name(s): Mitta Jahnavi, Shaik Mohammad Muzmil, Mulaguri Pooja Chowdary, M.Harish Raju, C. Narasimha

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e153-e160

 Year: July 2021

 Downloads: 953

 Abstract


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MQTT, alerts, alarms, data logging, live device monitoring, Unique platform

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  Paper Title: A STUDY ON PERCEPTION AND ATTITUDE TOWARDS BRAND IMAGE

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107436

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107436

  Register Paper ID - 210175

  Title: A STUDY ON PERCEPTION AND ATTITUDE TOWARDS BRAND IMAGE

  Author Name(s): Lakshman Kumar A, Dr.Manoj Kumara N V

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e145-e152

 Year: July 2021

 Downloads: 956

 Abstract


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Brand Image, Quality, Attraction, Perception and Competition, Percentage and Chi- Square test.

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  Paper Title: SNACKING PATTERNS IN MIDDLE CLASS MALE AND FEMALE POPULATION AGED 45 - 65 YEARS

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107435

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107435

  Register Paper ID - 210189

  Title: SNACKING PATTERNS IN MIDDLE CLASS MALE AND FEMALE POPULATION AGED 45 - 65 YEARS

  Author Name(s): Ms. Rutuja Laxman Dalvi, Mrs. Anuradha Shekar

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e141-e144

 Year: July 2021

 Downloads: 957

 Abstract


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  Paper Title: EVALUATION OF HEAD POSTURE, NECK PAIN, STRESS LEVEL AND IT CORRELATION WITH MYOFASCIAL TRIGGER POINTS DURING EXAM PERIOD AND ACADEMIC PERIOD IN PHYSIOTHERAPY STUDENTS: REPEATED MEASUREMENTS STUDY

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107434

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107434

  Register Paper ID - 210170

  Title: EVALUATION OF HEAD POSTURE, NECK PAIN, STRESS LEVEL AND IT CORRELATION WITH MYOFASCIAL TRIGGER POINTS DURING EXAM PERIOD AND ACADEMIC PERIOD IN PHYSIOTHERAPY STUDENTS: REPEATED MEASUREMENTS STUDY

  Author Name(s): Dr. Jaywant Nagulkar, Jincy Rajan, Dr. Rajkumar Jayaraman, Dr. Danish Shaikh

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e128-e140

 Year: July 2021

 Downloads: 974

 Abstract

Abstract Background: Myofascial Trigger points (MTrPs) are hyperirritable spots located in a taut band of skeletal muscle.Acute trauma/ repetitive micro-trauma may lead to the development of stress on muscle fibers and the formation of trigger points. Physiotherapy students preparing for university exams are exposed to many predisposing factors for MTrPs can lead to awkward or poor posture and MTrPs. Therefore, this study aims to evaluate the Head posture, Neck Pain, Headache, Stress Level and its Correlation with Myofascial Trigger Points during exam period and Academic Period in Physiotherapy Students. Method: 75 students from different academic year participated in this study. The MTrPs was examined in 3 different muscles by the examiner. The study was done in two periods i.e. academic year and during exam period in the same subject. Craniovertebral angle was measured.The stress level was measured. Data was collected fromeach of the physiotherapy students. Statistical analysis was done using SPSS version 26.00 Results:The MTrPs were more prevalent during exam period as compared to academic period. (p<0.05). Active MTrPs were significantly higher than latent MTrPs during the exam period. There was a moderate positive correlation between the active MTrPs and theNRS of headache, NRS of Neck pain, NRS of stress levelduring the exam period. Conclusion:This study showed significant difference of MTrPs, headache, neck pain & stress level found between exam period & academic period. There was positive correlation that exists between active Myofascial trigger points and Headache, Neck Pain & Stress level.


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Forward Head Posture, Headache, Myofascial Trigger points(MTrPs), Neck pain, Stress level.

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  Paper Title: ETHANOL PRODUCTION, PURIFICATION, AND ANALYSIS TECHNIQUES

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107433

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107433

  Register Paper ID - 210188

  Title: ETHANOL PRODUCTION, PURIFICATION, AND ANALYSIS TECHNIQUES

  Author Name(s): Laxman S. Nimangre, Pranali P. Patil, Poournima S. Sankpal, Sachinkumar V. Patil

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e117-e127

 Year: July 2021

 Downloads: 1014

 Abstract

World ethanol production rise to nearly 13.5 billion gallon in 2006. Ethanol has been part of alcoholic beverages for long time, but its application has expanded much beyond that during the 20th Century. Much of the recent interest is in the use of ethanol as fuel. In this paper, we have reviewed published literature on current ethanol production and separation methods, and chemical and sensory analysis techniques. Ethanol produced by fermentation, called bioethanol, accounts for approximately 95% of the ethanol production. It is recently widely used as an additive to gasoline. Corn in the Unites States and sugarcane in Brazil are widely used as raw materials to produce bioethanol. Cellulosic materials are expected to be the ultimate major source of ethanol and also represent a value-adding technology for agricultural coproducts. While bioethanol is considered as a sustainable energy source, it requires further purification for uses other than fuel. The most common purification technique utilized in the ethanol industry is rectification by further distillation. However, distillation has critical disadvantages including high cost and limited separation capacity. Several alternatives have been proposed to replace distillation such as non-heating fractional distillation by ultrasonic irradiation, oxidation of impurities by ozone, and adsorption of impurities by activated carbon or zeolite. Chemical and sensory analyses are used to determine the quality of alcohol and to optimize various steps in production. Near-infrared (NIR) spectrometry, high performance liquid chromatography (HPLC), gas chromatography (GC), and mass spectrometry (MS), have been developed for chemical analyses. Also, olfactometry is common for sensory analysis. This paper summarizes the state-of-the art of ethanol production, purification, and analytical techniques.


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Activated carbon, chemical analysis, ethanol, ozone, production process, purification, renewable fuels, substrates.

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  Paper Title: PREDICTING STUDENT PERFORMANCE USING MACHINE LEARNING

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107432

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107432

  Register Paper ID - 210171

  Title: PREDICTING STUDENT PERFORMANCE USING MACHINE LEARNING

  Author Name(s): Sindhu N, Sandhya K, Raghavi G, Pruthvi B c, Shruthi Shetty J

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e113-e116

 Year: July 2021

 Downloads: 961

 Abstract

This paper discusses how machine learning applications have a significant impact on teaching and learning, as well as how to improve the learning environment in higher education.We use innovative machine learning applications in teaching and learning while taking into account the students' background, academic performance in the past, and other factors. Because of the enormous class numbers, it would be difficult to support each individual student in each open learning course, which would raise the dropout rate at the end of the course. In this work, we will use linear regression, a machine learning algorithm, to predict a student's academic success.


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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Classification Prediction, Machine Learning, Data cleaning, Data Processing, Linear Regression.

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Creative Commons Attribution 4.0 and The Open Definition

  Paper Title: COMPARISON OF SHARPE SINGLE INDEX MODEL AND CAPM IN OPTIMUM PORTFOLIO CONSTRUCTION

  Publisher Journal Name: IJCRT

  DOI Member: 10.6084/m9.doi.one.IJCRT2107431

  Your Paper Publication Details:

  Published Paper ID: - IJCRT2107431

  Register Paper ID - 210173

  Title: COMPARISON OF SHARPE SINGLE INDEX MODEL AND CAPM IN OPTIMUM PORTFOLIO CONSTRUCTION

  Author Name(s): Sachin Gowda K, Dr.Manoj Kumara N V

 Publisher Journal name: IJCRT

 Volume: 9

 Issue: 7

 Pages: e104-e112

 Year: July 2021

 Downloads: 1066

 Abstract


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About IJCRT

The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.


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International Journal of Creative Research Thoughts (IJCRT)
ISSN: 2320-2882 | Impact Factor: 7.97 | 7.97 impact factor and ISSN Approved.
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Call For Paper (Volume 12 | Issue 7 | Month- July 2024)

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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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