Volume 9 | Issue 6

 Abstract

Personality is a parameter that makes one individual different from the other individual. Predicting personality has many applications in real world. The main objective of this paper is to take textual data as input from the user and then run the trained machine learning model on this data to predict his 4 personality traits which are Introversion vs Extroversion, Sensing vs Intuition, Thinking vs Feeling, Judging vs Perceiving. The main objective is to build an application where users can answer the questions which are processed and analyzed to output his personality traits. The output is a string of 4 characters where each character determines a personality trait, total of 16 personality types are possible. The Machine learning model XGboost is used to classify the text and output four personality traits. Processing of large textual data is to be done using Natural Language Processing (NLP) techniques with the help of nltk libraries to process and categorize the data. In order to increase the performance of the model hyper parameter tuning along with cross fold validation is done

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 Keywords

Logistic regression, Naive Bayes classifiers, XGBoost, Decision Tree

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 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Emotional Intelligence, SMT, Wives and Dual Career Families

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Dropout rates for students are increasing. We need to make certain measurements to find out the factors which are leading to the dropout of the student by using machine learning techniques with which we can choose an alternate way to select the dropout rates of the student from the course. We can make an analysis of each and every student by identifying the most related features. There are many factors which are responsible for the dropouts of the students like financial, economic, and many other problems. If the dropout rate of the students is increasing then the employment opportunities of the students will decrease gradually. Here we are going to implement some of the Machine Learning techniques to identify the students who are likely to drop out. Our main task is to apply different machine learning techniques to the selected features. A comparison is made for machine learning algorithms with each metric, and the model that gives the more appropriate result is considered the best one.

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 Keywords

Dropouts, Identification, Features, Machine Learning Techniques.

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 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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CSR

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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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 Abstract

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Multi-dimensional, Cyber crime, Cyber Stalking

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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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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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

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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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 Abstract

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Financial literacy, Financial Inclusion, Financial Planning

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 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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Self-focusing, Suprathermal Electron, Plasma Channel.

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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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Covid-19, pandemic, VUCA, WHO,MERS,SARS-Cov2,Asymptomatic

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Violence, VAW, Cyber related Violence, etc.

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Physical Abuse, Sexual Abuse, Child maltreatment

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The Role of non-government organisations (NGOs) in sustainable rural development is analysed through this study. Major rural development programmes of the NGOs were agricultural programmes, health and education programmes, community development, and environmental protection programmes etc. majority of the beneficiaries considered rural development works of the NGOs as effective for sustainable rural development. There is a positive relationship between sustainable development and rural development. In this study using the sample of 100 collected from beneficiaries, data was analysed and hypothesis are proved by using chi square test. The study found that the activities performed by NGOs in sustainability and rural development are satisfied by the beneficiaries

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Rural development, Sustainable development, Non-Government Organisations (NGOs), Natural resource, Environment protection

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This study presents the influence of variation of fine aggregate and coarse aggregate content on the properties of concrete.Detailed study of porous concrete is done by changing the aggregate content.Porous concrete is a concrete characterized by a porous structure that allows the water to percolate through it with consequent numerous environmental benefits. However, high drainable characteristics do not generally correspond to high strength and good surface condition when subjected to vehicular traffic, hence applications of permeable concrete are limited

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Permeable concrete, Permeability, Flexural Strength, Compressive Strength, Porous Concrete, Permeable Pavement.

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Creative Commons Attribution 4.0 and The Open Definition

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Suicides, Suicidal Detection, Machine Learning, Earlier detection, Tweets

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