Volume 10 | Issue 6 |

 Abstract

In current days we can find out lot of loss occurred mainly from credit card transactions, almost billions of dollars are getting lost through credit card fraud transactions. In general to identify such fraud transactions there is no accurate approach and hence the design of efficient fraud detection algorithms is the only solution for reducing these losses and avoids fraud transactions. This problem is very difficult because the credit card fraud data is almost unbalanced and unstructured so there is lot of confusion for the one to classify the fields and then find out the fraud transactions manually. In this thesis we try to design a model using Random forest and CART and take sample dataset collected from KAGGLE website and then check the performance of our model using the algorithms. Here we can see random forest can able to predict and find out the fraud activity very easily and accurately compared with several primitive models. The proposed random forest algorithm achieved more than 99.7 percent accuracy for finding the credit card fraud transactions from a large dataset.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Credit Card, Fraud Transactions, Random Forest Algorithm, CART Algorithm, KAGGLE.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Possible risks and abnormal loads that causes progressive collapse are as follows aircraft collision, design or construction error, firing, gas explosion etc. Such Conditions are not consider in designing structure like Residential,commertial Buildings, since possibility of occurring these kinds of risks is very low. Progressive Collapse in a building occurs when any major structural load carrying member (like columns) leads to collapse of adjoining members, which in-turn leads to the additional collapse. In this paper, the G+ 7 moment resisting steel frame building is analyzed for progressive collapse considering two methods namely linear static method by using ETABS 2018 software. In this attempt, the columns at different levels are subjected to varying temperatures ranging from 250?-750? with the interval of 250? with the material properties and yield strength as per IS 800-2007. Different load combinations are considered as per IS-875 part I & II. According to General Service Administration (GSA) -2016 guidelines the fire load is applied additionally at different storey to the selected columns in the Building. The structure is cheacked and analyses and the DCR values obtained are checked as per GSA- 2016 permissible limits.

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 Keywords

Fire load,Progressive collapse,Demand Capacity Ratio,Steel Structure.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Talaq, Women, gender, discrimination

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project is focused on collecting valuable feedback from anyone who has used a service or a product. So that through the provided feedback from the users, service or product providers can gain insights from the feedback and enhance the product or service. By this process the providers gets to know pros and cons of the product. The feedback and opinions on a project are used to shape new changes and improvements. A feedback system allows getting the desired output with continuous comparison with the reference to current system. We aim to develop a modern, scalable, reliable and robust web-based application which is useful for any organization i.e small, medium or large-scale. In the educational sector, performing student feedback electrolytically (using PC, Tablet, or Mobile) rather than the ordinary paper-based methods saves staff and students' time and makes managing the data easier. This paper proposes a new approach for the Electronic Student Feedback Management System based on web programming, which consists of input, process, store, and retrieves information using a database.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Custom Feedback, Campaigns, Statistics

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ResNet50 model, Convolutional Neural Network, Deep Neural Network.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Quadcopters have become an essential aspect of precision agriculture due to their advanced sensors and imaging capabilities. In this paper, we offer a framework that uses supervised learning to perform plantation monitoring and yield estimation while autonomously traversing along a plantation's inter- row path. The suggested navigation system, which has been integrated with ROS (Robot Operating System), supports the quadcopter in following a sequence of collision-free GPS route points. The navigation framework's trajectory planning and control module uses convex programming techniques to build a minimum time route between waypoints and generates appropriate control inputs for the quadcopter. A new 'Mango dataset,' which includes plantation surveillance video and annotated frames showing the many stages of pomegranate growth as well as the nascent pomegranate, has been released.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Robot, Plantation, Quadcopter, Agriculture, Imaaging.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Biomass pyrolysis is an emerging technology that can be used for the production of the carbon neutral fuels and to replace the existing fossil fuels. Global concern for the clean energy fuel is growing day by day. Products obtained from the pyrolysis of biomass are bio oil, biochar and biogas. Biomass pyrolysis products have variety of usage with no such harmful waste product. Extensive research has been carried out on the biomass pyrolysis and various factors affecting it. This review paper aims to study the pyrolysis process, biomass and their composition. Furthermore, the factors affecting the pyrolysis process such as temperature, particle size, heating rate and sweeping gas are also studied. The composition of pyrolysis products and their application in different field are also studied. It is evident from literature that the biomass has a potential to meet the future energy requirements by using pyrolysis process.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pyrolysis, Biomass,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Water is an essential commodity in everyday life for every form of life. Though the water is the most abundant substance found in earth, still the usable/potable water resources are shrinking every passing day. One of the problems due to which the water gets contaminated is presence of dyes. This following review paper focuses on using an advanced technique involving adsorption of dye particles using ZnO nano particles. The ZnO nano particles are synthesized in the lab using simple precipitation method. The dyes are characterized by UV-Vis spectrophotometer and the ZnO nano particles characterized for its structural morphology using X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier trans-form IR (FTIR) analysis. The size of the nano particles is found out and the application of these NPs are tested at various concentrations of dyes at various pH. The adsorption mechanism is studied in line with Langmuir model using diverse literature available. The treated water possesses characteristics within the safe disposable limits and can be either disposed to any stream of water or used for any raw water intake.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Wastewater treatment, adsorption, dye removal

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the finance world stock trading is one of the most important activities. Stock market prediction is an act of trying to determine the future value of a stock other financial instrument traded on a financial exchange. This paper explains the prediction of a stock using Machine Learning. The technical and fundamental or the time series analysis is used by the most of the stockbrokers while making the stock predictions. The programming language is used to predict the stock market using machine learning is Python. In this paper, we propose a Machine Learning approach that will be trained from the available stocks data and gain intelligence and then uses the acquired knowledge for an accurate prediction. In this context this study uses a machine learning technique called Long Short-Term Memory (LSTM) to predict stock prices for the large and small capitalizations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Python,Google colab,Machine learing with lstm,Operting system

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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Creative Commons Attribution 4.0 and The Open Definition