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A comparative analysis of Machine Learning Algorithms on malicious URL prediction

Phishing is a type of deception in which a person or entity poses as a legitimate user. Phishing is a technique for fooling consumers that have grown more prevalent in cyberspace. The majority of phishing texts are cryptic. Many strategies and plan has now been intended to deal with the phishing problem in the literature. There is currently no solid remedy in place to prevent such assaults. This article proposes a To detect phishing assaults, a human has to learn forecasting engine is used taking this into account. Logical regression beats the other methods in both precision and failure rate, according to the experimental investigation. With logistic regression, you can predict URLs with accuracy.

Published by: B. Naveen Kumar, S. Viswa Teja Reddy, A. Yashwanth Sai, G. Umesh Kumar, M. Srikanth

Author: B. Naveen Kumar

Paper ID: V8I3-1275

Paper Status: published

Published: May 16, 2022

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Review Paper

Planning, estimation and designing of G+1 House Plan

Our project focuses on planning designing of estimating of G+ 1 house plan. In this exclusive civil project, the bone will get some vital information on how to develop the perfect house plan for any G+1 house. The main objective of our project is to know the various design aspects like planning and estimate We have planned to design a house consisting of two floors (G+1). The planning is done as per the requirements Project begins with starts the start of the Layout of the house or structure followed by the Design and Analysis of the structure which is succeeded by cost estimation and planning for the said project . This project involves the layout, design, analysis, planning, and cost estimation of a G+1 house The layout of the proposed G+1 house is based on a plot of size15.40m x 11.75m. The shape of the house is rectangular in plan. The house consists of the ground floor and first floor. The staircase is provided with enough safe. National Building Code (NBC). All the drafting was done using AutoCAD. Also, these drawings made on AutoCAD also served as a base for the transfer of the structure for analysis and design. The cost estimate for the project has been calculated using Centre Line Method.

Published by: Ehsan Ansari, Muskan Sharma, Ajmal Shaikh, Nikita Sawant, Sagar Mungase

Author: Ehsan Ansari

Paper ID: V8I3-1265

Paper Status: published

Published: May 16, 2022

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Research Paper

Analysis and Design of RCC T-Beam Bridge Superstructure by using Different Codes and Load Combinations for Performance Assessment

Abstract: This study summarized the comparative design and analysis of the RCC T-Beam Bridge superstructure for Different Codes i.e., Indian Road Congress (IRC) codes and American Association of State Highway Transportation Officials (AASHTO) Specification Load Combinations for varying span lengths. Several codes are used to design the bridges. IRC 21-2000 was used for designing bridges by working stress method (WSM), also IRC: 112-2011 introduced by Indian Road Congress for RCC and Pre- Stressed bridges by limit state method (LSM). Both the codes have different guidelines and procedures for the design of bridges. This study based on IRC 112-2011 (LSM) and IRC: 6- 2017 is used for load considerations. This analysis depends on the analytical modeling by Finite Element Method (FEM) in STAAD-Pro software and compares the structural parameter Bending moment, Shear Force, Deflection, and Area of Reinforcement for different girder span lengths 16M, 20M, 24M as per the IRC and AASHTO code. Class A & Class 70R consider from IRC 6-2017 and HS93 is the vehicular loading considered from AASHTO. Form the analysis understanding suitability design technique and the behavior of two-lane carriageway width of T- Beam bridge superstructure under different loading conditions and by using different code and comparing the result, conclusions will be made that up to what extent similarities between both standards.

Published by: Tanmay Farsule, Girish Sawai

Author: Tanmay Farsule

Paper ID: V8I3-1284

Paper Status: published

Published: May 16, 2022

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Research Paper

Stock price prediction

With the advent of technological marvels such as digitalization around the world, stock market predictions have entered a more technologically advanced era, reviving the old trading model. With the steady growth of market capitalization, stock trading has become an investment hub for many financial investors. Many analysts and researchers have developed tools and techniques that predict stock price movements and assist investors in making sound decisions. Advanced trading models enable researchers to predict the market using non-traditional text data from social media platforms. The use of advanced machine learning methods such as textual data analysis and compilation methods has greatly increased the accuracy of prediction. Meanwhile, stock market analysis and forecasting continue to be one of the most challenging research areas due to volatile, volatile, and volatile data. This study describes the design of machine-based learning strategies for predicting the stock market based on the use of a standard framework. In addition, a comprehensive comparative analysis was performed to obtain an indicator of significance. This research can be useful to emerge researchers to understand the basics and developments of this emerging environment, thus continuing further research in promising ways.

Published by: Kartik Bhatnagar, Arya Tomar, Teena Verma

Author: Kartik Bhatnagar

Paper ID: V8I3-1267

Paper Status: published

Published: May 16, 2022

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Research Paper

COVID19 diagnosis using forced coughing and Artificial Intelligence

Everyone knows COVID19. No part of the world is untouched by this disease today. The virus spread like wildfire throughout the entire world within a year. The main causes of the spread of the virus we can say were incubation period of 11.5 days and it can spread through sneezing, touch, and air. Along with that, the limitations of the testing time period added more scope for the virus to spread. In this paper, we have proposed a method based on artificial intelligence machine learning, which can be used by anyone to check whether a person has been infected by the COVID disease. The person just needs to provide an audio recording of the forced coughing. Within a few seconds, the person will get the result. This method has a great potential of saving time, money, and lives. Similar AI models have been proposed for different diseases like pneumonia and Alzheimer's.

Published by: Vaibhav Dandage

Author: Vaibhav Dandage

Paper ID: V8I3-1259

Paper Status: published

Published: May 13, 2022

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Research Paper

Prospective analysis of wind energy for power generation by Weibull distribution method

Clean, safe, and renewable electricity is supplied with wind power, making it one of the fastest-growing green technologies. Research on sustainable energy harvesting using wind turbines and ways in which wind power can be done provides information about the available methods. Wind energy is mainly used for two purposes namely irrigation (pumping) and power generation. The hope for wind power can be analyzed in different ways. The Weibull distribution method is one of the most widely accepted methods of measuring wind power. In this paper, the prospect of wind power in India is analyzed by means of the Weibull distribution. Details are collected from the Indian Meteorological Department located in various parts of the country. Three different Weibull distribution methods were used to obtain validated Weibull parameters using the most widely accepted mathematical tools.

Published by: Lakshya Varshney, Anna Sharma, Manav Chaturvedi, A. Ambikapathy

Author: Lakshya Varshney

Paper ID: V8I3-1240

Paper Status: removed

Submitted: May 12, 2022

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