Manuscripts

Recent Papers

Research Paper

Imbalanced data handling using Machine Learning

Machine learning algorithm applications still control Internet trade with their seemingly endless options for customization. Great fast data is continuously passed through socially important forecasts to improve online shopping. In the absence of analytical instruments to manage homogeneous data sets and outlines, unforeseen occurrences of data known as imbalanced data are unfortunately still overlooked. Rare cases of substance use are therefore still ignored, causing costly losses or even tragic circumstances. A number of methods have been successfully implemented to meet this challenge over the past 10 years. In many cases, however, there are significant disadvantages due to the non-uniformity of the relevant data when used for diverse application domains.

Published by: Kamal Raj T., Bhavana K., Chandana M. R.

Author: Kamal Raj T.

Paper ID: V7I4-1514

Paper Status: published

Published: July 27, 2021

Full Details
Research Paper

Breast Cancer Prediction using Machine Learning model

Day by day the number of cancer cases around the world is increasing and it has become a common health issue. One of the most commonly seen cancer is Breast cancer. It has become one of the leading causes of death. in women Breast cancer can be mainly seen in women, but it can be seen in men too. There is a belief that men cannot get breast cancer, but it is not true. Cancer can be treated only if it is detected in the initial stages, if not then it will spread to various parts of the body and its effect is irreversible and it will cause a threat to life. But most of the time it is difficult to detect cancer and also sometimes people ignore the symptoms. In this matter, artificial intelligence can be of great help. Here we have collected a set and then we have built a prediction model to detect stroke based on the different algorithms that are available on machine learning.

Published by: Sanath Kumar A.

Author: Sanath Kumar A.

Paper ID: V7I4-1539

Paper Status: published

Published: July 26, 2021

Full Details
Research Paper

Network packet sniffing

Packet sniffing is a technique for tapping each packet as it streams across the organization. It is a method in which a client sniffs information having a place with different clients of the organization. It is successful in both exchanged organizations and non-exchanged organizations. Packet sniffers can work as an authoritative apparatus or for vindictive purposes. It relies upon the client's goal. This paper examines how sniffing can be done if there should arise an occurrence of the center point and exchanged organization, different packet sniffing strategies, various techniques that AntiSniff uses to identify these sniffing programs are additionally talked about.

Published by: Md Haroon, Dr. Ramveer Singh, Vishant Sharma, Lakshya Kaushik, Alok Kumar Mishra

Author: Md Haroon

Paper ID: V7I4-1507

Paper Status: published

Published: July 26, 2021

Full Details
Research Paper

Laboratory investigation on bituminous concrete mixture properties by modifying bitumen using waste plastic flakes

This paper presents the results of a laboratory study on how effectively the plastic waste could be utilized in bituminous concrete course to improve the properties of bituminous mixture. It has been shows that the addition of plastic waste flakes results in the improved Marshall Stabilities and flow value. The OBC for plain bitumen mixture was 5.33, while for plastic blended bituminous mixture for (i.e., bitumen+ plastic) 80%+20%, 60%+40% and 40%+60% was 6.67, 6.00 and 5.50 respectively. For all mix maximum stability, minimum flow, mean air voids and mean voids filled with bitumen were determined. It was observed that 80% Bitumen+20% Plastic blended mixture has shown very good increased stability value of 48% increase when compared to reference bitumen mixture. The overall result shows that, Marshall Stability value has increased with bitumen mixture modified with plastic waste and the flow value has decreased.

Published by: Supriya C. B., Prakash J., B. H. Manjunath, T. V. Mallesh

Author: Supriya C. B.

Paper ID: V7I4-1530

Paper Status: published

Published: July 26, 2021

Full Details
Research Paper

Design and implementation of All-Optical T-flip-flop using Photonic Crystals Waveguides

High-speed communication has a lot of limitations because of slow electronic components. As a solution to these limitations, optical components will be used for high switching speed, low power consumption and large bandwidth, instead of electrical components. We have developed a photonic crystal T-shaped waveguide design to implement T flip-flop. Utilizing optimized parameters such as silicon rod radius and refractive index, this design has been analysed and examined. To implement this structure, the optical interference effect is utilized at a wavelength of 1550 nanometers. This design operates at the refractive index of 3.46 and silicon rod radius of 0.114, giving the best output value with an 14.78dB contrast ratio. Using Finite Difference Time Domain (FDTD) and plane wave expansion, the designed flipflop is simulated

Published by: D. Gowri Sankar Rao, P. Rupa Anjali, M. V. V. Satya Sai, Haridasu Ankarao

Author: D. Gowri Sankar Rao

Paper ID: V7I4-1525

Paper Status: published

Published: July 26, 2021

Full Details
Research Paper

Imperatives of AI in the classroom

Artificial Intelligence is a very vast field in computer science i.e intelligence in performing tasks that typically require human intelligence. This paper will describe how the education sector uses AI and how it will change the experience of learning for the student as well as for the teachers. The approach of the implementation of AI(Artificial Intelligence) on the education system. This paper also describes the AI technologies used in the education system and brings new changes and new platforms of learning and provides different standards of learning things. And how the education sector is readjusting AI technologies for a better learning experience.

Published by: Tanuja Anna, Deepansh Pandey

Author: Tanuja Anna

Paper ID: V7I4-1531

Paper Status: published

Published: July 26, 2021

Full Details