Manuscripts

Recent Papers

Research Paper

Behavioural Analysis and Modification using classification with Machine Learning

To form up a particular profile about a person, examining is required and this study of examining the component of someone’s daily reactions is known as Behaviour Analysis. The component is used in psychology for suggesting and developing different types of profiles and content for user and later developed in Information database and technology. To make an application in order to user’s personal needs new trends are introduced with usage of Artificial Intelligence ( AI ). In many applications like innovation to perform everything from anticipating practices to altering a home’s renovation suggestions we use Machine Learning and Artificial intelligence technology. The technique that is use to advance the rule proficiency that rely upon the experience is known as Machine learning. A Numerical model and its real work is inferred to machine to utilize computational techniques from the data methodology. A Person’s Behavioural attitude can be easily altered using Machine learning and deep learning algorithms.

Published by: Divyansh Palia

Author: Divyansh Palia

Paper ID: V7I3-1933

Paper Status: published

Published: June 18, 2021

Full Details
Survey Report

Review on the applications of machine learning models for stock market predictions: A literature survey

Financial stock values are non-linear, volatile, and chaotic, making them one of the most challenging financial time series to predict. The incentive of financial gain has led many researchers and academia to devise methods to predict the stock market, despite copious uncertainty. Because of their ability to recognize complex patterns in several applications, machine learning models are extensively researched among the most recent methods. In this paper, Support Vector Machine, Artificial Neural Networks, and Case-based Reasoning for stock market prediction are surveyed. This paper also reviews sentiment analysis to highlight the behavioral trends of the stock market and its investors with the advent of technology. A generalized modeling methodology for applying machine learning techniques to the stock market is proposed in this paper.

Published by: Sanjana Hemaraju, Monish Singhal, Dr N. S. Narahari

Author: Sanjana Hemaraju

Paper ID: V7I3-1911

Paper Status: published

Published: June 18, 2021

Full Details
Research Paper

Design and development of men’s and women’s garments from the analysis of 2021 trends for Spring/Summer

Fashion forecasting is focuses on upcoming trends. A fashion forecaster predicts the colors, fabrics, textures, materials, prints, graphics, beauty/grooming, accessories, footwear, street style, and other styles that will be presented on the fashion shows and in the stores for the upcoming seasons. The concept applies to not one, but all levels of the fashion industry. The purpose of this Project is to establish or set a new trend which will be accepting for people for long period of time. Which will be shown in a designer collection of 6 garments combined with both men’s and women’s wear using the fashion trend color of SS 2021.

Published by: Manoj Kumar C., Selva Kumaran M., Thamaraiselvan V., Niveathitha

Author: Manoj Kumar C.

Paper ID: V7I3-1687

Paper Status: published

Published: June 18, 2021

Full Details
Research Paper

A Novel Approach of Preventing Cyber Attack on Industry 4.0

The Internet of things (IoT) describes the network of physical objects "things" that are embedded with sensors, software, and other technologies for the purpose of connecting and exchanging data with other devices and systems over the Internet.The IoT concerns a wide range of modules like the data acquisition, communication, sensors etc. Owing to the lack of consideration of cyber security threats, they have an inherent technical debt which results in compromised medical devices with unpredictable behaviour. With the increasing market share of the IoT devices in the healthcare field, it has offered a simple door for cyber criminals trying to misuse and profit from device vulnerabilities. In this paper we discussing about attack on smart bulb. We are providing cyber security on smart blub with different module such as attacking on smart bulb then detect the that particular attack last prevent the attack.

Published by: Gayatri Ravtole, Anushika Pandita, Rajshree Ghatkar, Rutuja Kamthe

Author: Gayatri Ravtole

Paper ID: V7I3-1935

Paper Status: published

Published: June 18, 2021

Full Details
Research Paper

An efficient data pre-processing model for machine learning

Currently, data pre-processing is one of the areas of nice interest as a result of it permits the discovery of hidden and infrequently attention-grabbing patterns in massive volumes of information. information scientists pay most of their time on information preparation tasks that have investigation regarding the info, loading information, and cleanup information, in line with an exploration conducted by Anaconda. The real-world massive information sets square measure obtained from several sources and contain data that tend to be incomplete, creaky, and inconsistent thence required correct investigation. during this context, it’s vital to arrange information to satisfy the necessities of information mining algorithms. this can be the role of the information pre-processing stage, within which information cleanup, transformation, and integration, or information spatiality reduction square measure performed. just about any sort of information analytics, information science or AI development needs some sort of information pre-processing to supply reliable, precise, and strong results for enterprise applications.

Published by: Piyush Lawatre, Mohammed Muzzammil, Rishabh Hingal, Fatir Khan, Rizwan Khan

Author: Piyush Lawatre

Paper ID: V7I3-1922

Paper Status: published

Published: June 18, 2021

Full Details
Research Paper

Image classification based plant disease detection

Agriculture is one of the important aspects in the world, also the contribution of agriculture to the GDP of India increased to 19.9 percent in 2020-21 from 17.8 percent in 2019-20. Globally crop disease becomes a major cause of concern, so to overcome this concern a plant disease detector should be there which gives good results and increases the yield for farmers. In this scenario, the best option for dealing with crop disease identification is an Image Classification based disease detection system. The key goal of this project is to identify the disease in real-time by uploading an image of the infected plant leaf to the system. Aside from that, the system suggests remedies for the particular disease that is identified by the system. Our proposed research paper includes various phases of implementation namely data set creation, image pre-processing, image post-processing, and finally disease classification and grading. Overall, we are using machine-learning techniques to train the dataset and finding the disease for that particular plant.

Published by: Jinesh Kansara, Kartik Atul Nerkar, Mihir Manish Brahmbhatt

Author: Jinesh Kansara

Paper ID: V7I3-1927

Paper Status: published

Published: June 18, 2021

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X