Papers by K Annapoorneshwari Shetty
Zenodo (CERN European Organization for Nuclear Research), Sep 29, 2022
Purpose: Artificial Intelligence (AI) is the part of pc science that focuses on the creation of i... more Purpose: Artificial Intelligence (AI) is the part of pc science that focuses on the creation of intelligent machines, wondering and working like humans. It's ushering in a new era in healthcare, fueled by the expanding availability of healthcare data. and fast development of analytics techniques. AI can be applied to quite a several kinds of healthcare information (structured and unstructured). Forms of Artificial Intelligence (AI), like deep mastering algorithms and neural networks, and classical guide vector desktop, are can be used for data that is organized. Natural language processing for unstructured data is also available. Using this information AI can be used to routinely spot issues and threats to patient safety, such as patterns of sub-most excellent care or outbreaks of hospital-acquired illness with excessive accuracy and speed. The goal of the research is to make a representation of the current usage of AI in healthcare and its future use. Approach: The detailed survey method on secondary data is used for analyzing the data.
Semantic Context and Attention-driven Framework for Predicting Visual Description Utilizing a Deep Neural Network and Natural Language Processing
International Journal of Case Studies in Business, IT, and Education
Background/Purpose: This literature review's goal is to inspect various machine learning algo... more Background/Purpose: This literature review's goal is to inspect various machine learning algorithms for visual description and their applications to prediction. Examining the numerous approaches mentioned in this area brings up a fresh avenue for expanding the current research methods. Design/Methodology/Approach: The study results that are provided in different scholarly works are acquired from secondary sources, such as scholarly journal publications. This review study analyses these articles and highlights their interpretations. Findings/Result: This research focuses on several cataloguing methods for isolated identifying images and visions. When developing research topics in the idea of inaccessible detecting geographic information systems, the gaps discovered during analysis using various methodologies have made things simpler. Research limitations/implications: This study examined a range of AI tool uses. The scope of this work is rivetted to a assessment of the many machi...
Comparative Study of Detecting Obesity Using Machine Learning Algorithms
Redshine Archive
The terms "overweight" and "obesity" refer to weight increase that is unnatur... more The terms "overweight" and "obesity" refer to weight increase that is unnatural or excessive and creates a health concern. Overweight is defined as a BMI of 25 or higher, and obesity as a BMI of 30 or higher. It is termed as a medical condition which increases the risk of medical conditions like heart diseases, hypertension, Type 2 diabetes, sleep apnea, coronary heart disease, etc. Dietary intake, inactivity, specific environmental variables, heredity, and medical conditions are the main causes of obesity. Adults in the current generation are more likely to be obese due to their unhealthy lifestyles and stress. In this paper we applied classification machine learning algorithms KNN and DT and compared those algorithms in obesity from the Data collected from UCI Machine Learning Repository, resulting in the nearest accurate outcomes. we try to implement a model which will help us get an accurate measure to predict the obesity level from the data.
Cricket Match Prediction Using Baye’s Theorem
Redshine Archive
In this discussion, we went over how the ODI, T20, and IPL matches help cricket teams succeed. Sp... more In this discussion, we went over how the ODI, T20, and IPL matches help cricket teams succeed. Sports are the last thing to have a goal. The main factors determining whether a team will win the match are scoring and team strength. There is still further study required for some of the main ideas that are mentioned in the literature review. Some benefits include having a home field advantage and winning the coin toss for a specific match.
Gender Determination and Face Recognition Using Simple Method
Redshine Archive
This system is a focused variation of a more comprehensive object recognition system. Face-relate... more This system is a focused variation of a more comprehensive object recognition system. Face-related images are displayed as graphs that are tagged with topographical data and local templates. Different graphs are used to illustrate different poses.By comparing the new face with a set of computerized graphs, the "generic face knowledge," an elastic graph matching technique creates new graphs of faces. A composite image of a person's face can be created during the last phase of the matching process, and Additionally, it can identify elements that are comprised of the general face knowledge, such as gender or the existence of spectacles or a beard. A similarity function that compares the graphs makes the system effective at recognizing faces.
Use of Super-Resolution in Text-Detection
Redshine Archive
Text images are used to convey crucial information in a variety of applications, but it can be ha... more Text images are used to convey crucial information in a variety of applications, but it can be hard to recognise low-resolution text images. The majority of previous solutions use a cascaded technique to handle this issue in two steps: high-resolution text recognition and image super-resolution. It is quite difficult to recognise text from a poor-clarity image. The goal of super- resolution is to transform low-resolution images into high-resolution ones. The study examines, contrasts, and compares the technological difficulties, approaches, and efficacy of super-resolution in text detection. This research looks into the role of super-resolution in low-resolution picture text recognition.
International Journal of Innovative Research in Computer and Communication Engineering, 2014
Machine learning deals with the construction and study of systems that can learn from data, rathe... more Machine learning deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions. Classification is the problem of identifying to which of a set of protein categories a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known based on positive and negative datasets. This paper primarily emphasizes on the development of prediction tool for drought tolerant protein NAC in rice using Support Vector Machine algorithm. In this paper, we have used seven feature extraction methods including amino acid features, dipeptide, hybrid methods and exchange group features. Using dipeptide features, we have obtained a precision rate of 86% for the NACPredictor tool. This is also further compared with sequence similarity search tool PSI-BLAST.
International journal of engineering research and technology, 2019
This paper predicts the category of applications that are developed in large number of installed ... more This paper predicts the category of applications that are developed in large number of installed apps, it is often tedious for users to search for the app they want to download on bases on their liking or needs. In this paper we used K NN classifier for predicting the data. We examine that category of applications are dependent on number of downloads, reviews and ratings
Requirements and their quality are very important for the success and on time delivery of a proje... more Requirements and their quality are very important for the success and on time delivery of a project. However, Requirement Elicitation is not an easy and small task to begin with. Conflicts arise in various ways such as way of looking at things and analyzing them, differences in expectation, mental model and many more. In many cases, clients and users are not completely sure about their actual needs in the beginning. Hence the actual solution for all such problems and conflicts is a step by step process called Requirements Engineering (RE). RE aids us in identifying, analyzing and documenting system requirements. This is an important task because it helps to eradicate mistakes and conflicts, if any, in the very early stage of development. In any approach of Software Development, RE is a very important step. Aspect Oriented Software Development is not an exception to this. Aspect Oriented Requirements Engineering (AORE) helps in providing better solution by offering new methods and ap...
Lempel-Ziv-Welch (LZW) Data compression algorithm developed by Abraham Lempel, Jacob Ziv, and Ter... more Lempel-Ziv-Welch (LZW) Data compression algorithm developed by Abraham Lempel, Jacob Ziv, and Terry Welch. LZW compression algorithm is one of the Adaptive Dictionary techniques. Dictionary cannot be transmitted .Dictionary is built while the data being encoded. So encoding is done on the fly. Dictionary built up at receiving end on the fly. If the dictionary overflows we have to reinitialize the dictionary and add a bit to one of the code words. Choosing large dictionary size avoids overflow, but spoils the compressions. A dictionary having the source symbols is developed. For 8-bit images of an monochrome, the first 256 words of the dictionary are allotted to the gray levels 0-255 left over part of the dictionary is filled with sequences of the gray levels.LZW compression algorithm works best when applied images of an monochrome and text files that contain repetitive text/patterns Keywords-Compression Ratio, Decoding, Encoding
Indian Journal of Science and Technology, 2015
Detection of Face Masks Using Deep Learning
Redshine Archive
The COVID-19 pandemic has quickly disrupted global trade and travel, affecting our day-to-day liv... more The COVID-19 pandemic has quickly disrupted global trade and travel, affecting our day-to-day lives. In its 209th report, released on August 16, 2020, The World Health Organization (WHO) reported that the acute respiratory syndrome (SARS-CoV2) coronavirus illness (COVID-19) has killed more than 379,941 people and infected more than 6000000 people worldwide. The custom of donning a safety mask has evolved. Many public service providers may soon need their clients to wear the necessary masks in order to use their services. In order to serve the worldwide society, face mask detection is becoming a key responsibility. The face mask alone can reduce the risk of contracting the infection by more than 70%. Infections have swiftly spread in some regions as a result of incorrect use of face masks. To solve this issue, we needed a dependable mask monitoring system. The several government agencies who are attempting to make wearing a face mask mandatory can benefit from face mask identificatio...
International journal of case studies in business, IT, and education, Nov 16, 2022
Background/Purpose: Wipro is a market leader in business process outsourcing, consulting, and inf... more Background/Purpose: Wipro is a market leader in business process outsourcing, consulting, and information technology worldwide. Wipro helps clients succeed in the digital world by utilising cognitive computing, hyper-automation, robots, the cloud, analytics, and emerging technologies. They have more than 2 lakh committed people serving customers on six continents and are well-known throughout the world for their extensive service portfolio, strong commitment to sustainability, and outstanding corporate citizenship. They generate original concepts and make connections to forge a brighter and riskier future. Objective: To examine Wipro's growth and problems, as well as the contributing factors that aided this expansion. Design/Methodology/Approach: Information gathered from a variety of academic journals and web articles was analysed and presented using the SWOC framework. Findings/Result: Based on the examination of facts and numbers as well as the many scenarios of firm expansion in India, it is clear that the Wipro company has experienced significant growth and advancement in various areas such as job creation and the country's economy. A few suggestions are also made to expand on the notion. Research limitations/implications: The analyses and solutions presented in this article are only applicable to businesses with similar operations, yearly revenues, and levels of expertise to Wipro. Originality/Value: This article focuses on a number of variables and situations that allowed Wipro to expand and earn the title "Giant of Companies" in the process. Paper Type: A Research Case study paper on Wipro's success and contributing elements in India and becoming one of the top firms.
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2022
The essential task in tracing the source of the theft is to secure the digital proof from the loc... more The essential task in tracing the source of the theft is to secure the digital proof from the location where the data was misused. But, more significantly, the data evidence must be sent to the main server without being intercepted by a Man-in-the-Middle assault. Diffie-Hellman Key Exchange Algorithm is used to securely exchange cryptographic keys from the admin and investigator. Here different layers of security have been identified. The proposed method uses message digest, encryption and steganography to implement secure transfer of digital evidence from the crime scene.
The Giant of the Global Software Industry - WIPRO: A Case Study
International Journal of Case Studies in Business, IT, and Education
Background/Purpose: Wipro is a market leader in business process outsourcing, consulting, and inf... more Background/Purpose: Wipro is a market leader in business process outsourcing, consulting, and information technology worldwide. Wipro helps clients succeed in the digital world by utilising cognitive computing, hyper-automation, robots, the cloud, analytics, and emerging technologies. They have more than 2 lakh committed people serving customers on six continents and are well-known throughout the world for their extensive service portfolio, strong commitment to sustainability, and outstanding corporate citizenship. They generate original concepts and make connections to forge a brighter and riskier future. Objective: To examine Wipro's growth and problems, as well as the contributing factors that aided this expansion. Design/Methodology/Approach: Information gathered from a variety of academic journals and web articles was analysed and presented using the SWOC framework. Findings/Result: Based on the examination of facts and numbers as well as the many scenarios of firm expansio...
IJSRCSAMS, 2020
Education is viewed as basic for the advancement of the people, yet additionally for the improvem... more Education is viewed as basic for the advancement of the people, yet additionally for the improvement of network and country. To make progress in all areas and to use new and creative strategies and approaches, individuals need to build knowledge and develop their academic skills. This research paper's main purpose is to understand the factors that influence students ' academic performance in higher education It is noted that more number of students tend to score less in academics as they pursue higher studies. There are many factors which are responsible for this. In this paper we have tried to analyze the factors which are affecting the students academics. This factors are classified into various sub categories. This factor have various affect on various individual student according to the situation and student background.
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Papers by K Annapoorneshwari Shetty