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Articles 50431 - 50460 of 294539
Full-Text Articles in Physical Sciences and Mathematics
Local Well-Posedness Of The Cauchy Problem For A P -Adic Nagumo-Type Equation, L. F. Chacón-Cortés, C. A. Garcia-Bibiano, Wilson A. Zuniga-Galindo
Local Well-Posedness Of The Cauchy Problem For A P -Adic Nagumo-Type Equation, L. F. Chacón-Cortés, C. A. Garcia-Bibiano, Wilson A. Zuniga-Galindo
School of Mathematical & Statistical Sciences Faculty Publications
We introduce a new family of p -adic nonlinear evolution equations. We establish the local well-posedness of the Cauchy problem for these equations in Sobolev-type spaces. For a certain subfamily, we show that the blow-up phenomenon occurs and provide numerical simulations showing this phenomenon.
Gc-308 Heart Disease Prediction And Analysis By Machine Learning, Venkata Sabarinath Nekkalapu, Venkata Anusha Yammada, Mrinal Kapoor, Sai Sindhu Ponugoti, Suman Pudota
Gc-308 Heart Disease Prediction And Analysis By Machine Learning, Venkata Sabarinath Nekkalapu, Venkata Anusha Yammada, Mrinal Kapoor, Sai Sindhu Ponugoti, Suman Pudota
C-Day Computing Showcase
The heart is the most crucial part of the Human body. The organ circulates blood out of the circulatory system’s blood vessels. Any disease or failure of this organ causes death. Heart disease is one of the primary sources of death in the cutting-edge world. There are 2,380 deaths from heart disease each day, based on 2018 data. Also, heart disease causes the highest number of deaths globally, with approximately 18 million people dying yearly, meaning around 31This prediction can be made using Machine Learning techniques. With machine learning. Combining a prediction model with machine learning correctly classified results for …
Gr-267 Churn Prediction, Manoj Kumar Dasari, Nikhil Thota, Dinesh Kumar Thota, Rishi Sai Basava, Prudhvi Kalyan Sai Sugguna
Gr-267 Churn Prediction, Manoj Kumar Dasari, Nikhil Thota, Dinesh Kumar Thota, Rishi Sai Basava, Prudhvi Kalyan Sai Sugguna
C-Day Computing Showcase
Employee churn is a situation where people leave the organization voluntarily or involuntarily. This has become a serious problem in recent times. We have also seen that attrition rates in several industries are going high. So, it is very much required to understand and analyze the reason behind attrition and why this is happening. We must conduct an analysis to know what the factors affecting employee churn are. It will create a huge impact on the organization if the attrition rate goes high. In order to resolve this issue, we are trying to take up this issue and find the …
Gr-283 Chatbot, Vamsi Krishna Dhulipalla
Gr-283 Chatbot, Vamsi Krishna Dhulipalla
C-Day Computing Showcase
Mental health issue are the most common issue facing in human society. These issues are mostly in impact negatively on working peoples, on the individual, his/her family, workplace, community, and the economy. Our project is based on mental health chat bot of natural language processing with deep learning models .We have a structure data set of Mental Health. In the data set we have nine columns. We use neural networks to create our models .We use another method call scratch in which we create a model by our self and use it so our project we create a layer with …
Gr-303 Dempster-Shafer Theory Of Computation, Dhanunjai Bandi, Sandeep Eadara, Sri Manju Nannapaneni, Jayanth Kumar Rayavarapu, Taraka Vishnu Yarlagadda
Gr-303 Dempster-Shafer Theory Of Computation, Dhanunjai Bandi, Sandeep Eadara, Sri Manju Nannapaneni, Jayanth Kumar Rayavarapu, Taraka Vishnu Yarlagadda
C-Day Computing Showcase
To implement the Dempster-Shafer Theory algorithm as well as check the prediction accuracy using this mentioned algorithm in the iris dataset. The actual aim of this paper is to understand and implement the Dempster-Shafer Theory using the python programming language. To reflect doubt and inaccuracies in the evidence, one might use a belief structure that is defined as a set function m that satisfies. The conjecture of this report is to get the closable prediction accuracy that can help to understand future improvement as well as the gap of the applied implementation techniques
Uc-247 Wild Fire: Friend Or Foe, Christian R. Henderson, Revian C. Jennings, Kwentin Shelton
Uc-247 Wild Fire: Friend Or Foe, Christian R. Henderson, Revian C. Jennings, Kwentin Shelton
C-Day Computing Showcase
The U.S. Army Corp of Engineers in Carters Lake required a game that attempts to educate on the principles of both prescribed and non-prescribed fires. They request that the game be playable on an android device housed in a HOLOFIL holographic display. Additionally, it needed to be created in the mirrored format as the projection flips everything. We decided to use Unity Real-Time Development Platform to complete the game’s development. Unity is a set of tools to give content creators an all-in-one development environment that helps content creators develop games and applications. “Unity is royalty-free and does not charge on …
Gc-311 Singsingmarketplace.Com: E-Commerce Marketplace For Remote Vendors, Daniel K. Tor, Ebikela Ogegbene-Ise
Gc-311 Singsingmarketplace.Com: E-Commerce Marketplace For Remote Vendors, Daniel K. Tor, Ebikela Ogegbene-Ise
C-Day Computing Showcase
American residents in the (Nigerian, Liberian, Indian, Ghanaian, etc.) Diaspora have strong ties back home and as such support loved ones, back home, on a regular basis, by sending cash remittances through Western Union, MoneyGram, etc. Remittances are expensive. Remitters have no control over how funds are spent once received. Remitters cannot send small amounts because the fees cannot be justified. We built a marketplace platform that allows the Diaspora to remit goods and services, instead of sending money to relatives back home in. The objectives are to remove or greatly reduce the cost of remittances, give more control to …
Gr-241 On Training Explainable Neurons, Lance Kennedy
Gr-241 On Training Explainable Neurons, Lance Kennedy
C-Day Computing Showcase
Neural networks have become increasingly powerful and commonplace tools for guiding decision-making. However, due to the black-box nature of many of these networks, it is often difficult to understand exactly what guides them to a certain prediction, making them dangerous to use for sensitive decision making, and making it difficult to ensure confidence in their output. For instance, a network which classifies images of dogs and cats may turn out to be flawed with little consequence, but a neural network that diagnoses the presence of diseases should be assured to make sound predictions. By understanding why a network makes the …
Uc-246 Spudify, Nathanial R. Bintliff, Jimmy V. Nguyen, Tyler Holmes, Alex M. Tawara, Addison Christian
Uc-246 Spudify, Nathanial R. Bintliff, Jimmy V. Nguyen, Tyler Holmes, Alex M. Tawara, Addison Christian
C-Day Computing Showcase
Spotify’s yearly wrapped report is extremely popular amongst its users. Unfortunately users must wait a year from every report to view statistics about their listening habits. Our app will allow users to generate reports displaying their top songs and artists whenever they want. Additionally, our app will allow users to generate recommendations for new music based on their favorite songs/artists. Users will also be able to generate advanced recommendations by inputting custom artists/genres/songs and customizing a variety of parameters such as the recommended song’s tempo, loudness, and danceability. Our app will give Spotify users the freedom to view statistics regarding …
Uc-249 Hemorrhage, Daniel M. Respess, Antonio S. Brewer, Kenny Tran, Sandy Li, Rick B. Watson
Uc-249 Hemorrhage, Daniel M. Respess, Antonio S. Brewer, Kenny Tran, Sandy Li, Rick B. Watson
C-Day Computing Showcase
Hemorrhage is a fast-paced FPS action game with a focus on risky gameplay and dodging enemy attacks. Fight your way through hordes of grotesque creatures and make it to the end! The player starts with limited health but can steal more from killing enemies. Then, you can unleash this stored-up health to deal massive damage to your foes! Will you choose to be an unkillable tank? Or a brutal glass cannon?
Uc-270 Red Pepper It: It Web Management Application And Content Management System, Eun Kim, Bukky Adekunle, Caitlin Washington, Neha Dedani, Ivana George
Uc-270 Red Pepper It: It Web Management Application And Content Management System, Eun Kim, Bukky Adekunle, Caitlin Washington, Neha Dedani, Ivana George
C-Day Computing Showcase
Red Pepper IT is an application developed for Georgia Tech Research Institute. The conception of this project arose from the lack of IT management tools that can address all the needs of an IT department. Furthermore, with the currently available tools, they are either poorly designed or have a high licensing cost. This project seeks to solve the need for such applications by building an open-source application that can be deployed internally by any business seeking a management tool for its IT department.
Uc-274 Restful Robots, Jack I. Young, Derek M. Comella, Sarah Thomas, Andrew Loveless
Uc-274 Restful Robots, Jack I. Young, Derek M. Comella, Sarah Thomas, Andrew Loveless
C-Day Computing Showcase
The UXA-90 Robots have been sitting idle at Kennesaw State University for years. The only documentation provided were factory manuals, and there was nothing additional found online. The first step was to conduct a risk assessment and report the results to Professor Perry and Dr. Pei. The objective of the risk assessment was to determine the viability of the robots and the feasibility of three different senior project teams using them for a project. Once the risk assessment was completed and reported it was determined that all three teams could proceed with their senior projects. However, it was recommended that …
Uc-277 Cosmic Cookoff, Milo D. Wilson, Aidan Fushimi, Wade G. Parham, Miller Anderson, Kosi M. Chima
Uc-277 Cosmic Cookoff, Milo D. Wilson, Aidan Fushimi, Wade G. Parham, Miller Anderson, Kosi M. Chima
C-Day Computing Showcase
A cooking rogue-like game where you cook the weapons you fight with.
Gc-243 - Analysis Of Alternatives Of Workstation Deployment Solutions, Mohammed S. Alam, Rahima Daino, Brittany Davis
Gc-243 - Analysis Of Alternatives Of Workstation Deployment Solutions, Mohammed S. Alam, Rahima Daino, Brittany Davis
C-Day Computing Showcase
Best suited for IT students who are able to use on-site (@ KSU) testing environment Perform a market survey of the best reviewed and used workstation deployment solutions Determine a set of requirements the business needs the solution to meet Determine metrics based off the requirements to measure the tools against each other Test the top 3 tools and provide a recommendation to the organization for which tool and its instructions for its basic initial setup
Gc-250 Object Detection And Tracking: Deep Learning-Based Framework With Euclidean Distance, Iou, And Hungarian Algorithm, Md Jobair Hossain Faruk
Gc-250 Object Detection And Tracking: Deep Learning-Based Framework With Euclidean Distance, Iou, And Hungarian Algorithm, Md Jobair Hossain Faruk
C-Day Computing Showcase
Object tracking is an important basis for the logistics industry where multiple packages are moved on conveyor belts at a time. Accurate datasets and efficient benchmarks are a few of the several problems for both object detection and tracking for training the deep learning-based framework. Preparing 100% accurate correspondence between objects throughout different frames by assigning human annotated unique_attributes to train framework efficiently over ground truth data. In this research, we develop an (i) OpenCV-based framework that allows the user to assign human-annotated identification between objects and (ii) a novel application for object detection and tracking. We utilize the assigned …
Gc-258 Heart Disease Prediction Using Machine Learning, Devin Jackson, Richard Stupka, Trinadh Chigurupati, Demontae Moore
Gc-258 Heart Disease Prediction Using Machine Learning, Devin Jackson, Richard Stupka, Trinadh Chigurupati, Demontae Moore
C-Day Computing Showcase
Research has shown that the early detection of Heart Disease is critical to treating and understanding the causes. Through the use of advanced machine learning models and com- prehensive data sets collected on patients of varying backgrounds and health statuses, this research shows the listed correlations between attributes of data points and positive identification of the disease. This research uses 1026 unique records and 14 attributes including the classifier of Heart Disease. These attributes range from simple (cholesterol level) to more complex and subjective (chest pain type) but each attribute presents an opportunity to improve each of the analyzed models …
Gc-279 Geometry Matching Task For Improving The Cognitive Ability In Rehabilitation Process, Samuel Owoade, Ravi Teja Chamarthi, Jeevana Kalipindi, Ghislain Dongbou Temgoua
Gc-279 Geometry Matching Task For Improving The Cognitive Ability In Rehabilitation Process, Samuel Owoade, Ravi Teja Chamarthi, Jeevana Kalipindi, Ghislain Dongbou Temgoua
C-Day Computing Showcase
According to Taylor & Francis Group, LLC (2015), in the National Library of Medicine“Traumatic brain injury (TBI) impacts the lives of 1.5 to 2 million new individuals each year; 75,000 to 100,000 of these are classified as severe and will suffer enduring severe spasticity in addition to cognitive”. This game follows and respect basic and fundamental rules of brain and muscles recovery process and will help patients in their process of rehabilitation and by extension will improve their cognitive abilities.
Gc-312 Gtri It Service Desk System, Koranna Nwago, Venkata Emani, Venkata Naga Rishita Gopi, Bhavishya Chatrathi, Siphiwindoda Msimanga
Gc-312 Gtri It Service Desk System, Koranna Nwago, Venkata Emani, Venkata Naga Rishita Gopi, Bhavishya Chatrathi, Siphiwindoda Msimanga
C-Day Computing Showcase
This overarching project would be web development, which would entail coding both the back end and the front end. The use of libraries is encouraged, but we must be cautious about licensing and ensure that this project remains as open-source as possible (a good open-source license ensures people can use, modify, redistribute, and sell without worry). This is a free and open-source project.
Gr-252 Solving Multiple Traveling Salesman Problem Using K Means Clustering And Mixed Integer Programming - An Integrated Approach, Navneet Verma
Gr-252 Solving Multiple Traveling Salesman Problem Using K Means Clustering And Mixed Integer Programming - An Integrated Approach, Navneet Verma
C-Day Computing Showcase
In this research paper, we explore an efficient algorithm for multiple Traveling Salesman Problem (m-TSP) using an approach which combines K Means clustering algorithm and Mixed Integer Programming (MIP). The Traveling Salesman problem is an NP hard problem which relates to generation of minimum cost round trip tours for multiple salesmen visiting several cities in their territory. Our novel approach has the promise of reaching closer to the optimal solution as compared to heuristics-based approaches such as genetic algorithms.
Gr-273 Building A Chatbot, Varun Gottam, Sathwik Chepyala, Sai Mohit Saimpu, Venkata Sai Krishna Yalavarthi, Nikhil Sai Buddiga
Gr-273 Building A Chatbot, Varun Gottam, Sathwik Chepyala, Sai Mohit Saimpu, Venkata Sai Krishna Yalavarthi, Nikhil Sai Buddiga
C-Day Computing Showcase
A chatbot is now a part of many online applications like Health Care, Education, E-commerce, etc. It made the conversation between the customers and the service providers much more convenient as the chatbot can answer most of the queries without human intervention from the website side. This saves a lot of time and work.
Gr-284 Automated Vulnerability Detection In Source Code Using Deep Neural Networks, Mst Shapna Akter
Gr-284 Automated Vulnerability Detection In Source Code Using Deep Neural Networks, Mst Shapna Akter
C-Day Computing Showcase
One of the most important challenges in the field of a software code audit is the presence of vulnerabilities in software source code. Every year, more and more software flaws are found, either internally in proprietary code or revealed publicly. These flaws are highly likely exploited and lead to system compromise, data leakage, or denial of service. C and C++ open-source code are now available in order to create a large-scale, machine-learning system for function-level vulnerability identification. We assembled a sizable dataset of millions of open-source functions that point to potential exploits. We created an efficient and scalable vulnerability detection …
Gr-287 Natural Disaster Prediction, Sravya Sabbu, Aishwarya Turlapati, Suryapraveen Adivi
Gr-287 Natural Disaster Prediction, Sravya Sabbu, Aishwarya Turlapati, Suryapraveen Adivi
C-Day Computing Showcase
Natural disasters are events that are difficult to avoid. There are several ways of reducing the risks of natural disasters. One of them is implementing disaster reduction programs. There are already several developed countries that apply the concept of disaster reduction. In addition to disaster reduction programs, there are several ways to predict or reducing the risks using artificial intelligence technology. One of them is machine learning. By utilizing this method at the moment, it facilitates tasks in visualizing, analysing, and predicting natural disaster. This project will focus on conducting a review process and understanding the purpose of Machine learning …
Gr-300 Azure Security Kql Query Builder, Navyapravalika Sabbula, Jeevana Kalipindi
Gr-300 Azure Security Kql Query Builder, Navyapravalika Sabbula, Jeevana Kalipindi
C-Day Computing Showcase
We produce and manage petabytes of data every day in today's culture when everything is digitally recorded, from our web surfing habits to our medical records. Big data will significantly alter all facets of existence. However, simply processing and interpreting data is insufficient; when data is presented visually, the human brain can identify patterns more quickly. In many different businesses, data analytics and visualization are essential decision-making tools. The visualization field is also opened up, displaying innovative thinking for visualizing the big-data dilemma. It is challenging to see such massive volumes of data in static or real-time formats. we explain …
Gr-306 Improving Wildfire Propagation Simulations Using Cellular Automata To Help Emergency Management, Madeline Frank, Lokesh Meesala, Yagnasree Bollineni, Amrutha Venkatesh, Mujahid Shaheed Shaik
Gr-306 Improving Wildfire Propagation Simulations Using Cellular Automata To Help Emergency Management, Madeline Frank, Lokesh Meesala, Yagnasree Bollineni, Amrutha Venkatesh, Mujahid Shaheed Shaik
C-Day Computing Showcase
Discrete computational models known as cellular automata (CA) utilize discrete spatial cells, each existing in one of a set of possible states at any given moment. Transition rules specify how a given cell’s state evolves in subsequent time steps and is dependent on the states of the given cell’s neighborhood of surrounding cells. A cellular automaton model can also account for the influence of other external or physical factors on the evolution of a given cell’s state. These capabilities afforded by CA models make it an ideal tool to simulate the propagation of wildfires. One specific study carried out by …
Gr-307 Eeg Classification Using Neural Network – An Application Of Machine Learning In Classification Of Attention Deficiency, To Measure The Effect Of Chakramarmakosha Meditation-Ii, Sreekanth Gopi
C-Day Computing Showcase
Stress reduces attention span and is a common problem that impacts students’ academic performance as well as their self-efficacy in handling challenging situations. Meditation techniques have been proven to help manage stress levels. In the previous research, the author used Heart Coherence as the metric to show the impact of ChakraMarmaKosha Meditation (CM), a meditation on human energy centers, on reducing the stress level. In this research we apply a new version of CM which is CM-II as a guided psychotherapy and cognitive therapy meditation, to analyze its impact on reducing attention deficiency among students. This study uses Electroencephalography (EEG) …
Uc-240 Gone Fishin' Vr, Donovan E. Lott, Richard Halbert, Tanner M. Peters, Joseph B. Hancock, Anthony L. Polidura
Uc-240 Gone Fishin' Vr, Donovan E. Lott, Richard Halbert, Tanner M. Peters, Joseph B. Hancock, Anthony L. Polidura
C-Day Computing Showcase
Gone Fishing is a VR game that allows the player to fish from the comfort of their own home. This take on a fishing simulator has creative and playful designs that are sure to surprise the players. With this game, we intend to invoke different comedic aspects found in other games such as designs, descriptions, and possible voiceovers in order to give the players a good time. This isn’t the average fishing simulator.
Uc-248 Gtri: It Management Web Application, Joshua D. Oliver, Teryn Bryant, Renate M. Hamrick, Kendra Hansford-Bellamy, Terrell B. Mcgilberry
Uc-248 Gtri: It Management Web Application, Joshua D. Oliver, Teryn Bryant, Renate M. Hamrick, Kendra Hansford-Bellamy, Terrell B. Mcgilberry
C-Day Computing Showcase
This application was part of an industry Capstone project with Georgia Tech Research Institute, with Mr. Matthew Pinkston as the industry sponsor, Ms. Allison Boyle as the industry Capstone coordinator, and Mr. Donald Privitera as the Capstone professor. Our team worked on creating the framework for an opensource, web-based IT management application that future developers can add various features and sub-applications onto for purposes such as asset and budget management. The application is PHP-based with its backend, utilizing the Laravel framework and several of its built-in features for routing, database management, login authentication with bcrypt hash security, and session tracking. …
Uc-253 Sp12 - Studio Buddy - Mobile Application, Alejandro Zicavo, Tubatsi Moloi, Elmiche Kinmakon
Uc-253 Sp12 - Studio Buddy - Mobile Application, Alejandro Zicavo, Tubatsi Moloi, Elmiche Kinmakon
C-Day Computing Showcase
This application is a collaboration between the Computer Science department and the Music department. The Music department has a use case for a Mobile Application and we will be able to use the capstone project to build this solution. Studio Buddy is a mobile application that will allow teachers and students to connect for coaching sessions. Teachers will be able to post practice material [hands-on and musical in nature] and assign the material to students. Teachers will be able to track progress for their students and better tailor each students practice exercises. This is not a replacement for any existing …
Uc-257 Gtri: Analysis Of Alternatives, Jake D. Pham, Zayda Huballah, Evans Jones, Roshni Modi, Salimata Bado
Uc-257 Gtri: Analysis Of Alternatives, Jake D. Pham, Zayda Huballah, Evans Jones, Roshni Modi, Salimata Bado
C-Day Computing Showcase
The Capstone project Analysis of Alternatives focuses on research and testing workstation deployment software and see if they can fulfill certain requirements that GTRI has requested. Planning and research was first conducted on ten different software that are available on the market where each software was evaluated on a point based system based on the requirements given to us by the company. After researching the ten software three are chosen that best fit the requirements from the company and are then moved to the testing phase. After testing the three chosen software the team will collectively decide which one to …
Uc-261 Grocery Application, Quin’Dariu A. Lyles-Woods, Adam Maksymczuk, Aidan Le-Beard, Jeetu Sharma, Danny Sor
Uc-261 Grocery Application, Quin’Dariu A. Lyles-Woods, Adam Maksymczuk, Aidan Le-Beard, Jeetu Sharma, Danny Sor
C-Day Computing Showcase
This project is being completed for Kennesaw State University’s CS 4850 - Computer Science Senior Project undergraduate capstone course. This project as described is a dynamic grocery list mobile app that updates all members when items are added. The app then must contain groups that the user is able to join, have a list that is shared between that group, and have the ability for all users in the group to add and remove items from the list. To notify the users, push notifications are likely to be used. In addition to having a shared list, it makes sense that …