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Articles 2551 - 2580 of 63082
Full-Text Articles in Entire DC Network
Grm-1153 National Energy And Emission Modeling And Analysis Tool, Swetha Kakaraparthi, S M Tanvir Faysal Alam Chowdhoury
Grm-1153 National Energy And Emission Modeling And Analysis Tool, Swetha Kakaraparthi, S M Tanvir Faysal Alam Chowdhoury
C-Day Computing Showcase
NEEMAT is a web-based decision-support tool that predicts vehicle and power-plant emissions plus fuel/energy consumption under rising EV adoption for Atlanta, Los Angeles, New York, and Seattle. A feedforward neural network trained on MOVES estimates tract-level vehicle energy use and CO2/NOx/PM2.5 by speed, vehicle type, fuel, and age, while a macroscopic traffic model captures flow effects. Grid-side CO2/CH4/N2O from EV charging are forecast with a Meta-Prophet model trained on Cambium. Users can explore 24-hour profiles and five-year outlooks, compare scenarios, and export results. Findings show that despite substantial EV uptake, mixed fleets and grid responses can raise total emissions, underscoring …
Grm-1249 Ai-Assisted Diabetic Retinopathy Screening From Fundus Images, Mohan Krishna Thiriveedhi, Tarun Teja Pokala
Grm-1249 Ai-Assisted Diabetic Retinopathy Screening From Fundus Images, Mohan Krishna Thiriveedhi, Tarun Teja Pokala
C-Day Computing Showcase
Diabetic Retinopathy (DR) is a major cause of avoidable blindness among diabetic patients worldwide. Early screening is critical, but manual diagnosis is time-consuming and requires specialists. This paper presents a deep learning system to automatically analyze retinal fundus images and perform a focused, binary classification to distinguish between 'No DR' (Healthy) and 'Severe-Stage DR' (Severe/Proliferative). We benchmark three prominent architectures: a ResNet-50, an EfficientNet-B0, and a Vision Transformer (ViT-B/16). The models are trained and evaluated on a custom-balanced, binary dataset derived from the APTOS 2019 collection. We conduct two experiments, one with a small dataset (N=500) and one with a …
Uc-0205 Enhancing Gimp’S User Experience: Addressing Community Ui/Ux Issues, Alexander Stanley, Ryan Harrison, Dante Galvan, Rami Elmostafa
Uc-0205 Enhancing Gimp’S User Experience: Addressing Community Ui/Ux Issues, Alexander Stanley, Ryan Harrison, Dante Galvan, Rami Elmostafa
C-Day Computing Showcase
Water quality monitoring is crucial for environmental protection, public health, and ecosystem sustainability. With increasing pressures from urbanization, agricultural runoff, and climate change, robust data-driven approaches are essential for early detection of water quality degradation and informed decision-making in environmental conservation efforts. Current water quality monitoring relies on reactive threshold exceedances, failing to detect gradual degradation and multi-parameter deterioration patterns. This creates delayed response to pollution events and missed opportunities for preventive intervention in one of Queensland's most vital water systems. The importance objective is to implement and evaluate a Real-Time Multi-Stream Monitoring system for early detection of water quality …
Uc-0253 Stock Price Predictions Using Lstm & Technical Indicators, Kendal Elison, Allen Smith, Dylan Quinn
Uc-0253 Stock Price Predictions Using Lstm & Technical Indicators, Kendal Elison, Allen Smith, Dylan Quinn
C-Day Computing Showcase
Stock price predictions using traditional statistical methods remains challenging due to market volatility and nonlinear dynamics. Long Short-Term Memory (LTSM) networks may model temporal dependencies in stock data more effectively than traditional statistical methods. Historical data for several companies’ stocks was obtained from Yahoo Finance, where it was then enriched with various technical indicators such as momentum and volatility. Preliminary analysis through Scala programming language suggests that incorporating these technical indicators can enhance short-term price prediction accuracy. Future works may seek to integrate additional trend and volume based indications in another, more robust, programming language like Python.
Uc-1140 Riverguard, Grant Versluis, Collin Tucker, Wyatt Bramblett, Pedro Pinto, Geshlee Ruiz
Uc-1140 Riverguard, Grant Versluis, Collin Tucker, Wyatt Bramblett, Pedro Pinto, Geshlee Ruiz
C-Day Computing Showcase
RiverGuard’s mission is to protect and preserve waterways by using technology to identify and reduce pollution. The system uses an object detection model to automatically locate and classify trash within images or video of rivers and lakes, removing the need for slow, manual observation. By providing real-time insight into waste accumulation, RiverGuard helps communities, researchers, and organizations take faster, more effective action to keep waterways clean. Its goal is to create a sustainable monitoring system that empowers people to understand pollution patterns and support long-term environmental responsibility. RiverGuard represents a step toward cleaner water, healthier ecosystems, and a more informed …
Uc-1168 Shepherd's Sin - A Visual Novel Hybrid Game Made With Unity, Ara Randolph, Rin Egl, Everett Joiner, Jonah Swerdlow
Uc-1168 Shepherd's Sin - A Visual Novel Hybrid Game Made With Unity, Ara Randolph, Rin Egl, Everett Joiner, Jonah Swerdlow
C-Day Computing Showcase
By day, the grand old house shifts and shudders as if though alive. The six other residents gather in its lounges and parlors, sipping tea, squabbling over rooms, and faking civility. They laugh, they bicker, and they carry on as though nothing festers within these walls. When night falls, their facades rot away. They twist into monstrous embodiments of malice, each one a reflection of the seven deadly sins. By morning, they forget. You do not. Armed with a worn-out Monster Hunter’s Guidebook, you must reclaim its missing pages to learn who these people truly are, what they truly are. …
Uc-1183 Morphyxcam: Instant Photo Transformation Tool, Priscilla Awatey, Long Doan, Shaokun Weng, Aryan Merchant
Uc-1183 Morphyxcam: Instant Photo Transformation Tool, Priscilla Awatey, Long Doan, Shaokun Weng, Aryan Merchant
C-Day Computing Showcase
MorphyxCam is an interactive browser-based application that lets users capture live images and apply real-time visual effects. The system performs color filtering, shading adjustments, dynamic warping, and expressive distortion effects. Users can instantly reshape features, apply artistic styles, and wrap their photos onto 3D surfaces, creating engaging and playful visual transformations. By capturing live camera images and transforming them through pixel-level filtering, distortion effects, and 3D surface mapping, the system shows how multimedia techniques can be applied creatively within a web browser. Overall, MorphyxCam showcases the potential of interactive digital imaging and highlights how accessible web technologies can be used …
Uc-1196 Verocity: A Reactive Combat Framework, Brendan Moore
Uc-1196 Verocity: A Reactive Combat Framework, Brendan Moore
C-Day Computing Showcase
Verocity is a Minecraft plugin designed for fast-paced, visceral combat, where interactivity and FUN take center stage. The complex mathematics and system design required to build this plugin push the limits of standard Minecraft development, providing a reactive framework for advanced combat interactions. New Actions and Combat Features: Enhanced Basic Attacks – Smooth, responsive, and satisfying to chain together. Throwable Items – Every item can be thrown. Swords lodge into enemies on impact, ready to be recovered. Dashing – Lunge to swords stuck in the ground or at enemies to pull them out while tactically repositioning. Umbral Blade – Command …
Uc-1207 Ai Driven Resident Inquiry Processing, Ben Moran, Sahil Sachwani, Thomas Ashe, Sean Johnson
Uc-1207 Ai Driven Resident Inquiry Processing, Ben Moran, Sahil Sachwani, Thomas Ashe, Sean Johnson
C-Day Computing Showcase
The AI Driven Resident Inquiry Processing System is designed to enhance the National Housing Compliance (NHC) ability to process resident inquiries using artificial intelligence(AI). NHC is a 501(c)(4) not-for-profit corporation who provides training and compliance services to the affordable housing industry. Each month NHC receives over 200 inquiries from residents via phone and email. These inquiries range from general questions to urgent, life-threatening concerns. Efficiently processing and responding to these inquiries is often critical to resident safety and well being. This project uses AI to automate resident inquiries as they are received, extract and classify key information, and display this …
Uc-1211 Machine Learning Linux Log Anomaly Detection, Samuel Scott, Audrey Loisy, Dylan Silva-Rivas, Sheamus Brady
Uc-1211 Machine Learning Linux Log Anomaly Detection, Samuel Scott, Audrey Loisy, Dylan Silva-Rivas, Sheamus Brady
C-Day Computing Showcase
Cybersecurity is becoming an increasingly important part of digital life. Malware can silently intrude on a user’s system and perform malicious actions and generate unusual system behavior without the user ever being aware. This malware often presents with unusual system logs being generated. These logs, however, are difficult to consistently track and analyze, especially for casual users. To help bridge this gap between hard-to-read log data and the useful information it contains, we created LUAADS (short for Linux User Account Anomaly Detection System), designed for Ubuntu systems. LUAADS can automatically collect entries from common log files (such as syslog and …
Uc-1222 Active Learning System For Labeling Chest X-Rays, Matthew Hall, Noah Lane, Josh Smith, Elijah Merrill
Uc-1222 Active Learning System For Labeling Chest X-Rays, Matthew Hall, Noah Lane, Josh Smith, Elijah Merrill
C-Day Computing Showcase
This project aims to develop a complete Active Learning System for chest X-ray image classification, designed to automate data preparation, streamline model training, and reduce the manual effort required for medical image labeling. The system establishes a structured and scalable pipeline that moves from raw data ingestion to automated decision-making, incorporating dataset indexing, patient-aware splitting, preprocessing, configuration management, and validation to ensure data flows reliably through the system. The model component uses CNNs to generate baseline diagnostic predictions across chest pathologies. Active learning strategies are then applied to identify the most informative unlabeled images, enabling iterative retraining that improves model …
Uc-1226 Iknowit: Multilingual Smartphone Tutorial Platform, Jacqueline Juarez, David Bazan, Julissa Rivera
Uc-1226 Iknowit: Multilingual Smartphone Tutorial Platform, Jacqueline Juarez, David Bazan, Julissa Rivera
C-Day Computing Showcase
Digital literacy challenges affect millions of adults who struggle with basic smartphone use due to rapidly changing technology and limited support. iKnowIT is a dynamic, web-based learning platform designed to provide clear, visual, and multilingual tutorials that guide users through essential device functions. The goal of iKnowIT is to bridge the digital divide and empower users to engage confidently with modern technology
Uc-1244 Agentic Ai For Intelligent Customer Communication, Lucas Papadopoulos, Jeremy Hopkins, Munir Gargour, Weston Dease
Uc-1244 Agentic Ai For Intelligent Customer Communication, Lucas Papadopoulos, Jeremy Hopkins, Munir Gargour, Weston Dease
C-Day Computing Showcase
E-commerce web shoppers need fast, reliable responses to a variety of requests: account modifications, order tracking, or policy inquiries. Businesses must address user queries in a fast and efficient manner, or else lose customers. Multi-agent AI models boast the ability to answer customer questions and act upon consumer queries without outside intervention. However, research is sparse as to how agentic models can transfer benefit to large commercial software stacks under realistic commercial load. We sought to ask whether a multi-agent AI architecture can effectively handle commercial-scale e-commerce customer service tasks. Moreover, we investigated how a multi-agent AI architecture compares to …
Uc-1259 Light'em Up, Collin Sutton, Ronnie Jones, Max Anderson
Uc-1259 Light'em Up, Collin Sutton, Ronnie Jones, Max Anderson
C-Day Computing Showcase
The primary goal of “Light’em Up” is to create engaging and intelligent AI that can operate within three degrees of freedom and against forces of gravity. Enemies will track the player, predict their movement, and collaborate to set traps and outflank them. All of this takes place in space, at high speeds, and at a scale where gravity has a real effect on navigation. We have four distinct AI enemies at play: Homing missiles - single agent system that follows the player’s movement at a slightly faster speed Tracking missiles - single agent system that moves at a constant speed …
Uc-1261 Ai-Powered Gre Vocabulary App, Michael Verde, Ellyan Landeta, Cynthia Onuorah, David Tran, Bereket Binchamo
Uc-1261 Ai-Powered Gre Vocabulary App, Michael Verde, Ellyan Landeta, Cynthia Onuorah, David Tran, Bereket Binchamo
C-Day Computing Showcase
Our project develops a client-side React application for GRE vocabulary practice using structured JSON word data. The site supports filtering, search, audio output, and randomized quizzes. A reinforcement-learning hint system, inspired by prior research on adaptive learning, guides users toward difficult vocabulary. We aimed to create an interface that demonstrates how lightweight front-end tools can support personalized study without requiring a backend.
Uc-1263 Budgetwise - The College Friendly Budgeting App, Taylor Thompson, Yasmeen Issa, Sameer Khan, John Nguyen, Reynaldo Lechuga
Uc-1263 Budgetwise - The College Friendly Budgeting App, Taylor Thompson, Yasmeen Issa, Sameer Khan, John Nguyen, Reynaldo Lechuga
C-Day Computing Showcase
For our senior project, we developed BudgetWise, a budgeting app designed to help college students manage their finances with confidence. BudgetWise has an emphasis on ease of use and accessibility, with features such as dark mode for improved visibility. Bank accounts and credit cards can be securely linked to the user’s account where they can track their recent purchases, create budgets based on their personalized needs, and track their spending with a dynamic progress bar that changes colors the closer they get to their budget limit. By combining financial tools with accessibility, BudgetWise empowers students to make informed financial decisions …
Uc-1273 V.A.P.R. Rush, Rylan Collins, Jullian Duarte, Oliver Hugh, Ethan Mcmillian
Uc-1273 V.A.P.R. Rush, Rylan Collins, Jullian Duarte, Oliver Hugh, Ethan Mcmillian
C-Day Computing Showcase
A 3D platformer where you can transform from a cube to a boat and a plane. The game is on mobile and features the player traversing through a vapor wave inspired level with techno music in the background. They must perform jumps and lane switches to the beat of the song, and survive to the end of the level to win.
Uc-0180 Encoding Creative Commons Licenses To Images, Tyler Pellegrini, Trey Wilcox, Marcus Johnson, Connor Oberlin
Uc-0180 Encoding Creative Commons Licenses To Images, Tyler Pellegrini, Trey Wilcox, Marcus Johnson, Connor Oberlin
C-Day Computing Showcase
In our project we were tasked with modifying Gimp’s metadata editor to allow artists to check and add Creative Commons licenses and metadata to their image’s. This is done so that artist have an extra layer of protection for themselves and their art, with the ability to choose from multiple types of licenses allowing them to tailor this protection to the needs and desires they have for their artwork.
Uc-0223 Predicting Nba Player Re-Injury Using Net Rating, Anaya Tention
Uc-0223 Predicting Nba Player Re-Injury Using Net Rating, Anaya Tention
C-Day Computing Showcase
This project examines whether player performance data can signal injury risk before an absence occurs. Using game-by-game net rating trends, I applied an exponentially weighted control-chart approach to detect early shifts in performance that might indicate a rising risk of re-injury. The method successfully identified 71% of re-injury cases with an average 20-game lead, suggesting that performance declines can serve as an early warning signal. While the false-alarm rate was high, the results show that performance-based monitoring has potential value for teams seeking proactive player-health insights.
Uc-0250 Tortured Artist, Caitlin Tigani, Ben Scholl, Anaiya Tucker, Adam Tucker
Uc-0250 Tortured Artist, Caitlin Tigani, Ben Scholl, Anaiya Tucker, Adam Tucker
C-Day Computing Showcase
You are a photographer that wants to move, so you take pictures of your house to give to your real- estate agent. However, as you are developing the photos you hear a noise that makes you turn on the lights, ruining your photos. Now you must retake the photos before morning, but something around the house has changed. Rooms are no longer in the right place, items are moved around, doors are locked, and an entity is watching you. Will you find the secrets within the puzzles or be left tortured?
Uc-0224 Loving Arms: Website Audit & Redesign, Marcus Harrison, Chris Stropoli, Katherine Gibson, Vaughn Berger, Jesus Flores Valdez
Uc-0224 Loving Arms: Website Audit & Redesign, Marcus Harrison, Chris Stropoli, Katherine Gibson, Vaughn Berger, Jesus Flores Valdez
C-Day Computing Showcase
Our team’s project aims to enhance the Loving Arms Cancer Outreach website, making it more accessible and user-friendly for all visitors. Loving Arms is a nonprofit supporting individuals and families affected by cancer, and their website plays a key role in sharing information, connecting people to support programs, and reaching those in need. To achieve this, we first audited the current site to identify areas of confusion or outdated content, and we are currently in the process of providing a redesigned website. These updates are intended to improve the visitor experience while giving staff a reliable, easy-to-use platform that better …
Uc-1149 Ai Systems For A Stealth Videogame, Lukas Ehler, Evan Weir, Javier Corona
Uc-1149 Ai Systems For A Stealth Videogame, Lukas Ehler, Evan Weir, Javier Corona
C-Day Computing Showcase
Shmovement Games 3/5 has been making progress towards creating a videogame that leverages multiple types of AI systems working in unison with one-another. This will be a game in which the player sneaks around enemies while trying to grab objects marked as the player's primary objective. This is a project for our CGDD 4242 AI class in which we are implementing a single agent, multi-agent, and advanced multi-agent system into one game.
Uc-1166 Southern Bathtub Race: A Video Game Revival, Caroline Roberson, Jes Crouch, Treonna Gardner, Jose Landaverde, Jake Lashley
Uc-1166 Southern Bathtub Race: A Video Game Revival, Caroline Roberson, Jes Crouch, Treonna Gardner, Jose Landaverde, Jake Lashley
C-Day Computing Showcase
Southern Bathtub Race is a video game commemorating the annual SPSU Bathtub Races held from 1968 - 1991. The player controls a bathtub racer from a 1st-person perspective as they compete against the computer to navigate a racetrack modeled after the SPSU campus of 1991. The environmental assets and textures were created with traditional acrylic painting. The game is intended to replicate the races and student spirit on the SPSU campus for both SPSU alumni and KSU students.
Uc-1175 Admissions Assistant - Ai Chatbot, Chelsea Oduro, Jeffery Bond, Tanner Morgan, Allen Scott, Joy Parks
Uc-1175 Admissions Assistant - Ai Chatbot, Chelsea Oduro, Jeffery Bond, Tanner Morgan, Allen Scott, Joy Parks
C-Day Computing Showcase
The Kennesaw State University (KSU) Graduate Admissions website contains extensive information on programs, application processes, deadlines, and eligibility requirements. However, its dense structure can make it difficult for prospective students to quickly locate specific details. This often leads to repeated inquiries from admissions staff, increasing their workload and delaying responses to more complex applicant needs. This project addresses those challenges by introducing a chatbot capable of retrieving and presenting the website information in a more intuitive, conversational format, improving user satisfaction and reducing workflow overhead for admissions staff.
Uc-1232 Stronghold, Caitlin Tigani, Adam Tucker, Camden Lloyd, Dale Balsor
Uc-1232 Stronghold, Caitlin Tigani, Adam Tucker, Camden Lloyd, Dale Balsor
C-Day Computing Showcase
Our goal for this game is to create a game using both a single agent and multi agent AIs. In our game you can either play against the current AI or train the AI up as it fights against another AI. The training will use genetic AI. So whichever AI wins that row will be the one that move on. The loser will have their weights adjusted. This means the more that you train the Stronghold AI the harder the AI will be to fight against. The final game mode available is being able to play against another.
Uc-1234 Fundoria, Connor Stabler, Dameon Jones, Rafay Hassan, Michael Liu, Brenden Horne
Uc-1234 Fundoria, Connor Stabler, Dameon Jones, Rafay Hassan, Michael Liu, Brenden Horne
C-Day Computing Showcase
Fundoria is an educational technology project designed to transform financial literacy and career readiness for elementary and middle-grade students. The platform combines interactive gameplay, AI-driven personalized learning, and real-world job simulations to teach essential financial concepts in an engaging, age-appropriate way. Students explore budgeting, saving, banking, and career skills through guided missions that adapt to their learning styles. Fundoria also provides teachers and schools with standards-aligned activities, classroom resources, and assessment tools that connect academic content to practical, everyday decisions. By blending gamification with evidence-based instruction, Fundoria empowers students to build confidence, develop responsible financial habits, and prepare for future …
Uc-1240 Project Ibis, Isaac Alderman, Braden Mizell, Collin Sutton
Uc-1240 Project Ibis, Isaac Alderman, Braden Mizell, Collin Sutton
C-Day Computing Showcase
Project Ibis (working title) is a first person, narrative heavy, puzzle-lite RPG that follows the story of a renaissance era plague doctor and their attempt to alter the minds of three subjects; a gardener, a street urchin, and a priest. The game’s narrative is set in historically accurate 1637 Florence, Italy, in the wake of the Great Plague of Milan, and draws heavily from renaissance culture. Each subject being treated is a complex person with personal conflicts and issues; our focus is on tackling mental and emotional health through empathy and nuance rather than diagnosis. Different aspects of each subject’s …
Uc-1257 Integrating A Pressure Profiling Dock Into An Open-Source Digital Art Framework, Luke Miller, Noah Enyart, Jonah Smith, Jaeden Jones
Uc-1257 Integrating A Pressure Profiling Dock Into An Open-Source Digital Art Framework, Luke Miller, Noah Enyart, Jonah Smith, Jaeden Jones
C-Day Computing Showcase
The effectiveness and expressiveness of digital drawing are heavily dependent on an artist’s control over their medium; pen pressure dynamics, which enables fine-tuned variation in line weight and opacity. While the use of this tool improves an artist's control, the open-source editor GIMP currently offers only limited means to visualize or adjust these pressure behaviors in real time. GIMP does support pressure-based input, however, it lacks a dedicated interface for configuring a personalized pressure profile, creating a barrier for users seeking precision comparable to commercial tools. This project addresses that gap by designing and implementing a Stylus Pressure Profiling Dock …
Uc-1260 Digital Micromouse Maze Simulation, Chase Bell
Uc-1260 Digital Micromouse Maze Simulation, Chase Bell
C-Day Computing Showcase
We construct a digital simulation of the Micromouse competition and analyze popular algorithms for searching (A*, Dijkstra’s, and Flood-fill). From our analyses, we design an algorithm with the goal of achieving the shortest possible run time to the end of the maze.
Uc-1262 Georgia Watch - Georgia Hospital Accountability Score, Robert Straiton, Patrick Cox, Constant Nortey, Sankalp Amaravadi, Kahmin Keller
Uc-1262 Georgia Watch - Georgia Hospital Accountability Score, Robert Straiton, Patrick Cox, Constant Nortey, Sankalp Amaravadi, Kahmin Keller
C-Day Computing Showcase
Georgia Watch and the members of this team have partnered to change how Georgia residents understand their healthcare by providing a source of objective metrics which affect their care. This project represents the quintessential React Project produced with the purpose of a reactive interface for the end user, built for maintainability for any subsequent developers. The hospital data is maintained in JSON format for its ease of parsing and adjustment pending any changes. The interactive map was developed through the MAPBOX library, and the team is maintaining a deployment via an independent repository with necessary control over the website.