Computer Sciences Commons^™

Performance Assessment Of Some Phishing Predictive Models Based On Minimal Feature Corpus, Orunsolu Abdul Abiodun, Sodiya A.S, Kareem S.O, Oladimeji G. B Mr.

Journal of Digital Forensics, Security and Law

Phishing is currently one of the severest cybersecurity challenges facing the emerging online community. With damages running into millions of dollars in financial and brand losses, the sad tale of phishing activities continues unabated. This led to an arms race between the con artists and online security community which demand a constant investigation to win the cyberwar. In this paper, a new approach to phishing is investigated based on the concept of minimal feature set on some selected remarkable machine learning algorithms. The goal of this is to select and determine the most efficient machine learning methodology without undue high …

Shape Similarity By Deformation Using Polynomial Transformation, Hanan M. Moussa

Archived Theses and Dissertations

No abstract provided.

Machine Learning For Stock Prediction Based On Fundamental Analysis, Yuxuan Huang, Luiz Fernando Capretz, Danny Ho

Electrical and Computer Engineering Publications

Application of machine learning for stock prediction is attracting a lot of attention in recent years. A large amount of research has been conducted in this area and multiple existing results have shown that machine learning methods could be successfully used toward stock predicting using stocks’ historical data. Most of these existing approaches have focused on short term prediction using stocks’ historical price and technical indicators. In this paper, we prepared 22 years’ worth of stock quarterly financial data and investigated three machine learning algorithms: Feed-forward Neural Network (FNN), Random Forest (RF) and Adaptive Neural Fuzzy Inference System (ANFIS) for …

Mechanics Of Ascension Through Genshin Impact, Megan Chao

ART 108: Introduction to Games Studies

Genshin Impact, or Genshin for short, is a free roleplaying, open-world, adventure video game released for Playstation 4, Microsoft Windows, iOS, and Android on September 28th, 2020. Since its initial release, the game has gained considerable recognition for its storytelling ability, in-depth lore, and amazing character and world-building design. They were awarded Apple’s “Game of the Year” in 2020 and have grossed over $100 million from in-app iOS purchases alone.

Difficulty In Video Games, Jason Bechdolt

ART 108: Introduction to Games Studies

Throughout time games have been utilized for a great variety of purposes: relaxing leisure, competitive activity, intellectual exercise, and many other sources of enjoyment. The element of difficulty has existed in various degrees throughout all of those game styles, usually found through the skill of an opponent, but lately many games have been designed to have a digital opponent to provide that difficulty. With access to more information than ever before, people have gotten the chance to witness lives and worlds that they can never physically enjoy, and this has led to a considerable market for games that can provide …

Applying Simulated Annealing As An Intelligent Genetic Mutation Operator For Finding Most Probable Explanations On Bayesian Belief Networks, Sahr Attia Afara

Archived Theses and Dissertations

No abstract provided.

Recurrent Connectionist Models For Map Explanation In Bayesian Networks, Murad Assaggaf

Archived Theses and Dissertations

No abstract provided.

Computational Solutions To Exosomal Microrna Biomarker Detection In Pancreatic Cancer, Thuy T. An

School of Computing: Dissertations, Theses, and Student Research

Pancreatic cancer is the fourth leading cause of cancer death in the United States and the 5-year survival rate is only 5% to 10%. There are only a few non-specific symptoms associated with the early-stage cancer, therefore most patients are diagnosed in a late stage. Due to the lack of effective treatments and the fact that the early stage has a 39% 5-year survival rate, the biggest hope to control this disease is early detection. Therefore, discovery of effective and reliable non-invasive biomarkers for early detection of pancreatic cancer has been a major topic. Very recently, exosomal microRNAs have become …

Messiness: Automating Iot Data Streaming Spatial Analysis, Christopher White, Atilio Barreda Ii

Publications and Research

The spaces we live in go through many transformations over the course of a year, a month, or a day; My room has seen tremendous clutter and pristine order within the span of a few hours. My goal is to discover patterns within my space and formulate an understanding of the changes that occur. This insight will provide actionable direction for maintaining a cleaner environment, as well as provide some information about the optimal times for productivity and energy preservation.

Using a Raspberry Pi, I will set up automated image capture in a room in my home. These images will …

Gr-078 - Ai For Social Good: Assisting The Elderly/Visually Impaired In Reading Prescription Labels, Stacie P. Allen, Jessica Barnes, Lauren Pope, Chennelle Hill

C-Day Computing Showcase

No abstract provided.

Gr-083 - Analysis Of Malware Detection Techniques, Joel Stansbury, Robert White, Keifer Bazan

C-Day Computing Showcase

No abstract provided.

Gr-114 - Decentralized Network Architecture On Git Platform, Jonathan D. Lashgari, Kiran Mai M. Narnavaram, Rohit Gowru

C-Day Computing Showcase

No abstract provided.

Gr-104 - Diabetic Retinopathy Detection Using Deep Neural Networks Without Pre-Processing Techniques, Suman Bharti, Swetha Pailla

C-Day Computing Showcase

No abstract provided.

Gr-121 - Binary Image Processing For Computation Of Connected Components, Image Holes And Euler Number Using Graph Theory, Sravya Sabbu, Prasuna Reddy Salepela, Yamini Hanisha Talluri, Sruthi Vaidyula

C-Day Computing Showcase

No abstract provided.

Gr-129 - Using Machine Learning Techniques For Early Alzheimer’S Disease Detection, Sudarshan Badireddi, Shalaka Kulal, Gayatri Sravanthi Kuntla, Travis Meeks

C-Day Computing Showcase

No abstract provided.

Gr-131 - Privacy Preserved Federated Learning Approach For Diabetic Retinopathy Detection, Mohammad Nasajpour

C-Day Computing Showcase

No abstract provided.

Gr-095 - Using Machine Learning To Detect Alzheimer's Disease, Rhema Razzak, Yang Fu

C-Day Computing Showcase

No abstract provided.

Gr-077 - A Robust Federated Machine Learning Framework For Security Analytics In Solar Farms, Jiaming Li

C-Day Computing Showcase

No abstract provided.

Gr-118 - Sentiment Analysis On Hotel Review, Navya Pallapothu, Aravinda Pandanaboyana, Dilip Kumar

C-Day Computing Showcase

No abstract provided.

Gr-117 - Transfer Learning With Synthetic Data Improves The Performance Of Fashion Apparel Pattern Classification And Neckline Detection, Tong Chen, Luke Cranfill, John Morris

C-Day Computing Showcase

No abstract provided.

Gr-101 - Non-Invasive Glucose Monitoring System Using Raspberry Pi Four, Priyanka Pola

C-Day Computing Showcase

No abstract provided.

Gr-127 - Iot Clusters Platform For Data Collection, Analysis, And Visualization, Soin Abdoul Kassif Baba M Traore

C-Day Computing Showcase

No abstract provided.

Gr-130 - Prediction Of Heart Disease With Machine Learning Techniques, Marcella Araujo, Lauren Pope, Stephen Still, Cynthia Yannone

C-Day Computing Showcase

No abstract provided.

Ur-120 - Analyzing Adversarial Attacks In Machine Learning Models, Niti Mirkhelkar

C-Day Computing Showcase

No abstract provided.

Ur-102 - Auto Grader For Unstructured Open-Ended Questions Using Natural Language Processing And Recommender Systems, Anna Furrow

C-Day Computing Showcase

No abstract provided.

Ur-124 - Breastnet; Ensemble Deep Learning, Cora L. Meador, Ryan Deem

C-Day Computing Showcase

No abstract provided.

Ur-086 - Food Desert: Hungry For Answers, Lawren Cumberbatch

C-Day Computing Showcase

No abstract provided.

Gr-100 - Non-Invasive Monitoring Of Human Hygiene Using Vibration Sensor And Classifiers, Shashank Trivedi, Md Jobair Hossain Faruk

C-Day Computing Showcase

Abstract: Personal hygiene is how people take care of their bodies. Maintaining hygiene practice reduces the spread of illness and the risk of medical conditions. With the current pandemic situation, practices like washing hands and taking regular showers have taken major importance among people, especially for senior populations that live alone at home. Having an understanding of the human hygiene habits of our seniors is fundamental to monitoring health conditions.This research work presents the concept and idea of a noninvasive monitoring system for human hygiene using only vibration sensors. The approach is based on a geophone, a digitizer, and a …

Gr-136 - Students Certification Management (Scm): Hyperledger Fabric-Based Digital Repository, Md Jobair Hossain Faruk

C-Day Computing Showcase

Abstract: The higher education sector has been heavily impacted financially by the economic downturn caused by the pandemic that has resulted a decline in student enrollments. Finding cost-effective novel technology for storing and sharing student's credentials among academic institutions and potential employers is a demand. Within the current conventional approach, ensuring authentication of a candidate’s credentials is costly and time-consuming which gives burdens to thousands of prospective students and potential employees. As a result, candidates fail to secure opportunities for either delay or non-submission of credentials all over the world. Blockchain technology has the potential for students' control over their …

Gc-105 - Visual Evaluation Of Prediction Of Glaucoma Using Machine Learning, Praneeth Kumar Reddy Dendi, Anirudh Kollipara, Maneesha Kumari Penmetsa

C-Day Computing Showcase

No abstract provided.