• Employing UAF Inter-Domain Traceability for Performance and Effectiveness Evaluation 

  Alghamdi, Ahmad; Torkjazi, Mohammadreza; Davila-Andino, Arturo J.; Zaidi, Abbas K. (2023-03-25)

  We propose a step-by-step Model-Based Systems Engineering (MBSE) process for the creation and simulation of an executable Unified Architecture Framework (UAF) model for evaluation purposes. The roll-up of Technical Performance ...
• Creating a Digital Twin of an Insider Threat Detection Enterprise Using Model-Based Systems Engineering 

  Lee, James; Alghamdi, Ahmad; Zaidi, Abbas K. (2022 IEEE International Systems Conference (SysCon), 2022-04)

  Inference Enterprise Modeling (IEM) is a methodology developed to address test and evaluation limitations that insider threat detection enterprises face due to a lack of ground truth and/or missing data. IEM uses a collection ...
• Creating a Digital Twin of an Insider Threat Detection Enterprise using Model Based Systems Engineering 

  Lee, James; Alghamdi, Ahmad; Zaidi, Abbas (AI4SE and SE4AI Workshop, 2021-10-20)
• UAF Strategic Planning for Enterprises 

  Torkjazi, Mohammadreza; Davila-Andino, Arturo J.; Alghamdi, Ahmad; Zaidi, Abbas K. (IEEE, 2022-11-24)

  In this paper, we propose an extension to the Unified Architecture Framework (UAF) Profile to leverage the potential of the widely used SWOT analysis in modeling the UAF strategic viewpoint of an enterprise or System of ...
• Evaluating the Plausibility of using Brain-to-Brain Communication to Create Neuromuscular Connection for Prosthetic Usage 

  Asuagbor, Alesazem (2022)

  When prosthetics are developed, they are created for traumatic amputees to restore quality of life so they can live as they did before their limb loss. However, for an individual with congenital amputation — an underdeveloped ...
• EEG-based Emotion Recognition with Music: A Model and Application 

  Scavotto, Zakariyya (2022-11)

  With the growth of music streaming, both for pleasure and other applications, such as music therapy, being able to understand how music makes someone feel has increased in importance. The goal of this study was twofold: ...
• Fingers Touch Detection 

  Matthews, Justin (2022-08)

  Object detection is a form of machine learning that utilizes computer vision and deep learning techniques. It can be used to identify targeted objects in images and videos with precise accuracy. For detecting hand gestures, ...
• Data Analysis for Fraud Detection in Finance 

  Almutairi, Raghad; Godavarthi, Abhishek; Reddy Kotha, Arthi (2022-06-04)

  Credit card use is not always the best way to use for payments, but the most demonstrable payment mode is through the credit card for both offline as well as for online payments, which can result in deficit of funds. As ...
• Machine Learning Application in Health 

  Alshabana, Ghadah; Tran, Thao; Chitimalla, Ashritha; Thompson, Michael (2022-06-10)

  Coronavirus can be transmitted through the air by close proximity to infected persons. Commercial aircraft are a likely way to both transmit the virus among passengers and move the virus between locations. The importance ...
• ML models for Customer Relationship Analysis in Finance 

  Jia, Nan; Bagam, Lahari; Fabijanczyk, Patricia (2022-06-08)

  The purpose of this research project was to analyze customer complaint data from financial institutions and identify areas of opportunity for these institutions to improve their customer satisfaction rate. In addition ...
• Using Machine Learning Algorithms to Improve Road Safety 

  Kotikalapudi, Lakshmi Praneetha; Chao, Yen Ling; Reddy, Sri Siddhartha (2022-06-08)

  Transportation facilities are becoming more developed as society develops, and people's travel demand is increasing, but so are the traffic safety issues that arise as a result. And car accidents are a major issue all over ...
• Data Analysis to Analyze Mental Health in Global Pandemic 

  Antonova, Helen; Liao, Spencer; Chandra Sai Pamidimukkala, Eswara (2022-06-08)

  According to the 2021 Report from the World Health Organization (WHO), more than 700,000 people have taken their life. Suicide can be prevented but so far most of the efforts to do so have fallen short. However, the use ...
• Neurological Manifestation of COVID-19: An Updated Literature Review 

  Eltayeb, Sohaib; Peixoto, Nathalia (2022-05)

  SARS-CoV-2, which causes the disease known as Coronavirus Disease 2019 (COVID-19), is a novel coronavirus that arose in Wuhan, China in 2019. Within a short time, it rapidly spread across the world and has been declared ...
• EEG- EMG-Based Interface For Upper Limb Exoskeleton – A Review 

  De Marzi, Laura; Peixoto, Nathalia (2022-05)

  The second most common cause of death in the world is cerebrovascular accident or stroke, and rehabilitation plays an important role to help the survivors of such accidents. Rehabilitation exercises are essential to ...
• Combinatorial Trends of Tissue Engineering for Peripheral Nerve Regeneration 

  Dando, Emma (2022-05)

  Peripheral nerve damage is frequently seen due to injury or illnesses, like diabetes. Despite its prevalence and the fact that many patients with less serious injuries have good clinical outcomes, many patients do not ...
• Predicting Finger Movement Using an Ensemble Machine Learning Approach 

  Handjinicolaou, Peter (2022-05)

  Debilitating brain trauma caused by injury or stroke, and other neurological disorders, can hinder a person’s ability to use their hands. Brain-Computer Interfaces (BCIs) are a subject of great interest regarding augmenting ...
• Early Detection of Epilepsy Seizures using Machine Learning Algorithms 

  Rios, Cristian (Chris) (2022-05)

  According to the World Health Organization (WHO), one of the most common neurological diseases is epilepsy with over 50 million people globally diagnosed to date. Epilepsy is defined as a chronic noncommunicable disease ...
• Effect of Psychedelic (LSD and Psilocybin) Use in Treating Mental Disorders like Major Depressive Disorder (MDD) 

  Kahn, Zehra (2022-05)

  Major Depressive Disorder (MDD) is a widespread problem throughout the United States with no shortage of treatments. Psilocybin, a serotonin agonist, is treatment for MDD that showed great potential but wasn’t explored ...
• A Study of Epileptic Seizure Detection using Machine Learning Algorithms 

  Kamaraju, Rajeev; Peixoto, Nathalia (2022-05)

  This paper focuses on studying epileptic seizure detection using machine learning algorithms. Algorithms like Naïve Bayes, Logistic Regression, Stochastic Gradient Descent, KNearest Neighbour, Decision trees and random ...
• EEG Analysis to detect Attention 

  Nesseem, Caren (2022-05)

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