Toward The Application Of Natural Language Processing In Electronic Health Record Analysis For Taxonomy Development,
2025
Clemson University
Toward The Application Of Natural Language Processing In Electronic Health Record Analysis For Taxonomy Development, Latoya Mcdonald
All Dissertations
Electronic health records (EHRs) are pivotal resources for nurse practice because they increase the timeliness and reliability of patient information at the point of care and support access by multiple healthcare providers and the individual patients themselves. However, it is widely recognized that data extraction from EHRs is challenging due to the variability in the language used in clinical care notes and the lack of standardized terminology across healthcare systems. The broad objective of this dissertation is to develop taxonomy-based classification models for nursing care by applying feature engineering approaches to EHRs that include nursing care of ostomy patients following …
Characterizing Human Mobility Patterns In Saudi Arabia Using Cellular Data,
2025
Florida Institute of Technology
Characterizing Human Mobility Patterns In Saudi Arabia Using Cellular Data, Meshal Alnefaie
Theses and Dissertations
The study analyzes human mobility in Saudi Arabia. Using crowd-source data, Riyadh mobility is analyzed to find trends and highlight mobility patterns of individuals in Riyadh. Then, the mobility of Riyadh is compared with that of Jeddah and Dammam in a similar data collection and analysis. Four mobility metrics are utilized: Number of Visited Locations (NLOC), Number of Unique Locations (NULOC), Radius of Gyration (RGYR), and Distance Traveled (DTRV). The results show interesting outcomes about individuals in the three cities. Although these cities are far from each other, they observe the same mobility patterns. These findings have the potential to …
Using Rf Hardware Technologies To Counteract Interference Within Dsrc Caused By Adjacent Unlicensed Bands,
2025
Kennesaw State University
Using Rf Hardware Technologies To Counteract Interference Within Dsrc Caused By Adjacent Unlicensed Bands, Grayson Hatcher, Billy Kihei, Nathan Kirkwood, Marco Tello
Symposium of Student Scholars
In recent years, competition within Radio Frequency (RF) communication bands has led to an overlap between the U-NII-4 band used by low-cost consumer devices, and the Dedicated Short Communication Band (DSRC) used by the Georgia Department of Transportation. Past research con- firmed that this interference leads to drastic reduction in Packet Reception Rate (PRR) for Roadside Units (RSUs) and On- Board Units (OBUs) throughout the country, resulting in a reduction of stability between different components of the Intelligent Transportation System (ITS). Our research team set a goal to prove that a low-cost and simple modification can be made to RSUs …
Improving Image Quality In Electrical Capacitance Tomography Using Otsu Thresholding,
2025
Department of Electronics and Telecommunications Engineering, College of Information and Communication Technologies, University of Dar es Salaam, Tanzania
Improving Image Quality In Electrical Capacitance Tomography Using Otsu Thresholding, Josiah Nombo
Tanzania Journal of Engineering and Technology (TJET)
Electrical Capacitance Tomography (ECT) is an imaging technique used in industrial process monitoring, particularly for monitoring and measuring the composition of multiphase flows. Despite its widespread application, the commonly used Linear Back Projection (LBP) algorithm often produces low-quality images due to its limited ability to handle high permittivity contrasts and nonlinearities. This study investigates the use of Otsu thresholding as a post-processing technique to enhance ECT image quality. By maximizing inter-class variance in the image histogram, Otsu thresholding improves contrast, clarity, and structural definition, enabling more effective segmentation of oil and gas components in multiphase flows. The proposed Otsu-based reconstruction …
Development Of A Microcontroller-Based Intelligent Traffic Light Control System For Vehicular Movement In T-Junctions,
2025
Department of Electrical/Electronic Engineering, Federal Polytechnic Offa, Kwara State, Nigeria
Development Of A Microcontroller-Based Intelligent Traffic Light Control System For Vehicular Movement In T-Junctions, Frederick O. Ehiagwina
Tanzania Journal of Engineering and Technology (TJET)
This research is devoted to the issue of regulating traffic congestion in major cities using light-dependent resistors coupled with the PIC16F877A microcontroller. This study proposes an intelligent traffic control system for T-Junctions, utilizing sensing and control to optimize traffic flow through dynamic phase adjustments and congestion reduction, enabled by a microcontroller-based decision-making system. The proposed system reduces traffic congestion, automates control, and enhances safety, minimizing accidents and lowering infrastructure costs. Under simulated environment, it demonstrates an average response time of 50 ms and achieves 99% accuracy in displaying the correct countdown. Finally, the number of state transitions handled per minute …
An Empirical Evaluation Of Communication Technologies And Quality Of Delivery Measurement In Networked Microgrids,
2025
Technological University Dublin
An Empirical Evaluation Of Communication Technologies And Quality Of Delivery Measurement In Networked Microgrids, Ruairí De Fréin, Yasin Emir Kutlu
Articles
Networked microgrids (NMG) are gaining popularity as an example of smartgrids (SG), where power networks are integrated with communication technologies. Communication technologies enable NMGs to be monitored and controlled via communication networks. However, ensuring that communication networks in NMGs satisfy quality of delivery (QoD) metrics such as the round trip time (RTT) of NMG control data is necessary. This paper addresses the communication network types and communication technologies used in NMGs. We present various NMG deployments to demonstrate real-life applicability in different contexts. We develop a real-time NMG testbed using real hardware such as Cisco 4331 Integrated Services Routers (ISR). …
Graphtreemed: A Hybrid Graph-Tree Rag Architecture For Mission-Critical Medical Applications,
2025
Indian Institute of Technology Kanpur
Graphtreemed: A Hybrid Graph-Tree Rag Architecture For Mission-Critical Medical Applications, Joshit Mohanty, Sandeep Kumar Nayak, Sumit Lahiri
Graduate Student Government Association Research Conference
Studies within engineering management indicate that decision-making is often based on the cognitive processing of grouped and pictographic information clusters entangled with high-level pattern recognition. Similarly, graph-based retrieval-augmented generation (RAG) architectures substantially improve diagnostic accuracy and interpretability, while tree-structured systems reduce critical misses through hierarchical reasoning. However, existing solutions often lack a unified framework that seamlessly integrates these two paradigms to address the multifaceted demands of mission-critical healthcare settings. This proposal introduces GraphTreeMed, a novel hybrid RAG architecture designed to harness the complementary strengths of graph-based and tree-based retrieval mechanisms, thereby advancing the safety and efficacy of clinical decision support …
Securing Biometric Data,
2025
Christopher Newport University
Securing Biometric Data, Alyssa F. Carroll
Cybersecurity Undergraduate Research Showcase
Biometric data has been widely adopted across various sectors, including digital identity, artificial intelligence (AI), border control, digital wallets, and national identification systems. While biometric identifiers—such as fingerprints, retina scans, and facial recognition—offer reliable and convenient authentication, they also raise significant concerns regarding privacy and security. This paper examines how biometric data is stored, the vulnerabilities it faces, and the most effective methods for safeguarding it. By highlighting the critical importance of biometric data protection, this study reviews current research on approaches, strategies, and policies that enhance security while preserving the functionality and efficiency of biometric systems.
From Adversarial Attacks To Robust Classifiers - A Study In Social Media Spam Detection - Black Box & White Box,
2025
Bellarmine University
From Adversarial Attacks To Robust Classifiers - A Study In Social Media Spam Detection - Black Box & White Box, Jonathan Jose Penaloza Rumie
Undergraduate Theses
Adversarial attacks pose a significant threat to the reliability of machine learning-based spam detection systems in social media. This undergraduate thesis, "From Adversarial Attacks to Robust Classifiers: A Study in Social Media Spam Detection – Black Box & White Box," systematically examines the impact of both black-box and white-box adversarial attacks on a range of spam classifiers, including Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Bagging, Gradient Boosting, and Support Vector Machines. Leveraging a novel dataset derived from Twitter spam messages and enhanced with adversarial perturbations such as synonym replacement and character-level modifications, this study evaluates classifier performance under …
Trajectory Optimization For Uav-Assisted Energy Harvesting For Internet-Of-Things,
2025
Faculty of Engineering, Tanta University
Trajectory Optimization For Uav-Assisted Energy Harvesting For Internet-Of-Things, Gehad I. Mohammed, Mahmoud M. Selim, Mahmoud A. Attia
Journal of Engineering Research
Unmanned aerial vehicles (UAVs) have gained significant attention for their versatile applications due to their low cost, high mobility, and on-demand deployment capabilities. UAV-assisted wireless communication is a promising technology for future systems; it offers connectivity without the need for terrestrial infrastructure. Similarly, the Internet of Things (IoT) has emerged as a revolutionary technology, connecting smart devices and enabling seamless data exchange. However, IoT networks face significant challenges in environments with weak or unstable infrastructure. This paper investigates UAV-aided energy harvesting (EH) and data collection in an IoT scenario, where a UAV bridges communication between an IOT device that acts …
Free Space Optical Communications: Challenges, Mitigation Techniques, Classification Framework, And Standardization,
2025
Military Technical College, Egypt
Free Space Optical Communications: Challenges, Mitigation Techniques, Classification Framework, And Standardization, Moataz Mohamed Roshdy, Ahmed Hosny Elghandour, Kamel Mohamed Hassan
Future Engineering Journal
Over the past several years, there has been a renewed interest in Free Space Optical (FSO) communication technology, commonly referred to as Optical Wireless Communications (OWC). FSO is sometimes viewed as a substitute for current technology, such radio frequency. In other situations, FSO is viewed as a potent contender to work in tandem and complement next-generation technology, such 5G wireless networks. FSO technology is therefore widely used in a variety of indoor (such as data centers), terrestrial (such as mobile networks), space (such as intersatellite and deep space communication), and underwater systems (such as underwater sensing). Nevertheless, despite the enormous …
Greening The Workplace: Can Sustainable Practices Reduce Anxiety And Enhance Meaningful Work Engagement?,
2025
Christ (Deemed to be University) Delhi NCR
Greening The Workplace: Can Sustainable Practices Reduce Anxiety And Enhance Meaningful Work Engagement?, Cyril Tom T. Sunny, Peter Muttungal, Benny G. Davidson
Northeast Journal of Complex Systems (NEJCS)
This academic research examines the relationship between job engagement, green work climate, job-related anxiety, meaningfulness at work within the organization. It draws attention to identify the significant relations among all these factors and highlights the role of a green work climate in promoting meaningful work and alleviating job-related anxiety. The research emphasizes a diverse sample of employees from various organisations using structural modelling to find the mediating roles of job engagement and work meaningfulness in the correlation between organizational practices, environmental sustainability, and employee satisfaction. The study finds that a green work climate significantly enhances meaningful work experiences and reduces …
Impact Of Node Failures On Productivity In Multilayer Supply Chain Networks: An Influence Network Analysis In The Indian Electronics Sector,
2025
Binghamton University
Impact Of Node Failures On Productivity In Multilayer Supply Chain Networks: An Influence Network Analysis In The Indian Electronics Sector, Surendra Orupalli, Hiroki Sayama
Northeast Journal of Complex Systems (NEJCS)
Supply chain networks are essential for the delivery of goods and information, but disruptions such as natural disasters or trade embargoes can severely impact them. Resilience of entire networks under different types of disruptions when nodes or edges fail has been extensively studied. However, the extent to which the failure of a particular company affects another company of interest within a network has not been widely explored. To address this, we created a multilayer physical supply chain network of companies in an electronics supply chain concentrated in India. Through systematic node removal simulations, we examined how the productivity of one …
A Novel Preprocessing Model For Multi Modal Brain Mri Image Classification For Stroke Prognosis,
2025
CHRIST University, India
A Novel Preprocessing Model For Multi Modal Brain Mri Image Classification For Stroke Prognosis, Alwin Joseph, Chandra J
Northeast Journal of Complex Systems (NEJCS)
Magnetic Resonance Imaging (MRI) is an imaging technique used for the diagnosis and observing the progression in various neurological disorders. Stroke is one of the prominent neurological disorders that creates significant impacts in the patients. It occurs when the blood supply to part of the brain is interrupted or reduced, preventing brain tissues from getting oxygen and nutrients. Multimodal data from various modalities help clinicians in proper prognosis of stroke. Ischemic Stroke Lesion Segmentation Challenge (ISLES22) provides data of stroke data for various stroke patients, the dataset consists of three modalities of data – Fluid Attenuated Inversion Recovery (FLAIR), Apparent …
Leveraging Network Science For Customer Segmentation And Product Recommendation,
2025
Binghamton University
Leveraging Network Science For Customer Segmentation And Product Recommendation, Ali Nasirzonouzi
Northeast Journal of Complex Systems (NEJCS)
The rapid growth in e-commerce has forced the development and implementation of enhanced customer segmentation and recommendation systems, improving business results and improving customer experience. Traditional approaches, such as RFM analysis and clustering algorithms like K-means, are very helpful in many situations but usually fail to catch complex interdependencies among customers and products. This paper proposes a new approach using network science methodologies, a bipartite graph model, toward the advancement of customer segmentation and product recommendation. It implements a bipartite graph of customers and products using the "Online Retail II" dataset and proceeds with community detection, segmenting customers into unique …
Dunbar’S Number In Motion: Agent-Based Simulations Of Friendship Formation,
2025
Binghamton University
Dunbar’S Number In Motion: Agent-Based Simulations Of Friendship Formation, Christopher R. Cooke, Cameron D. Lutz
Northeast Journal of Complex Systems (NEJCS)
By contrasting Lévy flight and random walk strategies in simulated agents, we discern the effect of movement behavior on the total duration of social interactions. Our agent-based simulation results approximate empirically observed Dunbar social circle formation using simple behavioral rules of interaction and compatibility to mimic exogenous attribute-based friendship formation. We simulate the complexities of social interactions among agents with unique attributes and a time budget for social engagement over a one-year period. Two distinct simulations were conducted to evaluate the behavioral contributions of Lévy flight and random walk movement patterns on cumulative interaction duration and the formation of Dunbar …
Indoor Localization With Ensemble Machine Learning Via Visible Light Communication Channels,
2025
Mechatronics Engineering Department, High Institute of Engineering and Technology (HIET), ElMahala Elkobra, Egypt
Indoor Localization With Ensemble Machine Learning Via Visible Light Communication Channels, Alzahraa M. Ghonim, Wessam M. Salama
Journal of Engineering Research
An indoor localization system based on received signal strength, visible light communication (VLC) and several machine learning approaches is proposed in this paper. Our proposed framework is divided into two strategies. The first one is consisting of gathering our dataset based on MATLAB software to create indoor VLC channel model. While the second phase is depending on training the gained dataset using ensemble machine learning models. Specifically, random forest, decision tree and gradient boosting models. In order to evaluate the robustness of the proposed framework, several evaluation metrics are applied, specifically, training time, testing time, classification accuracy (CA), area under …
Performance Evaluation Of Free Space Optical Communication In Dar Es Salaam: Impact Of Scintillation And Modulation Schemes,
2025
Department of Computer Science and Engineering, The University of Dodoma, Dodoma, Tanzania
Performance Evaluation Of Free Space Optical Communication In Dar Es Salaam: Impact Of Scintillation And Modulation Schemes, Mustafa H. Mohsini
Tanzania Journal of Engineering and Technology (TJET)
Free space optical communication (FSO) holds significant relevance in the modern communication system as it offers high and unlimited data rates, enhanced security, rapid deployment, and low cost for installation. However, the performance of FSO transmission is greatly affected by harsh atmospheric conditions such as wind, temperature, and humidity, which induce scintillation. With the rapid growth of internet users and Dar es Salaam being a business city in Tanzania, higher and unlimited bandwidth for communication is highly demanded. This study primarily aims to evaluate the performance of FSO transmission in Dar es Salaam, Tanzania, by investigating the impact of atmospheric …
Improved Minimum Variance Channel Estimation Techniques For Ofdm Systems,
2025
College of Information and Communication Technologies, University of Dar es Salaam P. O. Box 33335, Dar es Salaam, Tanzania
Improved Minimum Variance Channel Estimation Techniques For Ofdm Systems, Kwame S. Ibwe
Tanzania Journal of Engineering and Technology (TJET)
Orthogonal frequency division multiplexing (OFDM) systems face challenges in channel estimation due to noise, variability, and the doubly dispersive nature of wireless channels, which degrade performance. To address these challenges, a multichannel minimum variance double dispersive channel estimator is proposed. The method employs a hybrid approach that combines subspace and minimum variance techniques, optimizing the filter bank output power under a signal-to-noise ratio (SNR) constraint. This design preserves the desired signal while effectively suppressing disturbances, achieving robust performance with reduced computational complexity compared to existing methods. Simulation results demonstrate that the proposed estimator outperforms subspace and asymptotic methods in terms …
Design And Implementation Of Secured Hybrid Gateway Node For Securing Iot - Enabled Distribution Automation,
2025
Department of Computer Science and Engineering, University of Dar es Salaam, Dar es Salaam, Tanzania
Design And Implementation Of Secured Hybrid Gateway Node For Securing Iot - Enabled Distribution Automation, Ally Bitebo
Tanzania Journal of Engineering and Technology (TJET)
The integration of smart grid and Internet of Things (IoT) technologies plays a crucial role in enhancing the quality of services provided by traditional electrical grids. This combination has enabled the introduction of new services, such as demand response, automatic meter reading, and IoT-enabled Distribution Automation (IoT-DA), which incorporates sensors, actuators, intelligent electrical devices (IEDs), and information and communication technologies to monitor and control the grid. However, this integration also introduces network security risks, including Denial of Service (DoS) attacks, false data injection, and masquerading attacks, such as system node impersonation that can transmit incorrect readings, trigger false alarms, and …
