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2021 May University Of Memphis Commencement Program

Commencements

Program for the Spring convocation of the 109th commencement of the University of Memphis at Memphis, Tennessee, held at the Liberty Bowl Memorial Stadium on May 8, 2021.

2021 December University Of Memphis Commencement Program

Commencements

Program for the Fall convocation of the 110th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on December 12, 2021.

2021 August University Of Memphis Commencement Program

Commencements

Program for the Summer convocation of the 109th commencement of the University of Memphis at Memphis, Tennessee, held at the Liberty Bowl Memorial Stadium on August 7, 2021.

1994 August University Of Memphis Commencement Program

Commencements

Program for the Summer convocation of the 82nd commencement of the University of Memphis at Memphis, Tennessee, held at the Pyramid on August 14, 1994.

1993 December Memphis State University Commencement Program

Commencements

Program for the Winter convocation of the 82nd commencement of the Memphis State University at Memphis, Tennessee, held at the Pyramid on December 18, 1993.

2022 May University Of Memphis Commencement Program

Commencements

Program for the Spring convocation of the 110th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on May 7, 2022.

2022 December University Of Memphis Commencement Program

Commencements

Program for the Fall convocation of the 111th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on December 11, 2022.

2022 August University Of Memphis Commencement Program

Commencements

Program for the Summer convocation of the 110th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on August 6, 2022.

2023 May University Of Memphis Commencement Program

Commencements

Program for the Spring convocation of the 111th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on May 6, 2023.

2023 August University Of Memphis Commencement Program

Commencements

Program for the Summer convocation of the 111th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on August 5, 2023.

2023 December University Of Memphis Commencement Program

Commencements

Program for the Fall convocation of the 112th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on December 17, 2023.

2024 May University Of Memphis Commencement Program

Commencements

Program for the Spring convocation of the 112th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on May 4, 2024.

2024 August University Of Memphis Commencement Program

Commencements

Program from the Summer convocation of the 113th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on August 3, 2024.

2025 May University Of Memphis Commencement Program

Commencements

Program for the Spring convocation of the 113th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on May 10, 2025.

2026 May University Of Memphis Commencement Program

Commencements

Program for the Spring convocation of the 114th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on May 9, 2026.

2025 December University Of Memphis Commencement Program

Commencements

Program for the Fall convocation of the 114th commencement of the University of Memphis at Memphis, Tennessee, held at the FedEx Forum on December 13, 2025.

Historical Howard University Periodicals, Sonja Woods

University Archives

No abstract provided.

Structural And Technological Complex Of Methods For Processing Satellite Images, Rasul Zairovich Shamsiev, Zair Ziyaevich Shamsiev

International Journal of Aviation, Aeronautics, and Aerospace

Decoding satellite images involves hundreds of automated methods. These methods are included in the modules of many well-known software tools for processing satellite images. To solve specific problems of identifying individual natural or man-made objects, there is a problem of choosing a method and means of data processing. The choice of methods depends on the scope of their application, different data are selected, for example, high-and low-resolution images, corresponding cartographic or other types of data.

To solve this problem, a structural and technological complex processing method is proposed. Since the initial processing of images is followed by thematic processing by …

Methodology For Convergence Of The Training Program With The Professional Activities Of Aviation Specialists, Zair Ziyaevich Shamsiev

International Journal of Aviation, Aeronautics, and Aerospace

The method of developing curricula for training aviation specialists for civil aviation of the Republic of Uzbekistan is analyzed. It is substantiated that it does not sufficiently take into account the labor market requirements for the composition and content of academic disciplines. An overview of foreign experience in bridging the gap between educational programs and the workplace is given. A method based on a statistical analysis of civil aviation regulations is recommended.

Co2 Reduction Measures In The Aviation Industry: Current Measures And Outlook, Florian Mathys, P. Wild, J. Wang

International Journal of Aviation, Aeronautics, and Aerospace

This article gives a holistic overview of the current CO₂ reduction measures and analyses the effectiveness of measures that are feasible for implementation in the future. To achieve the objectives of the Paris Agreement, the aviation industry needs to implement reduction measures because of its forecasted growth and contribution to global warming. The focus is set on CO₂ reduction measures, categorized in technology, operations, infrastructure/air traffic management (ATM), and market-based measures. The most promising long-term technologies to reduce CO₂ emissions are hydrogen-powered aircrafts and sustainable aviation fuels (SAF). In terms of operations, CO₂ emissions can be …

Comparative Study On The Prediction Of Aerodynamic Characteristics Of Mini - Unmanned Aerial Vehicle With Turbulence Models, Somashekar V, Immanuel Selwyn Raj A

International Journal of Aviation, Aeronautics, and Aerospace

When dealing with CFD simulations the turbulent nature is seen on most of the engineering flows and these flows need to be solved. Reliable and applicable CFD outputs can be obtained from the accurate modelling of the turbulence as it is one of the most vital elements of CFD modelling. The RANS equations are extensively employed to analyse the complex flows over aircraft and for this purpose, a turbulence model is needed for turbulent flow analyses. Compatible turbulence must be chosen for the exact predictions of aircraft aerodynamic characteristics. In this report, numerical analyses of Mini-UAV are done to compare …

Confidential Machine Learning On Untrusted Platforms: A Survey, Sharma Sagar, Keke Chen

Clinical Lab Sciences Faculty Research and Publications

With the ever-growing data and the need for developing powerful machine learning models, data owners increasingly depend on various untrusted platforms (e.g., public clouds, edges, and machine learning service providers) for scalable processing or collaborative learning. Thus, sensitive data and models are in danger of unauthorized access, misuse, and privacy compromises. A relatively new body of research confidentially trains machine learning models on protected data to address these concerns. In this survey, we summarize notable studies in this emerging area of research. With a unified framework, we highlight the critical challenges and innovations in outsourcing machine learning confidentially. We focus …

A Hybrid Neural Network For Stock Price Direction Forecasting, Daniel Devine

Dissertations

The volatility of stock markets makes them notoriously difficult to predict and is the reason that many investors sell out at the wrong time. Contrary to the efficient market hypothesis (EMH) and the random walk theory, contribution to the study of machine learning models for stock price forecasting has shown evidence of stock markets predictability with varying degrees of success. Contemporary approaches have sought to use a hybrid of convolutional neural network (CNN) for its feature extraction capabilities and long short-term memory (LSTM) neural network for its time series prediction. This comparative study aims to determine the predictability of stock …

Identifying Significant Features For Player Evaluation In Nfl Comparing Anns And Traditional Models, Ronan Walsh

Dissertations

The evaluation of player performance in sports is popular and important in modern sports, enabling teams to use real data in the construction of their rosters. This dissertation proposes to apply machine learning algorithms to predicting the player evaluations from a leading NFL analytics company who use a combination of statistics and expert evaluation. In addition, it will investigate what features are significant in the evaluation of a position. Data for the dissertation is obtained from multiple online sources - Pro Football Reference and Pro Football Focus (the the NFL analytics company). These data sets are combined and analysed before …

Identifying Roles Of Software Developers From Their Answers On Stack Overflow, Dean Power

Dissertations

Stack Overflow is the world’s largest community of software developers. Users ask and answer questions on various tagged topics of software development. The set of questions a site user answers is representative of their knowledge base, or “wheelhouse”. It is proposed that clustering users by their wheelhouse yields communities of similar software developers by skill-set. These communities represent the different roles within software development and could be used as the basis to define roles at any point in time in an ever-evolving landscape of software development. A network graph of site users, linked if they answered questions on the same …

Can Generative Adversarial Networks Help Us Fight Financial Fraud?, Sean Mciver

Dissertations

Transactional fraud datasets exhibit extreme class imbalance. Learners cannot make accurate generalizations without sufficient data. Researchers can account for imbalance at the data level, algorithmic level or both. This paper focuses on techniques at the data level. We evaluate the evidence of the optimal technique and potential enhancements. Global fraud losses totalled more than 80 % of the UK’s GDP in 2019. The improvement of preprocessing is inherently valuable in fighting these losses. Synthetic minority oversampling technique (SMOTE) and extensions of SMOTE are currently the most common preprocessing strategies. SMOTE oversamples the minority classes by randomly generating a point between …

Performance Comparison Between A Distributed Particle Swarm Algorithm And A Centralised Algorithm, Ciarán O’Loughlin

Dissertations

Particle Swarm optimisation (PSO) is a particular form of swarm intelligence, which itself is an innovative intelligent paradigm for solving optimization problems. PSO is generally used to find a global optimum in a single optimisation function. This typically occurs on one node(machine) but there has been a significant body of research into creating distributed implementations of the PSO algorithm. Such research has often focused on the creation and performance of the distributed implementation in an isolated manner or compared to different distributed algorithms.

This research piece aims to bridge a gap in the existing literature, by testing a distributed implementation …

Efficientnet-Lite And Hybrid Cnn-Knn Implementation For Facial Expression Recognition On Raspberry Pi, Mohd Nadhir Ab Wahab, Anthony Tan Zhen Ren, Amril Nazir, Mohd Halim Mohd Noor, Muhammad Firdaus Akbar, Ahmad Sufril Azlan Mohamed

All Works

Facial expression recognition (FER) is the task of determining a person’s current emotion. It plays an important role in healthcare, marketing, and counselling. With the advancement in deep learning algorithms like Convolutional Neural Network (CNN), the system’s accuracy is improving. A hybrid CNN and k-Nearest Neighbour (KNN) model can improve FER’s accuracy. This paper presents a hybrid CNN-KNN model for FER on the Raspberry Pi 4, where we use CNN for feature extraction. Subsequently, the KNN performs expression recognition. We use the transfer learning technique to build our system with an EfficientNet-Lite model. The hybrid model we propose replaces the …

Tracking School-To-Work Transition Among The Youth In The Philippines, Futoshi Yamauchi, Marites Tiongco

DLSU Business & Economics Review

This paper examines wage variations and turnovers using a unique tracking survey data of Filipino youth who were initially sampled at Grade 6. The analysis also uses mathematics and English test scores at Grade 6 to proxy for cognitive abilities. The empirical results show that returns to education and ability increase with labor market experience and occupational upgrading. The study highlights the importance of academic achievements, measured by both years of schooling completed and academic test scores, in upgrading occupations of youth to realize higher returns in the labor market, even though many youths often start with irregular and undesirable …

A Mathematical Analysis Of The Wind Triangle Problem And An Inquiry Of True Airspeed Calculations In Supersonic Flight, Leonard T. Huang, Lisa I. Cummings

International Journal of Aviation, Aeronautics, and Aerospace

In the first half of this paper, we present a fresh perspective toward the Wind Triangle Problem in aerial navigation by deriving necessary and sufficient conditions, which we call "go/no-go conditions", for the existence/non-existence of a solution of the problem. Although our derivation is based on simple trigonometry and basic properties of quadratic functions, it is mathematically rigorous. We also offer examples to demonstrate how easy it is to check these conditions graphically. In the second half of this paper, we use function theory to re-examine another problem in aerial navigation, namely, that of computing true airspeed — even in …