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2022

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The Role Of Generative Adversarial Networks In Bioimage Analysis And Computational Diagnostics., Ahmed Naglah Dec 2022

The Role Of Generative Adversarial Networks In Bioimage Analysis And Computational Diagnostics., Ahmed Naglah

Electronic Theses and Dissertations

Computational technologies can contribute to the modeling and simulation of the biological environments and activities towards achieving better interpretations, analysis, and understanding. With the emergence of digital pathology, we can observe an increasing demand for more innovative, effective, and efficient computational models. Under the umbrella of artificial intelligence, deep learning mimics the brain’s way in learn complex relationships through data and experiences. In the field of bioimage analysis, models usually comprise discriminative approaches such as classification and segmentation tasks. In this thesis, we study how we can use generative AI models to improve bioimage analysis tasks using Generative Adversarial Networks …


Models And Algorithms For Trauma Network Design., Sagarkumar Dhirubhai Hirpara Dec 2022

Models And Algorithms For Trauma Network Design., Sagarkumar Dhirubhai Hirpara

Electronic Theses and Dissertations

Trauma continues to be the leading cause of death and disability in the US for people aged 44 and under, making it a major public health problem. The geographical maldistribution of Trauma Centers (TCs), and the resulting higher access time to the nearest TC, has been shown to impact trauma patient safety and increase disability or mortality. State governments often design a trauma network to provide prompt and definitive care to their citizens. However, this process is mainly manual and experience-based and often leads to a suboptimal network in terms of patient safety and resource utilization. This dissertation fills important …


A Welfare Comparison Of Historical Cost And Fair Value Accounting Regimes, Palmer Edholm Dec 2022

A Welfare Comparison Of Historical Cost And Fair Value Accounting Regimes, Palmer Edholm

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

With ongoing controversy concerning fair value and historical cost accounting, existing accounting theory is focused on intra-firm decision making and is thus deficient in addressing the issue of maximizing social welfare. I propose models of historical cost and fair value accounting regimes which are embedded in models of monopoly and oligopoly. This allows for social welfare implications. I find that historical cost results in greater expected profits for both monopolists and oligopolists. However, if the market is elastic enough, a fair value regimes is welfare enhancing. Whereas, if the market is inelastic enough, historical cost is welfare enhancing.


Smartphone As An Edge For Context-Aware Real-Time Processing For Personal E-Health, Muhammad Bangash Dec 2022

Smartphone As An Edge For Context-Aware Real-Time Processing For Personal E-Health, Muhammad Bangash

University Honors Program Senior Projects

The medical domain is facing an ongoing challenge of how patients can share their health information and timeline with healthcare providers. This involves secure sharing, diverse data types, and formats reported by healthcare-related devices. A multilayer framework can address these challenges in the context of the Internet of Medical Things (IoMT). This framework utilizes smartphone sensors, external services, and medical devices that measure vital signs and communicate such real-time data with smartphones. The smartphone serves as an “edge device” to visualize, analyze, store, and report context- aware data to the cloud layer. Focusing on medical device connectivity, mobile security, data …


The Student Movement Volume 107 Issue 10: Finals Week Is About To Get Messi, Gloria Oh, Nora Martin, Amelia Stefanescu, Solana Campbell, Abraham Bravo, Ceiry Flores, Hannah Cruse, Andrew Francis, Bella Hamann, Gabriela Francisco, Valerie Akinyi, Ruben Colón, Charisse Lapuebla, Alannah Tjhatra Dec 2022

The Student Movement Volume 107 Issue 10: Finals Week Is About To Get Messi, Gloria Oh, Nora Martin, Amelia Stefanescu, Solana Campbell, Abraham Bravo, Ceiry Flores, Hannah Cruse, Andrew Francis, Bella Hamann, Gabriela Francisco, Valerie Akinyi, Ruben Colón, Charisse Lapuebla, Alannah Tjhatra

The Student Movement v. 107 (2022-2023)

HUMANS

Introducing Active Minds Club, Gloria Oh

Women in STEM: Bia Martins, Interviewed by: Nora Martin

Women in STEM: Davielle Smith, Interviewed by: Gloria Oh

ARTS & ENTERTAINMENT

Art Majors at AU: Graphic Design, Amelia Stefanescu

Currently..., Solana Campbell

Immersed in a Musical Wonderland, Abraham Bravo

What did AU Watch over Break?. Ceiry Flores

NEWS

Act 22 and Statehood: What is the Answer to Puerto Rico's problems?, Hannah Cruse

AU Abroad "Shark Tank" Winners Prepare for Spring Start, Andrew Francis

Student Debt Cancellation: Updates and Thought, Gloria Oh

IDEAS

From Cover to Cover: Braking out of the Adventist Bubble, Bella …


(R1509) Topsis And Vikor Methods For Spherical Fuzzy Soft Set Aggregating Operator Framework, M. Palanikumar, K. Arulmozhi, Lejo J. Manavalan Dec 2022

(R1509) Topsis And Vikor Methods For Spherical Fuzzy Soft Set Aggregating Operator Framework, M. Palanikumar, K. Arulmozhi, Lejo J. Manavalan

Applications and Applied Mathematics: An International Journal (AAM)

The Spherical Fuzzy Soft (SFS) set is a generalization of the Pythagorean fuzzy soft set and the intuitionistic fuzzy soft set. We introduce the concept of aggregating SFS decision matrices based on aggregated operations. The techniques for order of preference by similarity to ideal solution (TOPSIS) and viekriterijumsko kompromisno rangiranje (VIKOR) for the SFS approaches are the strong points of multi criteria group decision making (MCGDM), which is various extensions of fuzzy soft sets. We define a score function based on aggregating TOPSIS and VIKOR methods to the SFS-positive and SFS-negative ideal solutions. The TOPSIS and VIKOR methods provide decision-making …


(R1960) Connectedness And Compactness In Fuzzy Nano Topological Spaces Via Fuzzy Nano Z Open Sets, R. Thangammal, M. Saraswathi, A. Vadivel, C. John Sundar Dec 2022

(R1960) Connectedness And Compactness In Fuzzy Nano Topological Spaces Via Fuzzy Nano Z Open Sets, R. Thangammal, M. Saraswathi, A. Vadivel, C. John Sundar

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, we study the notion of fuzzy nano Z connected spaces, fuzzy nano Z disconnected spaces, fuzzy nano Z compact spaces and fuzzy nano Z separated sets in fuzzy nano topological spaces. We also give some properties and theorems of such concepts with connectedness and compactness in fuzzy nano topological spaces.


(R1974) A Multi Server Markovian Working Vacation Queue With Server State Dependent Rates And With Partial Breakdown, A. Sundaramoorthy, R. Kalyanaraman Dec 2022

(R1974) A Multi Server Markovian Working Vacation Queue With Server State Dependent Rates And With Partial Breakdown, A. Sundaramoorthy, R. Kalyanaraman

Applications and Applied Mathematics: An International Journal (AAM)

In this article, we consider an M/M/C queue in which the arrival rate and service rate depends on the state of the system. In addition, the servers takes working vacation and the system may breakdown. Whenever breakdown takes place, the repair process immediately commences. During the repair period the customers are given service in a reduced service rate. Based on the vacation termination point, two models have been defined. The steady state probability vector of the number of customers in the queue and the stability condition are obtained using Matrix-Geometric method. The stationary waiting time distributions have been obtained. Some …


(R2023) Analysis Of The Auto-Oscillation Of A Perturbed Sir Epidemiological Model, Seyive J. Degbo, Guy A. Degla Dec 2022

(R2023) Analysis Of The Auto-Oscillation Of A Perturbed Sir Epidemiological Model, Seyive J. Degbo, Guy A. Degla

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, we study a class of compatimental epidemiological models consisting of Susceptible, Infected, and Removed (SIR) individuals with a perturbation factor or exterior effects such as noise, climate change, pollution, etc. We prove the existence and uniqueness of a limit cycle confined in a nonempty closed and convex set by relying on a recent result of Lobanova and Sadovskii. Moreover, we study the existence of Hopf and Bogdanov-Takens bifurcations by applying respectively Poincare-Andronov-Hopf bifurcation theorem and Bogdanov-Takens theorem. Eventually, using Scilab, we illustrate the validity of our results with numerical simulations and also interpret them.


(R1979) Permanent Of Toeplitz-Hessenberg Matrices With Generalized Fibonacci And Lucas Entries, Hacène Belbachir, Amine Belkhir, Ihab-Eddine Djellas Dec 2022

(R1979) Permanent Of Toeplitz-Hessenberg Matrices With Generalized Fibonacci And Lucas Entries, Hacène Belbachir, Amine Belkhir, Ihab-Eddine Djellas

Applications and Applied Mathematics: An International Journal (AAM)

In the present paper, we evaluate the permanent and determinant of some Toeplitz-Hessenberg matrices with generalized Fibonacci and generalized Lucas numbers as entries.We develop identities involving sums of products of generalized Fibonacci numbers and generalized Lucas numbers with multinomial coefficients using the matrix structure, and then we present an application of the determinant of such matrices.


(R1992) Rbf-Ps Method For Eventual Periodicity Of Generalized Kawahara Equation, Hameed Ullah Jan, Marjan Uddin, Arif Ullah, Naseeb Ullah Dec 2022

(R1992) Rbf-Ps Method For Eventual Periodicity Of Generalized Kawahara Equation, Hameed Ullah Jan, Marjan Uddin, Arif Ullah, Naseeb Ullah

Applications and Applied Mathematics: An International Journal (AAM)

In engineering and mathematical physics, nonlinear evolutionary equations play an important role. Kawahara equation is one of the famous nonlinear evolution equation appeared in the theories of shallow water waves possessing surface tension, capillary-gravity waves and also magneto-acoustic waves in a plasma. Another specific subjective parts of arrangements for some of evolution equations evidenced by findings link belonging to their long-term actions named as eventual time periodicity discovered over solutions to IBVPs (initial-boundary-value problems). Here we investigate the solution’s eventual periodicity for generalized fifth order Kawahara equation (IBVP) on bounded domain in combination with periodic boundary conditions numerically exploiting mesh-free …


(R1995) Weighted Block-Wise Burst Error Correcting Codes, Amita Sethi, Arpana Sharma Dec 2022

(R1995) Weighted Block-Wise Burst Error Correcting Codes, Amita Sethi, Arpana Sharma

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, we construct new types of codes, called Weighted Block-wise Burst Error Correcting Codes (Weighted BBEC Codes), which are an improvement on the previously known block wise burst error correcting codes in the sense of their weight, i.e., (n = n1 + n2, k) linear codes that correct all the bursts of length b1 (fixed) with the weight w1 (w1 ≤ b1) or more (less) in the first sub-block of length n1 and all the bursts of length b2 (fixed) with the weight w2 or more (less) …


(R1895) On Refinements And Generalizations Of Hadamard Inequalities For Riemann-Liouville (R-L) Integrals, Ghulam Farid, Sidra Bibi Dec 2022

(R1895) On Refinements And Generalizations Of Hadamard Inequalities For Riemann-Liouville (R-L) Integrals, Ghulam Farid, Sidra Bibi

Applications and Applied Mathematics: An International Journal (AAM)

The Hadamard inequality is a graphical interpretation of convex functions in the coordinate plane. We give its different variants for (R-L) fractional integrals of strongly exponentially (α, h − m)- convex functions. These inequalities are generalizations and refinements of Hadamard inequalities for Riemann-Liouville fractional integrals of exponentially; convex, m-convex, (α,m)-convex, (h − m)-convex, (s,m)-convex functions in combined forms. The error bounds of established inequalities are also obtained. Special cases of main results are mentioned, which have been already published by different authors.


Diagnosing Covid-19 Infection In Chest X-Ray Images Using Neural Network, Salim M. Zaki, Mustafa Musa Jaber, Mohammed A. Kashmoola Dec 2022

Diagnosing Covid-19 Infection In Chest X-Ray Images Using Neural Network, Salim M. Zaki, Mustafa Musa Jaber, Mohammed A. Kashmoola

Baghdad Science Journal

With its rapid spread, the coronavirus infection shocked the world and had a huge effect on billions of peoples' lives. The problem is to find a safe method to diagnose the infections with fewer casualties. It has been shown that X-Ray images are an important method for the identification, quantification, and monitoring of diseases. Deep learning algorithms can be utilized to help analyze potentially huge numbers of X-Ray examinations. This research conducted a retrospective multi-test analysis system to detect suspicious COVID-19 performance, and use of chest X-Ray features to assess the progress of the illness in each patient, resulting in …


A Geographic Segmentation Approach For Satellite-Derived Bathymetry, Juliane Jussara Affonso Dec 2022

A Geographic Segmentation Approach For Satellite-Derived Bathymetry, Juliane Jussara Affonso

Master's Theses and Capstones

Safety of navigation depends on our knowledge of seabed and its features, and, as such, any improvements in deriving bathymetry for nautical chart updating are of major importance. Satellite-Derived Bathymetry (SDB) is an alternative to traditional surveys using ship and airborne sensors, particularly for mapping remote and shallow areas, due to its reduced cost and the absence of navigational risks in very shallow and unsurveyed areas. However, the accuracy of SDB can be judged as relatively low for nautical charting purposes and, therefore, is mostly used for reconnaissance or/and for filling gaps in remote or very shallow areas. One of …


University Expands Research Integrity And Compliance Efforts, Gaye Swan Dec 2022

University Expands Research Integrity And Compliance Efforts, Gaye Swan

University of Mississippi News

Marta Panickar joins administration as inaugural director of research security


Glitch Estimation And Removal Using Adaptive Spline Fitting And Wavelet Shrinkage On The Gravitational Wave Data, Mohammad Abu Thaher Chowdhury Dec 2022

Glitch Estimation And Removal Using Adaptive Spline Fitting And Wavelet Shrinkage On The Gravitational Wave Data, Mohammad Abu Thaher Chowdhury

Theses and Dissertations

The false alarm rate and reduced sensitivity of searches for astrophysical signals are caused by transient signals of earthly origin, or "glitches," in gravitational wave strain data from groundbased detectors. The greater number of observable astrophysical signals will increase the likelihood of glitch overlaps and exacerbate their negative impact for future detectors with higher sensitivities. The wide morphological diversity and unpredictable waveforms of glitches, and with the vast majority of cases lacking supplemental data present the main obstacles to their mitigation. Thus, nonparametric glitch mitigation techniques are required, which should operate for a wide range of glitches and, in the …


Status Of The Western Australian Pastoral Rangelands 2022: Total Vegetative Cover And Cover Risk, Department Of Primary Industries And Regional Development Dec 2022

Status Of The Western Australian Pastoral Rangelands 2022: Total Vegetative Cover And Cover Risk, Department Of Primary Industries And Regional Development

Natural resources published reports

The Department of Primary Industries and Regional Development monitors and reports on the vegetation condition of pastoral rangelands in Western Australia. This 2022 short report uses remotely sensed total vegetative cover data available to the end of October 2022, rainfall data to November 2022 and Stock Return data reported in 2021 (the most recent available) to determine cover risk. Cover risk at the land conservation district (LCD) level is an indicator of the likelihood of total cover declining to, or remaining at, Low or Very low levels. Total cover and cover risk may not be indicative of vegetation condition and …


Geology, Soils And Climate Of Western Australia's Wine Regions, Peter J. Tille, Angela Stuart-Street, Peter S. Gardiner Dec 2022

Geology, Soils And Climate Of Western Australia's Wine Regions, Peter J. Tille, Angela Stuart-Street, Peter S. Gardiner

Bulletins 4000 -

This bulletin details what is special and unique about the geology, soil and climate of the south-west of Western Australia (WA), an area that encompasses the state’s 9 wine regions.

We have arranged the information into 2 parts:

  • In Part 1, we broadly describe the special geological, soil and climate features of the south-west of WA to provide context for the wine regions.
  • In Part 2, we describe the geology, soil and climate of the regions and subregions of the Geographical Indications (GI) scheme (administered by Wine Australia) for WA.

Through this work we have found that the wine regions …


The Characterization Of Natural Ingredients As Pharmaceutical Excipients In Paracetamol Tablets, Nigel Patrick Brooks Jr Dec 2022

The Characterization Of Natural Ingredients As Pharmaceutical Excipients In Paracetamol Tablets, Nigel Patrick Brooks Jr

All Theses

Excipients used in pharmaceuticals are inactive ingredients that play a big role in drug formulations, and drug delivery systems. Binders are a type of pharmaceutical excipient that is crucial to the stability, physical characteristics, and cohesiveness of the tablet. Fully synthetic binders, such as polyethylene glycol (PEG), are commonly used due to their great formulation traits; however, these materials may have a slow dissolution rate, reduced bioavailability, or the potential to cause allergic reactions. Due to these limitations, natural excipients would be a great alternative due to their biocompatibility and faster dissolution rate. The purpose of this research was to …


Using Online Education To Address The Challenges Of Small, Multigrade Schools, Lori Imasiku, Michael Gayle, Michelle Bacchiocchi, Melanie Kartik Dec 2022

Using Online Education To Address The Challenges Of Small, Multigrade Schools, Lori Imasiku, Michael Gayle, Michelle Bacchiocchi, Melanie Kartik

Faculty Publications

No abstract provided.


A Comparative Study Of Instructional Perspectives Among Learning And Development Practitioners, Merzudin Selimovic Dec 2022

A Comparative Study Of Instructional Perspectives Among Learning And Development Practitioners, Merzudin Selimovic

Dissertations

The instructional perspectives of learning and development practitioners have a critical impact on their learners. This study aimed to determine if a relationship existed between years of experience of a learning and development practitioner and how they score on the seven factors of Henschke’s (1989) Modified Instructional Perspectives Inventory (MIPI). The MIPI consisted of seven factors: 1) Teacher Empathy with Learners, 2) Teacher Trust of Learners, 3) Planning and Delivery of Instruction, 4) Accommodating Learner Uniqueness, 5) Teacher Insensitivity Toward Learners, 6) Learner-centered Learning Process (Experience-based Learning Techniques), and 7) Teacher-centered Learning Process. The MIPI is a revised version of …


Protectbot: A Chatbot To Protect Children On Gaming Platforms, Anum Faraz Dec 2022

Protectbot: A Chatbot To Protect Children On Gaming Platforms, Anum Faraz

Theses

Online gaming no longer has limited access, as it has become available to a high percentage of children in recent years. Consequently, children are exposed to multifaceted threats, such as cyberbullying, grooming, and sexting. The online gaming industry is taking concerted measures to create a safe environment for children to play and interact with, such efforts remain inadequate and fragmented. Different approaches utilizing machine learning (ML) techniques to detect child predatory behavior have been designed to provide potential detection and protection in this context. After analyzing the available AI tools and solutions it was observed that the available solutions are …


Intermediate Algebra Students’ Perspectives Towards Learning Mathematics, And Technology, Caree J. S. Pinder Dec 2022

Intermediate Algebra Students’ Perspectives Towards Learning Mathematics, And Technology, Caree J. S. Pinder

USF Tampa Graduate Theses and Dissertations

Research states that many remedial mathematics learners possess low mathematics academic self-concept, negative attitudes, and high anxiety levels. These aspects can manifest in a lack of confidence, apprehension, reduced engagement, or academic failure (2007; Klinger, 2008; Larkin & Jorgensen, 2016; Parnis & Petocz, 2016;). However, if these learners successfully pass remedial mathematics courses like Intermediate Algebra, they are more likely to persist in mathematics and the university (Benken et al., 2015). Due to students' success in remedial mathematics, persistence in mathematics raises many questions. In many cases, these students have had unpleasant experiences, attitudes, or beliefs about mathematics but were …


Rainwater Catchment System Designed For California Polytechnic State University Building 34, Jonah S. Aere Dec 2022

Rainwater Catchment System Designed For California Polytechnic State University Building 34, Jonah S. Aere

Construction Management

California Polytechnic State University currently receives its water supply from either Whale Rock Reservoir, for distilled water, or pumped from six ground wells, for agricultural use. Although the university’s Agricultural College requires a certain amount of water to grow crops, these demands are often not met due to the lack of water within these underground wells. A rainwater capture system could be constructed to ease the water supply burden which is already depleting, reduce wasted drainage, and maintain a sustainable agricultural water source without being dependent on other locations. This would benefit the institution by reducing imported water thereby saving …


Evolution Of The Repression Mechanisms In Circadian Clocks, Jonathan Tyler, Yining Lu, Jay Dunlap, Daniel B. Forger Dec 2022

Evolution Of The Repression Mechanisms In Circadian Clocks, Jonathan Tyler, Yining Lu, Jay Dunlap, Daniel B. Forger

Dartmouth Scholarship

Background: Circadian (daily) timekeeping is essential to the survival of many organisms. An integral part of all circadian timekeeping systems is negative feedback between an activator and repressor. However, the role of this feedback varies widely between lower and higher organisms. Results: Here, we study repression mechanisms in the cyanobacterial and eukaryotic clocks through mathematical modeling and systems analysis. We find a common mathematical model that describes the mechanism by which organisms generate rhythms; however, transcription’s role in this has diverged. In cyanobacteria, protein sequestration and phosphorylation generate and regulate rhythms while transcription regulation keeps proteins in proper stoichiometric balance. …


Enabling Decision-Making In Battery Electric Bus Deployment Through Interactive Visualization, Xiaoyue Cathy Liu, Gabrielius Kudirka, Biao Kuang, Yirong Zhou, Jianlin Chen Dec 2022

Enabling Decision-Making In Battery Electric Bus Deployment Through Interactive Visualization, Xiaoyue Cathy Liu, Gabrielius Kudirka, Biao Kuang, Yirong Zhou, Jianlin Chen

TREC Final Reports

The transit industry is rapidly transitioning to battery-electric fleets because of the direct environmental and financial benefits they could offer, such as zero emissions, less noise, and lower maintenance costs. Yet the unique spatiotemporal characteristics associated with transit system charging requirements, as well as various objectives when prioritizing the fleet electrification, requires the system operators and/or decision-makers to fully understand the status of the transit system and energy/power system in order to make informed deployment decisions. A recently completed NITC project, No. 1222 titled An Electric Bus Deployment Framework for Improved Air Quality and Transit Operational Efficiency, developed a bi-objective …


Data From: Machine Learning Predictions Of Electricity Capacity, Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, Rhitabrat Pokharel, Francis Puyleart, Martin Zwick Dec 2022

Data From: Machine Learning Predictions Of Electricity Capacity, Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, Rhitabrat Pokharel, Francis Puyleart, Martin Zwick

Complex Systems Faculty Datasets

This research applies machine learning methods to build predictive models of Net Load Imbalance for the Resource Sufficiency Flexible Ramping Requirement in the Western Energy Imbalance Market. Several methods are used in this research, including Reconstructability Analysis, developed in the systems community, and more well-known methods such as Bayesian Networks, Support Vector Regression, and Neural Networks. The aims of the research are to identify predictive variables and obtain a new stand-alone model that improves prediction accuracy and reduces the INC (ability to increase generation) and DEC (ability to decrease generation) Resource Sufficiency Requirements for Western Energy Imbalance Market participants. This …


Optimal Scheduling Of Aircraft Test And Evaluation Fleets To Balance Availability For Testing And Training, Sarah E. Hoops Dec 2022

Optimal Scheduling Of Aircraft Test And Evaluation Fleets To Balance Availability For Testing And Training, Sarah E. Hoops

Theses and Dissertations

The 96th Test Wing at Eglin Air Force Base manually schedules a fleet of approximately 26 aircraft to conduct a range of missions over a one-to-two year planning period. This study automates the scheduling process, does so in a manner that optimizes multiple planning goals related to aircraft availability for training, and provides the 96th Test Wing with a software tool for the implementation that can be used by operational analysts within the command. We formulate the scheduling problem as a multiobjective, nonlinear, binary integer math program that seeks to maximize both the lowest percent of time any aircraft is …


Cooperative Wide Area Search Algorithm Analysis Using Sub-Region Techniques, Shawn Whitney Dec 2022

Cooperative Wide Area Search Algorithm Analysis Using Sub-Region Techniques, Shawn Whitney

Theses and Dissertations

Recent advances in small Unmmaned Aerial Vehicle (UAV) technology reinvigorates the need for additional research into Wide Area Search (WAS) algorithms for civilian and military applications. But due to the extremely large variability in UAV environments and design, Digital Engineering (DE) is utilized to reduce the time, cost, and energy required to advance this technology. DE also allows rapid design and evaluation of autonomous systems which utilize and support WAS algorithms. Modern WAS algorithms can be broadly classified into decision-based algorithms, statistical algorithms, and Artificial Intelligence (AI)/Machine Learning (ML) algorithms. This research continues on the work by Hatzinger and Gertsman …