Digital Commons Network^™

Neutrosophic Sets In Neural Networks: Theory, Applications, And Challenges, Vladimir Simic, Dragan Pamucar, Hafiz Muhammad Athar Farid

Neutrosophic Systems with Applications

The integration of neutrosophic sets into neural networks presents a novel approach to handling uncertainty, indeterminacy, and falsity in data. Traditional neural networks typically operate under the assumption of precise and complete data, but real-world applications often involve noisy, incomplete, or ambiguous information. Neutrosophic sets extend fuzzy logic by incorporating three components: truth, indeterminacy, and falsity, allowing for a more nuanced representation of uncertain data. This paper explores the theoretical foundations of neutrosophic sets and their integration with neural networks, highlighting the challenges in computational complexity, training, and optimization. The paper also discusses the potential applications of neutrosophic neural networks …

Emergent Operator Logic: A Foundational Framework For Dynamic Reasoning And Generative Intelligence, Mona Gharib, Abduallah Gamal, Muhammad Nawaz, Basma Nasir

Neutrosophic Systems with Applications

This paper introduces Emergent Operator Logic (EOL), a framework that treats propositions as continuous operators $F_p:X \rightarrow X$ on a complete metric state space $( X,d )$ and evaluates truth after action via a continuous valuation $V:X \rightarrow [ 0,1 ]$. Logical composition is realized by three operator-level connectives: sequential $p \circ q$(causal order), parallel $p\parallel q$(1-Lipschitz cooperative blend), and the emergent synthesis $E( p,q ) = \frac12( F_p \circ F_q + F_q \circ F_p )$, which symmetrizes non-commuting actions. We provide a Hilbert-style proof system (sound), an algebraic semantics via E-algebras, and show that the category of E-algebras is …

Development Of Deep Fused Neural Architecture For Ancient Tamil Palm-Leaf Manuscript Recognition, Hariharan P Mr

Theses and Dissertations

Digitizing Tamil palm-leaf manuscripts is important for education, communication, and the preservation of cultural heritage. The complex structure of the Tamil script, the wide range of handwriting styles, and the degradation seen in ancient Tamil palm-leaf manuscripts make these texts very difficult to read and understand. Digital Image Processing (DIP), document analysis techniques, and traditional Optical Character Recognition (OCR) are unable to handle noise, background interference, faded ink, and limited labelled data, motivating the need for robust, effective Deep Learning (DL)- based solutions.

As a prerequisite to understanding and designing effective recognition systems for ancient manuscripts, this thesis first examines …

Deciphering The Role Of Binder Reaction Exothermicity In Thermal Runaway Of Lithium-Ion Cells, Wen Wen, Jing-Hong Zhou, Hao-Tian Lu, Xing-Gui Zhou

Journal of Electrochemistry

Thermal safety associated with lithium-ion cells as power sources remains a critical industry concern. A comprehensive understanding of how internal exothermic side reactions contribute to temperature rise is fundamental for accurately analyzing thermal runaway processes and predicting the thermal safety of lithium-ion cells. While various side-reactions, such as decomposition of solid electrolyte interphase layer, reaction between anode materials and electrolyte, reaction between cathode materials and electrolyte, and electrolyte decomposition, have been identified as heat generation sources in previous studies, the quantification of these reactions remains insufficiently standardized. Particularly, the impact of heat generation from binder decomposition (most commonly polyvinylidene difluoride) …

Axial Sulfur-Coordination Engineering Boosting Fe–N–C Catalysts For High-Performance Proton Exchange Membrane Fuel Cells, Lin Lin, Xiu-Xuan Hou, Zhe-Chen Fan, Yi-Xuan Yin, Wei-Yi Zhao, Kai Wei, Yu-Die Zhou, Li-Na Hou, Ying Wang, Hao Wan, Jun-Jie Ge

Journal of Electrochemistry

Fe-N-C catalysts have long suffered from kinetically sluggish oxygen reduction reaction (ORR) due to excessive adsorption strength toward oxygen intermediates and low site utilization. Heteroatom doping effectively accelerates ORR reaction kinetics through electronic structure modulation of metal sites for optimal intermediate adsorption, while chemical vapor deposition (CVD) enhances the turnover frequency (TOF) of active sites. Herein, we developed an FeSNC catalyst featuring abundant FeS₁N₄ sites via a dual-precursor CVD strategy. Experimental and theoretical analyses revealed that S incorporation disrupts the symmetric coordination of active sites, which optimizes OH* adsorption energies from 0.212 eV to 1.194 eV. Moreover, …

Entropy Of Metal/Solution Interfaces: Thermodynamic Framework, Theoretical Models, And Roles Of Interfacial Water, Zeng-Ming Zhang, Zi-Xi Liang, Jun Huang

Journal of Electrochemistry

Entropy is a basic thermodynamic property of the electrical double layer (EDL) at metal/solution interfaces, yet, its definition, measurement, and theoretical treatment are dispersed in the literature, and, in some cases, ambiguous. In this paper, we revisit the thermodynamic theory of EDL, from which two variants of entropy, excess entropy and formation entropy, are obtained and compared. In terms of the formation entropy, two calculation routes are validated in the context of a primitive EDL model, namely, the Gouy-Chapman (GC) model. After clarifying the concepts and calculation routes, we investigate interfacial water effects on the EDL entropy, using a refined …

Evaluating Runtime Monitoring For Reinforcement Learning-Based Flight Control, Andrew Zubyk

Doctoral Dissertations and Master's Theses

Ensuring safety in adaptive flight controls systems is an ongoing challenge in aviation, especially as advancements in artificial intelligence and machine learning (AI/ML) trend upwards. Reinforcement learning is becoming more common in aerospace applications due to the ability to improve these models through training.  While models such as reinforcement learning enable controllers to learn complex behaviors from interaction with the environment, their unpredictability in novel or disturbed conditions raises severe concerns in safety-critical domains. This research investigates the integration of runtime monitoring, a real-time assurance technique, with reinforcement learning-based flight controllers to ensure safety and reliability during flight. By supervising …

Chemical Design Strategies For Hybrid Metal Halide Semiconductors With Enhanced Stability And Optoelectronic Properties, Ali Azmy

USF Tampa Graduate Theses and Dissertations

Metal halide semiconductors have rejuvenated the attention of the scientific community for the last two decades owing to their photophysical and electronic properties. However, these materials have some limitations that hinder their commercialization and widespread application. One major limitation of these materials is their instability under ambient and operating conditions of moisture, head, light and radiation exposure. Here, we report multiple chemical design strategies to address the stability issues of these materials while simultaneously maintaining their exceptional optoelectronic properties. Such design strategies allowed the acquisition of the first members of the family of porous metal halide semiconductors which exhibit record …

Slender And Nonslender Delta Wing Simulation And Analysis, Aashish Gyawali, Brinda Bhattarai, Nishesh Bista, Sundeep Rao Dr

Journal of Aviation Technology and Engineering

Stability, controllability, and maneuverability are critical factors for aircraft with short takeoff and landing distances, such as modern fighter aircraft and unmanned aerial vehicles. Delta wings are commonly employed in these aircraft due to their efficient aerodynamics, enabling high maneuverability, and performance at both low and high speeds. Nonslender wings are used for low-speed performance and agility, while slender wings offer reduced drag and are suited for high-speed operations. In flight, an aircraft encounters different airflow patterns including vortices that circulate from the higher-pressure lower side of the wing to the lower-pressure upper side, contributing to lift generation. However, as …

The Waldo Dataset, Mary E. Koone, Rosie Kallie, Vassilis Athisos, Laurel S. Stvan

Computer Science and Engineering Datasets - Archive

Distinct from the task of predicting the author of a document (authorship attribution), we focus on addressing the issue of how to estimate the similarity between the written language styles of authors. To do so, we present a dataset of metadata derived by asking human annotators, who were presented with three documents, to identify which two were written by the same author and which was written by a different author. The dataset has over 400 such annotations, creating a companion to the Amazon Web Services (AWS) customer review dataset, laying the groundwork for crowdsourcing applications to other natural language processing …

Deep Learning Based Control System For Multi-Zone Hvac Residential Buildings, Mohammad H. Z. Alghalayeeni

Mechanical Engineering Theses

Heating, ventilation, and air conditioning (HVAC) systems are major contributors to residential energy consumption. However, most homes continue to rely on single zone thermostat control, which regulates temperature based on a single sensor and cannot account for thermal variations across multiple rooms. This often leads to uneven thermal conditions and inefficient energy use in multi-zone residential buildings. This thesis presents a deep reinforcement learning based approach for improving HVAC zoning control through dynamic airflow distribution. A physics based multi zone thermal model of a residential house was developed to simulate heat transfer processes including conduction, convection, solar and internal heat …

Learning To Refine Gesture-Derived Voxel-To-Loop For Generative 3d Modeling In Vr, Kallen Lonbom, Trudi Di Qi

Engineering Faculty Articles and Research

We present a generative modeling pipeline for refining and denoising coarse 3D shapes created through freehand interaction in virtual reality (VR). While recent loop-based generative models focus on shape synthesis from clean inputs, our work addresses the challenge of reconstructing coherent geometry from noisy, coarse volumetric data. To this end, we introduce a hybrid voxel-to-loop representation that captures the topology of rough voxel shapes and converts them into sequential cross-sectional loops for generative refinement. We develop two transformer architectures and evaluate their efficacy primarily on synthetically perturbed datasets with additional examples from VR. Our results demonstrate that this representation is …

Exploiting Chaotic Antenna Arrays For Rf Fingerprint Authentication And Physical Layer Security In Wireless Communications, Joshua K. Thomas Ranstrom

USF Tampa Graduate Theses and Dissertations

Modern wireless networks support a wide range of applications including consumer devices, healthcare monitoring, industrial automation, smart grids, and military platforms, in which transmitted information is often highly sensitive and subject to stringent confidentiality and integrity requirements. As wireless communication operates over an open broadcast medium it exposes systems to physical layer (PHY) threats such as eavesdropping, in which an adversary passively intercepts transmitted information, and spoofing, in which a forged transmission misleads the receiver about device identity. Cryptographic defenses address both threats but require computational assumptions and key management infrastructure that may not scale to dense or resource-constrained deployments. …

Sprinkler Package Runoff Risk Tool For Center Pivot Irrigation Systems, Will Bowers

Spring Runoff Conference

Center pivots in Utah 

• 403,524 acres = 67% of sprinkler irrigated fields in the open in Utah 
• Considered one of the most effective sprinkler systems available with technological advancements over the years

Evaluating Alternative Water Conservation Scenarios For Alfalfa In The Great Salt Lake Basin Using Integrated Climate Model Projections, Saddy Pineda-Castellanos, Masoumeh Hashemi

Spring Runoff Conference

Elevation of Great Salt Lake North and South Arms (1903-2026)

An Estimation Of Crop Evapotranspiration Using Soil Water Balance In Vineyards, Tarique Aziz, Burdette Barker, Michael Caron, Michael Pace

Spring Runoff Conference

Breakout Session presentation given at the 2026 Spring Runoff Conference

Immersive Modeling To Generate Holistic Strategies To Get More Water To Great Salt Lake, Hadia Akbar

Spring Runoff Conference

How to get more water to GSL?

Must Address

• Complex water rights
• Competing water needs
• Historical legacies
• Variable and arid hydrology
• Infrastructure limitations and opportunities
• Lack of trust

What Makes Smart Irrigation Work? Lessons From Producers In The Upper Colorado River Basin, Tejinder Singh, Matt Yost, Elisa Flint, Burdette Barker, Jessica Ulrich-Schad, Silas Ekadu

Spring Runoff Conference

Colorado River Basin Water Crisis

• Water allocations in the Colorado River Basin were set during wetter periods and now exceed current river flows, creating a gap between water supply (12.5 maf yr^-1) and demand (15 maf yr^-1).
• River flow has declined 19% since 2000.

Making Water Visible: Neutral, Verification-First Infrastructure For Basin-Scale Water Accountability, Eric Mcculley

Spring Runoff Conference

Every Tool Tells You What the Lake Level WAS.

None Tell You What It WILL BE.

• Current monitoring is retrospective — USGS gauges and DWR reports show only historical data
• Decision lag: By the time you see the problem, it’s too late to adjust
• 2024–2025 season: GSL dropped to record lows before upstream conservation kicked in
• Agricultural users, municipalities, and GSL all compete for limited supply with imperfect information

Leasing Water For Great Salt Lake: Water Savings And Producer Impacts, Conner Harwood

Spring Runoff Conference

Great Salt Lake Water Leasing

• Utah is working to increase inflows to GSL through voluntary water leasing from agriculture
• But key information is missing:
• How much water can leases save at the field level?
• At what price should farmers be compensated?
• This project:

1. Estimates field-level consumptive water use
2. Estimates the value of water in agricultural production
3. Evaluates water savings and producer impacts across leasing strategies

Meteorological Monitoring With Real-Time Data Processing Using Uas, Htoo Poe Sar, Cal Coopmans, Sierra Young

Spring Runoff Conference

Background and Motivation 

• Agricultural water management requires information about crop water use and water consumption 
• Remote sensing methods are used to model and estimate environmental processes – but they require weather data 

Utah Prototype For Visualizing Vulnerabilities Downstream Of Dams, Courtney Flint, Michael Englert, Nicolas Holden

Spring Runoff Conference

The climate question 

• Overtopping = 1/3^rd of all dam failures (ASDSO) 
• Drought concerns and supply uncertainty motivate keeping reservoirs full 
• Overtopping likelier if extreme storm when reservoir full 
• Over much of the country the probability of the annual daily maximum rainfall > 100-year event and the preceding 30-day rainfall >10-year event are going up (Hwang & Lall 2024) 

The Reform Of Prior Appropriation And The Fate Of Great Salt Lake, Christopher L. Lant, Rocky Seeley, Beth Parker, Andrew Follett

Spring Runoff Conference

Legal Issues Raised by the Decline of Great Salt Lake

• Violations of Clean Air Act from dust threaten federal intervention
• Petition to list Wilson’s Phalarope as an endangered species

Nutrient Inputs, Crop Removal, And Residual Soil Nitrogen Under Automated Surge Irrigation In Northen Utah, Ngoni Mufute

Spring Runoff Conference

Introduction

• Increasing pressure on already water scarce resources due to

• Climate Change and or variability

• Increasing demand and competition for water. E.g. due to -urban expansion

• Environmental concerns (Especially concerning the Great Salt Lake (GSL)-

• the shrinking of water levels in the GSL,

• increasing pollution levels in the GSL and

• the impact of these issues on industry,

• dust from the drying lakebed,

• increasing threat to both aquatic life and land animals

The Physical, Legal, And Modeling Infrastructure For Water Resource Management Has Reached A Tipping Point, Paul Brooks

Spring Runoff Conference

Addressing these challenges requires improved predictions of water supply

Supporting The Great Salt Lake: M&I Water Conservation Opportunities, Easton Hopkins

Spring Runoff Conference

Analysis of historical M&I water use, depletion, and conservation strategies to reduce anthropogenic impact on Great Salt Lake (GSL) while supporting M&I water needs.

Impacts Of Biochar And Fe/Zn-Doped Biochar On The Degradation And Transformation Of Pfas In Wastewater Biosolids Compost, Chase Fry, R. Ryan Dupont, Joan Mclean

Spring Runoff Conference

Background

• >5.8 million dry metric tons of biosolids were produced in 2018.
• It is difficult & expensive to landfill all biosolids produced.
• Biosolids are increasingly used as an agricultural fertilizer and soil amendment.

Ground Water Assessment Of Cache Valley Using Modern Tracing Techniques, Eric Humphrey, Bethany Neilson

Spring Runoff Conference

Monitor, analyze, and predict current and evolving dynamics of complex human and natural Earth-system interactions and to deliver actionable information at scales and timeframes relevant to decision makers.

Rethinking Harmful Algal Blooms In Utah Waters: A Paradigm Shift In Water Quality And Management, Kabilan Mani

Spring Runoff Conference

Droughts are intensifying in frequency and severity, straining already limited water supplies.

Hydrodynamics Of Bear Lake: Waves, Currents, Circulation, And Residence Times, Jeffrey Nielson

Spring Runoff Conference

Until we understand water movement, we’ll struggle to explain or manage what happens in Bear Lake.