Digital Commons Network^™

Neutrosophic N-Valued Refined Sets And Topologies, Murad Ara

Neutrosophic Sets and Systems

No abstract provided.

A Comparative Study Of Fuzzy Cognitive Maps And Neutrosophic Cognitive Maps On Covid Variants, Regan Murugesan, Yamini Parthiban, R. Narmada Devi, Kala Raja Mohan, Sathish Kumar Kumarave

Neutrosophic Sets and Systems

No abstract provided.

A Study On N-Hyperspherical Neutrosophic Matrices, V. Muthukumaran, M. Sathish Kumar, I. Silambarasan, R. Udhayakumar, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Decision-Making Techniques Based On Similarity Measures Of Possibility Neutrosophic Soft Expert Sets, Faisal Al-Sharqi, Yousef Al-Qudah, Naif Alotaibi

Neutrosophic Sets and Systems

No abstract provided.

A Total Order On Single Valued And Interval Valued Neutrosophic Triplets, V Lakshmana Gomathi Nayagam, Bharanidharan R

Neutrosophic Sets and Systems

No abstract provided.

On Neutrosophic Homeomorphisms Via Neutrosophic Functions, P. Basker, Broumi Said

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic 2−Normed Spaces And Generalized Summability, Sajid Murtaza, Archana Sharma, Vijay Kumar

Neutrosophic Sets and Systems

No abstract provided.

New Approach To Bisemiring Theory Via The Bipolar Valued Neutrosophic Normal Sets, M. Palanikumar, G. Selvi, Ganeshsree Selvachandran, Sher Lyn Tan

Neutrosophic Sets and Systems

No abstract provided.

Application Of Some Topological Indices In Nover Topologized Graphs, G. Muthumari, R. Narmada Devi

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Generalized Exponential Distribution With Application, Gadde Srinivasa Rao, Mina Norouzirad, Danial Mazarei

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Logic-Based Diana Clustering Algorithm, Azeddine Elhassouny

Neutrosophic Sets and Systems

No abstract provided.

Closed Neutrosophic Dominating Set In Neutrosophic Graphs, Amir Majeed, Nabeel Arif

Neutrosophic Sets and Systems

No abstract provided.

Introduction To Anti-Bitopological Spaces, Jeevan Krishna Khaklary, Tomasz Witczak

Neutrosophic Sets and Systems

No abstract provided.

A Novel Approach Towards Parameter Reduction Based On Bipolar Hypersoft Set And Its Application To Decision-Making, Sagvan Y. Musa, Baravan A. Asaad

Neutrosophic Sets and Systems

No abstract provided.

Extension Of G-Algebras To Superhyper G-Algebras, Marzieh Rahmati, Mohammad Hamidi

Neutrosophic Sets and Systems

No abstract provided.

Real Examples Of Neutrogeometry & Antigeometry, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

A Study Of Neutroalgebra And Antialgebra Of Ideals In A Factor Ring, A. A. A. Agboola, M. A. Ibrahim

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 55, 2023, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Femtotesla Magnetometry And Nanoscale Imaging With Color Centers In Diamond, Yaser Silani

Optical Science and Engineering ETDs

Intriguing photophysical properties of color centers in diamond make them ideal candidates for many applications from imaging and sensing to quantum networking. In the first part of this work, we have studied the silicon vacancy (SiV) centers in diamond for nanoscale imaging applications. We showed that these centers are promising fluorophores for Stimulated Emission Depletion (STED) microscopy, owing to their photostable, near-infrared emission and favorable photophysical properties. In the second part, we built a femtotesla Radio-Frequency (RF) magnetometer based on the diamond nitrogen vacancy (NV) centers and magnetic flux concentrators. We used this sensor to remotely detect Nuclear Quadrupole Resonance …

Impacts Of Urban Renewal On Community Identity And Sense Of Place In Las Cruces, New Mexico, Savannah Lorraine Quintana-Eddins

Geography ETDs

Las Cruces is the second largest city in New Mexico which has experienced exponential growth in the last three decades. The city has been cultivated by a rich history of Native populations, Spanish colonialism, and American democratic government. The culmination of these influences on Las Cruces had much influence on the Mesquite Historic District, the original townsite of Las Cruces. This area is home to many generational families and is adjacent to the downtown Main Street corridor. Downtown was built from the destruction of the Mesquite Historic District caused by waves of urban renewal projects. Through organizing, legislative action and …

3d Speaker Geometry Inference From Digital Video Using 2d Projective Geometry, Sebastian Alonso Janampa Rojas

Electrical and Computer Engineering ETDs

The thesis discusses the need for a 3D world model reconstruction from raw video frames using 2D projective geometry. We propose a computer-aided approach to reconstructing a 3D speaker geometry from classroom videos of students learning Python.

The proposed method uses a transformer model to detect line candidates. Once the users identify lines corresponding to three orthogonal directions, the method computes the three vanishing points and the camera matrix. The method identifies the student’s mouths based on face landmark detection. After the estimates of the projections of the students’ mouths on the table are verified by the users, the proposed …

Understanding The Behavior Of Upper Subcritical Limit Calculations, Bobbi Riedel

Nuclear Engineering ETDs

This research consists of two comparison studies: the first study employed standard practices to characterize Upper Subcritical Limit (USL) estimation methods. A series of 33 neutronic systems that used standardized nuclear data and benchmark libraries were studied to compare the Whisper, TSURFER, and USLSTATS methods relative to a stochastic USL. USLs were also estimated for these 20 systems using the Whisper 1.1 code. Sensitivity data files were produced using MCNP6.2 and then used with the ORNL TSURFER and USLSTATS methods to estimate USLs for a cross-method USL comparison. The results show that USLs for each of the loosely coupled system …

Chance Constrained Stochastic Optimal Control Of Discrete Time Linear Stochastic Systems With Applications In Multi-Satellite Operations, Shawn Priore

Electrical and Computer Engineering ETDs

Stochastic disturbances arise in a variety of engineering applications. For tractability, Gaussian disturbances are often assumed. However, this may not always be valid, such as when a disturbance exhibits heavy-tailed or skewed phenomena. As autonomous systems become more ubiquitous, non-Gaussian disturbances will become more common due to the compounding effects of sensing, actuation, and external forces. Despite this, little has been done to develop formal methods that are both computationally efficient and allow for analytical assurances with non-Gaussian disturbances. Addressing convex polytopic set acquisition and non-convex collision avoidance chance constraints with quantile and moment-based reformulations, this dissertation proposes novel stochastic …

Data-Driven Stochastic Optimal Control Using Hilbert Space Embeddings Of Distributions, Adam J. Thorpe

Electrical and Computer Engineering ETDs

Autonomous systems are increasingly being deployed in complex environments subject to real-world uncertainty. For such systems, it may be exceptionally difficult or even impossible to compute a simple mathematical model of the system--for instance due to the presence of human elements, complex mechanics or system dynamics, or learning-enabled components. Data-driven control has recently gained significant attention in this area, where observations taken from the system evolution are used to compute an implicit representation of the system that is amenable to analysis and control. However, data-driven algorithms for control present new challenges, and require new insights to enable their use. The …

Long-Term Human Participation Detection Using A Dynamic Scene Analysis Model, Wenjing Shi

Electrical and Computer Engineering ETDs

The dissertation develops new methods for assessing student participation in long (>1 hour) classroom videos. First, the dissertation introduces the use of multiple image representations based on raw RGB images and AM-FM components to detect specific student groups. Second, a dynamic scene analysis model is developed for tracking under occlusion and variable camera angles. Third, a motion vector projection system identifies instances of students talking.

The proposed methods are validated using digital videos from the Advancing Out-of-school Learning in Mathematics and Engineering (AOLME) project. The proposed methods are shown to provide better group detection, and better talking detection at …

Effect Of Recorded Maternal Voice On Quantitative Eeg In The Preterm Newborn, Meghan Groghan, Kate Cavanagh, Dawn Novak, Aaron Cardon

2023 Pediatric Research Forum Session

Background: Despite continued advances in quality medical care for premature infants, neurodevelopmental delay remains one of the most common complications of prematurity. It is also known that early diagnosis and intervention for developmental delays leads to improved outcomes. More recently, quantitative electroencephalogram (qEEG) has shown potential as a prognostic tool for identifying delays in preterm infants but remains an underutilized assessment. Maternal voice exposure has positive effects on autonomic stability and feeding vigor/tolerance in preterm infants. This novel study aims to investigate the effects of recorded maternal voice on qEEG patterns in preterm neonates.

Methods: Prospective, randomized, placebo-controlled clinical trial …

Development Of Models For The Velocity-Pressure Gradient Correlations In Incompressible Wall-Bounded Planar Turbulent Flows Using Multiple Linear Regression, Juampablo E. Heras Rivera

Mechanical Engineering ETDs

In this thesis, the multiple linear regression method is applied to clarify terms and their coefficients in data-driven models for velocity/pressure-gradient (VPG) correlations in the Reynolds stress transport equations. Additionally, a method for developing universal linear models for the VPG correlations with unchanging coefficients when complex conditions arise in a flow is introduced. The generated models were assessed using residual analysis to ensure an appropriate level of accuracy. Data from direct numerical simulation in an incompressible fully-developed turbulent channel flow at Re_tau = 392 with an adverse pressure gradient is used in the study as the data source.

On The 3-Refined Neutrosophic Analytical Structures And Number Theoretical Concepts, Hamiyet Merkepci, Katy D. Ahmad

Neutrosophic Sets and Systems

No abstract provided.

On A Novel Security Scheme For The Encryption And Decryption Of 2×2 Fuzzy Matrices With Rational Entries Based On The Algebra Of Neutrosophic Integers And El-Gamal Crypto-System, Mohammad Abobala, Ali Allouf

Neutrosophic Sets and Systems

No abstract provided.

An Introduction To Symbolic 2-Plithogenic Modules Over Symbolic 2-Plithogenic Rings, Nader Mahmoud Taffach, Khadija Ben Othman

Neutrosophic Sets and Systems

No abstract provided.