Digital Commons Network^™

Time For A New Player In Business Analytics: An Mcdm Scheme Based On One-Dimensional Uncertain Linguistic Interval-Valued Neutrosophic Fuzzy Data, Adil Darvesh, Khalid Naeem, Syeda Mifzalah Bukhari, Manuel Sánchez-Chero, Gilder Cieza-Altamirano, Rafaél Artidoro Sandoval Núñez, Luis Antonio Pozo-Suclupe, Iván Pedro Coronado Zuloeta

Neutrosophic Sets and Systems

No abstract provided.

Novel Neutrosophic Objects Within Neutrosophic Topology (��(��), ��), Huda E. Khalid, Ramiz Sabbagh, Ahmed A. Salma, Thanoon Y. Thanoon, H. A. Elagamy

Neutrosophic Sets and Systems

No abstract provided.

On Neutrosophic N−Normed Linear Spaces, Vijay Kumar, Archana Sharma, Sajid Murtaza

Neutrosophic Sets and Systems

No abstract provided.

Solving Neutrosophic Zero-Sum Two-Person Matrix Game Using Mellin’S Transform, Gaurav Sharma, Sapan Kumar Das, Ganesh Kumar

Neutrosophic Sets and Systems

No abstract provided.

An Enhanced Generalized Neutrosophic Number And Its Role In Multi-Criteria Decision-Making Challenges, Sumathi I. R, Augus Kurian, Parvathy K

Neutrosophic Sets and Systems

No abstract provided.

Text Analysis Using Morphological Operations On A Neutrosophic Text Hypergraph, Dhanya Pm, Ramkumar P. B

Neutrosophic Sets and Systems

No abstract provided.

Pentapartitioned Neutrosophic Fuzzy Optimization Method For Multi-Objective Reliability Optimization Problem, Swarup Jana, Sahidul Islam

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Structure Of The Geometric Model With Applications, Ahmedia Musa M. Ibrahim, Fuad S. Alduais

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Hybrid Structures And Neutrosophic Hybrid Matrices, Punniyamoorthy K, Vijayabalaji S, Raghavendra Rao A V, Belide Shashidhar

Neutrosophic Sets and Systems

No abstract provided.

Some Weaker Forms Of Bipolar Neutrosophic Nano * Open Sets, G. Gincy, Wadei Faris Al Omeri, C. Janaki

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Algebraic Mathematical Morphology, A. A. Salama, Hewayda Elghawalby, Huda E. Khalid, Ahmed K. Essa, Ahmed A. Mohammed

Neutrosophic Sets and Systems

No abstract provided.

Multi-Attribute Group Decision-Making Based On Aggregation Operator And Score Function Of Bipolar Neutrosophic Hypersoft Environment, Faisal Al-Sharqi, Ashraf Al-Quran, Zahari Md. Rodzi

Neutrosophic Sets and Systems

No abstract provided.

Waste To Energy Treatment For India Using Critic-Waspas Method Under Interval-Valued Pythagorean Neutrosophic Fuzzy Set, R.Narmada Devi, S. Sowmiya, R. Sundareswaran, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Some Remarks On ∆M-Ces`Aro Summability In Neutrosophic Normed Spaces, Vijay Kumar, Archana Sharma, Meenakshi Chawla

Neutrosophic Sets and Systems

No abstract provided.

Solving Neutrosophic Fuzzy Transportation Problem Of Type-Ii, V. Hemalatha, M. Mullai Mullai, P. K. Santhi, R. Meenakshi

Neutrosophic Sets and Systems

No abstract provided.

Harnessing Tree Soft Set And Soft Computing Techniques' Capabilities In Bioinformatics: Analysis, Improvements, And Applications, Mona Gharib, Fatima Rajab, Mona Mohamed

Neutrosophic Sets and Systems

No abstract provided.

The Multialist System Of Thought, Florentin Smarandache

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 61,2023, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Dryland Vegetation Mapping Using High Spatial-Temporal Resolution Satellite Imagery In New Mexico: A Comparison Of Phenological Time-Series Transformation Methods, Pratistha Sharma

Geography ETDs

New Mexico's drylands are undergoing notable vegetation changes due to rising aridity, higher temperatures, and shifts in precipitation with changing climate. Mapping drylands through remote sensing is challenging compared to mesic systems due to the irregular patterns of rainfall-driven phenology and weaker vegetation absorption signals. This study aims to enhance vegetation mapping in New Mexico, utilizing a high-resolution, frequently revisited PlanetScope dataset with multispectral capabilities, specifically chosen for its suitability for time-series analysis. The challenge with high spatial and temporal data lies in the overwhelming volume, leading to issues like the curse of dimensionality, overfitting, data redundancy, collinearity, and visualization …

Radio Insights Into Gamma-Ray Mysteries, Seth M. Bruzewski

Physics & Astronomy ETDs

In the time since its launch, the \textit{Fermi Gamma-Ray Space Telescope} has provided new and unparalleled views of the $\gamma$-ray sky, dramatically increasing our understanding of sources of high-energy radiation. During that same time, however, its ``unassociated'' sources have provided a consistent mystery: approximately one third of the modern gamma-ray sky remains completely unaccounted for in other electromagnetic regimes. While some of the fainter sources simply pose challenges in achieving the necessary signal-to-noise ratio, others are well constrained and have resisted traditional investigations for years, and in some cases, for over a decade. Radio astronomy has traditionally been the best …

Neurobehavioral And Eeg Characteristics In Latino Targets Of Bullying, Isabel Solis

Psychology ETDs

Bullying adversely impacts the well-being and development of youth, calling for a comprehensive understanding of its neurobehavioral and social mechanisms for targeted interventions. Despite the increasing demographic of Latino children, little is known about their early life experiences and individual traits that leave them susceptible to becoming targets of bullying. The present study utilized a mixed-methods design to address this gap, incorporating interviews, neuropsychological assessments, and resting-state EEG (rsEEG) spectral power within the alpha (8-13Hz) and theta (4-7Hz) frequency bands. The aim was to compare the cognitive, emotional, social, and neural characteristics of nine Latino Targets (LT) of bullying and …

Volumetric Imaging Using The Pupil-Matched Remote Focusing Technique In Light-Sheet Microscopy, Sayed Hassan Dibaji Foroushani

Optical Science and Engineering ETDs

ABSTRACT

The dissertation explores innovative techniques in light sheet microscopy, a pivotal tool in biomedical imaging, to enhance its speed, resolution, and efficiency in capturing dynamic biological processes. Light sheet microscopy allows for quick 3D imaging of biological specimens ranging from cells to organs with high spatiotemporal resolution, large field-of-view, and minimal damage, making it vital for in vivo imaging.

The first project introduces a novel optical concept designed to optimize Axially Swept Light Sheet Microscopy (ASLM). This technique is crucial for imaging specimens ranging from live cells to chemically cleared organs due to its versatility across different immersion media. …

Bitcoin Price Modeling Using Machine Learning Algorithms, Azadeh Golduzian

Mathematics & Statistics ETDs

Forecasting in financial markets with various technologies is critical nowadays. The Bitcoin cryptocurrency has grown in popularity in recent years, and as a result, many people all around the world have attempted to forecast its price. To improve forecast accuracy, we must employ multiple types of data and diverse approaches. This thesis combines textual and financial data and employs statistical methods and machine learning to forecast Bitcoin's price as precisely as possible. We show the performance of each strategy using Bitcoin data at the end of each chapter.

Quantifying The Influences Of Abiotic And Biotic Factors On Post-Fire Vegetation In The Southwestern Us, Joseph Lafayette Crockett

Biology ETDs

The ongoing warming associated with climate change is increasing the flammability of southwestern US dry forests. As larger fractions of the landscape are impacted by high-severity fire, the potential exists for forests to convert to non-forest. Given that the forested area in the southwestern US is an important contributor of ecosystem services, quantifying limitations to vegetation establishment is critical to informing post-fire recovery efforts and understanding how ongoing climate change will limit seedling establishment in the future. To that end, this dissertation focuses on post-fire vegetation recovery of southwestern forests. First, I report on the influence of precipitation and topography …

Environmental Fate Of Sulfur In Sulphur Creek, Valles Caldera, Nm: Implications For Metal Transport And Water Quality, Daniel Lavery

Earth and Planetary Sciences ETDs

The 1.2 Ma Valles Caldera in north-central New Mexico hosts a young igneous volcanic hydrothermal system after the model proposed in Goff and Janik (2000). The Sulphur Springs area within Valles Caldera is an acid-sulfate area typical of this model, discharging acidic waters (pH 1.5-3) formed by oxidation of magmatic H₂S at the surface. We report on samples obtained from springs and streams collected between October 2021 and May 2023 in the Sulphur Creek and Alamo watersheds. Sulphur Creek receives input from Sulphur Springs and exhibits low pH (2-4) and high concentrations of Al (≤110 mg/L), Fe (≤60 …

Screw Dislocations In A Holed Wedge, Gregory T. Whiteside

Mechanical Engineering ETDs

A numerical code has been designed and implemented to find the stress at any material point in a holed-wedge material due to any number of crystal or real screw dislocations in the wedge. The code implements the image dislocation method together with the collocation point method to find stresses at any material point. We demonstrate that the combined analytical-numerical method (analytical with the image dislocations and numerical with the collocation-point method) is valid in that it produces stress fields giving rise to zero traction on free surfaces as well at an arbitrary number of collocation points on void surfaces. Additionally, …

Smart Applications And Resource Management In Internet Of Things, Zeinab Akhavan

Computer Science ETDs

Internet of Things (IoT) technologies are currently the principal solutions driving smart cities. These new technologies such as Cyber Physical Systems, 5G and data analytic have emerged to address various cities' infrastructure issues ranging from transportation and energy management to healthcare systems. An IoT setting primarily consists of a wide range of users and devices as a massive network interacting with different layers of the city infrastructure resulting in generating sheer volume of data to enable smart city services. The goal of smart city services is to create value for the entire ecosystem, whether this is health, education, transportation, energy, …

Aerodynamic Dimpling For The Nose Cone Of A High-Power Competition Rocket, Graham Geoffrey Monroe

Mechanical Engineering ETDs

This thesis investigates nose cone dimpling for the reduction of the aerodynamic drag of a Level 3 High-Power amateur rocket. Two rocket launches were conducted. The first used a COTS nose cone with a smooth surface. A dimple distribution was created according to dimensions calculated by Sandia National Laboratories’ proprietary Right- Size Dimple Evaluator. A dimpled nose cone, designed with geometry matching the COTS component, was 3D printed. Axial acceleration and barometric pressure data, recorded by an onboard flight computer, were used to calculate and plot the drag coefficient as a function of the Reynolds number for the smooth and …

Physical Properties Of Copper Niobium Nanolamellar Composites Fabricated By Accumulative Roll Bonding, Jared Justice

Nuclear Engineering ETDs

Nanolamellar composites with high interface density have increased strength due to interfaces serving as barriers to dislocation movement and high radiation damage resistance. However, these interfaces also serve as barriers to electron motion, reducing the electrical resistivity and thermal conductivity. This work seeks to understand the inherent tradeoff between strength and physical properties of nanolamellar composites produced by accumulative roll bonding with layer thickness ranging from 25 nm to 193 nm. The electrical resistivity was investigated over temperatures ranging from 2 K to 300 K. The effect of longitudinal rolling and cross rolling was also investigated. Electrical resistivity results were …

Roadside Lidar Data Processing For Intelligent Transportation System, Md Parvez Mollah

Computer Science ETDs

Roadside LiDAR (Light Detection and Ranging) sensors are recently being explored for Intelligent Transportation System aiming at safer and faster traffic management and vehicular operations. However, massive data volume, occlusion, and limited viewing angles are significant obstacles to the widespread use of roadside LiDARs. In this dissertation, we address three major challenges to enable applications of Intelligent Transportation System through roadside LiDAR data: (i) real-time transmission of the massive point-cloud data from the roadside LiDAR devices to the cloud using 5G network, (ii) mitigating sensor occlusion problem to increase coverage and detect events occurred in occluded regions of a sensor, …