Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 6571 - 6600 of 302420

Full-Text Articles in Physical Sciences and Mathematics

Identifying Nutrient Dynamics And Relative Groundwater Contribution In Wetlands At Fish Lake Environmental Center, Lapeer Mi, Rose Allen Jan 2024

Identifying Nutrient Dynamics And Relative Groundwater Contribution In Wetlands At Fish Lake Environmental Center, Lapeer Mi, Rose Allen

Senior Honors Theses and Projects

Wetlands are complex ecosystems that are dependent on hydrologic processes and water chemistry. Understanding the role that water chemistry and nutrients play in wetland ecosystems is crucial to wetland management and restoration. The Fish Lake Environmental Education Center near Lapeer Michigan, is glacially influenced, and contains a large bog. Between the bog and lake there are multiple kettles that contain ephemeral wetlands in the spring. Bogs are primarily precipitation sourced, whereas the kettle wetlands may be a combination of precipitation and groundwater sourced. Previous studies indicated that groundwater flow direction is towards Fish Lake, but it was unclear to what …


Weed Seed Wizard Scenario - Herbicide Resistance In Wild Oats In Wagga Wagga, New South Wales, Department Of Primary Industries And Regional Development, Western Australia Jan 2024

Weed Seed Wizard Scenario - Herbicide Resistance In Wild Oats In Wagga Wagga, New South Wales, Department Of Primary Industries And Regional Development, Western Australia

Biosecurity research reports

The Weed Seed Wizard is a national collaborative project that uses paddock management information to predict weed emergence and crop losses now and in the future.

The Weed Seed Wizard is a computer simulation tool that:

  • applies to all Australian grain growing areas
  • helps growers understand and manage weed seedbanks on their farms
  • uses farm management records to simulate how different crop rotations, weed control techniques, irrigation, grazing and harvest management tactics can affect weed numbers, the weed seedbank and yields
  • uses farm-specific management and site-specific weather
  • is multi-species

See www.dpird.wa.gov.au for further information on Weed Seed Wizard.

This New …


Weed Seed Wizard Scenario - Herbicide Resistance In Wild Radish In Moora, Western Australia, Department Of Primary Industries And Regional Development, Western Australia Jan 2024

Weed Seed Wizard Scenario - Herbicide Resistance In Wild Radish In Moora, Western Australia, Department Of Primary Industries And Regional Development, Western Australia

Biosecurity research reports

The Weed Seed Wizard is a national collaborative project that uses paddock management information to predict weed emergence and crop losses now and in the future.

The Weed Seed Wizard is a computer simulation tool that:

  • applies to all Australian grain growing areas
  • helps growers understand and manage weed seedbanks on their farms
  • uses farm management records to simulate how different crop rotations, weed control techniques, irrigation, grazing and harvest management tactics can affect weed numbers, the weed seedbank and yields
  • uses farm-specific management and site-specific weather
  • is multi-species

See www.dpird.wa.gov.au for further information on Weed Seed Wizard.

This Western …


Weed Seed Wizard Scenario - Glyphosate Resistance In Barnyard Grass In Goondiwindi, Queensland, Department Of Primary Industries And Regional Development, Western Australia Jan 2024

Weed Seed Wizard Scenario - Glyphosate Resistance In Barnyard Grass In Goondiwindi, Queensland, Department Of Primary Industries And Regional Development, Western Australia

Biosecurity research reports

The Weed Seed Wizard is a national collaborative project that uses paddock management information to predict weed emergence and crop losses now and in the future.

The Weed Seed Wizard is a computer simulation tool that:

  • applies to all Australian grain growing areas
  • helps growers understand and manage weed seedbanks on their farms
  • uses farm management records to simulate how different crop rotations, weed control techniques, irrigation, grazing and harvest management tactics can affect weed numbers, the weed seedbank and yields
  • uses farm-specific management and site-specific weather
  • is multi-species

See www.dpird.wa.gov.au for further information on Weed Seed Wizard.

This Queensland …


Life Cycle Progression Of Chlainomonas Sp.: A Field Study, Honu Pata, Robin Kodner, Ag Camara, Clare Hanneman, Maya Matsumoto, Dan Van Hees Jan 2024

Life Cycle Progression Of Chlainomonas Sp.: A Field Study, Honu Pata, Robin Kodner, Ag Camara, Clare Hanneman, Maya Matsumoto, Dan Van Hees

WWU Honors College Senior Projects

Every year, there are blooms of algae in snowy alpine environments during the summer snow melts. One environment in particular, the snow-on-lake habitat on Bagley Lake in Mt Baker, has been the subject of study by the Kodner lab for many years. In this habitat, we find the genus Chlainomonas which has bloomed in late spring and early summer annually. Our lab has proposed a life cycle for the genus (Matsumoto et al 2024), and there are many morphologically distinct cell stages found in field collected samples. This study has expanded our understanding the life cycle dynamics by examining the …


Project Final Report Watershed Plan For Crafts Colly, Sand Lick, And Dry Fork, Kentucky Water Resources Research Institute Jan 2024

Project Final Report Watershed Plan For Crafts Colly, Sand Lick, And Dry Fork, Kentucky Water Resources Research Institute

KWRRI Research Reports

The North Fork: Whitesburg Tributaries Watershed Plan, developed under this project, provides a path to improve waterbodies impacted by poor wastewater treatment, coal mining, and encroachments on floodplain by housing and roadways. Crafts Colly, Sand Lick, and Dry Fork are tributaries to the North Fork of the Kentucky River. They are located just north of the City of Whitesburg, in Letcher County, which is in the coalfields of southeastern Kentucky. The three watersheds encompass 18 square miles of primarily forested lands and about 30 miles of streams, most of which are entrenched. Because of the steep mountain terrain, most of …


Project Final Report Watershed Center Of Excellence, Kentucky Water Resources Research Institute Jan 2024

Project Final Report Watershed Center Of Excellence, Kentucky Water Resources Research Institute

KWRRI Research Reports

With the goal of providing a structured foundational background for watershed management to Kentucky’s watershed coordinators and other water quality professionals, the Kentucky Water Resources Research Institute developed the Kentucky Watershed Academy, a six-module series of core training content. The modules address the following subject areas:

• Module 1: The Clean Water Act & Related Water Quality Laws

• Module 2: Water Quality Basics

• Module 3: Dealing with Data

• Module 4: Land Use Impacts & Related Best Management Practices

• Module 5: Likely Partners

• Module 6: Effective Communications

As a result of this project, a total of …


Design, Synthesis, And Characterization Of Complex Chalcogenides For Energy Storage And Energy Conversion Applications, Srikanth Balijapelly Jan 2024

Design, Synthesis, And Characterization Of Complex Chalcogenides For Energy Storage And Energy Conversion Applications, Srikanth Balijapelly

Doctoral Dissertations

"Through this investigation, complex chalcogenides with the combination of main group metals, transition metals, and rare earth metals have been synthesized using the building block approach and their structure-property relationships are evaluated. The main emphasis of research is on rationally designing new materials for applications in sodium and lithium ion conducting solid electrolytes, cathodes, thermoelectrics, and nonlinear optics. Along with the experimental studies, theoretical calculations are also employed to better understand the physicochemical properties of the synthesized compounds.

The first part of the research will discuss designing alkali ion containing complex chalcogenides using the building block approach. This investigation resulted …


Extracting Social Network Model Parameters From Social Science Literature, Isaac Batts Jan 2024

Extracting Social Network Model Parameters From Social Science Literature, Isaac Batts

Theses and Dissertations--Computer Science

When looking at computer modeling of social situations, much of the social science literature does not include ready-to-use statistics or parameters to be included in a social model. I explore studies related to speaking about racism (and other forms of bias), and interventions designed to diminish the occurrence of biased behavior, and use those readings to synthesize plausible parameters for a social computer model.


Improved Binary Differential Evolution With Dimensionality Reduction Mechanism And Binary Stochastic Search For Feature Selection, Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Leyla Aghaei, Seyedali Mirjalili, Abbas Khosravi, Salvador García, Fakhri Karray, U. Rajendra Acharya Jan 2024

Improved Binary Differential Evolution With Dimensionality Reduction Mechanism And Binary Stochastic Search For Feature Selection, Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Leyla Aghaei, Seyedali Mirjalili, Abbas Khosravi, Salvador García, Fakhri Karray, U. Rajendra Acharya

Machine Learning Faculty Publications

Computer systems store massive amounts of data with numerous features, leading to the need to extract the most important features for better classification in a wide variety of applications. Poor performance of various machine learning algorithms may be caused by unimportant features that increase the time and memory required to build a classifier. Feature selection (FS) is one of the efficient approaches to reducing the unimportant features. This paper, therefore, presents a new FS, named BDE-BSS-DR, that utilizes Binary Differential Evolution (BDE), Binary Stochastic Search (BSS) algorithm, and Dimensionality Reduction (DR) mechanism. The BSS algorithm increases the search capability of …


Post Developmental Mathematics: Experiences In College Algebra For Stem Students, Maria Cruciani Jan 2024

Post Developmental Mathematics: Experiences In College Algebra For Stem Students, Maria Cruciani

Undergraduate Research

Students majoring in a STEM discipline whose sequence of collegiate mathematics begins at the developmental level follow a unique progression towards degree completion. With an elongated sequence of mathematics courses, these students have already had exposure to collegiate mathematics when enrolling in a college algebra course. A structured multiple case study provided a context for understanding students’ perceptions about how their developmental mathematics experiences may have influenced their experiences in college algebra. Qualitative data was gathered through interviews with three students who are majoring in a STEM field of study. The selected students had similar quantitative literacy expectations for their …


Iowa Waste Reduction Center Newsletter, January 2024, University Of Northern Iowa. Iowa Waste Reduction Center. Jan 2024

Iowa Waste Reduction Center Newsletter, January 2024, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

In this issue:

--- MSEI Season is Underway for Western Iowa
--- January 31, 2024 Reporting Deadlines: Grain Facility PM10 PTE
--- January 31, 2024 Reporting Deadlines: 6X Certification and Compliance Report
--- First Cidery Certified Gold by the IGBC
--- IWRC's Jennifer Trent Named President of USCC
--- UNI's Economics of Sustainability Class Teams Up with STAR4D for Impact
--- Industry News


Scene Understanding And Spatial Analysis Using Scene Graph Enhanced By Hall's Proxemics Zones In Smart Homes, Debaleen Das Spandan Jan 2024

Scene Understanding And Spatial Analysis Using Scene Graph Enhanced By Hall's Proxemics Zones In Smart Homes, Debaleen Das Spandan

MSU Graduate Theses

Voice-controlled smart assistants have received widespread popularity. It plays a pivotal role in smart homes by providing a natural and convenient interface for interacting with smart devices. However, these assistants are unable to serve persons with physical disabilities and speech impairments. Therefore, non-verbal communication methods, such as eye tracking, gesture recognition, and context awareness can complement and overcome some of these limitations to enhance user experience in smart homes. To address this issue, I am investigating non-verbal communication methods to make smart home technology more accessible and intuitive. In this research, I focus on proxemics, i.e., the study of distance …


Photoluminescence Of Beryllium-Related Defects In Gallium Nitride, Mykhailo Vorobiov, Mykhailo Vorobiov Jan 2024

Photoluminescence Of Beryllium-Related Defects In Gallium Nitride, Mykhailo Vorobiov, Mykhailo Vorobiov

Theses and Dissertations

This study explores the potential of beryllium (Be) as an alternative dopant to magnesium (Mg) for achieving higher hole concentrations in gallium nitride (GaN). Despite Mg prominence as an acceptor in optoelectronic and high-power devices, its deep acceptor level at 0.22 eV above the valence band limits its effectiveness. By examining Be, this research aims to pave the way to overcoming these limitations and extend the findings to aluminum nitride and aluminum gallium nitride (AlGaN) alloy. Key contributions of this work include. i)Identification of three Be-related luminescence bands in GaN through photoluminescence spectroscopy, improving the understanding needed for further material …


Full Issue Jan 2024

Full Issue

Journal of Mathematics and Science: Collaborative Explorations

No abstract provided.


Reconciling Calculus Students’ Understanding Of Average Across Multiple Contexts, Franklin Yu Jan 2024

Reconciling Calculus Students’ Understanding Of Average Across Multiple Contexts, Franklin Yu

Journal of Mathematics and Science: Collaborative Explorations

The idea of average is utilized in a variety of scenarios, yet the literature has indicated that students have multiple disconnected understandings for the concept of average. In this study, I provide an account of two students who reconciled their meanings for average by considering an average as a replacement with a constant value. This report discusses an intervention that teachers can leverage to help their students make their meanings for average coherent and conceptually based.


Seven Properties Of Highly Effective Problems, Thomas Ales, Kevin Peterson, Constantine Roussos Jan 2024

Seven Properties Of Highly Effective Problems, Thomas Ales, Kevin Peterson, Constantine Roussos

Journal of Mathematics and Science: Collaborative Explorations

In an effort to provide more critical thinking opportunities in their courses, instructors are embracing the power of problem- and project-based learning (PBL). In this paper we address the importance of problem quality when utilizing PBL. We list seven important properties that a high-quality problem should have. We conclude with an example of a problem that possesses all seven properties.


Two Decades Of Supporting Excellence In Stem Through Programs That Work: A History Of High-Quality Stem Programming In The Commonwealth Of Virginia, Bill Haver, Deborah Neely-Fisher Jan 2024

Two Decades Of Supporting Excellence In Stem Through Programs That Work: A History Of High-Quality Stem Programming In The Commonwealth Of Virginia, Bill Haver, Deborah Neely-Fisher

Journal of Mathematics and Science: Collaborative Explorations

The Virginia Mathematics and Science Coalition annually recognizes effective science, technology, engineering, and mathematics (STEM) programs. The leaders of these Programs That Work receive recognition and others gain ideas to incorporate into their STEM programs. Programs That Work was initiated in March 2000 as a part of a statewide conference designed to better understand effective strategies to increase the success of women, minorities and members of other groups who had been underrepresented in STEM. Programs That Work has since expanded to include effective STEM programming for all students and teachers at all levels by recognizing school systems, colleges and universities …


Edge Colored And Edge Ordered Graphs, Per Gustin Wagenius Jan 2024

Edge Colored And Edge Ordered Graphs, Per Gustin Wagenius

Graduate College Dissertations and Theses

In this work, the current state of the field of edge-colored graphs is surveyed. Anew concept of unshrinkable edge colorings is introduced which is useful for rainbow subgraph problems and interesting in its own right. This concept is analyzed in some depth. Building upon the linear edge ordering described in a recent work from Gerbner, Methuku, Nagy, Pálvölgyi, Tardos, and Vizer, edge-ordering graphs with the cyclic group is introduced and some results are given on this and a related counting problem.


Shedding Light On Software Engineering-Specific Metaphors And Idioms, Mia Mohammad Imran, Preetha Chatterjee, Kostadin Damevski Jan 2024

Shedding Light On Software Engineering-Specific Metaphors And Idioms, Mia Mohammad Imran, Preetha Chatterjee, Kostadin Damevski

Computer Science Faculty Research & Creative Works

Use of figurative language, such as metaphors and idioms, is common in our daily-life communications, and it can also be found in Software Engineering (SE) channels, such as comments on GitHub. Automatically interpreting figurative language is a challenging task, even with modern Large Language Models (LLMs), as it often involves subtle nuances. This is particularly true in the SE domain, where figurative language is frequently used to convey technical concepts, often bearing developer affect (e.g., 'spaghetti code). Surprisingly, there is a lack of studies on how figurative language in SE communications impacts the performance of automatic tools that focus on …


Trusted Digital Twin Network For Intelligent Vehicles, Asad Malik, Ayan Roy, Sanjay Madria Jan 2024

Trusted Digital Twin Network For Intelligent Vehicles, Asad Malik, Ayan Roy, Sanjay Madria

Computer Science Faculty Research & Creative Works

Vehicle-to-vehicle (V2V) infrastructure facilitates wireless communication among vehicles within close proximity. This allows sharing of contextual information such as speed, location, direction, traffic, route closures, human behavior mental conditions to improve traffic flow, reduce collisions, and enhance safety on the road. However, the assumption of honest peers along with the over-reliability on the information shared in the network can pose a serious threat to human safety. A digital twin is a concept that enables a system to develop a virtual environment that mimics the real-life scenario for any situation. The availability of powerful computing equipment inside vehicles can be leveraged …


Managing Inventory With A Database, David Bartlett Jan 2024

Managing Inventory With A Database, David Bartlett

Williams Honors College, Honors Research Projects

Large commercial companies often use warehouses to store and organize their product inventory. However, manually keeping track of inventory through physical means can be a tedious process and is at risk for a variety of potential issues. It is very easy for records to be inaccurate or duplicated, especially if large reorganizations are undertaken, as this can cause issues such as duplicate product ID numbers. Therefore, it was decided that an inventory management system utilizing a SQL database should be created. The system needed to have capabilities including allowing the entry of product information, the ability to search database records …


Classification Models Using Python In Industrial/Organizational Psychology, Beyza Ceylan Jan 2024

Classification Models Using Python In Industrial/Organizational Psychology, Beyza Ceylan

Williams Honors College, Honors Research Projects

Companies, industries, and places of business use artificial intelligence and statistics to predict the characteristics of their employees and staff. Data collected from these individuals is also used to make decisions about them regarding their work life, such as promotions, salaries, or within the hiring process. Two models that are commonly used throughout the field of psychology and specifically in industrial/organizational psychology are the linear regression and the logistic regression. Examining different classification models using Python shows the potential that there may be different models that are more accurate in their predictions of employee success, including a Random Forest model …


A Comparative Study Of Cationic Copper(I) Reagents Supported By Bipodal Tetramethylguanidinyl-Containing Ligands As Nitrene-Transfer Catalysts, Suraj Kumar Sahoo, Brent Harfmann, Himanshu Bhatia, Harish Singh, Srikanth Balijapelly, Amitava Choudhury, Pericles Stavropoulos Jan 2024

A Comparative Study Of Cationic Copper(I) Reagents Supported By Bipodal Tetramethylguanidinyl-Containing Ligands As Nitrene-Transfer Catalysts, Suraj Kumar Sahoo, Brent Harfmann, Himanshu Bhatia, Harish Singh, Srikanth Balijapelly, Amitava Choudhury, Pericles Stavropoulos

Chemistry Faculty Research & Creative Works

The Bipodal Compounds [(TMG2biphenN-R)CuI-NCMe](PF6) (R = Me, Ar (4-CF3Ph-)) And [(TMG2biphenN-Me)CuI-I] Have Been Synthesized With Ligands That Feature A Diarylmethyl- And Triaryl-Amine Framework And Superbasic Tetramethylguanidinyl Residues (TMG). The Cationic Cu(I) Sites Mediate Catalytic Nitrene-Transfer Reactions Between The Imidoiodinane PhI = NTs (Ts = Tosyl) And A Panel Of Styrenes In MeCN, To Afford Aziridines, Demonstrating Comparable Reactivity Profiles. The Copper Reagents Have Been Further Explored To Execute C-H Amination Reactions With A Variety Of Aliphatic And Aromatic Hydrocarbons And Two Distinct Nitrene Sources PhI = NTs And PhI = NTces (Tces = 2,2,2-Trichloroethylsulfamate) In Benzene/HFIP (10:2 V/v). Good Yields …


Dna Origami-Assisted Regioselective Organization Of Anisotropic Gold Nanotriangle Clusters, Wenyan Liu, Prashant Gupta, Yuwei Zhang, Krishna Thapa, Srikanth Singamaneni, Risheng Wang Jan 2024

Dna Origami-Assisted Regioselective Organization Of Anisotropic Gold Nanotriangle Clusters, Wenyan Liu, Prashant Gupta, Yuwei Zhang, Krishna Thapa, Srikanth Singamaneni, Risheng Wang

Chemistry Faculty Research & Creative Works

The manipulation of anisotropic nanoparticles, such as gold nanorods and nano prisms, has attracted great attention in nanotechnology due to their sensitive geometry-dependent properties. However. traditional synthesis and assembly methods for these particles face challenges in size uniformity and higher-order structuring. To address these limitations, this study presents a strategy using DNA origami triangles, not just as templates, but as encapsulating agents for gold nanotriangles (AuNTs). This method enables the construction of diverse nanoparticle clusters with precisely controlled distance and orientation. The formed clusters exhibit unique optical characteristics, demonstrated by UV-visible spectroscopy and supported by finite-difference time domain (FDTD) simulations. …


Mobility Management In Tsch-Based Industrial Wireless Networks, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi Jan 2024

Mobility Management In Tsch-Based Industrial Wireless Networks, Marco Pettorali, Francesca Righetti, Carlo Vallati, Sajal K. Das, Giuseppe Anastasi

Computer Science Faculty Research & Creative Works

Wireless Sensor and Actuator Networks (WSANs) are an effective technology for improving the efficiency and productivity in many industrial domains and are also the building blocks for the Industrial Internet of Things (IIoT). To support this trend, the IEEE has defined the 802.5.4 Time-Slotted Channel Hopping (TSCH) protocol. Unfortunately, TSCH does not provide any mechanism to manage node mobility, while many current industrial applications involve Mobile Nodes (MNs), e.g., mobile robots or wearable devices carried by workers. In this article, we present a framework to efficiently manage mobility in TSCH networks, by proposing an enhanced version of the Synchronized Single-hop …


Undeniable Authentication Of Digital Twin-Managed Smart Microfactory, Anusha Vangala, Ashok Kumar Das, Sajal K. Das Jan 2024

Undeniable Authentication Of Digital Twin-Managed Smart Microfactory, Anusha Vangala, Ashok Kumar Das, Sajal K. Das

Computer Science Faculty Research & Creative Works

Smart Microfactories Use Additive Manufacturing to Create Products with Mixed Materials and Variable Sizes. Digital Twin Technology Enhances Control of the Additive Manufacturing Equipment in These Factories, Increasing Productivity and Minimizing Errors. the Digital Twins Communicate with the Machines to Furnish Sensitive Data and Instructions, Which Must Be Protected from Tampering. Authentication Rescues the Digital and Physical Twins from Menacing Attacks Such as Privileged Insider, Impersonation, Ephemeral Secret Leakage (ESL) and Man-In-The-Middle (MiTM) Attacks. to This End, We Propose Lightweight Authentication among the Digital and Physical Twins with the Undeniability of Issued Commands and Deniable Key Agreement. It Achieves Perfect …


Disseminating Over-The-Air Updates Via Intelligent Labeling In Multi-Tier Networks, Atefeh Asayesh, Asad Waqar Malik, Sajal K. Das Jan 2024

Disseminating Over-The-Air Updates Via Intelligent Labeling In Multi-Tier Networks, Atefeh Asayesh, Asad Waqar Malik, Sajal K. Das

Computer Science Faculty Research & Creative Works

Connected Vehicles Rely on Sophisticated Software Systems for Diverse Features, Including Navigation, Entertainment, Communication, and Safety Functions. as Technology Continues to Advance, the Reliance on Software in Connected Vehicles Becomes Increasingly Integral to their overall Performance and the Delivery of Innovative Features. Therefore, in the Domain of Software-Enabled Automobiles, the Implementation of over-The-Air (OTA) Software Updates is Deemed Essential for the Dissemination of Software and Fixes in Connected Vehicles. the Conventional Method of Addressing This Matter Entailed Manufacturers Undertaking the Task of Recalling Outdated Vehicles; However, the Central Issue Lies in the Considerable Challenge of Effectively Notifying Owners through Recall …


Adaptive Resilient Control For A Class Of Nonlinear Distributed Parameter Systems With Actuator Faults, Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan Jan 2024

Adaptive Resilient Control For A Class Of Nonlinear Distributed Parameter Systems With Actuator Faults, Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a new model-based fault resilient control scheme for a class of nonlinear distributed parameter systems (DPS) represented by parabolic partial differential equations (PDE) in the presence of actuator faults. A Luenberger-like observer on the basis of nonlinear PDE representation of DPS is developed with boundary measurements. A detection residual is generated by taking the difference between the measured output of the DPS and the estimated one given by the observer. Once a fault is detected, an unknown actuator fault parameter vector together with a known basis function is utilized to adaptively estimate the fault dynamics. A novel …


Meta-Icvi: Ensemble Validity Metrics For Concise Labeling Of Correct, Under- Or Over-Partitioning In Streaming Clustering, Niklas M. Melton, Sasha A. Petrenko, Donald C. Wunsch Jan 2024

Meta-Icvi: Ensemble Validity Metrics For Concise Labeling Of Correct, Under- Or Over-Partitioning In Streaming Clustering, Niklas M. Melton, Sasha A. Petrenko, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

Understanding the performance and validity of clustering algorithms is both challenging and crucial, particularly when clustering must be done online. Until recently, most validation methods have relied on batch calculation and have required considerable human expertise in their interpretation. Improving real-time performance and interpretability of cluster validation, therefore, continues to be an important theme in unsupervised learning. Building upon previous work on incremental cluster validity indices (iCVIs), this paper introduces the Meta- iCVI as a tool for explainable and concise labeling of partition quality in online clustering. Leveraging a time-series classifier and data-fusion techniques, the Meta- iCVI combines the outputs …