Adaptable And Trustworthy Machine Learning For Human Activity Recognition From Bioelectric Signals, 2024 Virginia Commonwealth University
Adaptable And Trustworthy Machine Learning For Human Activity Recognition From Bioelectric Signals, Morgan S. Stuart
Theses and Dissertations
Enabling machines to learn measures of human activity from bioelectric signals has many applications in human-machine interaction and healthcare. However, labeled activity recognition datasets are costly to collect and highly varied, which challenges machine learning techniques that rely on large datasets. Furthermore, activity recognition in practice needs to account for user trust - models are motivated to enable interpretability, usability, and information privacy. The objective of this dissertation is to improve adaptability and trustworthiness of machine learning models for human activity recognition from bioelectric signals. We improve adaptability by developing pretraining techniques that initialize models for later specialization to unseen …
Weed Seed Wizard Scenario - Herbicide Resistance In Wild Oats In Wagga Wagga, New South Wales, 2024 Department of Primary Industries and Regional Development, Western Australia
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 - Dormancy Shift In Barley Grass In Balaklava, South Australia, 2024 Department of Primary Industries and Regional Development, Western Australia
Weed Seed Wizard Scenario - Dormancy Shift In Barley Grass In Balaklava, South 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 South …
Weed Seed Wizard Case Study - Grower From Western Australia’S Central Wheatbelt, 2024 Department of Primary Industries and Regional Development, Western Australia
Weed Seed Wizard Case Study - Grower From Western Australia’S Central Wheatbelt, 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 case …
Weed Seed Wizard Case Study - An Early Harvest Versus A Late Harvest, 2024 Department of Primary Industries and Regional Development, Western Australia
Weed Seed Wizard Case Study - An Early Harvest Versus A Late Harvest, 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 case …
Weed Seed Wizard Case Study - Don't Stop Harvest Weed Management Because It’S A Dry Year, 2024 Department of Primary Industries and Regional Development, Western Australia
Weed Seed Wizard Case Study - Don't Stop Harvest Weed Management Because It’S A Dry Year, 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 case …
Weed Seed Wizard Scenario - Herbicide Resistance In Wild Radish In Moora, Western Australia, 2024 Department of Primary Industries and Regional Development, Western Australia
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, 2024 Department of Primary Industries and Regional Development, Western Australia
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 …
Advancing Deep Learning With Graph-Based Structural Insights: From Graph Classification To Semantic Segmentation, 2024 Department of Computer Science and Engineering
Advancing Deep Learning With Graph-Based Structural Insights: From Graph Classification To Semantic Segmentation, Xin Ma
Computer Science and Engineering Dissertations
Deep learning has profoundly transformed machine learning by offering sophisticated data representations, yet effectively incorporating structural information remains a challenge. Structural data, whether explicit or implicit, has the potential to significantly enhance the performance of deep learning tasks. This research investigates the benefits of structural information across three crucial tasks: classification, clustering, and segmentation. For explicit structural data, where inputs are directly represented as graphs, we investigate graph-level classification in brain connectivity networks. We introduce the Multi-resolution Edge Network (MENET), a novel framework designed to identify disease-specific connectomic benchmarks with high discriminatory power across diagnostic categories. MENET leverages graph-level representations …
Usage And Knowledge Of Online Tools And Generative Ai: A Survey Of Students, 2024 Bentley University
Usage And Knowledge Of Online Tools And Generative Ai: A Survey Of Students, Rahul R. Divekar Phd, Lisette Gonzalez, Sophia Guerra, Natasha Boos
Department of Information Design and Corporate Communication Faculty Publications
Artificial Intelligence (AI) tools like ChatGPT are poised to transform student and educator workflows in higher education. However, there is less documentation on the range of tools students in higher education use, how they use them and in coordination with other online tools for learning, and their expertise using AI tools. We present a mixed-method analysis of a survey conducted at a doctoral-granting university in the United States investigating the adoption of AI tools in the context of other technologies. The findings include how the students used GenAI tools in light of other on-line technologies, their perception of expertise on …
Simulating The Spread Of Information Among Non-Playable Characters In Video Games, 2024 Bard College
Simulating The Spread Of Information Among Non-Playable Characters In Video Games, Summer Ashley Colon
Senior Projects Spring 2024
This project attempts to improve Non-Player Character (NPC) realism in video games by using an Agent-Based Model (ABM) to automate their communication and interactions. To evaluate how information spreads through interacting NPCs in video games, this simulation assumes that the main purpose of NPC societies is to provide a context in which NPCs interact with each other to spread information about player-generated events that change the game state. The goal is to successfully identify possible programming methods to automate NPC behavior and create a more realistic gaming experience for players. The simulation incorporates three archetypal types of characters that are …
A Virtual Time Driven Simulator For Devs Models, 2024 Michigan Technological University
A Virtual Time Driven Simulator For Devs Models, Ronald R. Stempien
Dissertations, Master's Theses and Master's Reports
When simulating a system that includes some software component, simulation authors are faced with the problem of how to appropriately model the software within the simulation. While many formal methods for modeling software exist, in some contexts these may not be appropriate or viable for a given simulation. Instead, simulation authors may model a computer within the simulation, and run the software in question “as is” on the modeled machine. In this work, we introduce a theoretical framework to allow for the use of hardware virtualization technologies as a hardware accelerator for CPU models in Discrete Event System Specification (DEVS) …
Detecting And Recovering From Player Preference Shifts In A Player Modeled Experience Management Environment, 2024 University of Kentucky
Detecting And Recovering From Player Preference Shifts In A Player Modeled Experience Management Environment, Anton Vinogradov
Theses and Dissertations--Computer Science
An important challenge in game design is understanding and maintaining player engagement. This is particularly crucial in both entertainment and educational games, where the player's commitment to the game directly impacts their experience and learning outcomes. However, quantifying engagement proves challenging due to the diverse interests of players. This dilemma is addressed through adaptive game design techniques where the game world is personalized to suit player preferences. In computer games, this personalization is facilitated through Experience Management and Player Modeling, where an intelligent agent gathers information on the player, including their preferences and actions, and takes actions to modify the …
Gnss Software Defined Radio: History, Current Developments, And Standardization Efforts, 2024 Universitat der Bundeswehr Munchen
Gnss Software Defined Radio: History, Current Developments, And Standardization Efforts, Thomas Pany, Dennis Akos, Javier Arribas, M. Zahidul H. Bhuiyan, Pau Closas, Fabio Dovis, Ignacio Fernandez-Hernandez, Carles Fernandez-Prades, Sanjeev Gunawardena, Todd Humphreys, Zaher M. Kassas, Jose A. Lopez Salcedo, Mario Nicola, Mario L. Psiaki, Alexander Rugamer, Yong-Jin Song, Jong-Hoon Won
Faculty Publications
Taking the work conducted by the global navigation satellite system (GNSS) software-defined radio (SDR) working group during the last decade as a seed, this contribution summarizes, for the first time, the history of GNSS SDR development. This report highlights selected SDR implementations and achievements that are available to the public or that influenced the general development of SDR. Aspects related to the standardization process of intermediate-frequency sample data and metadata are discussed, and an update of the Institute of Navigation SDR Standard is proposed. This work focuses on GNSS SDR implementations in general-purpose processors and leaves aside developments conducted on …
Stealthy Control Logic Attacks And Defense In Industrial Control Systems, 2024 Virginia Commonwealth University
Stealthy Control Logic Attacks And Defense In Industrial Control Systems, Adeen Ayub
Theses and Dissertations
Industrial control systems (ICS) play a crucial role in monitoring and managing critical infrastructure, including nuclear plants, oil and gas pipelines, and power grid stations. Programmable logic controllers (PLCs) are a fundamental component of ICS, directly interfacing with physical processes and implementing control logic programs that govern operations. Due to their significance in controlling critical infrastructure, PLCs often become prime targets for attackers seeking to disrupt these systems. Exploitable vulnerabilities in PLCs render them susceptible to such attacks. While many attacks on PLCs leave a large footprint in network traffic and are detectable by intrusion detection systems (IDS), this dissertation …
Enhancing Urban Life: A Policy-Based Autonomic Smart City Management System For Efficient, Sustainable, And Self-Adaptive Urban Environments, 2023 Western University
Enhancing Urban Life: A Policy-Based Autonomic Smart City Management System For Efficient, Sustainable, And Self-Adaptive Urban Environments, Elham Okhovat
Electronic Thesis and Dissertation Repository
This thesis proposes the concept of the Policy-based Autonomic Smart City Management System, an innovative framework designed to comprehensively manage diverse aspects of urban environments, ranging from environmental conditions such as temperature and air quality to the infrastructure which comprises multiple layers of infrastructure, from sensors and devices to advanced IoT platforms and applications. Efficient management requires continuous monitoring of devices and infrastructure, data analysis, and real-time resource assessment to ensure seamless city operations and improve residents' quality of life. Automating data monitoring is essential due to the vast array of hardware and data exchanges, and round-the-clock monitoring is critical. …
Computational Study Of The Effect Of Geometry On Molecular Interactions, 2023 University of New Mexico
Computational Study Of The Effect Of Geometry On Molecular Interactions, Sarika Kumar
Computer Science ETDs
The specificity and predictability of DNA make it an excellent programmable material and have allowed bio-programmers to build sophisticated molecular circuits. These molecular devices should be precise, correct, and function as intended. In order to implement these circuits, the challenge is to build a robust, reliable, and scalable logic circuit with ideally minimum unwanted signal release. Performing experiments are expensive and time-consuming, so modeling and analyzing these bio-molecular systems become crucial in designing molecular circuits. This dissertation aimed to develop algorithms and build computational tools for automated analysis of molecular circuits that incorporate the molecular geometry of nanostructures. Molecular circuits …
Ascot App, 2023 Loyola Marymount University and Loyola Law School
Ascot App, Milla Penelope Markovic
Honors Thesis
The Ascot App is a research tool for acquiring and analyzing data. The app comprises of both mobile and web platforms, each serving a unique purpose. The mobile side allows users to input data through the app’s form, which is uploaded to a database for further processing and analysis. The web app, which is still under development as of April of 2024, allows users to manage their research project and download data in the form of a parsed CSV. These components ensure a seamless process for research teams to record data with persistence and security while allowing for analysis.
Ascot …
Movie Recommendation System Using Content Based Filtering, 2023 Information Technology, Swami Vivekananda Institute of Technology, Secunderabad, India, 500003
Movie Recommendation System Using Content Based Filtering, Sribhashyam Rakesh
Al-Bahir Journal for Engineering and Pure Sciences
The movie recommendation system plays a crucial role in assisting movie enthusiasts in finding movies that match their interests, saving them from the overwhelming task of sifting through countless options. In this paper, we present a content-grounded movie recommendation system that leverages an attribute-based approach to offer personalized movie suggestions to users. The proposed method focuses on attributes such as cast, keywords, crew, and genres of movies to predict users' preferences accurately. Through extensive evaluation, our content-grounded recommendation system demonstrated significant improvements in performance compared to conventional methods. The precision and recall scores increased by an average of 20% and …
Overcoming Foreign Language Anxiety In An Emotionally Intelligent Tutoring System, 2023 DePaul University
Overcoming Foreign Language Anxiety In An Emotionally Intelligent Tutoring System, Daneih Ismail
College of Computing and Digital Media Dissertations
Learning a foreign language entails cognitive and emotional obstacles. It involves complicated mental processes that affect learning and emotions. Positive emotions such as motivation, encouragement, and satisfaction increase learning achievement, while negative emotions like anxiety, frustration, and confusion may reduce performance. Foreign Language Anxiety (FLA) is a specific type of anxiety accompanying learning a foreign language. It is considered a main impediment that hinders learning, reduces achievements, and diminishes interest in learning.
Detecting FLA is the first step toward reducing and eventually overcoming it. Previously, researchers have been detecting FLA using physical measurements and self-reports. Using physical measures is direct …