Open Access. Powered by Scholars. Published by Universities.®
Artificial Intelligence and Robotics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (28)
- Computer Engineering (15)
- Social and Behavioral Sciences (15)
- Business (14)
- Electrical and Computer Engineering (11)
-
- Education (9)
- Robotics (9)
- Arts and Humanities (7)
- Medicine and Health Sciences (7)
- Other Education (7)
- Business Administration, Management, and Operations (6)
- Finance and Financial Management (5)
- Life Sciences (5)
- Teacher Education and Professional Development (5)
- Adult and Continuing Education and Teaching (4)
- Community College Education Administration (4)
- Curriculum and Social Inquiry (4)
- Disability and Equity in Education (4)
- Educational Administration and Supervision (4)
- Higher Education Administration (4)
- Higher Education and Teaching (4)
- Instructional Media Design (4)
- International and Comparative Education (4)
- Science and Technology Studies (4)
- Technology and Innovation (4)
- American Studies (3)
- Communication (3)
- Keyword
-
- Artificial Intelligence (9)
- Artificial intelligence (6)
- Deep Learning (6)
- Machine learning (5)
- AI (4)
-
- Computer Vision (4)
- Faculty Development & Life (4)
- Machine Learning (4)
- Faculty development (3)
- Reinforcement Learning (3)
- Assistive technology (2)
- Computer vision (2)
- Data Science (2)
- Deep learning (2)
- Distance Learning (2)
- Faculty life (2)
- Innovation (2)
- Large Language Models (2)
- Neural Networks (2)
- Supervised Machine Learning (2)
- Tourism (2)
- 3D Object Categorization (1)
- 3D Object Pose Estimation (1)
- 5G Cellular Networks (1)
- 5G and 6G Networks (1)
- AI Ethical Decision-Making (1)
- AI Ethical Practices (1)
- AI Ethical Principles (1)
- AI Ethics (1)
- AI Governance (1)
- Publication Year
- Publication
- Publication Type
Articles 61 - 71 of 71
Full-Text Articles in Artificial Intelligence and Robotics
Evaluating Machine Learning Classifiers For Defensive Cyber Operations, Michael D. Rich, Robert F. Mills, Thomas E. Dube, Steven K. Rogers
Evaluating Machine Learning Classifiers For Defensive Cyber Operations, Michael D. Rich, Robert F. Mills, Thomas E. Dube, Steven K. Rogers
Military Cyber Affairs
Today’s defensive cyber sensors are dominated by signature-based analytical methods that require continuous maintenance and lack the ability to detect unknown threats. Anomaly detection offers the ability to detect unknown threats, but despite over 15 years of active research, the operationalization of anomaly detection and machine learning for Defensive Cyber Operations (DCO) is lagging. This article provides an introduction to machine learning concepts with a focus on the unique challenges to using machine learning for DCO. Traditional machine learning evaluation methods are challenged in favor of a value-focused evaluation method that incorporates evaluator-specific weights for classifier and sensitivity threshold selection …
Digital Integration, Jacob C. Boccio
Digital Integration, Jacob C. Boccio
USF Tampa Graduate Theses and Dissertations
Artificial intelligence is an emerging technology; something far beyond smartphones, cloud integration, or surgical microchip implantation. Utilizing the work of Ray Kurzweil, Nick Bostrom, and Steven Shaviro, this thesis investigates technology and artificial intelligence through the lens of the cinema. It does this by mapping contemporary concepts and the imagined worlds in film as an intersection of reality and fiction that examines issues of individual identity and alienation. I look at a non-linear timeline of films involving machine advancement, machine intelligence, and stages of post-human development; Elysium (2013) and Surrogates (2009) are about technology as an extension of the self, …
Scene-Dependent Human Intention Recognition For An Assistive Robotic System, Kester Duncan
Scene-Dependent Human Intention Recognition For An Assistive Robotic System, Kester Duncan
USF Tampa Graduate Theses and Dissertations
In order for assistive robots to collaborate effectively with humans for completing everyday tasks, they must be endowed with the ability to effectively perceive scenes and more importantly, recognize human intentions. As a result, we present in this dissertation a novel scene-dependent human-robot collaborative system capable of recognizing and learning human intentions based on scene objects, the actions that can be performed on them, and human interaction history. The aim of this system is to reduce the amount of human interactions necessary for communicating tasks to a robot. Accordingly, the system is partitioned into scene understanding and intention recognition modules. …
Robotic Swarming Without Inter-Agent Communication, Daniel Jonathan Standish
Robotic Swarming Without Inter-Agent Communication, Daniel Jonathan Standish
USF Tampa Graduate Theses and Dissertations
Many physical and algorithmic swarms utilize inter-agent communication to achieve advanced swarming behaviors. These swarms are inspired by biological swarms that can be seen throughout nature and include bee swarms, ant colonies, fish schools, and bird flocks. These biological swarms do not utilize inter-agent communication like their physical and algorithmic counterparts. Instead, organisms in nature rely on a local awareness of other swarm members that facilitates proper swarm motion and behavior. This research aims to pursue an effective swarm algorithm using only line-of-sight proximity information and no inter-agent communication. It is expected that the swarm performance will be lower than …
A Location-Aware Architecture Supporting Intelligent Real-Time Mobile Applications, Sean J. Barbeau
A Location-Aware Architecture Supporting Intelligent Real-Time Mobile Applications, Sean J. Barbeau
USF Tampa Graduate Theses and Dissertations
This dissertation presents LAISYC, a modular location-aware architecture for intelligent real-time mobile applications that is fully-implementable by third party mobile app developers and supports high-precision and high-accuracy positioning systems such as GPS. LAISYC significantly improves device battery life, provides location data authenticity, ensures security of location data, and significantly reduces the amount of data transferred between the phone and server. The design, implementation, and evaluation of LAISYC using real mobile phones include the following modules: the GPS Auto-Sleep module saves battery energy when using GPS, maintaining acceptable movement tracking (approximately 89% accuracy) with an approximate average doubling of battery life. …
A Location-Based Incentive Mechanism For Participatory Sensing Systems With Budget Constraints, Luis Gabriel Jaimes
A Location-Based Incentive Mechanism For Participatory Sensing Systems With Budget Constraints, Luis Gabriel Jaimes
USF Tampa Graduate Theses and Dissertations
Participatory Sensing (PS) systems rely on the willingness of mobile users to participate in the collection and reporting of data using a variety of sensors either embedded or integrated in their
cellular phones. Users agree to use their cellular phone resources to sense and transmit the data of interest because these data will be used to address a collective problem that otherwise would
be very difficult to assess and solve. However, this new data collection paradigm has not been very successful yet mainly because of the lack of incentives for participation and privacy concerns. Without adequate incentive and privacy guaranteeing …
A Spatially Explicit Agent Based Model Of Muscovy Duck Home Range Behavior, James Howard Anderson
A Spatially Explicit Agent Based Model Of Muscovy Duck Home Range Behavior, James Howard Anderson
USF Tampa Graduate Theses and Dissertations
ABSTRACT
Research in GIScience has identified agent-based simulation methodologies as effective in the study of complex adaptive spatial systems (CASS). CASS are characterized by the emergent nature of their spatial expressions and by the changing relationships between their constituent variables and how those variables act on the system's spatial expression over time. Here, emergence refers to a CASS property where small-scale, individual action results in macroscopic or system-level patterns over time. This research develops and executes a spatially-explicit agent based model of Muscovy Duck home range behavior. Muscovy duck home range behavior is regarded as a complex adaptive spatial system …
Faculty Success: Developing A Research And Publication Agenda, Kathleen P. King
Faculty Success: Developing A Research And Publication Agenda, Kathleen P. King
Department of Leadership, Policy, and Lifelong Learning
Anyone associated with higher education will acknowledge that tenure track faculty have to perform a fantastic balancing act. Compared to an administrative or line role in an organization, higher education faculty have tremendous autonomy and freedom. However, they face competing demands of many different (and good) opportunities, and for them the stakes are always high. Help is here! This article introduces a powerful strategy for staying on track in the research strand of this competitive journey.
Designing Successful Online Courses - Part 2, Kathleen P. King
Designing Successful Online Courses - Part 2, Kathleen P. King
Department of Leadership, Policy, and Lifelong Learning
Once again, our major goal is to provide faculty with consistent guidance through the many instructional decisions and design steps they need to pursue in this process. This process is a fantastic opportunity to craft a virtual learning space in which people can engaging in learning beyond the constraints of time and space.
Five Strategies For Successful Writing Of Reports And Essays, Kathleen P. King
Five Strategies For Successful Writing Of Reports And Essays, Kathleen P. King
Department of Leadership, Policy, and Lifelong Learning
Many people cannot get started with their literary projects because they do not know where to start. In this brief article, I share insight from years of teaching students and professionals of all ages how to prepare professional work.
Revelations Of Adaptive Technology Hiding In Your Operating System, Kathleen P. King
Revelations Of Adaptive Technology Hiding In Your Operating System, Kathleen P. King
Department of Leadership, Policy, and Lifelong Learning
Pre-publication version of a chapter about the assistive technology tools and resources available for free in Windows OS and Mac OS. Introducing higher education faculty to free resources, features and programs which they can recommend to their students or perhaps use for themselves (for instance for fading eyesight or hearing). In addition, the chapter briefly shares strategies and examples of how they might be used.
The book will have an entire chapter dedicated to assistive technology as well. This is a popularized assistive technology chapter for generalist, NON special education, faculty to become acquainted with readily available and free resources. …