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Accelerating Precision Station Keeping For Automated Aircraft, James D. Anderson
Accelerating Precision Station Keeping For Automated Aircraft, James D. Anderson
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Automated vehicles pose challenges in various research domains, including robotics, machine learning, computer vision, public safety, system certification, and beyond. These vehicles autonomously handle navigation and locomotion, often requiring minimal user interaction, and can operate on land, in water, or in the air. In the context of aircraft, one specific application is Automated Aerial Refueling (AAR). Traditional aerial refueling involves a "tanker" aircraft using a mechanism, such as a rigid boom arm or a flexible hose, to transfer fuel to another aircraft designated as the "receiver". For AAR, the boom arm may be maneuvered automatically, or in certain instances the …
Comparative Adjudication Of Noisy And Subjective Data Annotation Disagreements For Deep Learning, Scott David Williams
Comparative Adjudication Of Noisy And Subjective Data Annotation Disagreements For Deep Learning, Scott David Williams
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Obtaining accurate inferences from deep neural networks is difficult when models are trained on instances with conflicting labels. Algorithmic recognition of online hate speech illustrates this. No human annotator is perfectly reliable, so multiple annotators evaluate and label online posts in a corpus. Labeling scheme limitations, differences in annotators' beliefs, and limits to annotators' honesty and carefulness cause some labels to disagree. Consequently, decisive and accurate inferences become less likely. Some practical applications such as social research can tolerate some indecisiveness. However, an online platform using an indecisive classifier for automated content moderation could create more problems than it solves. …
A Design Thinking Framework For Human-Centric Explainable Artificial Intelligence In Time-Critical Systems, Paul Benjamin Stone
A Design Thinking Framework For Human-Centric Explainable Artificial Intelligence In Time-Critical Systems, Paul Benjamin Stone
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Artificial Intelligence (AI) has seen a surge in popularity as increased computing power has made it more viable and useful. The increasing complexity of AI, however, leads to can lead to difficulty in understanding or interpreting the results of AI procedures, which can then lead to incorrect predictions, classifications, or analysis of outcomes. The result of these problems can be over-reliance on AI, under-reliance on AI, or simply confusion as to what the results mean. Additionally, the complexity of AI models can obscure the algorithmic, data and design biases to which all models are subject, which may exacerbate negative outcomes, …
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 16, Number 2, February 2000, College Of Engineering And Computer Science, Wright State University
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 16, Number 2, February 2000, College Of Engineering And Computer Science, Wright State University
BITs and PCs Newsletter
A ten page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 14, Number 4, April 1998, College Of Engineering And Computer Science, Wright State University
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 14, Number 4, April 1998, College Of Engineering And Computer Science, Wright State University
BITs and PCs Newsletter
An eight page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 13, Number 9, November 1997, College Of Engineering And Computer Science, Wright State University
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 13, Number 9, November 1997, College Of Engineering And Computer Science, Wright State University
BITs and PCs Newsletter
A twelve page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 9, Number 4, April 1993, College Of Engineering And Computer Science, Wright State University
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, Volume 9, Number 4, April 1993, College Of Engineering And Computer Science, Wright State University
BITs and PCs Newsletter
An eight page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, February 1991, College Of Engineering And Computer Science, Wright State University
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, February 1991, College Of Engineering And Computer Science, Wright State University
BITs and PCs Newsletter
An eight page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, November 1990, College Of Engineering And Computer Science, Wright State University
Wright State University College Of Engineering And Computer Science Bits And Pcs Newsletter, November 1990, College Of Engineering And Computer Science, Wright State University
BITs and PCs Newsletter
A ten page newsletter created by the Wright State University College of Engineering and Computer Science that addresses the current affairs of the college.