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Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal最新文献

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COVID Strategy COVID策略
Pub Date : 2023-06-23 DOI: 10.61366/2576-2176.1132
Finn Kane, Joseph Katosh, Caleb Osuna
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引用次数: 0
Probing as a Technique to Understand Abstract Spaces 探究:一种理解抽象空间的技术
Pub Date : 2023-06-23 DOI: 10.61366/2576-2176.1126
Ashlen A. Plasek
Machine learning models, while very powerful, have their operation obfuscated behind millions of parameters. This obfuscation can make deriving a human meaningful process from a machine learning model very difficult. However, while the intermediate states of a machine learning model are similarly obfuscated, using probing, we can start to explore looking at possible structure in those intermediate states. Large language models are a prime example of this obfuscation, and probing can begin to allow novel experimentation to be performed.
机器学习模型虽然非常强大,但它们的操作却被数百万个参数所混淆。这种混淆会使从机器学习模型中推导出人类有意义的过程变得非常困难。然而,当机器学习模型的中间状态同样被混淆时,使用探测,我们可以开始探索这些中间状态中可能的结构。大型语言模型是这种混淆的主要例子,探索可以开始允许执行新的实验。
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引用次数: 0
Not-so-super Superfund: CERCLA’s Biggest Issues 超级基金:CERCLA最大的问题
Pub Date : 2023-06-23 DOI: 10.61366/2576-2176.1131
Cameron Berthiaume
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引用次数: 0
“It Ain't Right and It Ain't Natural”: Climate Change in Anaïs Mitchell’s Hadestown “这是不对的,这是不自然的”:Anaïs米切尔Hadestown的气候变化
Pub Date : 2023-06-23 DOI: 10.61366/2576-2176.1130
Dean Schmit
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引用次数: 0
LiDAR Segmentation-based Adversarial Attacks on Autonomous Vehicles 基于激光雷达分段的自动驾驶汽车对抗性攻击
Pub Date : 2023-06-23 DOI: 10.61366/2576-2176.1128
Blake Johnson
Autonomous vehicles utilizing LiDAR-based 3D perception systems are susceptible to adversarial attacks. This paper focuses on a specific attack scenario that relies on the creation of adversarial point clusters with the intention of fooling the segmentation model utilized by LiDAR into misclassi-fying point cloud data. This can be translated into the real world with the placement of objects (such as road signs or cardboard) at these adversarial point cluster locations. These locations are generated through an optimization algorithm performed on said adversarial point clusters that are introduced by the attacker.
使用基于激光雷达的3D感知系统的自动驾驶汽车容易受到对抗性攻击。本文重点研究了一种特定的攻击场景,该场景依赖于对抗性点簇的创建,目的是欺骗激光雷达使用的分割模型,使其对点云数据进行错误分类。这可以通过在这些对抗性点集群位置放置对象(如道路标志或纸板)转化为现实世界。这些位置是通过对攻击者引入的所述对抗性点集群执行的优化算法生成的。
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引用次数: 0
Multipath TCP, and New Packet Scheduling Method 多路径TCP和新的数据包调度方法
Pub Date : 2023-03-09 DOI: 10.61366/2576-2176.1119
Cole N. Maxwell
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引用次数: 0
Public Participation in the Vineyard Wind Project 公众参与葡萄园风项目
Pub Date : 2023-03-09 DOI: 10.61366/2576-2176.1122
Jude Humphrey
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引用次数: 0
Diversity in Morris with Social Media 莫里斯与社交媒体的多样性
Pub Date : 2023-03-09 DOI: 10.61366/2576-2176.1117
Trey Rockey, Breckin Silvain
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引用次数: 0
Increased Light Exposure Decreases Lichen Abundance on Linden Trees in the Prairie Grassland Biome of West Central Minnesota 增加光照减少了明尼苏达州中西部草原生物群系中椴树的地衣丰度
Pub Date : 2023-03-09 DOI: 10.61366/2576-2176.1121
Cameron Berthiaume, Sanjana Kidambi, Madelyn Schoenberger
Recommended Citation Berthiaume, Cameron; Kidambi, Sanjana; and Schoenberger, Madelyn (2023) "Increased Light Exposure Decreases Lichen Abundance on Linden Trees in the Prairie Grassland Biome of West Central Minnesota," Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal: Vol. 10: Iss. 1, Article 1. DOI: https://doi.org/10.61366/2576-2176.1121 Available at: https://digitalcommons.morris.umn.edu/horizons/vol10/iss1/1
Cameron Berthiaume;Kidambi娜;《玛德琳·舍恩伯格》(2023)“增加的光照减少了明尼苏达州中西部草原草原生物群系中椴树上的地衣丰度”,《学术视野:明尼苏达大学,莫里斯本科生期刊》,第10卷:第1期,第1条。DOI: https://doi.org/10.61366/2576-2176.1121可在:https://digitalcommons.morris.umn.edu/horizons/vol10/iss1/1
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引用次数: 1
Applications of Generative Adversarial Networks in Single Image Datasets 生成对抗网络在单图像数据集中的应用
Pub Date : 2023-03-09 DOI: 10.61366/2576-2176.1118
D. Cramer
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引用次数: 0
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Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal
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