Browsing by Title
Now showing items 19852-19871 of 36066
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M Hampton Oral History Interview
(UW-Stout Archives and Area Research Center, 2021)Hampton discusses campus controversies and the impact they have on LGBTQIA+ students. Hampton also expresses what they think Stout could do to help the LGBTQIA+ community when these types of incidents occur. -
M.I. Glinka's songs and romances
(1971) -
Ma'i Dada
(Center for South Asia, University of Wisconsin–Madison, 1998) -
Maaji
(Department of Languages and Cultures of Asia, University of Wisconsin–Madison, 2004) -
Maasai Identity in the 21st Century
(2013-08-01)The Maasai people of East Africa have managed to retain much of their culture and traditions in the face of colonialism and increasing internal and external pressures. The Maasai have been viewed by many as the iconic, ... -
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication
(2022-04)Static authentication methods, like passwords and PINs, authenticate a user once and only once. Continually authenticating a user even after initial access can drastically increase account security against imposters. Unique ... -
Machine Intelligence for Advanced Medical Data Analysis: Manifold Learning Approach
(2019-05-01)In the current work, linear and non-linear manifold learning techniques, specifically Principle Component Analysis (PCA) and Laplacian Eigenmaps, are studied in detail. Their applications in medical image and shape analysis ... -
Machine Learning Approach to Event Detection for Load Monitoring
(2019)Today’s Electricity market is highly interconnected. The actions of customers, transmission and distribution systems, generation systems, markets, and service providers are correlated. The dynamic stability of the grid ... -
A Machine Learning Approach Towards Prediction of Pancreatic Cancer Using Gene Expression and DNA Methylation
(2024-04)DNA methylation is a process that can affect gene accessibility and therefore gene expression. Methylation can affect genes that are associated with suppressing or contributing to tumor growth and progression. In this ... -
Machine Learning Based Approach to Recommend MITRE ATT&CK Framework for Software Requirements and Design Specifications : AIMS (Artificial Intelligence, Machine Learning, and Security) Research Group
(2022-04)As cyber-attacks increase in volume and sophistication, the current state of cybersecurity solutions is inadequate. According to Red Canary, Advanced Persistent Threat (APT) attacks have increased from approximately 500 ... -
Machine Learning for the Isolation of Geochemical Cycles in the Midwestern Cambrian-Ordovician Aquifer System
(2025-05-08)Groundwater is a critical resource supporting millions of domestic and municipal users across the country. As pressures on this resource intensify, concerns about groundwater quality are only increasing. Large-scale ... -
Machine Learning to Detect Stuttering : Detecting Different Types of Stuttering Using Multiple Machine Learning Algorithms
(2024-04)Stuttering is an important problem largely addressed with speech therapy. It can adversely affect the quality of the affected person’s daily life. If machine learners can be designed to detect stuttering types in speech, ... -
Machine Learning via Mathematical Programming
(University of Wisconsin-Madison Department of Computer Sciences, 1993) -
Machine Learning via Polyhedral Concave Minimization
(1995-11)Two fundamental problems of machine learning, misclassification minimization [10,24,18] and feature selection, [25, 29, 14] are formulated as the minimization of a concave function on the polyhedral set. Other formulations ... -
Machine Versus Human: A Comparison Between Artificial and Human Intelligence with Urban Tree Canopy Assessments in Wisconsin
(College of Natural Resources, University of Wisconsin-Stevens Point, 2022-05)The urban forest makes up an integral portion of the landcover of urban areas. Currently 80% of the population in the United States lives in urban areas. Understanding landcovers within urban areas and specifically in this ... -
Machine-Learning-based Prediction of Sepsis Events from Vertical Clinical Trial Data: a Naïve Approach
(2020-08-01)Sepsis is a potentially life-threatening condition characterized by a dysregulated, disproportionate immune response to infection by which the afflicted body attacks its own tissues, sometimes to the point of organ failure, ... -
Mackenzie Stutzman Oral History Interview
(UW-Stout Archives and Area Research Center, 2020-06-09)Stutzman, Associate Director of Recreation, discussed how the COVID-19 pandemic impacted her work environment and relationships with coworkers. -
Mackie, Rock interview
(2010-01-19)Dr. Thomas "Rock" Mackie is the Director of Medical Devices, Morgridge Institute for Research, UW-Madison Professor of Medical Physics at the School of Medicine and Public Health, and Biomedical Engineering in the College ... -
Macro to micro challenges comforting organizations' ability to address strategic succession planning
(2025-06-03)Organizations are fraught with numerous talent-related changes that threaten their long-term viability. Ensuring that the right talent is in place and is provided with growth and development opportunities is crucial for ... -
Macrobenthic survey of Navigation Pool No. 8 of the Upper Mississippi River, with special reference to ecological relationships
(1977-12)The macrobenthic fauna of Navigation Pool No. 8 of the Upper Mississippi River was inventoried and correlated with the average physical-chemical conditions encountered in the pool. Forty-one sampling areas, numbered in ...