Browsing Theses and Dissertations(library) by Title
Now showing items 3488-3507 of 6459
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Lead Directorship, Corporate Governance, And Firm Performance
(Accounting, 2007-09-19)This dissertation empirically explores the role of the lead directorship in the corporate governance system and strives to empirically examine the association between the lead directorship and firm performance. I measure ... -
LEADING BY DESIGN: THE LANDSCAPE ARCHITECTURE CAREER OF H. ROWLAND JACKSON
(2016-05-10)The aim of the study is to explore the landscape architecture career of H. Rowland Jackson, a prominent landscape architect practicing in North Texas, to better understand his professional experiences and achievements. ... -
Leading The James: The Morphological Changes Of The Missouri River And The Subservient James River
(Geology, 2011-07-14)The James River flows into the Missouri River east of Yankton, SD. The degree to which the morphological changes of the Missouri River had an impact on the course of the James River is debatable. After mapping the Mission ... -
LEAF, BARK, THORN, ROOT: ARBOREAL ECOCRITICISM AND SHAKESPEAREAN DRAMA
(2019-04-30)Leaf, Bark, Thorn, Root traces the appearance of trees and their constituent parts in five Shakespearean plays: Macbeth, The Tempest, 3 Henry VI, Richard III, and As You Like It. The dissertation shows how these plays ... -
Leak detector system for Positive Airway Pressure machines
(2016-08-16)The project aims to develop a system to indicate leaks occurring in a Positive Airway Pressure (PAP) machine which sends a passage of air to the patients suffering from sleep apnea, through a hose and a nose mask. The ... -
Learner Perceptions Of Small Group And Pair Work In The ESL Classroom: Implications For Conditions In Second Language Acquisition
(Linguistics, 2007-08-23)Second language acquisition (SLA) research finds that small group (SG) and pair work (PW) are essential tools in language learning, specifically creating optimal conditions for negotiation of meaning (e.g., Long, 1985; ... -
Learning Abstractions for Planning
(2020-06-03)Planners for hard problems must exploit domain-specific structure to find solutions efficiently. Yet, hand-engineered solutions and optimizations are often expensive and difficult or impossible to adapt to other problems. ... -
Learning and control for complex multiagent systems
(2023-12-06)**Please note that the full text is embargoed until 02/01/2025** Complex multiagent systems (MASs) are pervasive in various fields, from power system networks, and autonomous robotics to traffic management, where groups ... -
LEARNING CAUSAL BOUNDS USING MARGINAL INDEPENDENCE INFORMATION WITH APPLICATIONS TO GENE EXPRESSION ANALYSIS
(2022-03-14)Discovering causal relations is a fundamental goal of science. Randomized controlled experiments were often considered to be the only reliable method for tackling this task. However, in recent years, various causal discovery ... -
LEARNING EFFICIENCIES FOR DIFFERENT ORTHOGRAPHIES: A COMPARATIVE STUDY OF HAN CHARACTERS AND VIETNAMESE ROMANIZATION
(University of Texas at Arlington, 2003-05)In order to address the question of whether or not to abandon Han characters (Hanji), it is important to evaluate empirically the efficiency of Han writing. The purpose of this study is to compare the efficiency of learning ... -
LEARNING EMBEDDINGS FOR WEARABLE-BASED HUMAN ACTIVITY ANALYSIS
(2020-09-04)The embedded sensors in widely used smartphones, wearable devices and smart environments make the sensor data stream of human activity more accessible. With the development of deep neural networks, extensive studies have ... -
Learning Equivalent Input Channel Mappings And Generalized Features For Pattern Transfer
(Computer Science & Engineering, 2013-10-22)In many real-world modeling applications, it is needed to detect the origin of the patterns of the input data in addition to find the patterns themselves. Having the input data generated by a systematically organized set ... -
LEARNING FOR CLINICAL OUTCOME PREDICTION FROM BIG MEDICAL DATA
(2019-08-09)With the advance of recent technological innovations, nowadays scientists can easily capture and store tremendous amounts of different types of medical data such as Computed Tomography (CT), Magnetic Resonance Imaging ... -
LEARNING FROM WIZARD-OF-OZ USING DYNAMIC USER MODELING
(2017-05-15)Socially assistive robotics (SAR) is a field of study that combines assistive robotics with socially interactive robotics where the goal of the robot is to provide assistance to human users through social interaction. The ... -
Learning Health Information From Floor Sensor Data Within A Pervasive Smart Home Environment
(2020-09-02)Spatial and temporal gait analysis can provide useful measures for determining a person’s state of health while also identifying deviations in day-to-day activity. The SmartCare project is a multi-discipline health ... -
LEARNING HIERARCHICAL TRAVERSABILITY REPRESENTATION FOR EFFICIENT MULTI-RESOLUTION PATH PLANNING
(2021-05-13)Path finding on grid-based obstacle maps is an important and much studied problem with applications in robotics and autonomy. Traditionally, in the AI community, heuristic search methods (e.g. based on Dijkstra and A*, or ... -
Learning Partially Observable Markov Decision Processes Using Abstract Actions
(Computer Science & Engineering, 2014-03-10)Transfer learning and Abstraction are among the new and most interesting research topics in AI and address the use of learned knowledge to improve learning performance in subsequent tasks. While there has been significant ... -
LEARNING PERCEPTION TO ACTION MAPPING FOR FUNCTIONAL IMITATION
(2016-12-09)Imitation leaning is the learning of advanced behavior whereby an agent acquires a skill by observing another's behavior while performing the same skill. The main objective of imitation learning is to make robots usable ... -
Learning Representations Using Reinforcement Learning
(2019-05-09)The framework of reinforcement learning is a powerful suite of algorithms that can learn generalized solutions to complex decision making problems. However, the applications of reinforcement learning algorithms to traditional ... -
LEARNING ROBOT MANIPULATION TASKS VIA OBSERVATION
(2019-12-06)The coexistence of humans and robots has been the aspiration of many scientific endeavors in the past century. Most anthropomorphic or industrial robots are highly articulated and complex machines, which are designed to ...