Browsing Theses and Dissertations(library) by Author "Huber, Manfred"
Now showing items 21-40 of 63
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Enhanced Targeting In A Haptic User Interface For The Physically Disabled Using A Force Feedback Mouse
Holbert, Brian (Computer Science & Engineering, 2007-10-08)Although the human computer interface continues to evolve by engaging sight, voice, sound, and touch to manipulate the environment, the marriage between mouse and graphic based operating systems remains one of the primary ... -
Enhancing Biomedical Imaging with AI: Compression, Prediction, and Multi-Modal Integration for Clinical Advancement
Nasr, Mohammad Sadegh; 0000-0001-9675-5640 (2023-12-15)This dissertation delves into the enhancement of biomedical image analysis through the deployment of artificial intelligence methodologies, focusing on the transition from theoretical innovation to practical clinical ... -
Enhancing Biomedical Imaging with AI: Compression, Prediction, and Multi-Modal Integration for Clinical Advancement
Nasr, Mohammad Sadegh; 0000-0001-9675-5640 (2023-12-15)This dissertation delves into the enhancement of biomedical image analysis through the deployment of artificial intelligence methodologies, focusing on the transition from theoretical innovation to practical clinical ... -
ENHANCING THE CLASSIFICATION OF AUTISM SPECTRUM DISORDER FROM RS-FMRI FUNCTIONAL CONNECTIVITY DATA USING TEMPORAL INFORMATION
Ingole, Mihir Yashwant; 0009-0008-3747-3115 (2023-12-15)Autism Spectrum Disorder (ASD) affects the patient’s cognitive development which leads to difficulties in social functioning, daily tasks, and independent living. This necessitates intervention at an early age to take ... -
Evolving Modular Programs By Extracting Reusable Functions Using Significance Testing
Loeppert, Anthony (Computer Science & Engineering, 2007-08-23)Genetic programming is an automatic programming method that uses biologically inspired methods to evolve programs. Genetic programming, and evolutionary methods in general, are useful for problem domains in which a method ... -
Gait Analysis On A Smart Floor For Health Monitoring
Oluwadare, OluwatosinGait analysis is the investigation of an individual pattern of walking. Based on studies in Psychophysics, it has been shown that the human gait contains unique information that is useful for the evaluation of foot and ... -
A Game Theoretic Framework For Communication Decisions In Multi Agent Systems
Reddy, Tummalapalli Sudhamsh (Computer Science & Engineering, 2013-03-20)Communication is the process of transferring information between multiple entities. We study the communication process between different entities that are modeled as multiple agents. To study the interactions between these ... -
Generalized Reinforcement Learning With An Application In Generic Workload Management Systems
Chiu, Po-Hsiang (Computer Science & Engineering, 2011-10-11)Learning by trial and error and being able to form levels of abstraction from the past experience has been an important factor for sentient beings to develop intelligent behaviors and cope with an ever-changing environment. ... -
GENERATING AN ADAPTIVE PATH USING RRT SAMPLING AND POTENTIAL FUNCTIONS WITH DIRECTIONAL NEAREST NEIGHBORS
Chahal, Sandeep; 0000-0003-1448-3552 (2018-12-13)Planning algorithms have attained omnipresent successes in several fields including robotics, animation, manufacturing, drug design, computational biology and aerospace applications. Path Planning is an essential component ... -
Hierarchical Reinforcement Learning Using Automatic Task Decomposition And Exploration Shaping
Djurdjevic, Predrag (Computer Science & Engineering, 2008-08-08)Reinforcement learning agents situated in real world environments have to be able to address a number of challenges in order to succeed at accomplishing a wide range of tasks over their lifetime. Among these, such systems ... -
Improving Performance and Security in Anonymity Systems
Imani, Mohsen (2018-09-06)Tor is an anonymity network that provides online privacy for the Internet users. Tor hides the user's traffic among the others' traffic. The more users Tor attracts, the stronger anonymity it provides. Unfortunately, users ... -
In Situ Sensor Calibration Using Noise Consistency
Sharma, Shriiesh Var; 0000-0003-0782-1541 (2020-09-08)Robots rely on sensors to map their surroundings. As a result, the accuracy of the map depends heavily on the sensor noise and in particular on accurate knowledge of it. The common way to ... -
INCOMPLETE TIME SERIES FORECASTING USING GENERATIVE NEURAL NETWORKS
Shah, Harshit Tarun (2020-12-07)Dealing with missing data is a long pervading problem and it becomes more challenging when forecasting time series data because of the complex relationships between data and time, which is why incomplete data can lead to ... -
Language Pre-Training and Auxiliary Tasks for Vision and Language Navigation
Bhatt, Saumya (2022-01-06)The Vision and Language Navigation task came to life from the idea that we can build a robot or an autonomous system that can be instructed in human language and that will navigate using the instructions given. For example, ... -
Learning Abstractions for Planning
Cook, Brian Charles; 0000-0002-1078-1897 (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 EMBEDDINGS FOR WEARABLE-BASED HUMAN ACTIVITY ANALYSIS
Sheng, Taoran; 0000-0002-2760-2699 (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
Rahmanian, Houtan (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 Health Information From Floor Sensor Data Within A Pervasive Smart Home Environment
Burns, Nicholas Brent (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
Etemadi Idgahi, Reza; 0000-0002-3253-765X (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
Janzadeh, Hamed (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 ...