Index Catalog // ScholarsArchive@OSU

Machine Learning Methods for Computational Sustainability

Creator:: Liu, Liping
Abstract:: Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...
Resource Type:: Dissertation
Full Text:: Conditional Multinomial Mixture Model for Superset Label Learning Li-Ping Liu, Thomas G. Dietterich

Predicting and Improving Throughput, Responsiveness and Battery Life of Computer Systems by Machine Learning

Creator:: Li, Yunfan
Abstract:: The Machine Learning (ML) algorithms are increasingly explored in varies of fields including designing and optimizing computer systems. Recent research, such as optimizing memory/cache prefetching by ML training or predicting traffic pattern in throughput processors, also exhibits a promising future of introducing ML into computer system design and optimization. Throughput...
Resource Type:: Dissertation

Analysis of nonlinear pharmacokinetic systems and the nonlinear disposition of phenylbutazone in equine (horses)

Creator:: Ma, Lian
Abstract:: The first part of the dissertation is to evaluate the use of proposed and established equations for area under the plasma concentration versus time (AUC) for molecules undergoing nonlinear Michaelis–Menten pharmacokinetic elimination. The effects of varying Michaelis-Menten parameters, rate of drug absorption, or bioavailability on the predictability of drug exposure...
Resource Type:: Dissertation
Full Text:: FDA, Dr. Ying Fan, Dr. Ping Ji and Dr. Yaning Wang for their patient guidance and warm help to make

Sensor Interface Circuit Design towards CMOS Scaling

Creator:: Liu, Jialin
Abstract:: Sensor system plays an important role in connecting everything including human body to the electrical information systems that we have built and that we are going to build, to make the world more intelligent and efficient. One of the key propulsive forces behind these emerging techniques is CMOS scaling that...
Resource Type:: Dissertation

Inheritance of resistance to head smut disease in maize (Zea mays L.)

Creator:: Akhtar, Ali
Resource Type:: Dissertation
Full Text:: recently found that clip- ping of sweet corn plants at 4- to 5-leaf stage markedly increases infection

Multi-channel Stochastic Resource Allocation and Dynamic Access Scheduling

Creator:: Wang, Qiwei
Abstract:: Modern communication systems often have the ability to transmit signals on multiple communication mediums (e.g., RF, visible light) or interfaces (e.g., MAC layer protocols) at the same time. While each channel has different characteristics, a centralized controller with channel condition information will be able to schedule the resource allocated to...
Resource Type:: Dissertation

Stereoselective synthesis & application of enantioenriched main group α-haloalkyl organometal reagents

Creator:: Emerson, Christopher R.
Abstract:: Sulfoxide-ligand exchange (SLE) and asymmetric halogen-metal exchange (AHME) processes were separately examined for the enantioselective synthesis of functionalized alpha-haloalkylmetal (carbenoid) reagents. Carbenoids derived from SLE were used to effect stereospecific reagent-controlled homologation (StReCH) of boronic esters and those generated via AHME were engaged in Darzens-type chemistry with aldehydes. Abstract for...
Resource Type:: Dissertation

John Archibald Wheeler : a study of mentoring in modern physics

Creator:: Christensen, Terry M.
Abstract:: This dissertation has two objectives. The first objective is to determine where best to situate the study of mentoring (i.e. the 'making of scientists') on the landscape of the history of science and science studies. This task is accomplished by establishing mentoring studies as a link between the robust body...
Resource Type:: Dissertation

Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Creator:: Koul, Anurag
Abstract:: Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...
Resource Type:: Dissertation

The effects of ocean variability and breaking waves on wave energy converter reliability and survivability

Creator:: Brown, Adam
Abstract:: The reliability and survivability of a wave energy converter (WEC) is highly dependent on the variability and non-linearity of the ocean itself. Ocean variability occurs on many time scales. Climate variability occurs decade-to-decade, and year-to-year in the number and intensity of winter storms. Seasonal variation of wave height and period...
Resource Type:: Dissertation

ScholarsArchive@OSU

Machine Learning Methods for Computational Sustainability

Predicting and Improving Throughput, Responsiveness and Battery Life of Computer Systems by Machine Learning

Analysis of nonlinear pharmacokinetic systems and the nonlinear disposition of phenylbutazone in equine (horses)

Sensor Interface Circuit Design towards CMOS Scaling

Inheritance of resistance to head smut disease in maize (Zea mays L.)

Multi-channel Stochastic Resource Allocation and Dynamic Access Scheduling

Stereoselective synthesis & application of enantioenriched main group α-haloalkyl organometal reagents

John Archibald Wheeler : a study of mentoring in modern physics

Investigating Latent State and Uncertainty Representations in Reinforcement Learning

The effects of ocean variability and breaking waves on wave energy converter reliability and survivability

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