Index Catalog // ScholarsArchive@OSU

Deep Learning for Human and Biological Languages

Creator:: Hong, Junki
Abstract:: We explore the application of deep learning to the disparate fields of natural language processing and computational biology. Both the sentences uttered by humans as well as the RNA and protein sequences found within the cells of their bodies can be considered formal languages in computer science, as sets of...
Resource Type:: Dissertation
Full Text:: Human and Biological Languages Abstract approved: David Hendrix and Liang Huang We explore the

Protein Disorder in the Evolution of Dynein Regulation

Creator:: Jie, Jing
Abstract:: Intrinsically disordered proteins (IDP) are a class of proteins that lack a three-dimensional structure and their prevalence and diverse functions in the cell have only been discovered relatively recently. The intermediate chain (IC) subunit of the microtubule motor protein complex dynein contains an N-terminal disordered region, N-IC, which is central...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Jing Jie for the

Channel estimation and data detection for mobile MIMO OFDM systems

Creator:: Gao, Jie
Abstract:: Designing spectral efficient, high-speed wireless links that offer high quality- of-service and range capability has been a critical research and engineering challenge. In this thesis, we mainly address the complexity and performance issues of channel estimation and data detection in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems over...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE THESIS OF Jie Gao for the degree of Doctor of

Space time coding in MIMO systems

Creator:: Xian, Liang
Abstract:: Multiple-input multiple-output (MIMO) antenna technology is promising for high-speed wireless communications without increasing the transmission band- width. Space time coding (STC) is a scheme that employs multiple antennas to increase transmission rate or to improve transmission quality. STC is used widely in mobile cellular networks, wireless local area networks (WLAN)...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE THESIS OF Liang Xian for the degree of Doctor of

Linear-time Algorithms for RNA Folding: Partition Function, Stochastic Sampling and RNA-RNA Interaction

Creator:: Zhang, He
Abstract:: RNAs play important roles in the central dogma of molecular biology, and are involved in multiple biology processes such as chromatin modification, transcriptional interference and translation initiation. The functions of RNAs, especially non-coding RNAs, are highly related to its secondary structures, therefore computational methods for RNA structure prediction are of...
Resource Type:: Dissertation
Full Text:: approved: Liang Huang Li-Jing Cheng RNAs play important roles in the central dogma of molecular biology

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:: ∈ Bi, its true label yi,j ∈ Yi. The work of Jie et al. [32] and Briggs et al. [13] learn classifiers

Learning with Limited Labeled Data in Natural Language Processing

Creator:: Obeidat, Rasha
Abstract:: The advent of deep learning models leads to a substantial improvement in a wide range of NLP tasks, achieving state-of-art performances without any hand-crafted features. However, training deep models requires a massive amount of labeled data. Labeling new data as a new task or domain emerges consumes time and efforts...
Resource Type:: Dissertation
Full Text:: . Liang Huang, Prof Stephen A Ramsey, Prof. Brett Tyler, and Prof. Sushma Naithani, for their insight

Improving and Understanding Deep Models for Natural Language Comprehension

Creator:: Ghaeini, Reza
Abstract:: Natural Language Comprehension is a challenging domain of Natural Language Processing. To improve a model’s language comprehension/understanding, one approach would be to enrich the structure of the model to enhance its capability in learning the latent rules of the language. In this dissertation, we will ﬁrst introduce several deep models...
Resource Type:: Dissertation
Full Text:: . Prasad Tadepalli, Dr. Liang Huang, Dr. David Hendrix, and Dr. Kipp Shearman, for all of their invaluable

Effect of kinetic energy on the doping efficiency of cesium cations into superfluid helium droplets

Creator:: Chen, Lei, Zhang, Jie, Freund, William M., and Kong, Wei
Abstract:: We present an experimental investigation of the effect of kinetic energy on the ion doping efficiency of superfluid helium droplets using cesium cations from a thermionic emission source. The kinetic energy of Cs⁺ is controlled by the bias voltage of a collection grid collinearly arranged with the droplet beam. Efficient...
Resource Type:: Article
Full Text:: of cesium cations into superfluid helium droplets Lei Chen, Jie Zhang, William M. Freund, and Wei

A global database of water vapor isotopes measured with high temporal resolution infrared laser spectroscopy

Creator:: Wei, Zhongwang, Lee, Xuhui, Aemisegger, Franziska, Benetti, Marion, Berkelhammer, Max, Casado, Mathieu, Caylor, Kelly, Christner, Emanuel, Dyroff, Christoph, Garcia, Omaira, Gonzalez, Yenny, Griffis, Timothy, Kurita, Naoyuki, Liang, Jie, Liang, Mao-Chang, Lin, Guanghui, Noone, David, Gribanov, Konstantin, Munksgaard, Niels C., Schneider, Matthias, Ritter, Francois, Steen-Larsen, Hans Christian, Vallet-Coulomb, Christine, Wen, Xuefa, Wright, Jonathon S., Xiao, Wei, and Yoshimura, Kei
Abstract:: The isotopic composition of water vapour provides integrated perspectives on the hydrological histories of air masses and has been widely used for tracing physical processes in hydrological and climatic studies. Over the last two decades, the infrared laser spectroscopy technique has been used to measure the isotopic composition of water...
Resource Type:: Article
Full Text:: García11, Yenny González11,12, Timothy Griffis13, Naoyuki Kurita14, Jie Liang15, Mao-Chang Liang16

ScholarsArchive@OSU

Deep Learning for Human and Biological Languages

Protein Disorder in the Evolution of Dynein Regulation

Channel estimation and data detection for mobile MIMO OFDM systems

Space time coding in MIMO systems

Linear-time Algorithms for RNA Folding: Partition Function, Stochastic Sampling and RNA-RNA Interaction

Machine Learning Methods for Computational Sustainability

Learning with Limited Labeled Data in Natural Language Processing

Improving and Understanding Deep Models for Natural Language Comprehension

Effect of kinetic energy on the doping efficiency of cesium cations into superfluid helium droplets

A global database of water vapor isotopes measured with high temporal resolution infrared laser spectroscopy

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