Index Catalog // ScholarsArchive@OSU

Creator:: Alqwaifly, Nawaf
Abstract:: This work gives some theory and efficient design of binary block codes capable of controlling the deletions of the symbol “0” (referred to as 0-deletions) and/or the insertions of the symbol “0” (referred to as 0-insertions). This problem of controlling 0-deletions and/or 0-insertions (referred to as symmetric 0-errors) is shown...
Resource Type:: Dissertation

Creator:: Hu, Changhui
Abstract:: Short-range wireless communications continually attract interest from both industry and academia, and it is changing our life in every aspect in the last decade. The design of wireless transceivers is the bottleneck for variety applications, due to RF modeling inaccuracy, stringent FCC regulations over the transmitted power spectrum, interference, multi-path...
Resource Type:: Dissertation

Creator:: Behmardi, Behrouz
Abstract:: Multi-instance data, in which each object (e.g., a document) is a collection of instances (e.g., word), are widespread in machine learning, signal processing, computer vision, bioinformatic, music, and social sciences. Existing probabilistic models, e.g., latent Dirichlet allocation (LDA), probabilistic latent semantic indexing (pLSI), and discrete component analysis (DCA), have been...
Resource Type:: Dissertation

Creator:: Sall, Khadidiatou
Abstract:: Seed dormancy is defined as the inability of viable seeds to germinate under conditionsotherwise favorable for germination. Dormancy provides a strategy for seeds to germinateat an appropriate time. Abscisic acid (ABA) is a major hormone involved in the regulationof seed dormancy. To elucidate the molecular mechanisms of dormancy, the twoexperimental...
Resource Type:: Dissertation

Creator:: Vu, Trung
Abstract:: Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...
Resource Type:: Dissertation

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