Index Catalog // ScholarsArchive@OSU

On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data

Creator:: Roth, Mark
Abstract:: This paper discusses opportunities for developments in spatial clustering methods to help leverage broad scale community science data for building species distribution models (SDMs). SDMs are critical tools that inform the science and policy needed to mitigate the impacts of climate change on biodiversity. Community science data span spatial and...
Resource Type:: Capstone Project

Indoor Localization Using Direction of Arrival Approach

Creator:: Zhang, Tingwei
Abstract:: In this paper, a Direction of Arrival (DOA) based system is proposed. This method searches the direction relative to the array to find where the signal source is located. The proposed system can achieve sub-meter level accuracy with a near real-time update rate. Also, we introduced several refinement methods including...
Resource Type:: Masters Thesis
Full Text:: Technique, which was introduced by Richard Roy and Thomas Kailath in 1989 [43]. It is another method based

Flex-shape convolution and an interactive image segmentation system

Creator:: Zhou, Zheng
Abstract:: Semantic image segmentation is a relatively difficult task in computer vision. With the advent of deep learning, semantic image segmentation is increasingly of interest for researchers because of the excellent predictions from Convolutional Neural Network (CNN). However, CNNs have proven to struggle with obtaining global context of image due to...
Resource Type:: Masters Thesis

Classifying and Synthesizing 3D Shapes of Objects using Deep Neural Networks

Creator:: Xu, Xu
Abstract:: Reasoning about 3D shape of objects is important for successful computer visionapplications in robotics, 3D rendering and modeling. In this thesis, we address twoproblems { First, given an image, we generate 3D shape of the foreground object thatappears in the image. Second, we predict the class label of the input...
Resource Type:: Masters Thesis

Infant Hand Detection and Tracking

Creator:: Mishra, Shridhar
Abstract:: Hand detection is a fundamental step for many hand-related computer vision tasks, such as gesture recognition, hand pose estimation, hand sign language translation, and so on. However, robustly detecting hands is a challenging task because of drastic changes in appearance based on finger articulation and changes in lighting conditions, camera...
Resource Type:: Masters Thesis
Full Text:: adults driving cars, and most of the train samples consist of egocentric videos. Roy et al. [36

Measurement and characterization of ultra-wideband wireless interconnects within active computing systems

Creator:: Woracheewan, Sirikarn
Abstract:: Ultra-wideband (UWB) radio has become an attractive alternative for wireless communications due to the robustness to multipath fading, low power transmission, mostly-digital implementation, and low cost. Furthermore, short-range, high data-rates applications are possible with UWB radios due to the wide spectral allocations at 3.1 - 10.6 GHz. This thesis presents...
Resource Type:: Masters Thesis

A case for application-based linear transformers : applied towards text-to-spectrogram

Creator:: Agostinelli, Victor
Abstract:: Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
Resource Type:: Masters Thesis

Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Creator:: Khorram, Saeed
Abstract:: In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
Resource Type:: Masters Thesis

Metal fill considerations for on-chip interconnects and spiral inductors

Creator:: Shilimkar, Vikas S.
Abstract:: Variability in circuit performance due to process defects is a major concern in integrated circuit (IC) fabrication. Advanced IC manufacturing processes employ Chemical-Mechanical Polishing (CMP) for planarization of oxide and metal layers. CMP defects result in variations in the oxide and metal topographical profile. To reduce these topographical variations, electrically...
Resource Type:: Masters Thesis

Machine Learning Methods for the Discovery and Analysis of MicroRNAs

Creator:: Bell, Jimmy D.
Abstract:: MicroRNAs are a highly conserved class of small endogenous RNA, about ~22nt in length, involved in post-transcriptional gene silencing and have prominent roles in disease and development. Though the process of microRNA discovery was once an arduous task, the advent of high throughput sequencing technology has resulted in novel microRNAs...
Resource Type:: Masters Thesis

ScholarsArchive@OSU

On the Role of Spatial Clustering Algorithms in Building Species Distribution Models from Community Science Data

Indoor Localization Using Direction of Arrival Approach

Flex-shape convolution and an interactive image segmentation system

Classifying and Synthesizing 3D Shapes of Objects using Deep Neural Networks

Infant Hand Detection and Tracking

Measurement and characterization of ultra-wideband wireless interconnects within active computing systems

A case for application-based linear transformers : applied towards text-to-spectrogram

Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

Metal fill considerations for on-chip interconnects and spiral inductors

Machine Learning Methods for the Discovery and Analysis of MicroRNAs

Limit your search

Academic Affiliation

Advisor

Commencement Year

Committee Member

Creator

Contributor

Date

Decade

Degree Field

Degree Level

Degree Name

Language

License

Non-Academic Affiliation

Peer Reviewed

Resource Type

Rights Statement

Subject

Search Constraints

Search Results

Limit your search