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machine learning
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-
- Description:
- Polymer nanocomposites have attracted great interest in recent years because of their potential as tailored materials with enhanced properties. Recent experiments have shown that polymer nanocomposites are able to achieve significant improvement in dielectrical, thermal, mechanical and other physical properties compared with their parent polymer systems. More importantly, these outstanding...
- Keyword:
- polymer nanocomposite, simulation, machine learning, optimization, database, and data mining
- Subject:
- Mechanical engineering
- Creator:
- Wang, Yixing
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_685582 and http://dissertations.umi.com/northwestern:14811
-
- Description:
- Platelets are circulating anucleate discs derived from megakaryocytes, and play major roles in hemostasis, inflammation, thrombosis, and vascular biology. Multi-phase culture systems for inducing in vitro platelet production from mature megakaryocytes have been explored to allow progenitor expansion, megakaryocyte maturation, and promotion of platelet formation and shedding. In this thesis,...
- Keyword:
- gaussian mixture models, stem cell differentiation, machine learning, and megakaryocyte
- Subject:
- Bioengineering, Bioinformatics, and Biology
- Creator:
- WU, JIA JIE
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_640286 and http://dissertations.umi.com/northwestern:14541
-
- Description:
- Cells are complex, autonomous machines that integrate many environmental cues to execute a desired response. Though this property makes cells versatile, it presents significant design challenges when, to treat diseases, we must alter cellular responses. To understand changes to the complex regulatory pathways that cause diseases, studies often investigate the...
- Keyword:
- systems biology, machine learning, dynamics, regulation, and differential gene expression
- Subject:
- Bioinformatics and Biology
- Creator:
- Finkle, Justin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14568 and etdadmin_upload_656753
-
- Description:
- Deep learning is a new area of machine learning research that allows deep neural networks composed of multiple processing layers to learn representations of data with multiple levels of abstraction. Deep learning has helped in achieving the objective of pushing machine learning closer to one of its original goals of...
- Keyword:
- deep neural networks, machine learning, deep learning, and artificial intelligence
- Subject:
- Computer engineering
- Creator:
- Jha, Dipendra Kumar
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 04/28/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_711601 and http://dissertations.umi.com/northwestern:14960
-
- Description:
- The task of classification has been increasingly attracting attention from researchers in recent years. The objective is to assign labels given attributes of samples. The classification task is practical in real-world applications and is widely explored in fields such as computer vision, natural language processing and information retrieval. The recent...
- Keyword:
- neural networks, classification, machine learning, and deep learning
- Subject:
- Artificial intelligence
- Creator:
- Xu, Yiming
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15370 and etdadmin_upload_778963
-
- Description:
- This dissertation asks how researchers can create more equitable algorithmic systems. Ultimately, this thesis explores methods and implications of representing subjects of analysis in the design and evaluation of algorithmic systems. I also unpack how algorithmic tools measure and quantify human behavior, giving heed to the potential impacts of these...
- Keyword:
- algorithms, machine learning, human-computer interaction, social discrimination, age discrimination, and algorithmic fairness
- Subject:
- Information science, Social research, and Computer science
- Creator:
- Díaz, Mark
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_762101 and http://dissertations.umi.com/northwestern:15226
-
- Description:
- Computational imaging (CI) is a class of imaging systems that optimize both the opto-electronic hardware and computing software to achieve task-specific improvements. Machine/deep learning models have proven effective in drawing statistical priors from adequate datasets. Yet when designing computational models for CI problems, physics-based models derived from the image formation...
- Keyword:
- computational imaging, machine learning, event-based vision, and holographic 3D display
- Subject:
- Optics and Computer science
- Creator:
- Wang, Zihao
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_763327 and http://dissertations.umi.com/northwestern:15240
-
- Description:
- Pseudomonas aeruginosa is an important gram-negative opportunistic pathogen whose large genome allows it to thrive in diverse environments. There is a wide range of phenotypic variation within the species, which can be attributed both to variation in sequences present in most isolates (the core genome) or the presence or absence...
- Keyword:
- Pseudomonas aeruginosa, antimicrobial resistance, machine learning, virulence, and genomics
- Subject:
- Microbiology
- Creator:
- Pincus, Nathan Benjamin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15326 and etdadmin_upload_770712
-
- Description:
- In the U.S., approximately 840,000 Americans die from cardiovascular disease (CVD) each year, and it is the leading cause of morbidity and mortality worldwide. The prevalence of CVD is on the rise and widespread disparities in CVD exist across economic, racial, and ethnic groups. In order to address the rising...
- Keyword:
- data science, informatics, machine learning, social determinants of health, and cardiovascular health
- Subject:
- Health sciences and Public health
- Creator:
- Zimmerman, Lindsay
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15739 and etdadmin_upload_844529
-
- Description:
- Mixing by cutting-and-shuffling (like that for a deck of cards or a Rubik's cube) is a paradigm that has not been studied in detail even though it can be applied in a variety of situations including the mixing of granular materials. Mathematically, cutting- and-shuffling is described by piecewise isometries (PWIs),...
- Keyword:
- granular materials, mixing, machine learning, piecewise isometries, cutting-and-shuffling, and interval exchange transforms
- Subject:
- Applied mathematics, Chemical engineering, and Mechanical engineering
- Creator:
- Lynn, Thomas Ferguson
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_881325 and http://dissertations.umi.com/northwestern:15951
-
- Description:
- In this document, I demonstrate that: 1) Linear basis functions cannot outperform nonlinear ones to represent hand kinematics 2) Nonlinear autoencoders outperform PCA on the dimensionality reduction of hand kinematics, 3) Nonlinear autoencoders outperform PCA in human gait representation and recurrent nonlinear autoencoders can seamlessly express the temporal dynamics, 4)...
- Keyword:
- kinematics, prosthetics, machine learning, gait, dimensionality reduction, and hand
- Subject:
- Engineering
- Creator:
- Portnova-Fahreeva, Alexandra
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16176 and etdadmin_upload_920776
-
- Description:
- In 2009, the Health Information Technology for Economic and Clinical Health Act (HITECH) promoted national use of electronic health records (EHR) in the US by giving incentives to providers who adopt ‘meaningful use’ of EHRs. As of 2017, nearly 86% of office-based physicians had adopted EHRs. EHRs have rich information...
- Keyword:
- computational phenotyping, real world evidence data, machine learning, biomedical informatics, deep learning, and electronic health records
- Subject:
- Bioinformatics
- Creator:
- Deng, Yu
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15969 and etdadmin_upload_886066
-
- Description:
- In recent years, machine learning on graphs (or networks) has gone from a niche topic with only a few active researchers worldwide, to a heavily invested field with novel use cases for dealing with relationships and/or interactions within complex systems in the natural and social sciences. Traditionally, choosing the right...
- Keyword:
- cognitive science, graph neural networks, machine learning, neuroimaging, image processing, and artificial intelligence
- Subject:
- Artificial intelligence, Electrical engineering, and Computer science
- Creator:
- Azcona, Emanuel Aquiles
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_922507 and http://dissertations.umi.com/northwestern:16184
-
- Description:
- Each neuron in the primary motor cortex (M1) is like a musician in an orchestra, contributing to a larger harmony under the constraint of a “neural manifold”—a geometric score describing the correlated signals produced by the neural musicians that drive movement. Despite the widespread recognition of the importance of M1...
- Keyword:
- neural networks, neural manifolds, motor control, machine learning, and brain-computer interface
- Subject:
- Biomedical engineering and Neurosciences
- Creator:
- Altan, Ege
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 08/23/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_1001502 and http://dissertations.umi.com/northwestern:16658
-
- Description:
- In the late 2000’s, scientific studies in cultural heritage saw a great advancement in macro X-ray fluorescence (XRF) imaging of paintings. These images are used to generate elemental distribution maps, which aid in identifying chemical elements and paint pig- ments as well as their locations throughout the layers of the...
- Keyword:
- machine learning, x-ray fluorescence, and image processing
- Subject:
- Artificial intelligence, Materials Science, and Computer science
- Creator:
- Chopp, Henry Hayashi
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 08/23/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_998414 and http://dissertations.umi.com/northwestern:16642