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-
- Description:
- Heterogeneous materials have been emerging and playing essential roles in various engineering and scientific fields. They usually include multiple phases of materials to create unique properties that are not accessible to their homogeneous counterparts. The traditional design approach in the material science community is to use trial-and-error iteratively, which is...
- Keyword:
- Bayesian Optimization, Materials Design, Response Surface Model, Machine Learning, and Mixed Variable
- Creator:
- Yichi Zhang
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 10/28/2019
- Date Modified:
- 10/28/2019
- Resource Type:
- Dissertation
-
- Description:
- Machine learning and symbolic reasoning have been two main approaches to build intelligent systems. Symbolic reasoning has been used in many applications by making use of expressive symbolic representations to encode prior knowledge, conduct complex reasoning and provide explanations. Recently, machine learning has enabled various successful applications by learning from...
- Keyword:
- Structural Alignment, Structured Prediction, Semantic Parsing, Machine Learning, Reinforcement Learning, and Symbolic Reasoning
- Subject:
- Computer Science
- Creator:
- Chen Liang
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 10/28/2019
- Date Modified:
- 10/28/2019
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
-
- Description:
- In this work, we explore the utility of the three main types of neural networks: feed forward, convolutional, and recurrent. While using these networks, we develop a new way to model multiagent trajectory data, explore the use of multiple activation functions for neurons at each layer of a neural network,...
- Keyword:
- Stock Prediction, Deep Learning, Basketball Trajectory, Activation Functions, and Machine Learning
- Subject:
- Engineering Sciences and Applied Mathematics
- Creator:
- Mark Harmon
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 10/14/2019
- Date Modified:
- 10/14/2019
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
-
- Description:
- A central question in neuroscience is how the brain plans movements. Here, I apply neural data analysis and machine learning methods to better understand both eye and arm movement planning, in particular focusing on naturalistic settings. First, I built encoding models to investigate the factors that led to neural activity...
- Keyword:
- Frontal Eye Field, Generalized Linear Model, Saccade, Neuroscience, Premotor Cortex, and Machine Learning
- Subject:
- Interdepartmental Neuroscience Program (NUIN)
- Creator:
- Joshua I Glaser
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 02/22/2019
- Date Modified:
- 02/22/2019
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
-
- Description:
- Social media such as Twitter has risen as a powerful new communication medium for disseminating information on news, personal interests, experiences, and opinions. On social media, people talk about their lifestyle, health conditions and symptoms, search information on treatment options, and connect with people who have been through similar medical...
- Keyword:
- Healthcare, Data Mining, Twitter, Social Media, and Machine Learning
- Subject:
- Computer Science
- Creator:
- Kathy Lee
- Owner:
- digitalpublishing@northwestern.edu
- Date Uploaded:
- 02/15/2019
- Date Modified:
- 02/15/2019
- Date Created:
- 2017-01-01
- Resource Type:
- Dissertation
-
- Description:
- The impacts of many important technologies are limited by the availability of better-performing materials. One factor limiting the ability of engineers to develop better materials is the speed at which they can search through possible formulations and processing schemes. Recently, machine learning algorithms have emerged as a possible route to...
- Keyword:
- Materials Science, Crystal Structure Solution, Metallic Glasses, Density Functional Theory, and Machine Learning
- Subject:
- Materials Science and Engineering
- Creator:
- Logan Timothy Ward
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 03/13/2018
- Date Modified:
- 03/13/2018
- Date Created:
- 2017-01-01
- Resource Type:
- Dissertation
-
- Description:
- Pattern recognition algorithms have been proposed as a way to control powered lower limb prostheses, specifically for transitioning between the different pre-programmed locomotion modes of the prosthesis (e.g., level ground walking, stair ascent, etc.). However, these algorithms cannot track changes in the statistical characteristics of input signals, and do not...
- Keyword:
- Prosthetics, Adaptation, Rehabilitation, Engineering, and Machine Learning
- Subject:
- Biomedical Engineering
- Creator:
- John Andreou Spanias
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 02/13/2018
- Date Modified:
- 02/13/2018
- Date Created:
- 2016-01-01
- Resource Type:
- Dissertation
-
- Description:
- Connecting structure and function in nanoscale engineered materials and devices relies on the analysis of the fundamental arrangement of matter, frequently under dynamic conditions. The demand to image structures at fundamental length scales has touched inorganic materials, biology, and frequently hybrid hard/soft materials with unique phenomena driven by heterogeneous components....
- Keyword:
- Imaging, Materials Imaging, Soft Materials, Crystallography, Machine Learning, and Electron Microscopy
- Subject:
- Nanoscience, Materials Science, and Computer science
- Creator:
- Hujsak, Karl
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14515 and etdadmin_upload_638887
-
- Description:
- Radiofrequency ablation is a minimally-invasive treatment method that aims to destroy undesired tissue by exposing it to alternating current in the 100 kHz to 800 kHz frequency range and heating it until it is destroyed via coagulative necrosis. Ablation treatment is gaining momentum especially in cancer research, where the undesired...
- Keyword:
- Ensemble Learning, Integrated Circuit, Cancer Therapy, Hardware Design, Machine Learning, and Ablation
- Subject:
- Artificial intelligence, Electrical engineering, and Biomedical engineering
- Creator:
- Besler, Emre
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 04/15/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_786973 and http://dissertations.umi.com/northwestern:15432
-
- Description:
- Breakthroughs in large-scale biological data collection have resulted in a wealth of -omics (genomics, metabolomics, etc.) datasets in the literature. However, the development of appropriate computational techniques for their analysis is lacking, yet crucial for fully extracting the rich information contained in these datasets. The work in this dissertation describes...
- Keyword:
- Biorecording, Data Storage, Cheminformatics, Metabolomics Annotation, Machine Learning, and TdT
- Subject:
- Bioengineering, Bioinformatics, and Biochemistry
- Creator:
- Strutz, Jonathan
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_911481 and http://dissertations.umi.com/northwestern:16126
-
- Description:
- The theory of how humans and machines control and communicate with each other is at the core of the scientific field known as Human-Robot Interaction (HRI). Researchers in this sub-discipline of robotics are therefore particularly interested in developing methods to chuppahreduce the inherent friction in this communication and control channel....
- Keyword:
- Human-Robot Interaction, Data-driven Control, Machine Learning, and Optimal Control
- Subject:
- Robotics and Computer science
- Creator:
- Broad, Alexander Sherman
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_683518 and http://dissertations.umi.com/northwestern:14789
-
- Description:
- Recent developments have enabled L12-strengthened Co-based superalloys, which have thepotential to surpass Ni-based superalloys as the material of choice for the hottest sections of turbine blades due to cobalt’s 40 ºC higher melting point. The most-studied branch of Co-based superalloys are based on the L12 phase Co3(Al,W); however, there is...
- Keyword:
- Superalloys, Cobalt, Microstructure, Machine Learning, Creep, and High Entropy Alloys
- Subject:
- Materials Science
- Creator:
- Ohl, Brandon
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 05/31/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_971014 and http://dissertations.umi.com/northwestern:16450
-
- Description:
- Annual age-adjusted breast cancer incidence rates in the United States have been static for decades. More recently, the development of massively parallel, high throughput DNA sequencing has enabled the cataloging of somatic mutations in cancer. Mutations are non-random and occur within sequence motifs. These motifs provide us with evidence to...
- Keyword:
- Natural Language Processing, Electronic Health Records, Genomics, Mutational Processes, Breast Cancer, and Machine Learning
- Subject:
- Bioinformatics and Computer science
- Creator:
- Zeng, Zexian
- 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:14500 and etdadmin_upload_635668
-
- Description:
- Cancer has long been the second-leading cause of death in the United States and represents the leading cause of death in midlife (age 40-60). While the prognosis for many cancers has vastly improved over the last thirty years, many cancers remain elusive due to the late-onset of symptoms, the specific...
- Keyword:
- Antibodies, Protein Switch, Cell Patterning, Machine Learning, and Breast Cancer
- Subject:
- Biomedical engineering
- Creator:
- Sykora, Daniel Joseph
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/16/2023
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_936187 and http://dissertations.umi.com/northwestern:16305
-
- Description:
- Automated driving has become a very popular topic in the recent years and is becoming more and more of a reality. In this new trend, High Definition (HD) maps play an important role in many ways that will provide a safer and more efficient driving experience, especially in terms of...
- Keyword:
- Data Consumption, Prediction, Autonomous Driving, High Definition Maps, and Machine Learning
- Subject:
- Computer science
- Creator:
- Zang, Andi
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_879487 and http://dissertations.umi.com/northwestern:15935
-
- Description:
- Machine learning is seeping into every fabric in various practical domains such as autonomous driving, wearable computing, and smart buildings. However, in the actual development and integration, especially when the learning-based components are frequently included as components of large complex systems where the physical instances can be included as interactable...
- Keyword:
- Transfer Learning, Reinforcement Learning, Computer Vision, Building HVAC Control, Image Classification, and Machine Learning
- Subject:
- Computer engineering and Computer science
- Creator:
- Xu, Shichao
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 05/31/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_983783 and http://dissertations.umi.com/northwestern:16519
-
- Description:
- Recently, machine learning and deep learning, which have made many theoretical and empir- ical breakthroughs and is widely applied in various fields, attract a great number of researchers and practitioners. They have become one of the most popular research directions and plays a sig- nificant role in many fields, such...
- Keyword:
- Algorithm Design, Deep Learning, Optimization, and Machine Learning
- Subject:
- Applied mathematics and Operations research
- Creator:
- Fang, Biyi
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/02/2022
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15817 and etdadmin_upload_855647
-
- Description:
- Connected and automated vehicle (CAV) technology is a disruptive transportation development with potentially transformative impacts on society and the economy. CAV systems promise to significantly reduce human-caused road crashes, improve traffic flow performance, and lower pollutant emissions. However, realizing those benefits requires strategic planning for the deployment of CAV systems...
- Keyword:
- Speed Harmonization, Connected and Automated Vehicles, Shockwave Detection, and Machine Learning
- Subject:
- Transportation
- Creator:
- Elfar, Amr
- 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:14667 and etdadmin_upload_662894
-
- Description:
- Mammalian transcriptional regulation is well-known to be complex and highly context dependent. Different genetic and epigenetic features, including single nucleotide polymorphisms (SNPs) that function as cis- or trans-expression quantitative trait loci (eQTLs), transcription factor (TF) interaction profile with cis-regulatory elements (CREs), methylation of CpG dinucleotide sequences, and histone modification that...
- Keyword:
- Bioinformatics, Transcriptomics, Gene regulation, Deep Learning, Machine Learning, and Drug discovery
- Subject:
- Bioinformatics, Genetics, and Oncology
- Creator:
- Ji, Yanrong
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/28/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_818497 and http://dissertations.umi.com/northwestern:15562
-
- Description:
- Supervised learning model is one of the most fundamental machine learning models. It can provide powerful capability of prediction by learning complex patterns hidden in many, sometimes thousands, predictors. It can also be used as a building block of other machine learning tasks, like unsupervised learning and reinforcement learning. Such...
- Keyword:
- Stochastic Microstructures, Fisher Score, Deep Learning, Machine Learning, Concept Drift, and Nonstationarity Analysis
- Subject:
- Materials Science, Statistics, and Computer science
- Creator:
- Zhang, Kungang
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_765218 and http://dissertations.umi.com/northwestern:15297