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-
- 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
-
- Description:
- Stroke affects millions of people each year and although modern medicine has improved chances of survival after stroke, it has not yet been able to affect a change in repairing damaged neural tissue leaving one to two-thirds of survivors with chronic disability in their affected upper-extremity; specifically, hemiparesis, hypertonicity, loss...
- Keyword:
- Stroke, Pattern Recognition, Hemiparesis, Abnormal Synergy, Rehabilitation, and Machine Learning
- Subject:
- Robotics
- Creator:
- Kopke, Joseph
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/28/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15547 and etdadmin_upload_817626
-
- Description:
- Soft materials such as colloids and polymers often exhibit a variety of mesoscopic structures that are governed merely by weak physical interactions. Due to these intermediate structures, they can be easily taken out of thermal equilibrium by introducing external stimuli such as a shear flow and electromagnetic fields. This thesis...
- Keyword:
- Phase transition, Nonequilibrium dynamics, Coarse-grained simulations, Self-assembly, Soft matter, and Machine Learning
- Subject:
- Materials Science, Computational physics, and Statistical physics
- Creator:
- Han, Ming
- 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:14411 and etdadmin_upload_618073
-
- Description:
- Bacterial infections (BI) are a frequent, expensive, and life-threatening condition for critically ill patients. For patients with serious BI, minimizing the time between admission to the intensive care unit (ICU) and administration of appropriate antibiotic therapy is crucial to improve prognosis. However, the current gold-standard for identifying the appropriate antimicrobials...
- Keyword:
- MIMIC, Antibiotic Stewardship, Clinical Prediction, Critical Care, Machine Learning, and Electronic Health Records
- Subject:
- Icelandic & Scandinavian literature and Bioinformatics
- Creator:
- Eickelberg, Garrett
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 08/23/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_999752 and http://dissertations.umi.com/northwestern:16645
-
- Description:
- Technology that processes text, audio and video, as well as location data, has revolutionized many industries by enabling innovative operations for customer retention. To retain transactions for a platform and viewers for advertisers, this dissertation leverages novel digital tools to analyze consumer behavior, proposes original economic frameworks to guide platform...
- Keyword:
- Ad Avoidance, Multimedia Data, Platform, Geolocation, Machine Learning, and Disintermediation
- Subject:
- Marketing, Economics, and Information technology
- Creator:
- Xie, Yingkang
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 05/31/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16589 and etdadmin_upload_986414
-
- Description:
- Deep neural networks have achieved remarkable success in the past decade on tasks that were out of reach prior to the era of deep learning. Amongst the myriad reasons for these successes are powerful computational resources, large datasets, new optimization algorithms, and modern architecture designs. Most of the reasons are...
- Keyword:
- Statistical Physics, Deep Learning, and Machine Learning
- Subject:
- Statistical physics
- Creator:
- Wei, Mingwei
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_777448 and http://dissertations.umi.com/northwestern:15367
-
- Description:
- The ability to control the crystalline ordering and morphology of polymeric nanomaterials is a grand challenge in the field of materials science, which could enable the development of functional materials able to solve long-standing problems in renewable energy and medicine. In this work, we explore a combination of supramolecular chemistry...
- Keyword:
- Regenerative Medicine, Supramolecular Polymer, Peptide Amphiphiles, Covalent Polymer, Photocatalysis, and Machine Learning
- Subject:
- Nanotechnology and Materials Science
- Creator:
- Bruckner, Eric Paul
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_894432 and http://dissertations.umi.com/northwestern:15994
-
- Description:
- The world is awash in data and much of artificial intelligence focuses on learning models of the underlying structure in this data or the mechanisms governing its evolution. Both neural and symbolic models have weaknesses that make these models sub-optimal from a use perspective. Much of this data is in...
- Keyword:
- Neural-Symbolic Models, Natural Language Processing, Artificial Intelligence, Neural Network Language Models, Finance Models, and Machine Learning
- Subject:
- Computer science
- Creator:
- Demeter, David
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_769746 and http://dissertations.umi.com/northwestern:15319
-
- Description:
- The study of employee engagement and its consequences in the workplace has gained traction in the business world over the past decade, with dramatic claims of the direct consequences of engagement including lower absenteeism, higher sales, improved productivity, and increased profitability for organizations that are more engaged (The Gallup Organization,...
- Keyword:
- Employee Engagement, Personality, Workplace Engagement, and Machine Learning
- Subject:
- Personality psychology and Psychology
- Creator:
- Hall, Andrew N
- 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:15380 and etdadmin_upload_779877
-
- Description:
- While optimization has received much attention in the machine learning community, most of them consider unconstrained supervised learning models such as neural networks and support vector machine. In this dissertation, we introduce a new class of optimization problems called scale invariant problems that include interesting unsupervised learning models such as...
- Keyword:
- Power Iteration, PCA, Optimization, Machine Learning, Scale Invariance, and KL-NMF
- Subject:
- Applied mathematics and Operations research
- Creator:
- Kim, Cheolmin
- 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:15139 and etdadmin_upload_744178
-
- Description:
- This thesis focuses on applications of recurrent neural networks (RNNs) for three aspects of sequential classification. In the first chapter, a novel method to generate synthetic minority data generation to improve imbalanced classification is discussed. Generative Adversarial Networks (GANs) have been used in many different applications to generate realistic synthetic...
- Keyword:
- Explainability, Recurrent Neural Networks, and Machine Learning
- Subject:
- Applied mathematics
- Creator:
- Ger, Stephanie Kwang-Yu
- 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:15394 and etdadmin_upload_780385
-
- Description:
- Data Science and related fields like Artificial Intelligence, Machine Learning, and Statistics provide indispensable research methods for understanding a wide variety of phenomena from large datasets. However, as methodical and empirical as these methods aim to be, there are many subjective and discretionary choices that the data scientist must make...
- Keyword:
- human computation, inter-annotator agreement, algorithmic bias, content moderation, and Machine Learning
- Subject:
- Information science, Artificial intelligence, and Computer science
- Creator:
- Cambo, Scott Allen
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/28/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_810456 and http://dissertations.umi.com/northwestern:15510
-
- Description:
- In recent decades, metal additive manufacturing has seen rapid advancements, offering promising applications across various industries. However, addressing existing challenges in metal AM, such as process stability, defect avoidance, and quality control, is essential for fully exploiting its potential in fabricating parts with a desired geometry, as well as tailored...
- Keyword:
- Physics-based Model, Digital Twin, Data-driven Model, Machine Learning, and Additive Manufacturing
- Subject:
- Mechanical engineering
- Creator:
- Liao, Shuheng
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 05/31/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16572 and etdadmin_upload_985942