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Work33

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Dissertation31
Report1

Creator

Besler, Emre1
Broad, Alexander Sherman1
Bruckner, Eric Paul1
Cambo, Scott Allen1
Camille Galles1
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Keyword

Machine Learning[remove]33
Deep Learning4
Breast Cancer2
Electronic Health Records2
Natural Language Processing2
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Subject

Computer science8
Materials Science5
Bioinformatics4
Applied mathematics2
Artificial intelligence2
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en24

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BIBD1
Northwestern Undergraduate Research Journal1
Undergraduate Research and Arts Expo1

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Filtering by: 2024-06-24 Remove constraint 2024-06-24 Keyword Machine Learning Remove constraint Keyword: Machine Learning

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Modeling Bacterial Infection Risk for Data-Driven Antibiotic De-Escalation in Critically Ill Adults

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
Design of Tungsten-free, L12-strengthened Cobalt-based Superalloys

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
Learning from Limited and Imperfect Data in Cyber-Physical System

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
Digitization for Innovative Platform Design and Advertising

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
Toward a Digital Twin of Metal Additive Manufacturing: Process Optimization and Control Enabled by Physics-based and Data-driven Models

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
Designing Dynamic and Modular Biomolecules and Assays to Interrogate and Control Protein Fate

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
Computational Approaches for Enhanced Metabolomics Annotation and DNA-based Biorecording and Data Storage

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
Integrating Heterogeneous Traffic Data Sources with High Definition Maps in Autonomous Driving

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
Polymeric Nanomaterials for Photocatalysis and Regenerative Medicine: Integrating Machine Learning and Synthetic Approaches for Materials Design

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
Development of Informatics Methods for Analysis of Complex Gene Regulation and Transcriptome Diversity Data in Cancer

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

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