Browsing Doctoral Theses by Title
Now showing items 11614-11633 of 22187
-
M-lattice, a system for signal synthesis and processing based on reaction-diffusion
(Massachusetts Institute of Technology, 1994) -
M13 bacteriophage-enabled assembly of nanocomposites : synthesis and application in energy conversion devices
(Massachusetts Institute of Technology, 2013)Lack of energy supply and non-uniform distribution of traditional energy sources, such as coal, oil, and natural gas, have brought up tremendous social issues. To solve these issues, highly efficient energy conversion ... -
M13 virus-enabled assembly of 3D nanostructured composites : synthesis and applications in solar energy conversion and electrochemical energy storage devices
(Massachusetts Institute of Technology, 2015)We live in an age where our society faces the great challenge of generating, storing and transporting energy in responsible ways that minimize impact to the environment. Significant effort has been spent to develop new ... -
M13 virus/single-walled carbon nanotubes as a materials platform for energy devices and biomedical applications
(Massachusetts Institute of Technology, 2011)Making nanocomposites from combinations of materials each with their own unique functional advantage can often solve issues that cannot be addressed when utilizing only one type of materials. Therefore, controlling ... -
Machine Aided Biological Discovery and Design
(Massachusetts Institute of Technology, 2022-09)Advances in biotechnology and the life sciences are primarily driven by biologists conducting rigorous experimentation. However, biology is often too complex – with intractable combinatorial search spaces and functional ... -
The machine casting of high temperature semi-solid metals.
(Massachusetts Institute of Technology, 1975) -
Machine Learning Algorithms and Applications in Health Care
(Massachusetts Institute of Technology, 2022-02)There have been many recent advances in machine learning, resulting in models which have had major impact in a variety of disciplines. Some of the best performing models are black boxes, which are not directly interpretable ... -
Machine learning and causality: Building efficient, and reliable models for decision-making
(Massachusetts Institute of Technology, 2021-06)We explore relationships between machine learning (ML) and causal inference. We focus on improvements in each by borrowing ideas from one another. ML has been successfully applied to many problems, but the lack of strong ... -
Machine learning and coresets for automated real-time data segmentation and summarization
(Massachusetts Institute of Technology, 2016)In this thesis, we develop a family of real-time data reduction algorithms for large data streams, by computing a compact and meaningful representation of the data called a coreset. This representation can then be used to ... -
Machine Learning and Variational Algorithms for Lattice Field Theory
(Massachusetts Institute of Technology, 2021-06)Discretizing fields on a spacetime lattice is the only known general and non-perturbative regulator for quantum field theory. The lattice formulation has, for example, played an important role in predicting properties of ... -
Machine Learning Applications For Neurological Diseases
(Massachusetts Institute of Technology, 2022-09)Neurological conditions affect the brain and other parts of the nervous system. This includes neurodegenerative diseases like Huntington’s Disease, psychiatric conditions like schizophrenia, and brain cancers like glioblastoma. ... -
A machine learning approach to crystal structure prediction
(Massachusetts Institute of Technology, 2007)This thesis develops a machine learning framework for predicting crystal structure and applies it to binary metallic alloys. As computational materials science turns a promising eye towards design, routine encounters with ... -
A machine learning approach to modeling and predicting training effectiveness
(Massachusetts Institute of Technology, 2015)Developments in online and computer-based training (CBT) technologies have enabled improvements in efficiency, efficacy, and scalability of modern training programs. The use of computer-based methods in training programs ... -
Machine Learning Approaches for Characterizing ALS Disease Progression
(Massachusetts Institute of Technology, 2022-05)Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease that is complex in its onset, pattern of spread, and disease progression. This heterogeneity makes it challenging to identify potential therapeutics ... -
Machine Learning Approaches for Equitable Healthcare
(Massachusetts Institute of Technology, 2022-09)With the proliferation of clinical data and algorithms to improve clinical care, researchers are increasingly concerned about the equity and fairness of the resulting machine learning models. Because the observational data ... -
Machine learning approaches to challenging problems : interpretable imbalanced classification, interpretable density estimation, and causal inference
(Massachusetts Institute of Technology, 2018)In this thesis, I address three challenging machine-learning problems. The first problem that we address is the imbalanced data problem. We propose two algorithms to handle highly imbalanced classification problems. The ... -
Machine Learning Approaches to Multi-Modal Data Integration and Translation in Single-Cell Biology
(Massachusetts Institute of Technology, 2022-09)Building a complete picture of cell state requires measuring different properties of the cells, such as their gene expression, morphology, etc., and understanding 1) how these properties relate to each other, 2) how they ... -
Machine Learning Assisted Superconducting Qubit Readout
(Massachusetts Institute of Technology, 2021-09)Quantum computers hold the promise to solve specific problems significantly faster than classical computers. However, to realize a practical quantum computer, the quantum processor’s constituent components, their control, ... -
Machine Learning Based Algorithms for Improving Forecasting in Subsurface Energy Resources
(Massachusetts Institute of Technology, 2023-06)Energy is an essential human need that is necessary for maintaining and improving quality of life. It also plays a crucial role in sustaining and developing the world economy. Accurate production forecasting models are ... -
A machine learning based logic branching algorithm for automated assembly
(Massachusetts Institute of Technology, 1991)