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Now showing items 241-250 of 2403
Design, process, and reliability considerations in silicon-on-insulator (SOI) MOSFETs
(Massachusetts Institute of Technology, 1998)
Modeling of chemical mechanical polishing for dielectric planarization
(Massachusetts Institute of Technology, 1999)
Chemical mechanical polishing (CMP) has emerged as the dielectric planarization method of choice since it can reduce topography over longer length scales than traditional techniques. However, CMP still suffers from large ...
Generation and storage of ultrashort pulses using optical fiber devices
(Massachusetts Institute of Technology, 1999)
Three different types of optical fiber devices were investigated for this thesis: actively modelocked fiber lasers, optical fiber ring buffers, and passively mode-locked fiber lasers. Intra-cavity soliton compression was ...
Planning and control in stochastic domains with imperfect information
(Massachusetts Institute of Technology, 1997)
Towards Data-Driven Internet Routing Security
(Massachusetts Institute of Technology, 2021-09)
The Internet infrastructure is critical for the security and reliability of online daily life. The Border Gateway Protocol (BGP), the defacto global routing protocol, was not designed to cope with untrustworthy parties, ...
Learning Through the Lens of Robustness
(Massachusetts Institute of Technology, 2021-09)
Despite their impressive performance on large-scale benchmarks, machine learning sys- tems turn out to be quite brittle outside of the exact setting in which they were developed.
How can we build ML models that are ...
A Spectral Approach to Noninvasive ICP Estimation: From Modeling to Clinical and Experimental Validation
(Massachusetts Institute of Technology, 2021-06)
Intracranial pressure (ICP) is a cranial vital sign for monitoring patients with head injuries and to guide treatment decisions. Clinical ICP measurements are highly invasive and hence, ICP measurement is limited to ...
Machine Learning Beyond Accuracy: A Features Perspective On Model Generalization
(Massachusetts Institute of Technology, 2021-09)
Prompted by its performance on a variety of benchmark tasks, machine learning (ML) is now being applied to tackle real-world problems. Yet, there is growing evidence that benchmark performance does not convey the full ...
Mining Software Artifacts for use in Automated Machine Learning
(Massachusetts Institute of Technology, 2021-06)
Successfully implementing classical supervised machine learning pipelines requires that users have software engineering, machine learning, and domain experience. Machine learning libraries have helped along the first two ...
Light-Matter Interactions in High-Efficiency Photovoltaics, Light-Emitting Devices, and Strongly Coupled Microcavities
(Massachusetts Institute of Technology, 2022-05)
The interactions of light and matter drive many of today’s devices, from electricity generation and consumption to manipulation. Within electricity generation, emerging thin film photovoltaics now rival traditional ...