Composable probabilistic inference with BLAISE by Bonawitz, Keith A. (Keith Allen), 1980-

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Development of a liquid-fueled micro-combustor by Peck, Jhongwoo, 1976-

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Optimization of Lyapunov invariants in analysis and implementation of safety-critical software systems by Roozbehani, Mardavij

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Linguistically-motivated sub-word modeling with applications to speech recognition by Choueiter, Ghinwa F., 1980-

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Axisymmetric equilibrium and stability analysis in Alcator C-Mod, including effects of current profile, measurement noise and power supply saturation by Ferrara, Marco, Ph. D. Massachusetts Institute of Technology

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Single crystal silicon as a macro-world structural material : application to compact, lightweight high pressure vessels by Garza, Tanya Cruz

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Rubberbanding urbanism by Kim, Lora H., 1975-

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On the numerical solution of simultaneous, non-linear equations in computer-aided preliminary design by Kolb, Mark A.

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Creating and analyzing pathway and protein interaction compendia for modelling signal transduction networks by Kirouac, Daniel C, Saez-Rodriguez, Julio, Swantek, Jennifer, Burke, John M., Lauffenburger, Douglas A., Sorger, Peter K

“…Results: We have assembled an ensemble network from multiple on-line sources representing a significant portion of all machine-readable and reconcilable human knowledge on proteins and protein interactions involved in inflammation. …”
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Trajectory bundle estimation For perception-driven planning by Bachrach, Abraham Galton

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Multidelity approaches for design under uncertainty by Ng, Leo Wai-Tsun

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Experimental study of a high efficiency step-tunable MW gyrotron oscillator by Tax, David S. (David Samuel)

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Domain decomposition for Monte Carlo particle transport simulations of nuclear reactors by Horelik, Nicholas E. (Nicholas Edward)

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Sensor-based human activity recognition via zero-shot learning by Wang, Wei

“…In recent years, with the advance of the sensor technology and the development of the machine learning algorithms, it obtains much progress. …”
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Auxetic mechanical metamaterial based stretchable electronics by Jiang, Ying

“…Stretchable electronics have attracted tremendous attention in recent years, driven by the high demands of human-machine interfaces including wearable healthcare platform, implantable bioelectronics, soft robotics and so on. …”
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Community noise measure via crowd sourcing by Lim, Yun Jie

“…This final year project reports on the gathering of community noise data around Singapore, the classification of the noise source, eg. Machine, traffic, human and lastly the simulation of trees and their possible noise mitigating effects. …”
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Geophysical and anthropogenic drivers for global and regional fire emission trends from 2001 to 2019 by Wu, Sifeng, Smith, Stuart William, Lee, Janice Ser Huay

“…We identified geophysical and anthropogenic drivers for fire emission trends for regions defined by geographical regions and biomes with a causal model; and quantified driver importance with machine learning models by estimating their impact on fire emissions. …”
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Curiosity-driven learning in artificial intelligence and its applications by Sun, Chenyu

“…The integration of neural structures and bio-functionality into machine learning (ML) models is an emerging trend that aims to develop human-level artificial intelligence, enabling intelligent agents to learn efficiently and perform better. …”
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Quantum photonic computing chips and its algorithms by Zhu, Huihui

“…It provides secure encryption for communication, accurate emulation of practical physical systems, streamlined and accelerated machine learning models, and advanced computational powers that outperform classical supercomputers in solving complex problems. …”
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Transforming waste to catalyst: utilizing incineration ash for environmental solutions by Liu, Zheng

“…After measuring CO catalytic tests, it was estimated that the ceramic blocks made by incineration ash had good oxidation catalytic performance under 500°C, which average CO catalytic performance of IBA from TIP and TSIP was 15.3% and 17.8%, average CO catalytic performance of IFA from TIP and TSIP was 18.1% and 8.2%, and it of IBA from REMEX is 9.9%. Machine learning model had been used to analyze the catalytic performance with some characterization data and it is used to predict the catalytic performance in the future. …”
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