Machine-assisted map editing by Bastani, Favyen, He, Songtao, Abbar, Sofiane, Alizadeh, Mohammad, Balakrishnan, Hari, Chawla, Sanjay, Madden, Sam

“…We complement MAiD with a novel approach for inferring road topology from aerial imagery that combines the speed of prior segmentation approaches with the accuracy of prior iterative graph construction methods. We design MAiD to tackle the addition of major, arterial roads in regions where existing maps have poor coverage, and the incremental improvement of coverage in regions where major roads are already mapped. …”
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Representative identification of spectra and environments (RISE) using k‐means by Looney, Erin E, Liu, Zhe, Classen, Andrej, Liu, Haohui, Riedel, Nicholas, Braga, Marília, Balaji, Pradeep, Augusto, André, Buonassisi, Tonio, Marius Peters, Ian

“…In this work, we propose a classification method based on an iterative use of the k-means clustering algorithm. …”
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Mining Software Artifacts for use in Automated Machine Learning by Cambronero Sánchez, José Pablo

“…However, implementing a pipeline remains an iterative, tedious, and data-dependent task as users have to experiment with different pipeline designs. …”
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Evolving Paradigms in State-Level Integrated Resource Planning by Peluso, Nina

“…Section 4 uses capacity value assumptions to illuminate the iterative process around establishing model input assumptions. …”
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Automating Pareto-Optimal Experiment Design via Efficient Bayesian Optimization by Tian, Yunsheng

“…We propose DGEMO, a novel multi-objective Bayesian optimization algorithm that iteratively selects the best batch of samples to be evaluated in parallel. …”
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Learning stabilizable nonlinear dynamics with contraction-based regularization by Singh, Sumeet, Richards, Spencer M, Sindhwani, Vikas, Slotine, Jean-Jacques E, Pavone, Marco

“…Finally, we utilize random matrix feature approximations to reduce the dimensionality of the search parameters and formulate an iterative convex optimization algorithm that jointly fits the dynamics functions and searches for a certificate of stabilizability. …”
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Effect of Active and Passive Curvature on the Hydrodynamic Performance of Flapping Fins by Fernández-Gutiérrez, David, van Rees, Wim M

“…The shape is computed by iteratively enforcing constraints corresponding to membrane inextensibility, and negligible torsional stiffness of the rays. …”
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Optimization for Deep Learning: Bridging the Theory-Practice Gap by Yun, Chulhee

“…Lastly, we address a major theory-practice gap in stochastic finite-sum optimization: practical algorithms shuffle and iterate through component indices, while most theoretical analyses assume uniformly sampling the indices. …”
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Learning to Plan by Learning Rules by Araki, Minoru Brandon

“…We achieve satisfaction by planning over the hierarchical MDP using a modified version of value iteration. We achieve composability by building off of a hierarchical reinforcement learning (HRL) framework called the options framework, in which low-level options can be composed arbitrarily. …”
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Keep the Lights On: Ensuring Bulk-Power System Reliability in a Decarbonized Future by Wang, Cathy

“…This Thesis evaluates the modeling approaches currently used in capacity planning and resource adequacy frameworks, and proposes a new iterative approach to incorporating cost-efficiency, decarbonization, and reliability goals into capacity and resource adequacy planning. …”
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Assembling Integrated Electronics by Fredin, Zach

“…This thesis provides insight on module design and assembly automation for 3-dimensional electronics through two distinct prototype iterations. Evaluation of these systems revealed the mechanical limitations of commercial connectors, so an alternative method called digital materials is described which merges electrical interconnect and physical substrate. …”
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Social Change through Community Innovation: Feminist and Participatory Design Approaches to Organizing Inclusive, Equitable, and Joyful Hackathons by Hope, Alexis

“…To explore this, I present four case studies of iterations on the 2014 “Make the Breast Pump Not Suck” Hackathon held over the past seven years, including one event held virtually in response to COVID-19. …”
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Designing A Resilient Supply Chain by Peng, Pai, Rueckerl, Karoline

“…An optimization model was implemented to investigate the effect of supply chain resiliency and network design on transportation costs by iterating the model over various demand and resilience threshold scenarios. …”
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Democratizing Access to Supply Chain Finance for Small & Medium Enterprises by Kulluk, Emre Muzaffer, Nicholls, Daniel Granados

“…In addition, we propose solutions to common challenges drawn from the nature of a 3PL’s data structure and initial model iterations (i.e., cold start problem, feature acquisition). …”
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Design Knowledge Base Using Natural Language Processing by Gammack, Jack George Alexander

“…Design documentation at this stage contains extremely valuable information and expert knowledge that has been iterated upon for hundreds of years, but so much of that knowledge can only be stored in textual form and is therefore generally unused in big data and machine learning methods for engineering design. …”
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A Better Bus Map: How Good Transit Map Design Can Strengthen the MBTA’s Bus System by Boccon-Gibod, Alexander (Alexander J.)

“…Guided by two main principles of consistency with the MBTA’s brand and highlighting service frequency, this thesis iterates through different options to arrive at a draft proposal of a new bus map that reframes how the transit system—and broader region—can be depicted and perceived.…”
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Optimization of Cable-stayed Bridges at the Conceptual Design Stage by Oey, Olivia

“…However, conventional design approaches for bridge design places greater emphasis on detailed structural analysis than conceptualization, resulting in designers being stuck in an iterative design loop with a structurally inefficient system. …”
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Long Time Dynamics of Spherical Objects Governed by Surface Tension by Shao, Chengyang

“…This approach avoids using Nash-Moser type iterations, and sets the stage for further study of longer time behavior of spherical water waves. …”
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Computational Design and Control of Autonomous Underwater Vehicles by Salazar, Juan

“…Throughout our development process, we encountered a number of hardware-related obstacles concerning SoFi’s many custom components, which considerably slowed down our design iteration cycle. Using an automated pipeline that can synthesize designs from a pre-defined component library relieves the design cycle from the drawbacks of rules-of-thumb and highly customized components, and enables fast computational generation and evaluation of optimal performance underwater vehicles. …”
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Biology-inspired data-driven quality control for scientific discovery in single-cell transcriptomics by Subramanian, Ayshwarya, Alperovich, Mikhail, Yang, Yiming, Li, Bo

“…Taken together, our work proposes a revised paradigm to quality filtering best practices—iterative QC, providing a data-driven QC framework compatible with observed biological diversity.…”
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