Browsing MIT Open Access Articles by Title

Now showing items 9961-9980 of 55747

    • Data-driven prediction of EVAR with confidence in time-varying datasets 

      Axelrod, Allan; Carlone, Luca; Chowdhary, Girish; Karaman, Sertac (Institute of Electrical and Electronics Engineers (IEEE), 2016-12)
      The key challenge for learning-based autonomous systems operating in time-varying environments is to predict when the learned model may lose relevance. If the learned model loses relevance, then the autonomous system is ...

    • Data-Driven Prediction of Quartz Dissolution Rates at Near-Neutral and Alkaline Environments 

      Olivetti, Elsa (2022-07-06)
      Dissolution of silicate-based materials is important to many natural processes and engineering applications, including cement and concrete production. Here, we present a data-driven study to predict the dissolution rates ...

    • Data-Driven Reduced Model Construction with Time-Domain Loewner Models 

      Gugercin, Serkan; Peherstorfer, Benjamin; Willcox, Karen E (Society for Industrial & Applied Mathematics (SIAM), 2017-09)
      This work presents a data-driven nonintrusive model reduction approach for large-scale time-dependent systems with linear state dependence. Traditionally, model reduction is performed in an intrusive projection-based ...

    • A Data-Driven Regularization Model for Stereo and Flow 

      Freeman, William T.; Wei, Donglai; Liu, Ce (Institute of Electrical and Electronics Engineers (IEEE), 2014-12)
      Data-driven techniques can reliably build semantic correspondence among images. In this paper, we present a new regularization model for stereo or flow through transferring the shape information of the disparity or flow ...

    • Data-driven robust optimization 

      Gupta, Vishal; Kallus, Nathan; Bertsimas, Dimitris J (Springer Berlin Heidelberg, 2017-02)
      The last decade witnessed an explosion in the availability of data for operations research applications. Motivated by this growing availability, we propose a novel schema for utilizing data to design uncertainty sets for ...

    • Data-driven sustainable ship design using Axiomatic Design and Bayesian Network Model 

      Fardelas, G; Kim, S G (IOP Publishing, 2021-08-01)
      Environmental sustainability, as well as social and economic well-being, must be considered in every stage of a product lifecycle, from conceptual design to its retirement. Even though this sustainability-centric approach ...

    • Data-driven synthesis for object-oriented frameworks 

      Yessenov, Kuat T.; Xu, Zhilei; Solar-Lezama, Armando (Association for Computing Machinery (ACM), 2011-10)
      Software construction today often involves the use of large frameworks. The challenge in this type of programming is that object-oriented frameworks tend to grow exceedingly intricate; they spread functionality among ...

    • Data-Driven Transit Network Design at Scale 

      Bertsimas, Dimitris; Ng, Yee Sian; Yan, Julia (Institute for Operations Research and the Management Sciences (INFORMS), 2021)
      <jats:p> Mass transit remains the most efficient way to service a densely packed commuter population. However, reliability issues and increasing competition in the transportation space have led to declining ridership across ...

    • Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation 

      Ota, Kei; Jha, Devesh K; Romeres, Diego; van Baar, Jeroen; Smith, Kevin A; e.a. (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Humans quickly solve tasks in novel systems with complex dynamics, without requiring much interaction. While deep reinforcement learning algorithms have achieved tremendous success in many complex tasks, these ...

    • Data-Free Learning of Reduced-Order Kinematics 

      Sharp, Nicholas; Romero, Cristian; Jacobson, Alec; Vouga, Etienne; Kry, Paul; e.a. (ACM|Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings, 2023-07-23)

    • Data-mined similarity function between material compositions 

      Yang, Lusann; Ceder, Gerbrand (American Physical Society, 2013-12)
      A new method for assessing the similarity of material compositions is described. A similarity measure is important for the classification and clustering of compositions. The similarity of the material compositions is ...

    • Database abstractions for managing sensor network data 

      Madden, Samuel R. (Institute of Electrical and Electronics Engineers (IEEE), 2010-07)
      Sensor networking hardware, networking, and operating system software has matured to the point that the major challenges facing the field now have to do with storing, cleaning, and querying the data such networks produce. ...

    • Database architecture (R)evolution: New hardware vs. new software 

      Madden, Samuel R.; Harizopoulos, S.; Argyros, T.; Boncz, P. A.; Dietterich, D.; e.a. (Institute of Electrical and Electronics Engineers (IEEE), 2010-04)
      The last few years have been exciting for data management system designers. The explosion in user and enterprise data coupled with the availability of newer, cheaper, and more capable hardware have lead system designers ...

    • Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds 

      Georgescu, Alexandru B; Ren, Peiwen; Toland, Aubrey R; Zhang, Shengtong; Miller, Kyle D; e.a. (American Chemical Society (ACS), 2021)

    • A Database-driven decision support system: customized mortality prediction 

      Celi, Leo Anthony G.; Galvin, Sean; Davidzon, Guido; Lee, Joon; Scott, Daniel; e.a. (MDPI AG, 2012-09)
      We hypothesize that local customized modeling will provide more accurate mortality prediction than the current standard approach using existing scoring systems. Mortality prediction models were developed for two subsets ...

    • DataHub: Collaborative Data Science & Dataset Version Management at Scale 

      Bhardwaj, Anant P.; Bhattacherjee, Souvik; Chavan, Amit; Deshpande, Amol; Elmore, Aaron J.; e.a. (2015-01)
      Relational databases have limited support for data collaboration, where teams collaboratively curate and analyze large datasets. Inspired by software version control systems like git, we propose (a) a dataset version ...

    • A Dataset of Flash and Ambient Illumination Pairs from the Crowd 

      Aksoy, Yagiz; Kim, Changil; Kellnhofer, Petr; Paris, Sylvain; Elgharib, Mohamed; e.a. (Springer International Publishing, 2018)
      Illumination is a critical element of photography and is essential for many computer vision tasks. Flash light is unique in the sense that it is a widely available tool for easily manipulating the scene illumination. We ...

    • A Dataset of Multi-Illumination Images in the Wild 

      Murmann, Lukas; Gharbi, Michael Yanis; Aittala, Miika; Durand, Frederic (IEEE, 2019-11)
      Collections of images under a single, uncontrolled illumination have enabled the rapid advancement of core computer vision tasks like classification, detection, and segmentation. But even with modern learning techniques, ...

    • Datathons and Software to Promote Reproducible Research 

      Celi, Leo Anthony G.; Lokhandwala, Sharukh; Montgomery, Robert; Moses, Christopher A; Pollard, Tom Joseph; e.a. (Gunther Eysenbach, JMIR, 2016-08)
      Background: Datathons facilitate collaboration between clinicians, statisticians, and data scientists in order to answer important clinical questions. Previous datathons have resulted in numerous publications of interest ...

    • Data‐Driven Inference of the Mechanics of Slip Along Glacier Beds Using Physics‐Informed Neural Networks: Case study on Rutford Ice Stream, Antarctica 

      Riel, B; Minchew, B; Bischoff, T (American Geophysical Union (AGU), 2021)