Mono‐Model Parameter Joint Inversion by Gramian Constraints: EM Methods Examples by Ogunbo, J. N.

“…This implementation allows the Gramian constraint to enhance the linear correlation of the model parameter between the two methods as the number of iterations increases. Improvement of the final joint inversion results over the standalone models is noticeable for both 3% noise-contaminated synthetic and field data experiments. …”
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A new calibration method for charm jet identification validated with proton-proton collision events at √s = 13 TeV by Harris, Philip

“…This new method adjusts the entire distributions of the outputs obtained when the algorithms are applied to jets of different flavours. It is based on an iterative approach exploiting three distinct control regions that are enriched with either b jets, c jets, or light-flavour and gluon jets. …”
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State planning, cancer vaccine infrastructure, and the origins of the oncogene theory by Scheffler, Robin W, Aviles, Natalie B

“…The NCI’s organizational mandate established program goals that iteratively braided together both scientific research and public health outcomes. …”
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ExCel: Super-Resolution Imaging of C. elegans with Expansion Microscopy by Yu, Chih-Chieh, Orozco Cosio, Danielle M, Boyden, Edward S

“…The epitope-preserving ExCel protocol enables imaging of endogenous proteins with off-the-shelf antibodies, at a ~ 100 nm resolution (~2.8× linear expansion). The iterative ExCel protocol allows readout of fluorescent proteins at ~25 nm resolution (~20× linear expansion). …”
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Noise-resilient deep learning for integrated circuit tomography by Guo, Zhen, Liu, Zhiguang, Barbastathis, George, Zhang, Qihang, Glinsky, Michael E, Alpert, Bradley K, Levine, Zachary H

“…The prior learned from training data replaces the general-purpose priors in iterative algorithms, achieving high-quality reconstructions with a neural network. …”
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Assessing Early Stage Design Sketches and Reflections on Prototyping by Das, Madhurima, Yang, Maria C

“…This study presents a new tool to capture what is learned by the designer after each iteration of a prototype. Preliminary results indicate that reflection on both the technical and emotional aspects of prototyping may be valuable and should be an area of further study. …”
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Design and Evaluation of a Precision Irrigation Tool’s Human–Machine Interaction to Bring Water- and Energy-Efficient Irrigation to Resource-Constrained Farmers by Van de Zande, Georgia D., Grant, Fiona, Sheline, Carolyn, Amrose, Susan, Costello, Jeffery, Ghodgaonkar, Aditya, Winter V, Amos G.

“…Interviewees provided feedback on how to improve the tool’s design in future iterations. If adopted at scale, the proposed AS-MO tool could increase efficiency on farms that otherwise cannot afford current precision irrigation technology, improving sustainable agriculture worldwide.…”
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Modeling Inertia-Driven Oil Transport Inside the Three-Piece Oil Control Ring of Internal Combustion Engines by Yang, Tsung-Yu, Li, Mo, Tian, Tian

“…Incorporating the boundary conditions at the rail gaps and drain holes, this simple model can complete computations for 10,000 cycles within a few seconds, allowing for quick the evaluation of transient behavior and design iterations. Studies on low-load conditions show that the model, with reasonable adjustment for the boundary conditions, can match the oil distribution patterns observed in visualization experiments. …”
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A System for Interleaving Discussion and Summarization in Online Collaboration by Tian, Sunny, Zhang, Amy, Karger, David

“…We found that Wikum+'s integration of discussion and summarization helped users be more organized, allowing for light-weight coordination and iterative improvements throughout the collaboration process. …”
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6.451 Principles of Digital Communication II, Spring 2003 by Forney, G. David

“…More advanced topics include trellis representations of binary linear block codes and trellis-based decoding; codes on graphs; the sum-product and min-sum algorithms; the BCJR algorithm; turbo codes, LDPC codes and RA codes; and performance of LDPC codes with iterative decoding. Finally, the course addresses coding for the bandwidth-limited regime, including lattice codes, trellis-coded modulation, multilevel coding and shaping. …”
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Blind Separation of Noisy Multivariate Data Using Second-Order Statistics: Remote-Sensing Applications by Mueller, Amy V., Herring, Keith T., Staelin, David H.

“…The algorithm estimates the Second-Order separation matrix A, signal Order k, and Noise and is therefore designated as SOON. SOON first iteratively estimates k and G using a scree metric, singular-value decomposition, and the expectation-maximization algorithm, and then determines the values of AP and W. …”
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A Sparsity Detection Framework for On–Off Random Access Channels by Fletcher, Alyson K., Rangan, Sundeep, Goyal, Vivek K.

“…We then present a new algorithm, called sequential OMP, that illustrates that iterative detection combined with power ordering or power shaping can significantly improve the high SNR performance. …”
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Weakly Group-Theoretical and Solvable Fusion Categories by Etingof, Pavel I., Nikshych, Dmitri, Ostrik, Viktor

“…These are fusion categories that are Morita equivalent to iterated extensions (in the world of fusion categories) of arbitrary, respectively solvable finite groups. …”
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Do serum biomarkers really measure breast cancer? by Mukherjee, Sayan, Yurkovetsky, Zoya, Clyde, Merlise, Marks, Jeffrey R., Lokshin, Anna E., Lo, Joseph Y., Jesneck, Jonathan Lee

“…Because of significant noise in the data set, we applied iterated Bayesian model averaging to account for model selection uncertainty and to improve generalization performance. …”
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Linear Programming Algorithms for Sparse Filter Design by Baran, Thomas A., Wei, Dennis, Oppenheim, Alan V.

“…The first technique iteratively thins the impulse response of a non-sparse filter until frequency-domain constraints are violated. …”
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Lower bounds on the performance of Analog to Digital Converters by Osqui, Mitra, Megretski, Alexandre, Roozbehani, Mardavij

“…The specific structure of the problem is used to prove certain properties of the value function that allow for iterative computation of a certified solution to the Bellman inequality. …”
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RNA Folding with Soft Constraints: Reconciliation of Probing Data and Thermodynamic Secondary Structure Prediction by Mag Washietl, Stefan, Hofacker, Ivo L., Stadler, Peter F., Kellis, Manolis

“…We present an efficient algorithm to iteratively calculate pseudo-energies within this framework and demonstrate how this approach can be used in combination with SHAPE chemical probing data to improve secondary structure prediction. …”
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Automated ARGET ATRP Accelerates Catalyst Optimization for the Synthesis of Thiol-Functionalized Polymers by Siegwart, Daniel J., Leiendecker, Matthias, Anderson, Daniel Griffith, Langer, Robert S

“…Conventional synthesis of polymers by ATRP is relatively low throughput, involving iterative optimization of conditions in an inert atmosphere. …”
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Likelihood Methods for Point Processes with Refractoriness by Citi, Luca, Brown, Emery N., Barbieri, Riccardo, Ba, Demba E.

“…In particular, one can use standard fitting procedures for generalized linear models based on iteratively reweighted least squares while improving the accuracy of the approximation to the likelihood and reducing bias in the estimation of the parameters of the underlying continuous-time model. …”
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Denoising sparse images from GRAPPA using the nullspace method (DESIGN) by Weller, Daniel S., Polimeni, Jonathan R., Grady, Leo, Wald, Lawrence L., Adalsteinsson, Elfar, Goyal, Vivek K.

“…In addition, the measured g-factors suggest that DEnoising of Sparse Images from GRAPPA using the Nullspace method mitigates noise amplification better than both GRAPPA and L1 iterative self-consistent parallel imaging reconstruction (the latter limited here by uniform undersampling).…”
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