Search Results - depth distribution algorithm

Blind Recognition of Forward Error Correction Codes Based on a Depth Distribution Algorithm by Mei, Fan, Chen, Hong, Lei, Yingke

“… Although the traditional algorithm can also recognize the type of codes, it is only applicable to the case without errors, and its practicability…”
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Landau distribution-based regularized algorithm for reconstruction of electron beam energy spectrum using depth dose distributions in targeted materials by Zolotov, Sergei A, Bliznyuk, Ulyana A, Antipina, Natalia A, Borshchegovskaya, Polina Yu, Chernyaev, Alexander P, Ipatova, Victoria S, Nikitchenko, Alexander D, Toropygina, Maria I, Nikolaeva, Anna A, Studenikin, Felix R

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Optimization of the two parameters in the deconvolution procedure for obtaining the original in-depth distribution of composition from measured sputter depth profile by genetic algorithm by Wang, C.L., Li, J., Liu, X.X., Chen, Y.L., Tan, Z.H., Li, H.W., Yang, H., Lian, S.Y., Wang, J.Y., Xu, C.K.

“… (atomic Mixing-Roughness-Information depth) depth resolution function was recently proposed for reconstructing the original in-depth distribution of composition directly from measured depth profiling data…”
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A forest-based algorithm for selecting informative variables using Variable Depth Distribution by Voronov, Sergii, Jung, Daniel, Frisk, Erik

“… This paper presents a forest-based variable selection algorithm that analyzes the distribution of a variable in the decision tree structure, called Variable Depth Distribution, to measure its importance…”
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Node-Depth Encoding and Multiobjective Evolutionary Algorithm Applied to Large-Scale Distribution System Reconfiguration by Santos, A C, Delbem, A C B, London, J B A, Bretas, N G

“…The power loss reduction in distribution systems (DSs) is a nonlinear and multiobjective problem…”
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Optimal depth-first algorithms and equilibria of independent distributions on multi-branching trees by Peng, Weiguang, Peng, NingNing, Ng, KengMeng, Tanaka, Kazuyuki, Yang, Yue

“… We first show that for any independent distribution d on assignments for a multi-branching tree, a certain directional algorithm DIRd is optimal among all the depth-first algorithms…”
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Predicting the spatial distribution of organic carbon in soil by combining machine learning algorithms and spline depth function in a part of Golestan Province, Iran by Emami, Maryam, Khormali, Farhad, Pahlavan-Rad, Mohammad Reza, Ebrahimi, Soheila

“… (RF) methods in predicting the distribution of SOC content at four soil depths of 0…”
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A Node-Depth Encoding-Based Tabu Search Algorithm for Power Distribution System Restoration by Mathias-Neto, Waldemar Pereira, Mantovani, José Roberto Sanches

“…This paper presents a new algorithm to solve the distribution power system restoration problem based on a joint application of tabu search (TS…”
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An Algorithm to Optimize Electrical Flows of Private Cloud Infrastructures by Ferreira, Joao, Dantas, Jamilson, Araujo, Jean, Mendonca, Danilo, Maciel, Paulo, Callou, Gustavo

“… This paper proposes a power load distribution algorithm in depth search (PLDA-D) to optimize the power distribution of private cloud electrical infrastructures…”
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FEASIBILITY STUDY ON THE FUSION OF PHITS SIMULATIONS AND THE DLNN ALGORITHM FOR A NEW QUANTITATIVE METHOD OF IN-SITU MULTIPLE-CHANNEL DEPTH DISTRIBUTION SPECTROMETRY by Sakama, M, Fujimoto, K, Inoue, K, Fukushi, M, Imajyo, Y, Fukuhara, T, Matsuura, M, Yajima, T, Endo, M, Fujisawa, M, Matsumoto-Kawaguchi, E

“…We have recently have developed an in-situ multiple-channel depth distribution spectrometer (DDS…”
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A robust optimization method for weighted-layer-stacking proton beam therapy by Sakamoto, Yusuke, Maeda, Yoshikazu, Yamada, Yukiko, Ikeda, Masahiro, Tameshige, Yuji, Sasaki, Makoto, Shibata, Satoshi, Yamamoto, Kazutaka

“…). The purpose of this work is to demonstrate the effectiveness of a new weight optimization algorithm that can enhance the robustness of dose distributions against layer depth variation in layer…”
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Dose reconstruction from PET images in carbon ion therapy: a deconvolution approach by Hofmann, T, Pinto, M, Mohammadi, A, Nitta, M, Nishikido, F, Iwao, Y, Tashima, H, Yoshida, E, Chacon, A, Safavi-Naeini, M, Rosenfeld, A, Yamaya, T, Parodi, K

“… Predictions of these positron emitter distributions are usually obtained from time-consuming Monte Carlo simulations or measurements from previous treatment fractions, and their comparison…”
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Application of activity pencil beam algorithm using measured distribution data of positron emitter nuclei for therapeutic SOBP proton beam by Miyatake, Aya, Nishio, Teiji

“… Depth activity distributions with SOBP beam irradiations were obtained from the material information of ridge filter (RF…”
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Non-depth-first search against independent distributions on an AND–OR tree by Suzuki, Toshio

“…–OR tree, where they took only depth-first algorithms into consideration. (1) Suppose that a positive real number r…”
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Target depth-regularized reconstruction in diffuse optical tomography using ultrasound segmentation as prior information by Zhang, Menghao, Uddin, K. M. Shihab, Li, Shuying, Zhu, Quing

“…) for depth-dependent reconstruction of absorption distribution. CNN segments co-registered US to extract both spatial and depth priors, and the depth-regularized algorithm incorporates these parameters into the reconstruction…”
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Random forests as a tool to understand the snow depth distribution and its evolution in mountain areas by Revuelto, Jesús, Billecocq, Paul, Tuzet, François, Cluzet, Bertrand, Lamare, Maxim, Larue, Fanny, Dumont, Marie

“… As this leads to uncertainties in high spatial resolution snowpack simulations, a deeper understanding of the role of terrain features on the small scale distribution of snow depth is required…”
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Light and Shadow in Mapping Alpine Snowpack With Unmanned Aerial Vehicles in the Absence of Ground Control Points by Revuelto, Jesús, López‐Moreno, Juan Ignacio, Alonso‐González, Esteban

“…Recent developments in unmanned aerial vehicles (UAV) and structure from motion (SfM) algorithms have shown reliable results for retrieving snow depth distribution…”
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A reversible-jump Markov chain Monte Carlo algorithm for 1D inversion of magnetotelluric data by Mandolesi, Eric, Ogaya, Xenia, Campanyà, Joan, Piana Agostinetti, Nicola

“…) inverse problem using a Bayesian trans-dimensional Markov chain Monte Carlo algorithm. MT data are sensitive to the depth-distribution of rock electric conductivity…”
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Restoration algorithm of the depth distribution of electrophysical properties of semiconductors in microwave microscopy by Gordienko, Yu E., Larkin, S. Yu, Melnyk, S. I., Slipchenko, N. I.

“…Restoration algorithm of the depth distribution of the electrical properties of semiconductor materials and products in the method of microwave scanning is studied…”
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Bayesian physical–statistical retrieval of snow water equivalent and snow depth from X- and Ku-band synthetic aperture radar – demonstration using airborne SnowSAr in SnowEx'17 by Singh, Siddharth, Durand, Michael, Kim, Edward, Barros, Ana P.

“… The statistical model is a Bayesian inference model that seeks to estimate the joint probability distribution of volume backscatter measurements, snow density and snow depth, and physical model parameters…”
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